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AI DiscoveryLabs
Technographic, intent, event and renewal signals in one view

Know which accounts are ready to switch before your competitors do.

AI Discovery Labs shows you which companies run which technologies, when their contracts come up for renewal, and who signs off on the decision. Your team spends its week on accounts that can actually move this quarter.

72h
Workbook deliveredScored, sourced, CRM-ready
app.aidislabs.com/atlas/displacement
Accounts in scope0
Renewing ≤ 6 mo0▲ 18%
Act now0
Displacement readiness Sample
Live signals Sample
    86
    Readiness scoreRenewal + ICP fit, 50/50
    14.2M+companies tracked globally
    12,000+technology products detected
    98.4%data accuracy rate
    340+industry events indexed

    Delivers straight into the tools your revenue team already uses

    SalesforceHubSpotMicrosoft DynamicsSnowflakeMicrosoft ExcelCSV export40+ integrations

    Most lead lists tell you who exists. Few tell you who can buy.

    A contact database gives you names. Winning a competitive deal takes three more facts: what the account runs today, when that commitment ends, and who will make the call. We put all three on the same row.

    The incumbent

    We detect the technologies installed at each account, separate a true head-to-head competitor from an adjacent or overlay tool, and track acquisitions that change who the real vendor is.

    The timing

    Renewal windows, contract signals, hiring shifts and event activity show when an account is open to change. Reps reach out in the months that matter, not the months after a renewal has been signed.

    The committee

    Economic buyers, technical evaluators and day-to-day users are mapped for each account, so outreach starts with the people who decide rather than whoever answered last.

    Size your displacement opportunity in ten seconds.

    Type the competitor you replace most often. See its install base from the Atlas™ Technographic Index, then estimate how many of its customers are in your window right now.

    Pick a competitor to begin.

    Or try one of the popular choices on the left.

    Five signal layers, one readiness score.

    Each layer answers a different question. On its own, any one of them is noise. Stacked and scored, they produce a ranked list your team can act on Monday morning.

    • Firmographics confirm the account fits your ICP by size, industry and region.
    • Technographics confirm a competitor is installed and how deeply it is used.
    • Intent shows the account is researching your category right now.
    • Events show which teams are attending, sponsoring or sending senior staff.
    • Renewal timing shows when the current contract is up for decision.
    86 readiness score

    See the renewal wave before it breaks.

    Competitive deals are won in the six months before a renewal, not after it. We plot when your competitor’s customers come up for decision, so you can staff, sequence and budget against real windows.

    Renewal dates are reported at month and year only. We never present a modelled estimate as an exact contract date, and every timing field links to the source it came from.

    How Atlas™ scores timing
    Competitor renewals by monthIllustrative account set
    Outreach window (next 6 months)Plan and nurture

    From brief to booked meetings in four steps.

    1. Define the target

      Tell us your ICP, the competitors you replace and the regions you sell into. Fifteen minutes on a call is enough.

    2. Detect and verify

      We find accounts running those products, confirm each competitive relationship and check for acquisitions or structural changes.

    3. Score and deliver

      Accounts are ranked by readiness and delivered as an Atlas™ workbook or a CRM-ready file within 72 hours.

    4. Activate

      Push to Salesforce, HubSpot or Dynamics, run it yourself, or let our Done-For-You team run the outbound for you.

    Built for every team that touches revenue.

    Sales

    Prioritised territories, competitor-specific talk tracks and named buyers for every account. Reps open with a reason to talk, not a generic pitch.

    Sales use cases

    Marketing

    ABM audiences built from installed technology and live intent, plus event lists that show who will be in the room before you book the booth.

    Marketing use cases

    Revenue operations

    Clean enrichment, transparent scoring logic and weekly refreshes that keep your CRM accurate without another manual data project.

    RevOps use cases

    Strategy, PE and VC

    Bottom-up market sizing, competitor install-base analysis and portfolio monitoring for diligence, planning and exit preparation.

    Strategy use cases

    What a typical data tool gives you, and what we add.

    Every category of GTM data answers part of the question. The table shows the typical scope of each approach, and where an Atlas™ dataset fills the gaps.

    What your team needs to knowContact databaseIntent-only platformTechnographic lookupAI Discovery Labs
    Who to contactNames and emailsSometimesRarelyNamed buying committee by role
    What the account runs todayRarelyRarelyDetected installsInstalls, verified as direct, adjacent or overlay
    When the current contract renewsNoNoNoMonth and year, sourced
    Whether they are researching nowNoCategory intentNoIntent layered on fit, where available
    A source cited for each fieldRarelyRarelySometimesEvery intelligence field
    A plan your team can workA listA scoreA list17-tab workbook in 72 hours

    Categories describe the typical scope of each type of tool, not any specific vendor.

    Data you can defend in a pipeline review.

    Intelligence is only useful if your team trusts it. These standards apply to every record we ship.

    • Every intelligence field traces back to a cited source.
    • No fabricated intent scores and no modelled proxies dressed up as measured signals.
    • Competitor relationships are verified as direct, adjacent or overlay before they are scored.
    • 95% contact deliverability, with free replacement of bad records for 30 days.
    • Unlimited use of the data you buy, with no seat-based lock-in.
    Atlas™ Technographic Index

    12,130 technologies. Free to search.

    See how many companies run a product, where it ranks in its category and which competitors sit around it. 47 ranked categories across sales, marketing, support, HR and security, every figure linked to its source.

    Read the State of the GTM Stack report

    Largest categories by companies trackedTop 15 of 47, Oct–Nov 2026

    Who leads each market right now.

    The top five technologies in every category of the index, by companies detected. Choose a category to see how concentrated it is and where the openings are.

    Companies trackedin this category
    Top five combined share

    See all technologies

    Three hard truths about your pipeline.

    01

    Most of your list can’t buy this quarter.

    Software is bought on annual terms. In any given quarter, only a fraction of your target accounts are anywhere near a decision. Calling the rest is polite, expensive and early.

    02

    Your CRM is decaying while you read this.

    Around 2.1% of B2B contact data goes stale every month, according to HubSpot’s MarketingSherpa-based benchmark. Nobody notices until the bounce rate does.

    03

    You get about 5% of the buyer’s time.

    Gartner found buyers spend 17% of their purchase time with suppliers, split across every vendor in the running. Spend your slice on accounts that are ready.

    Why the right data pays for itself.

    Independent research shows how much time and money revenue teams lose to missing and decaying information.

    40%

    of a rep’s week is spent selling.

    Salesforce, State of Sales 2026
    17%

    of buyers’ purchase time goes to meeting suppliers.

    Gartner
    22.5%

    of B2B contact data decays each year.

    HubSpot and MarketingSherpa
    $12.9M

    average annual cost of poor data quality.

    Gartner

    Why a readiness score beats a lead score.

    Lead scores reward activity: clicks, downloads, webinar attendance. Activity tells you someone is curious. It does not tell you whether their company can buy.

    A readiness score asks two harder questions. Does the account look like your best customers, and is its current commitment ending soon enough to matter? An account can score high on readiness without ever visiting your website, which is exactly why your competitors are not calling it yet.

    Lead scoreReadiness score
    Built fromEngagement with your contentICP fit and renewal timing
    Finds accounts thatAlready know youCan switch, whether or not they know you
    Best signal ofInterestAbility to buy
    Explains itselfRarelyTwo inputs, each with a source
    Goes stale whenEngagement stopsThe contract renews

    Frequently asked questions

    What is competitor displacement data?

    A list of companies that currently use a competitor’s product, enriched with when that contract is likely to come up for renewal and who decides. It lets your team focus on accounts that are already buying in your category.

    How is AI Discovery Labs different from a contact database?

    A contact database tells you who works where. We add what each account runs today, whether that product is a direct competitor or an overlay, when the commitment ends, and a cited source for each of those facts.

    Do I need a platform subscription to buy an Atlas™ dataset?

    No. Atlas™ datasets are sold per account, with unlimited contacts at each account, and delivered as a workbook and CRM-ready file. Many teams start with a dataset and add a platform plan later.

    How current is the data?

    Technology data refreshes weekly on the platform. Atlas™ datasets are built fresh for each order and checked against sources before delivery.

    What if a contact bounces?

    Atlas™ datasets carry a 95% deliverability guarantee. Bad contacts are replaced free for 30 days.

    Find the accounts your competitors are about to lose.

    Send us one competitor and one ICP. We will show you a sample of the accounts that fit, scored and sourced.

    One platform for knowing your market account by account.

    Search 14.2 million companies by the technology they run, size every segment from the bottom up, and score accounts on how ready they are to buy. Then send the results wherever your team works.

    Six capabilities that work as one.

    Each module is useful alone. Together they take you from total market to a short list of accounts worth calling this week.

    Technology discovery

    Search companies by the specific products they use across 12,000+ technologies, with deployment intensity scores that separate a trial from a core system.

    IT spend intelligence

    Forecasted IT spend across 140+ categories at the account level, aligned to next-12-month budget cycles, so you know where money is likely to move.

    Buyer intent

    Category-level research signals layered on top of technographics, showing which accounts are actively evaluating solutions like yours.

    Market sizing

    Bottom-up TAM, SAM and SOM by geography, industry and company size, built from real accounts rather than analyst top-down estimates.

    AI-powered scoring

    No-code predictive models that rank accounts on propensity, ICP fit and sales readiness, with the logic for every score visible to your team.

    Event insights

    Track 340+ industry events to see which companies attend, sponsor and send senior teams, and plan your field programme around them.

    Explore events

    Size the market from the accounts up.

    Top-down market numbers make good slides and bad territory plans. We start with real companies, apply your filters in order, and show exactly how many accounts survive each step.

    The result is a number you can plan quota against, plus the list of accounts behind it.

    From total market to sales-readyIllustrative segment

    Data flows into the tools you already use.

    Business and Enterprise plans connect to 40+ destinations. Every plan can export to CSV or a formatted Excel workbook.

    Scoring your team can read.

    A black-box score gets ignored. Ours shows the inputs, their weights and the source of each value, so a rep can explain in one sentence why an account is at the top of the list.

    InputWhat it measuresWhere it comes from
    ICP fitMatch to your target size, industry, region and stackFirmographic and technographic records
    Renewal proximityMonths until the current contract is up for decisionContract and procurement signals, reported month-year
    Deployment intensityHow deeply the incumbent product is usedTechnology detection with confidence scores
    IntentActive research in your categoryCommunity intent data, where available
    Event activityAttendance, sponsorship and seniority at eventsEvent insights index

    Inside each capability.

    What every module delivers, and the questions it answers for your team.

    Search companies by the products they run.

    Filter 14.2M+ companies by any combination of 12,000+ technologies, then layer firmographics on top. Every install carries a confidence score and a deployment intensity rating.

    Questions it answers

    • Which mid-market fintechs in Europe run our top competitor?
    • Which of those also use the CRM we integrate with?
    • Who added or dropped a product in our category this month?
    Technology search
    Uses: Competitor CRMEmployees: 200 to 2,000Region: EMEAExcludes: our customers
    AccountIntensityConfidence
    Northwind FreightCoreHigh
    Halcyon HealthModerateHigh
    Brightline PayCoreMedium
    Solent LogisticsLightHigh

    Sample data. 1,284 accounts match.

    Know where budget is likely to move.

    Account-level IT spend forecasts across 140+ categories, aligned to the next 12-month budget cycle. Use them to rank territories by wallet, not just by headcount.

    Questions it answers

    • Which accounts spend most in our category today?
    • Where is category spend forecast to grow next year?
    • Is this deal size realistic for this account?
    Spend profile

    Forecast category spend, next 12 months

    CRM
    Marketing automation
    Data warehouse
    Help desk
    Analytics

    Sample account. Relative spend by category.

    See who is researching your category now.

    Category-level intent signals layered on top of technographics. Intent alone is noisy; intent on an account that runs a competitor and renews soon is a reason to call today.

    Questions it answers

    • Which competitor accounts are actively evaluating alternatives?
    • Which topics are they researching?
    • Has interest risen or fallen over the last month?
    Intent trend
    Topic: CRM migrationTopic: data importTopic: pricing comparison

    Sample account. Weekly research activity, last 10 weeks.

    Size every segment from real accounts.

    TAM, SAM and SOM by geography, industry and company size, built by counting actual companies rather than applying percentages to analyst reports. Every number drills down to the list behind it.

    Questions it answers

    • How many accounts can we realistically sell to in DACH?
    • Is our next vertical big enough to justify a team?
    • How should we split territories fairly?
    Market model
    TAM48,000
    SAM12,400
    SOM1,120
    North America
    Europe
    APAC

    Illustrative segment.

    Rank accounts with logic your team can read.

    No-code models score propensity, ICP fit and sales readiness. Each score shows its inputs and weights, so a rep can explain in one sentence why an account sits at the top of the list.

    Questions it answers

    • Which 50 accounts should each rep work this month?
    • Why did this account move up the list?
    • Which signals actually predict our wins?
    Score breakdown
    Readiness86
    Renewal90
    ICP fit82
    Industry match
    Size band
    Stack overlap
    Region

    Sample account.

    Workflows teams run on the platform.

    Annual territory planning

    1. Size each region bottom-up.
    2. Weight accounts by IT spend and fit.
    3. Balance territories by readiness, not just count.
    4. Export to CRM with owners assigned.

    ABM programme launch

    1. Filter by competitor install and ICP.
    2. Layer live category intent.
    3. Build tiered audiences of 50, 250 and 1,000.
    4. Sync to ad and outbound tools.

    Competitive displacement campaign

    1. Choose the incumbent to target.
    2. Rank accounts by renewal window.
    3. Map the buying committee.
    4. Sequence outreach 90 days pre-renewal.

    Ready for enterprise teams.

    Enterprise plans add the controls large revenue organisations need to roll data out safely across regions and teams.

    Enterprise SSO

    Single sign-on and centralised user management.

    Snowflake data share

    Query Atlas™ data directly alongside your own.

    Custom SLA

    Agreed uptime guarantees and support response times.

    Private cloud deployment

    Run in an environment that meets your requirements.

    Custom data fields

    Add the attributes your models and routing depend on.

    Unlimited seats

    Roll out to every rep, marketer and analyst.

    Platform questions

    How often is technology data refreshed?

    Weekly. New installs and removals appear in search results and change alerts after each refresh.

    Can I combine technographic filters with my own CRM data?

    Yes. Exclude existing customers and open opportunities using your CRM sync, or join data in Snowflake on Enterprise plans.

    How does scoring handle accounts without renewal data?

    They are scored on ICP fit alone and clearly labelled, so they never appear more urgent than the evidence supports.

    Which CRMs do you integrate with?

    Salesforce, HubSpot and Microsoft Dynamics are supported directly. Business and Enterprise plans include all 40+ integrations, and every plan can export to CSV or Excel.

    See the platform on your own market.

    We will run a live search on your competitors and your ICP during the demo.

    Atlas™ competitor displacement datasets.

    A ready-to-work list of companies running a competitor’s product, ranked by how soon they can switch and how well they fit. Delivered as an analyst-grade workbook in 72 hours.

    Displacement readiness score
    50 / 50 weighting Renewal proximityHow soon the contract is up ICP fitHow closely it matches you

    Where no expiry data exists, accounts are scored on ICP fit alone and labelled that way.

    What is inside every workbook.

    Seventeen tabs, arranged in the order a seller actually uses them: orient, prioritise, understand, engage, prove the value and keep the data honest.

    Orient

    Cover
    Executive summary
    Portfolio dashboard

    Prioritise

    Scoring
    Master intelligence
    Renewal timing

    Understand

    Account profiles
    Trigger events
    Buying committee
    Stakeholder map

    Engage

    Competitive battlecards
    Action plan 30-60-90

    Prove

    ROI and TCO model
    Deal scenarios
    Risk assessment

    Govern

    Methodology
    Glossary
    Three-year cohort cash flowIllustrative model

    An ROI model your buyer’s CFO will accept.

    The ROI and TCO tab is a real three-year cohort cash-flow model, not a single “10x return” multiplier. It accounts for switching costs, ramp time and churn, and shows the quarter in which the investment pays back.

    Your champion can change the assumptions in front of their finance team and watch the payback period update.

    Anatomy of a single Atlas™ record.

    Every row in the Master Intelligence tab answers the same five questions: who they are, what they run, when it renews, who decides, and why now. Each answer carries its source.

    • Incumbent and relationship tell the rep whether this is a rip-and-replace or a partner play.
    • Readiness score shows its two inputs, so the ranking can be explained in one sentence.
    • Trigger event gives the opening line for outreach.
    • Source column lets anyone audit the record in seconds.
    Sample recordMeridian Retail GroupRetail, 2,400 employees, United States
    Tier 1
    Renewal proximity90
    ICP fit82
    Readiness86
    Incumbent
    Competitor CRM Direct
    Renewal window
    Mar 2027
    Buying committee
    VP Revenue Operations (economic buyer), Director of CRM Systems (technical), Sales Enablement Lead (user)
    Trigger event
    New Chief Revenue Officer appointed, Aug 2026
    Recommended play
    Migration-cost battlecard, 90-day outreach before renewal
    Sources
    Vendor case study, company press release, job posting (all cited)

    Illustrative record. Company and values are fictional.

    Two tiers of confidence, clearly labelled.

    Tier 1 accounts Highest confidence

    Confirmed customers of the competitor, with named contacts and a direct source citation for the relationship. Ready for personalised, one-to-one outreach.

    Tier 2 accounts Confirmed, no named contact

    Confirmed customers where public sources do not name a contact. We enrich the buying committee from our contact data and label it so your team knows the difference.

    Delivered in 72 hours.

    Hour 0

    Brief agreed: competitors, ICP, regions and account count.

    Hours 1 to 36

    Detection, competitive verification and acquisition checks.

    Hours 36 to 60

    Enrichment, buying committee mapping and scoring.

    Hour 72

    Quality check against sources, then delivery of workbook and CRM file.

    What we can and cannot filter on.

    We would rather tell you now than disappoint you later. Here is the honest scope of an Atlas™ dataset.

    We filter by

    • Company size by employee count or revenue band
    • Industry and vertical
    • Company headquarters and geography
    • Ecommerce platform, including Shopify, WooCommerce, BigCommerce and Magento
    • Renewal timing and intent signal strength

    We do not promise

    • Product-type segmentation inside an account, such as food versus supplements
    • Order volume or transaction thresholds
    • Operational or fulfilment characteristics
    • Exact-day renewal dates or invented intent scores

    When teams order an Atlas™ dataset.

    Launching a competitive campaign

    You have a new migration offer or a pricing advantage over one incumbent. Atlas™ gives you every account running that product, ranked by how soon they can act on it.

    Entering a new segment or region

    Before hiring a team, see how many accounts in the new market run a competitor, how big they are and when they renew.

    Rebuilding a stalled pipeline

    Replace a tired list with accounts that have a timing reason to talk, and give reps an opening line for each one.

    Pre-deal diligence

    Investors use Atlas™ to check a target’s competitive exposure and the realistic size of its displacement opportunity.

    Preview the deliverables.

    Three of the seventeen tabs, shown with sample content.

    Competitive battlecard

    Versus: Competitor CRM

    Where we win

    • Faster setup for teams under 200 seats
    • Native data warehouse sync

    Where they win

    • Larger partner ecosystem

    Likely objection

    “Migration will disrupt the quarter.” Answer with the 30-day cutover plan and named reference.

    Sample content.

    Buying committee
    VP Revenue OperationsEconomic buyer
    Director, CRM SystemsTechnical evaluatorSales Enablement LeadDay-to-day user
    Procurement ManagerCommercial review

    Sample account.

    Action plan 30-60-90

    Days 1 to 30

    Work the 40 Tier 1 accounts renewing within six months. Personal outreach to economic buyers.

    Days 31 to 60

    Sequence Tier 2 accounts. Run a migration webinar for technical evaluators.

    Days 61 to 90

    Review conversion by segment. Re-score and re-prioritise the remaining list.

    Sample plan.

    Checked before it ships.

    Every workbook passes the same quality checkpoints before delivery. If a check fails, the dataset waits.

    1. Competitive relationship verified. Each incumbent is confirmed as a direct competitor, an adjacent product or an overlay.
    2. Corporate changes reconciled. Acquisitions, mergers and rebrands are checked so the vendor named is the one the account actually renews with.
    3. Every field traced. Intelligence fields are matched to a cited source. Anything without one is removed, not estimated.
    4. Contacts complete. Named contacts carry the fields promised in the order, including phone numbers where sourced.
    5. Summary figures reconciled. Cover and dashboard totals are recalculated against the underlying rows.
    6. Pricing and terms confirmed. Figures in the ROI model and deal scenarios are checked against the agreed inputs.

    Model the pipeline from a dataset.

    Enter your own conversion rates and deal size to see what an Atlas™ order could produce. The defaults are placeholders, not benchmarks: replace them with your team’s numbers.

    Dataset cost
    Expected deals
    First-year revenue
    Cost per meeting
    Return on dataset cost

    An estimate from your assumptions, not a forecast or guarantee.

    How ordering works.

    1. Brief

      Name the competitors, ICP, regions and account count. We confirm scope and what can and cannot be filtered.

    2. Sample

      See ten scored, sourced records on your competitor before you commit.

    3. Delivery

      Full workbook and CRM-ready file within 72 hours of the brief being agreed.

    4. Replacement window

      Report bounced contacts within 30 days and they are replaced free.

    Atlas™ questions

    Can I target more than one competitor in a single order?

    Yes. Each account notes which incumbent it runs, and the battlecards tab covers each competitor separately.

    What happens when no renewal date is available?

    The account is scored on ICP fit alone and labelled that way. We never present a modelled date as a known one.

    Can I reuse the data across campaigns?

    Yes. Every dataset comes with unlimited use.

    Can I filter by order volume or product type inside an account?

    No. We filter by company size, industry, geography, ecommerce platform and renewal or intent timing. Operational characteristics are outside scope, and we say so before you buy.

    Get a free sample on one competitor.

    Name the product you replace most often. We will send ten scored accounts with sources.

    Know what every account runs, and how deeply.

    Technology intelligence across 12,000+ products, refreshed weekly, with a confidence score on every install. See the stack, the spend and the incumbent before your first call.

    Read an account’s stack at a glance.

    Deployment intensity separates a free trial in one department from a system the whole company depends on. That difference decides whether an account is a displacement target or a long shot.

    • Install detection with a confidence score per product
    • Deployment intensity from light use to core system
    • Weekly refresh, so new installs and removals show up fast
    Deployment intensity by categorySample accounts
    Not detectedLightModerateCore system

    Direct competitor or overlay? We check before we score.

    A company running an adjacent tool is not a displacement target. Treating it like one wastes a rep’s week and burns the account. Every competitive relationship is classified before it reaches your list.

    Direct

    The account runs a product that does the same job as yours. These are true displacement targets and are scored on renewal timing.

    Adjacent

    The product overlaps with part of your offer. Useful for expansion and cross-sell plays, scored on fit rather than displacement.

    Overlay

    The product sits alongside yours rather than replacing it. Flagged as a partner or integration angle, never as a rip-and-replace.

    We also track acquisitions and rebrands, so when one vendor is bought by another your list reflects the vendor your prospect actually renews with.

    Why install counts disagree, sometimes by 10x.

    Ask five data providers how many companies use the same product and you will get five different answers. None of them is lying. Each one sees the market through a different lens.

    Website detection

    Crawlers read the code on public websites and spot scripts, tags and widgets. Precise for front-end tools like chat, analytics and marketing automation. Blind to back-office systems such as ERP, data warehouses or identity platforms that never appear on a web page.

    Job postings

    When a company advertises for “Snowflake engineer” or “Okta administrator”, it reveals its stack. Strong for back-office and technical tools, and often the earliest signal of adoption. Weak for small companies that rarely hire.

    Public documents

    Case studies, press releases, filings, résumés and partner directories. Broad coverage, but some mentions are historical, so a company that used a product years ago can still be counted.

    Commercial databases

    Providers combine several of the methods above with their own verification rules. Stricter rules give smaller, cleaner counts. Looser rules give bigger, noisier ones.

    IT spend forecasts

    Account-level spend estimates across 140+ categories, aligned to the next 12-month budget cycle.

    Install-base analysis

    Count and segment every known customer of a competitor by size, region and industry.

    Change alerts

    Get notified when a target account adds, drops or trials a product in your category.

    Coverage across 47 ranked categories.

    The Atlas™ Technographic Index covers the categories revenue teams compete in most, from CRM and marketing automation to payments and data warehousing.

    Choose any category in the tech lookup to see every technology in it, ranked by install base.

    Open the index
    Largest categories by companies trackedTop 15 of 47

    Signals on every account.

    Installed products

    Every detected technology, grouped by category.

    Deployment intensity

    From single-team trial to company-wide core system.

    Detection confidence

    How strong the evidence is for each install.

    Competitive relationship

    Direct, adjacent or overlay, relative to your product.

    Category spend

    Forecast IT spend for the next 12-month cycle.

    Change alerts

    Adds, removals and trials in your category.

    Plays powered by technographics.

    Competitive displacement

    Target accounts running a direct competitor, prioritised by renewal window. The core Atlas™ use case.

    Integration-led selling

    Find accounts running the tools you integrate with best, and open with how much easier their stack gets.

    Whitespace in your base

    See which of your customers run a competitor for a product you also sell, and turn that into expansion pipeline.

    Churn early warning

    Get alerted when a customer starts trialling a competitor, while there is still time to respond.

    Technology intelligence questions

    How do you detect back-office systems that never appear on a website?

    Website detection only sees front-end tools. For systems like ERP, data warehouses and identity platforms, signals come from sources such as job postings and public documents, combined and checked before scoring.

    What is deployment intensity?

    A rating of how deeply a product is used inside an account. It separates a single team’s trial from a company-wide core system, which matters far more for displacement.

    Why do your counts differ from other providers?

    Every provider sees the market through different detection methods and verification rules. We show our method and sources so you can judge each figure.

    See any competitor’s install base.

    Know who will be in the room before you book the booth.

    Event insights index 340+ industry conferences and trade shows, showing which companies attend, which sponsor and which send senior decision makers. Plan every event around the accounts you want to meet.

    From attendee list to target meetingsIllustrative event

    Turn a crowded show floor into a short list.

    A conference with two thousand companies is mostly noise. Cross it against your ICP and your competitors’ install base, and the accounts worth a meeting shrink to a list your team can actually book.

    A play for before, during and after.

    1. Before

      Pick events by how many target accounts attend, not by brand. Book meetings with named buyers two to four weeks out.

    2. During

      Give the booth team a ranked list with each account’s incumbent, renewal window and talking points.

    3. After

      Follow up within 48 hours using the context from the conversation and the account’s scored profile.

    Attendance

    Which companies are registered or have attended previous editions.

    Sponsorship

    Who is spending on the event, a signal of budget and category focus.

    Seniority

    Which accounts send directors and executives, not only individual contributors.

    Event insights are included in Business and Enterprise plans.

    Score every event before you commit budget.

    An event scorecard ranks conferences by how many of your target accounts will actually be there, not by brand or headcount.

    EventTarget accounts attendingSenior attendeesCompetitors sponsoringEvent score
    Revenue Operations Summit14261288
    Fintech Leaders Forum9648181
    Customer Experience Expo11822464
    Regional SaaS Meetup319042

    Illustrative scorecard. Event names and figures are fictional.

    Measure events like a revenue channel.

    Target-account coverage

    The share of your priority accounts you met in person. The clearest sign the event was the right one.

    Cost per target meeting

    Total event cost divided by meetings with ICP accounts. Compare it directly with outbound and paid channels.

    Pipeline within 90 days

    Opportunities created from accounts met at the event, tracked through your CRM sync.

    Event insights questions

    Which events are covered?

    More than 340 industry conferences and trade shows across software, finance, healthcare, retail and other sectors. Ask us about any event not yet indexed.

    Can I see attendance before an event happens?

    You can see past attendance and current sponsorship, which are strong predictors of who will attend the next edition.

    Which plans include event insights?

    Business and Enterprise plans.

    Plan your next event around the right accounts.

    Intelligence shaped around the job your team does.

    The same signals answer different questions for a seller, a marketer, an operations lead or an investor. Choose your team to see how they use them.

    Sell into accounts that are ready to switch.

    Stop splitting your week evenly across a territory. Work the accounts where a competitor contract is ending and the buyer fits your best customers.

    • Territories ranked by displacement readiness
    • Competitive battlecards written for each incumbent
    • Named buying committee for every account
    • Trigger events that give you a reason to call
    • A 30-60-90 day action plan per segment

    Build audiences from what accounts run and research.

    Combine installed technology with live intent to target accounts that are both a fit and in market, then spend event budget where your buyers will be.

    • ABM audiences filtered by competitor install
    • Intent-led prioritisation for paid and outbound
    • Event selection based on target-account attendance
    • Competitive messaging by incumbent

    Keep the CRM accurate without another data project.

    Weekly refreshes, transparent scoring and direct CRM sync mean territories, routing and forecasts run on data you can trust.

    • Technographic and firmographic enrichment
    • Scoring logic visible and adjustable
    • Sync with Salesforce, HubSpot and Dynamics
    • Snowflake data share on Enterprise
    • Source citations on every intelligence field

    Size markets and track competitors from real accounts.

    Replace top-down estimates with a bottom-up view of who buys what, where, and how fast the market is moving.

    • Bottom-up TAM, SAM and SOM by segment
    • Competitor install-base share and change over time
    • IT spend forecasts by category
    • New market and vertical entry analysis

    Diligence, monitoring and exit preparation.

    See a target’s real customer base and competitive position before the deal, track portfolio companies after it, and show buyers a growth story backed by account-level data.

    • Pre-deal: verify customer base and competitive exposure
    • Portfolio monitoring: watch install-base wins and losses
    • Value creation: hand portfolio sales teams scored target lists
    • Exit preparation: evidence the addressable market account by account

    Plays, signals and success metrics by team.

    What each team runs, the data that drives it, and how to know it is working. For worked examples, see the eight real-world scenarios.

    TeamCore playSignals usedMeasure it by
    SalesRenewal-window displacementCompetitor install, renewal month, buying committeeMeetings per 100 accounts worked, win rate against the incumbent
    MarketingTiered ABM by incumbentCompetitor install, category intent, ICP fitTarget-account engagement, pipeline sourced
    Revenue operationsReadiness-based routing and territory designICP fit, IT spend, readiness scoreTerritory balance, CRM data completeness
    StrategyBottom-up market sizingFirmographics, install base by competitorForecast accuracy, segment coverage
    PE and VCInstall-base diligence and portfolio monitoringCustomer base, competitor exposure, install changeDiligence cycle time, portfolio pipeline added

    Industries we cover.

    Atlas™ datasets are built for software and technology vendors selling across a wide range of markets.

    SaaS and enterprise software

    Displace incumbents in CRM, marketing, analytics and collaboration.

    Cybersecurity and identity

    Find accounts on legacy or end-of-life security stacks.

    Healthcare technology

    Map clinical and administrative systems across providers.

    Fintech and treasury

    Target payment, treasury and finance platform users.

    HR and payroll

    Reach companies outgrowing their HRIS or payroll provider.

    Legal technology

    Identify firms and legal teams on ageing matter systems.

    Ecommerce and retail

    Filter by Shopify, WooCommerce, BigCommerce and Magento.

    Hospitality and events

    Reach operators by booking, guest and event platform.

    Logistics and manufacturing

    Target ERP, supply chain and warehouse system users.

    Solutions questions

    We sell to several personas. Can one dataset serve all of them?

    Yes. The buying committee tab maps economic buyers, technical evaluators and users separately, so each team can work the same accounts with different messages.

    Do you support partner and channel teams?

    Yes. Overlay and adjacent-product flags show where an integration or partner angle is stronger than a replacement pitch.

    Can investors use the data without a sales team?

    Yes. PE and VC teams typically use Atlas™ for diligence and monitoring, then pass scored lists to portfolio companies.

    Tell us your team and your market.

    The GTM intelligence glossary.

    Plain definitions for the terms that come up when you plan territories, score accounts and run competitive campaigns.

    Technographics

    Data about the technologies a company uses, such as its CRM, help desk or data warehouse, and how deeply each is deployed.

    Firmographics

    Descriptive company attributes: industry, employee count, revenue band, headquarters and ownership.

    Intent data

    Signals that a company is researching a topic or category, typically gathered from content consumption across many websites.

    Ideal customer profile (ICP)

    The description of the company that gets the most value from your product and is most likely to buy, renew and expand.

    ICP fit

    A score showing how closely an account matches your ICP across size, industry, region and existing stack.

    Renewal proximity

    How soon an account’s current contract comes up for decision. Accounts closer to renewal score higher.

    Displacement readiness

    The Atlas™ score combining renewal proximity and ICP fit at 50% each. Where no expiry data exists, ICP fit alone, labelled as such.

    Direct competitor

    A product that does the same job as yours. Accounts running it are true displacement targets.

    Overlay or adjacent tool

    A product that sits alongside yours or overlaps only partly. Better treated as a partner or expansion angle than a replacement.

    Install base

    The set of companies currently using a product. Estimates vary by provider and detection method.

    Deployment intensity

    How deeply a product is used inside an account, from a single team trial to a company-wide core system.

    Buying committee

    The group that decides a purchase: the economic buyer, technical evaluators, day-to-day users and any procurement or legal reviewers.

    Trigger event

    A change that opens a window for a conversation, such as a new executive, funding round, acquisition or product removal.

    TAM, SAM and SOM

    Total addressable market, the serviceable share you can reach, and the obtainable share you can realistically win.

    Deliverability

    The share of contact emails that reach an inbox without bouncing. Atlas™ guarantees 95%, with free replacement for 30 days.

    Battlecard

    A one-page guide for beating a named competitor: where you win, where you lose, objections and proof points.

    Put the definitions to work on your market.

    Business impact

    The right data makes money and gives people their week back.

    What bad and missing data costs a revenue organisation, where the money leaks, what a missed renewal window is worth, and how to prove the fix in 90 days. Research figures link to their original sources.

    What the research says.

    Four widely cited findings, with the context you need before quoting them.

    40%

    of a sales rep’s week is spent actually selling. The rest goes to admin, data entry, preparation and internal work.

    Salesforce, State of Sales, 7th edition (2026). Survey of 4,050 sales professionals in 22 countries.Source
    17%

    of B2B buyers’ purchase time is spent meeting potential suppliers. With three vendors in the running, each gets about 5%.

    Gartner survey of 750 B2B buyers involved in complex purchases.Source
    22.5%

    of B2B contact data goes out of date each year, at roughly 2.1% a month, as people change roles and companies.

    HubSpot Database Decay Simulation, based on MarketingSherpa research. Estimates vary by industry and seniority.Source
    $12.9M

    average annual cost of poor data quality per organisation, from wasted resources, missed opportunities and bad decisions.

    Gartner, based on a 2020 survey of data quality vendors’ reference customers. Treat it as directional, not a benchmark.Source

    Where the money leaks.

    Four leaks show up in almost every revenue team. Each one has a data fix.

    01

    Time spent finding, not selling

    Reps rebuild account research by hand: who runs what, who decides, whether now is a good time. Every hour of research is an hour not spent with buyers who give suppliers only a small slice of their time.

    The fix: deliver the research with the account. Incumbent, renewal window, buying committee and an opening line arrive on the same row.

    02

    Right account, wrong month

    A good-fit account contacted the month after it renewed is a year away from buying. Teams without timing data spread effort evenly and miss the windows that matter.

    The fix: rank by renewal proximity alongside fit, and start outreach around 90 days before the decision.

    03

    Contacts that quietly expire

    Roughly a fifth of a contact database goes stale each year. Bounced emails hurt sender reputation, and calls to people who left waste the first minutes of every dial session.

    The fix: verified contacts with a deliverability guarantee, and replacement when they fail.

    04

    Campaigns aimed at the wrong incumbent

    Pitching replacement to users of a complementary tool, or to a vendor that was acquired last year, burns accounts and credibility.

    The fix: verify every competitive relationship and corporate change before the list reaches a rep.

    Calculate what research and decay cost your team.

    Enter your own figures. The decay rate defaults to the 22.5% research benchmark above; everything else is yours to set.

    Research hours a year
    Cost of research time
    Value of hours recovered
    Contacts going stale each year
    Selling days recovered per rep

    Assumes 46 working weeks and 8-hour days. An estimate from your inputs, not a forecast.

    The price of contacting the right account in the wrong month.

    Most software is bought on annual terms. Miss an account’s decision window and you don’t lose a week, you lose a year. This calculator shows how much revenue slips when timing is a guess.

    Windows missed a year
    Extra deals a year
    Revenue currently slipping

    An estimate from your inputs. Revenue is first-year contract value; multi-year value is higher.

    Is your data costing you money? Eight questions.

    Answer honestly. Every “no” is a leak with a known fix.

    1. Do reps know each target account’s current vendor before the first call?
    2. Do you know the renewal month for your top 100 competitor accounts?
    3. Has your CRM contact data been verified in the last six months?
    4. Can a rep explain in one sentence why an account is at the top of their list?
    5. Do you separate direct competitors from complementary tools when targeting?
    6. Are territories balanced on readiness or spend, not only on account count?
    7. Do marketing and sales work from the same target-account list?
    8. Do you track win rate against each named incumbent?
    0/8Answer all eight to see your result

    The questions your CFO will ask, answered straight.

    “Why pay for data when reps can research accounts for free?”

    Because it isn’t free. At a $120,000 fully loaded cost, an hour of rep time costs about $65. A Pro-tier Atlas™ account at $2.20, with every contact at that account included, costs the same as roughly two minutes of that hour. If your reps take longer than two minutes to find an account’s incumbent, renewal timing and decision makers, and most take far longer, buying the research is cheaper than doing it.

    “How will we know it actually worked?”

    Run a controlled test. Pick one incumbent and one segment, split comparable accounts into a worked group and a holdout group, and compare meetings per 100 accounts and win rate after 90 days. If the worked group doesn’t outperform, you have your answer, and so do we.

    “What if the data is wrong?”

    Every intelligence field carries a source you can check, contact deliverability is guaranteed at 95%, and bad contacts are replaced free for 30 days. Before rollout, audit a random sample of 20 records yourself.

    “Isn’t this one more tool reps won’t use?”

    An Atlas™ dataset isn’t a tool. It lands in the CRM reps already use, as accounts, contacts and notes. Measure adoption by the share of new opportunities that come from the list.

    “What is the payback period?”

    It depends on your conversion rates and deal size, which is why we don’t quote one. Use the calculators on this page with your own numbers. Every Atlas™ workbook also includes a three-year cohort cash-flow model that shows the payback quarter.

    Where data won’t save you.

    Better data multiplies a good go-to-market motion. It does not rescue a broken one. Be honest about these before you buy anything, from anyone.

    Your product loses on fit

    If you lose most head-to-head evaluations against an incumbent, a better list only gets you to the loss faster. Fix the offer or pick a different incumbent first.

    Nobody has time to follow up

    A thousand perfectly timed accounts and two overloaded reps is shelfware. Size the order to the capacity you actually have.

    The message is generic

    Timing earns you the meeting. A specific reason to switch wins the deal. Data gives you the opening line, not the argument.

    No one owns the CRM

    Clean data starts decaying the day it arrives. Without an owner and a refresh routine, you will be back where you started within a year.

    A 90-day plan to prove it.

    Small enough to run this quarter, rigorous enough to take to a board.

    Weeks 1 to 2

    Set up the test

    • Choose one incumbent and one segment
    • Agree the success metric with sales and finance
    • Define a holdout group of comparable accounts
    Owner: RevOps and sales leadership
    Weeks 3 to 4

    Load and audit

    • Order the dataset and audit 20 random accounts
    • Load into the CRM with source fields intact
    • Brief reps on the battlecard and plays
    Owner: RevOps
    Weeks 5 to 8

    Work the window

    • Tier 1 accounts first, 90 days before renewal
    • Weekly review of meetings and objections
    • Replace bounced contacts within the 30-day window
    Owner: sales managers
    Weeks 9 to 12

    Measure and decide

    • Compare worked group against holdout
    • Re-score the remaining accounts
    • Scale, adjust or stop, based on the numbers
    Owner: CRO and finance

    Eight scenarios, with the math shown.

    Payments, help desk, data infrastructure, private equity, CRM hygiene, territory design, field events and CRM displacement. Each one starts from a real market figure and shows every step of the arithmetic.

    Read the scenarios

    What changes for the people doing the work.

    Better data is measured in revenue, but it is felt in the working week.

    SDR

    Before

    Builds lists at night, guesses who to call, burns the first hour of every session on bounces and wrong numbers.

    After

    Starts the day with a ranked list, a named contact and a reason to call each account.

    Account executive

    Before

    Learns about the incumbent and the renewal date on the second call, often too late.

    After

    Walks in knowing the incumbent, the renewal month, the committee and the likely objection.

    RevOps lead

    Before

    Defends territory splits nobody trusts and cleans the CRM by hand every quarter.

    After

    Designs territories on readiness and wallet, with a scoring model anyone can read.

    Marketing leader

    Before

    Reports clicks and MQLs that sales ignores.

    After

    Runs ABM on the same accounts sales is working, measured by pipeline both teams agree on.

    Put a number on it for your team.

    We’ll run your competitors and ICP through Atlas™ and show you the accounts, the timing and the likely return.

    Business impact Real-world scenarios

    How the right data turns into revenue, one team at a time.

    Eight situations enterprise revenue teams face every quarter. Each shows the market, the arithmetic, what the team changed and how to prove it worked.

    Eight scenarios, with the math shown.

    Every scenario starts from a real market figure in the Atlas™ Technographic Index, then applies stated assumptions so you can see exactly how the opportunity is sized. Change the assumptions to your own and the logic still holds. Companies are composites, not named clients.

    PaymentsSales

    A payments challenger stops cold-calling the whole market

    The market: in Payment Management, companies run Stripe and run PayPal. The top five hold of the category.

    How the data changes it

    Situation. A mid-market payments vendor had 30 reps working an undifferentiated list of merchants. Connect rates were fine; meeting rates were not.

    Data used. Merchants running the two leaders, filtered to their ICP by size and ecommerce platform, ranked by renewal window.

    What they did. Built one battlecard per incumbent, focused on fees and payout speed, and opened 90 days before each renewal month.

    Measure it by. Meetings per 100 accounts worked, and win rate against each named incumbent compared with the old list.

    Customer service softwareSales

    A help desk vendor wins on timing in a fragmented market

    The market: in Helpdesk Tools the leader, , holds just , and the top five hold . No incumbent dominates.

    How the data changes it

    Situation. With dozens of competitors, writing a battlecard for each was impossible and reps defaulted to generic pitches.

    Data used. Renewal timing and ICP fit across every incumbent, rather than competitor-by-competitor lists.

    What they did. Led with migration ease and a fixed-price cutover, and sequenced accounts by renewal month regardless of vendor.

    Measure it by. Average sales cycle length and share of deals won against long-tail incumbents.

    Data infrastructureMarketing

    An analytics vendor sells with the warehouse, not against it

    The market: in Data Warehousing, Snowflake leads with of the category and companies detected.

    How the data changes it

    Situation. A BI vendor’s ads talked to everyone and converted almost no one.

    Data used. Accounts running the warehouses they integrate with natively, excluding accounts on a direct BI competitor’s core system.

    What they did. Ran ABM tiers by warehouse, with creative showing a working dashboard on that exact stack in minutes.

    Measure it by. Target-account engagement and pipeline sourced per tier, compared with the previous broad campaign.

    Private equityStrategy

    An investor tests a growth story before signing

    The market: Account Based Marketing is highly concentrated. holds , and the top five hold .

    How the data changes it

    Situation. A target company’s plan assumed steady wins against the category leaders.

    Data used. The category’s install base by vendor, plus the target’s own confirmed customers and their competitor exposure.

    What they did. Re-modelled the plan around realistic share gains in a concentrated market, and identified the mid-tier vendors whose customers were the likelier source of growth.

    Measure it by. Diligence cycle time, and how closely post-deal pipeline tracked the re-based plan.

    Any industryRevOps

    A RevOps team stops the CRM from going stale

    The context: at the research benchmark of 22.5% a year, a 50,000-contact CRM loses about 11,250 accurate records annually if nobody maintains it.

    How the data changes it

    Situation. Bounce rates climbed, reps lost trust in the CRM and started keeping private spreadsheets.

    Data used. Verified enrichment for priority accounts, refreshed rather than bought once.

    What they did. Enriched only Tier 1 and Tier 2 accounts first, routed by readiness score, and retired records older than a set age.

    Measure it by. Email bounce rate, CRM field completeness and the share of reps working from the CRM instead of side lists.

    CybersecurityRevOps

    A security vendor redraws territories that were never fair

    The context: two territories with the same number of accounts can hold very different numbers of accounts that are ready to buy this year.

    How the data changes it

    Situation. Territories were split by account count. Some reps beat quota on luck; others had books full of recently renewed accounts.

    Data used. Bottom-up market counts, IT spend and renewal timing per account.

    What they did. Balanced territories by readiness and wallet, not headcount, and agreed the method with reps before the year started.

    Measure it by. Spread of quota attainment across reps and voluntary rep turnover.

    SaaSMarketing

    A field team turns a 2,000-company show into 40 meetings

    The context: buyers give suppliers a small share of their purchase time, so a short, prepared meeting is worth more than a crowded booth.

    How the data changes it

    Situation. The team picked events by brand and measured them by badge scans.

    Data used. Event attendance and sponsorship crossed with ICP fit and competitor installs.

    What they did. Chose events by target-account attendance, pre-booked meetings and briefed the booth on each account’s incumbent.

    Measure it by. Cost per target meeting and pipeline created within 90 days.

    CRM softwareSales

    A CRM challenger avoids the giant and targets the long tail

    The market: Salesforce leads CRM Platforms with companies, but of the listed CRMs are detected at fewer than 1,000 companies each.

    How the data changes it

    Situation. Every rep wanted to take on the market leader. Few deals closed, and those that did took over a year.

    Data used. Accounts on smaller CRMs that fit the ICP, with renewal timing and buying committee.

    What they did. Targeted customers of mid-tier and long-tail CRMs first, where switching costs and vendor leverage are lower.

    Measure it by. Sales cycle length and win rate by incumbent tier.

    Read the math honestly.

    Market sizes come from the index. Percentages are assumptions, shown so you can replace them.

    • Fit, timing and meeting rates differ widely by market and offer. Use your own CRM history wherever you have it.
    • Counts are detections, not confirmed contracts, and are per category.
    • The point of each chain is to show how fast an addressable market shrinks to a workable list, and why timing matters more than volume.

    Run this math on your own market.

    Send us one competitor and one ICP. We’ll come back with the real numbers.

    Resource library Research report, November 2026

    The State of the GTM Stack.

    How concentrated is each go-to-market software category, who leads it, and what that means for anyone trying to win customers from an incumbent. Built from 5,206 category listings in the Atlas™ Technographic Index.

    Key findings.

    Calculated directly from the index. Every figure updates when the index is refreshed.

    Rankings exclude five categories that measure brand presence rather than product use (Cloud Integration, Network Security, Cloud Security, Contact Center and Recruitment) and categories with fewer than ten listed technologies. Both still appear in the charts and scorecard below.

    Explore the underlying data

      Market concentration by category.

      The light bar shows the combined share of the top five technologies. The dark bar shows the leader alone. Long light bars mean a few vendors own the category; short ones mean a crowded field.

      Leader shareTop 5 combined share

      The long tail is where most vendors live.

      In most categories, the majority of listed technologies are detected at fewer than 1,000 companies. They compete for the same buyers as the leaders with a fraction of the install base.

      For a challenger, the long tail is often the easier first target. Smaller incumbents tend to have thinner switching costs and less negotiating leverage at renewal.

      Share of listed technologies under 1,000 accounts

      Three market shapes, three displacement strategies.

      Categories are grouped by how much of the market the top five technologies hold.

      Top 5 hold 80% or more

      Concentrated

      Most of your targets run one of a handful of products. Build one sharp battlecard per incumbent and compete on switching cost and timing.

      Top 5 hold 60% to 79%

      Moderate

      A few leaders plus a meaningful mid-tier. Split the market: head-to-head plays for the leaders, renewal-led plays for the mid-tier.

      Top 5 hold under 60%

      Fragmented

      No incumbent dominates. Win on renewal timing and ease of migration, and prioritise by account fit rather than by competitor.

      Category scorecard.

      CategoryCompanies trackedTechnologies listedLeaderLeader shareTop 5 shareOver 10K accountsShape

      Select a category name to open it in the tech lookup.

      Methodology.

      Figures come from the Atlas™ Technographic Index: company counts and category shares published on 6sense Technographics category pages. Fourteen categories were captured in October 2026 and 33 more, covering recruiting and HR, customer support and cybersecurity, in November 2026. Share is each technology’s detected share of the category as published by the source.

      Counts are per category and are not de-duplicated across categories. CRM Platforms and Marketing Automation Platforms are capped by the source page, so their long-tail figures are understated. Several categories count brand presence rather than product use: Cloud Integration is led by Google Hosted Web Font Loader, Network Security and Cloud Security by Cloudflare, Contact Center by Wix and Recruitment by LinkedIn. Their concentration figures describe web presence, not buying decisions. Concentration bands are defined by top-five share: 80% or more, 60% to 79%, and under 60%.

      Cite as: AI Discovery Labs, The State of the GTM Stack, November 2026.

      See what these markets look like for your competitors.

      We’ll map the accounts running the incumbents you replace, scored by renewal timing.

      Resource library

      Guides for competitive go-to-market teams.

      Practical, vendor-neutral guides on displacement selling, market sizing and working with technographic data.

      Want these ideas applied to your market?

      Resource library

      The competitive displacement playbook.

      How to find, prioritise and win accounts that already pay a competitor. An 8-minute read.

      Why displacement works

      An account that already pays a competitor has done the hardest part of the sale for you. It has a budget line for the category, a team that uses the product every day and an opinion about what is wrong with it. You are not creating demand. You are redirecting demand that already exists.

      The catch is timing. Most companies only consider switching in the months before a renewal, when the cost of staying is about to be locked in again. Reach them after the renewal is signed and even a better product waits a year. Reach them six months before, and you are part of the decision.

      Step 1: Pick the right incumbent

      Not every competitor is worth targeting. Choose an incumbent where you have a clear, provable advantage for a defined type of customer. Three questions help:

      • Where do we win most often when we meet this competitor in a deal?
      • Which customer segment feels this competitor’s weaknesses most?
      • Is the product genuinely replaceable by ours, or does it only overlap?

      The last question matters more than teams expect. A product that sits alongside yours is an integration partner, not a target. Pitching replacement to its users wastes the meeting and damages the account.

      Step 2: Build the list

      Start with every company that runs the incumbent, then filter by your ICP: size, industry, region and the rest of their stack. Separate accounts with strong evidence, such as a named case study or confirmed contact, from those detected through weaker signals. Label both tiers so reps know which is which.

      Before anything goes to a rep, check corporate changes. Acquisitions and rebrands change which vendor an account actually renews with, and a list that misses them looks careless on the first call.

      Step 3: Rank by timing

      Score each account on two inputs: how closely it fits your ICP, and how soon its contract comes up. Weighting them equally keeps the list honest. A perfect-fit account renewing in two years can wait. A good-fit account renewing next quarter cannot.

      Rule of thumb

      Begin outreach roughly 90 days before the renewal month, and plan the full sequence across the six months before it.

      Where renewal timing is unknown, score on fit alone and say so. A modelled date presented as fact is the fastest way to lose a rep’s trust in the whole list.

      Step 4: Map the buying committee

      Displacement deals involve more people than new purchases, because someone has to own the risk of switching. Map at least three roles: the economic buyer who signs, the technical evaluator who owns the migration, and the day-to-day user who feels the pain. Each needs a different message.

      Step 5: Earn the switch

      Buyers don’t switch for features. They switch when the cost of staying feels higher than the cost of moving. Make moving cheap and visible:

      • A written migration plan with a realistic cutover date.
      • A three-year cost comparison that includes switching costs, not just licence price.
      • A reference customer who made the same move.
      • A clear answer to the objection you will hear most: “Not this quarter.”

      Measuring results

      Track meetings per 100 accounts worked, win rate against the named incumbent and average days from first touch to close. Compare displacement accounts with your general pipeline. If the programme is working, they convert at a higher rate and close faster, because the timing was right from the start.

      Resource library

      Bottom-up market sizing.

      Build a TAM from real accounts that your board and your reps will both believe. A 7-minute read.

      The problem with top-down

      Top-down sizing starts with an analyst’s category total and applies percentages: our region is 30% of the market, our segment is 40% of that, we can win 5%. Every step is a guess, and the guesses compound. The final number looks precise and means very little. Worse, it gives a rep nothing to work: there is no list behind it.

      Define the unit

      Bottom-up sizing counts customers, not dollars. Start by writing down exactly what one target account looks like: industry, employee range, region, and any technology it must or must not run. If your best customers all use a particular CRM or data warehouse, that belongs in the definition.

      Count, then filter

      Apply each criterion in order and record how many accounts survive each step. The sequence itself is useful. It shows which filter shrinks the market most, and which assumption deserves the most scrutiny.

      Example funnel

      All companies in target regions, then in target industries, then in the right size band, then running a target competitor, then renewing within 12 months. Each step is a real count with a real list behind it.

      From SAM to SOM

      Your serviceable market is the set of accounts that match your definition. Your obtainable market is the share you can realistically win in a planning period. Estimate it from your own history: how many accounts can one rep work in a year, and what share of worked accounts become customers? Multiply by headcount, and sanity-check against the renewal-timing count. You cannot win accounts that aren’t open to change.

      Turn it into territories

      Because every number is a list, territories fall out naturally. Split accounts so each rep gets a similar mix of readiness, not just a similar count. A territory full of accounts that renewed last month is a territory with nothing to do this year.

      Revisit the model each quarter. Installs change, companies grow out of your size band, and new competitors appear. A bottom-up model updates in an afternoon. A top-down one waits for next year’s report.

      Resource library

      Reading technographic data without fooling yourself.

      Five mistakes teams make with install counts, and how to avoid them. A 6-minute read.

      1. Treating install counts as facts

      An install count is a detection estimate, not a census. Providers detect technology through website code, job postings, public documents and their own verification rules. Each method sees some products clearly and others barely at all. Treat a single number as a starting point, and verify at account level before you build a plan on it.

      2. Mixing sources in one comparison

      Comparing Product A’s count from one provider with Product B’s count from another is comparing different measuring sticks. Counts for the same product can differ several-fold between providers. When you compare competitors, use one source for all of them.

      3. Ignoring depth of use

      A company with one team trialling a tool and a company running it as its core system both count as one install. For displacement, they are completely different opportunities. Look for deployment intensity, or proxies like the number of related job postings, before you rank accounts.

      4. Confusing overlap with competition

      Two products in the same category are not always competitors. One may sit alongside the other, or serve a different buyer. Pitch replacement to the users of a complementary tool and you lose the meeting. Classify each relationship as direct, adjacent or overlay before you build a campaign around it.

      Watch for naming quirks

      Some sources split one vendor into several product listings, or file it under an unexpected category. Check how a product is listed before adding counts together.

      5. Forgetting that the data moves

      Install bases change every week. A figure quoted from a cached page last year can be badly out of date. Note the capture date next to every number you share, and re-check before you put one in front of a client or a board.

      Playbooks

      Campaigns you can run on Atlas™ data.

      Four step-by-step plays, each with the target, the timing, the message and the metric that tells you it is working.

      GoalWin accounts from one named incumbent
      Best forSales and ABM teams
      TimelineSix months before renewal
      1. Target. Accounts running the incumbent, with strong ICP fit and a renewal in the next two quarters.
      2. Prioritise. Sort by readiness score. Work Tier 1 accounts with named contacts first.
      3. Map. Identify the economic buyer, technical evaluator and day-to-day user in each account.
      4. Open. Around 90 days before renewal, send the economic buyer a three-year cost comparison that includes switching costs.
      5. Support. Give the technical evaluator a written migration plan and a reference call.
      6. Measure. Meetings per 100 accounts, and win rate against the incumbent.
      GoalLand faster through integrations
      Best forSales, partner and marketing teams
      TimelineAny time
      1. Target. Accounts running the tools you integrate with best, and no direct competitor of yours.
      2. Segment. Group by the integration, so every message is specific.
      3. Open. Lead with what becomes easier in the stack they already run.
      4. Partner. Where the overlay vendor has a partner programme, co-sell.
      5. Measure. Time to close compared with your general pipeline.
      GoalTurn an event into a short list of meetings
      Best forField marketing and sales
      TimelineFour weeks before to two days after
      1. Choose. Score events on target accounts attending, not total attendance.
      2. Shortlist. Cross the attendee list with ICP fit and competitor installs.
      3. Book. Request meetings with named buyers two to four weeks out.
      4. Equip. Give the booth team each account’s incumbent, renewal window and talking points.
      5. Follow up. Within 48 hours, referencing the conversation.
      6. Measure. Cost per target meeting and pipeline within 90 days.
      GoalReach customers unsettled by a vendor acquisition
      Best forSales and competitive intelligence
      TimelineThe 12 months after a deal closes
      1. Watch. Track acquisitions of competitors and adjacent vendors.
      2. Target. The acquired product’s customers, especially where the acquirer has signalled a roadmap change.
      3. Open. Address the uncertainty directly: pricing changes, support changes, forced migrations.
      4. Offer. A low-risk path such as a pilot, a price lock or a migration credit.
      5. Measure. Conversion rate against your baseline for the same segment.

      Get the target list for any of these plays.

      Data standards

      How we source, verify and check every record.

      The standards behind every Atlas™ dataset and every number on this site.

      Our data commitments.

      Traceable

      Every intelligence field can be traced to a cited source. Fields we cannot source are left empty, never estimated.

      Not invented

      No fabricated intent scores, exact-day renewal dates or modelled proxies presented as measured signals.

      Precise about precision

      Renewal timing is reported at month and year only, because that is what the evidence supports.

      Verified relationships

      Competitive relationships are checked as direct, adjacent or overlay, and corporate changes are reconciled.

      Guaranteed deliverability

      95% contact deliverability on Atlas™ datasets, with free replacement of bad records for 30 days.

      Honest scope

      We state what our data can and cannot filter on before you buy, and never promise segmentation we cannot deliver.

      Confidence tiers.

      Every account in an Atlas™ dataset carries a confidence tier, so your team knows how to work it.

      TierEvidenceHow to work it
      Tier 1Confirmed customer of the competitor, named contact, direct source citationPersonalised one-to-one outreach
      Tier 2Confirmed customer, no named contact in public sourcesCommittee mapping, then sequenced outreach

      Questions about your data.

      If you have a question about how a record was sourced, or want information about you corrected or removed, contact us.

      Data requests

      Email support@aidislabs.com with the subject “Data request”, and include the name and company the request relates to.

      Pricing that fits how you buy data.

      Subscribe to the platform, buy a scored dataset by the account, or let us run the outbound for you. Every option includes core technographic data.

      Platform plans

      Starter

      $299 /month

      For individuals and small teams starting with technographic data.

      • 500 accounts a month
      • Unlimited contacts per account
      • Core technographic data
      • 5 technology filters
      • CSV export
      • Email support
      Get started

      Pro

      $799 /month

      For sales and marketing teams running ABM and outbound.

      • 650 accounts a month
      • Unlimited contacts per account
      • Technographic and intent data
      • Unlimited technology filters
      • 1 CRM integration
      • IT spend data
      • 3 user seats
      • 14-day free trial
      Start free trial
      Most popular

      Business

      $1,999 /month

      For revenue teams that need the full platform and event insights.

      • 800 accounts a month
      • Unlimited contacts per account
      • Full platform access
      • Event insights
      • All CRM integrations
      • Data Studio access
      • 10 user seats
      • Dedicated customer success manager
      Request a demo

      Enterprise

      Custom

      For organisations that need custom volumes, SLAs and a data share.

      • Unlimited seats and exports
      • Unlimited contacts per account
      • Snowflake data share
      • Custom SLA and uptime guarantee
      • Private cloud deployment
      • Custom data fields
      • Enterprise SSO and security
      Talk to sales

      Atlas™ datasets, priced per account

      One-off competitor displacement lists, billed per account with unlimited contacts at every account. Unlimited use, 72-hour delivery and 95% deliverability with free replacement for 30 days.

      1,000 accounts

      Starter, $1.75
      Pro, $2.20
      Business, $3.89

      Higher tiers add deeper intelligence per account: buying committee mapping, battlecards and the full workbook model.

      What an account really costs

      At a $120,000 fully loaded cost, an hour of rep time costs about $65. A $2.20 Pro account costs the same as roughly two minutes of that hour, and arrives with the incumbent, renewal window, every contact we can source and citations already attached.

      Done-For-You outbound

      Prefer to pay on results? We build the target list, run the outbound campaigns and manage sequencing and follow-up on your behalf.

      • Target list built and scored for your ICP
      • Campaigns, sequences and follow-up handled by our team
      • Meetings delivered to your calendar

      Done-For-You

      From $1,500 /month

      Plus a commission on every deal closed from the pipeline we generate. Commission terms are agreed during scoping.

      Talk to us about Done-For-You

      Questions buyers ask

      Can I export data to my CRM?

      Yes. Every paid plan includes at least one CRM integration. Business and Enterprise support all 40+ integrations, including Salesforce, HubSpot and Microsoft Dynamics. Atlas™ datasets are also delivered as a CRM-ready file.

      How accurate is the data?

      Our data accuracy rate is 98.4%. Technology data is refreshed weekly and every install carries a confidence score. Contact data on Atlas™ datasets is backed by 95% deliverability with free replacement for 30 days.

      What is the difference between a plan and a dataset?

      A platform plan gives your team ongoing self-serve access to search and export. An Atlas™ dataset is a one-off, analyst-built list for a specific competitor and ICP, delivered as a scored workbook.

      How fast is an Atlas™ dataset delivered?

      Within 72 hours of the brief being agreed, including verification of every competitive relationship and a final quality check against sources.

      Is there a free trial?

      Pro includes a 14-day free trial with no credit card. Enterprise customers can run a proof-of-concept with dedicated support.

      What is Event insights?

      An index of 340+ industry conferences and trade shows showing which companies attend, sponsor and send senior teams. It is included in Business and Enterprise.

      Not sure which option fits? Answer three questions.

      1. What do you need most right now?

      2. Who will use the data?

      3. How do you prefer to pay?

      Compare platform plans.

      FeatureStarterProBusinessEnterprise
      Data
      Accounts per month500650800Unlimited
      Contacts per accountUnlimitedUnlimitedUnlimitedUnlimited
      Core technographic data
      Technology filters5UnlimitedUnlimitedUnlimited
      Intent data
      IT spend data
      Event insights
      Custom data fields
      Integrations
      CSV export
      CRM integrations1AllAll
      Data Studio access
      Snowflake data share
      Team and support
      User seats—310Unlimited
      SupportEmailEmailDedicated customer success managerCustom SLA
      Enterprise SSO and security
      Private cloud deployment

      Buying for a larger organisation?

      Enterprise agreements are built around how your team buys: annual terms, custom volumes, an agreed SLA and a deployment that fits your requirements.

      Talk to sales
      • Custom record volumes and seat counts
      • Agreed uptime guarantee and support response times
      • Private cloud deployment and enterprise SSO
      • Snowflake data share for your analytics team
      • A proof-of-concept with dedicated support before you sign

      Not sure which option fits?

      Tell us your team size and goals and we will recommend one.

      We help revenue teams spend time on the right accounts.

      AI Discovery Labs builds go-to-market intelligence for B2B software companies. We combine technographic, firmographic, intent, event and renewal data into lists that tell a seller who to call, when and why.

      Why we started

      Sales teams are buried in data and starved of direction. A contact database will give you a million names, but it will not tell you which of them is about to renew with your biggest competitor, or who in that company signs the contract.

      We built AI Discovery Labs to answer those questions with evidence. Every account we deliver comes with the reason it is on the list and the source behind that reason.

      How we work

      • Evidence over volume. A shorter list you trust beats a longer list you have to second-guess.
      • Honest scope. We say clearly what our data can and cannot do before you buy.
      • Transparent scoring. Every score shows its inputs and weights.
      • Verification first. Competitive relationships, acquisitions and company changes are checked before anything ships.

      Our data methodology

      How a record moves from raw signal to your CRM.

      1. Detect

        Technology installs, firmographics, intent and event signals are collected and refreshed weekly.

      2. Verify

        Competitive relationships are classified as direct, adjacent or overlay, and acquisitions are reconciled.

      3. Score

        Accounts are ranked on renewal proximity and ICP fit, with every input traceable to a source.

      4. Check and ship

        Deliverables are checked against source files before they leave, then delivered as workbook, file or CRM sync.

      Office

      8 The Green, Suite R
      Dover, DE 19901
      United States

      Work with us

      We are always glad to hear from data researchers, analysts and sellers who care about accuracy. Get in touch.

      What we believe.

      Timing beats volume

      Calling 100 accounts in their renewal window beats calling 1,000 at random. Our job is to tell you which 100.

      Every claim needs a source

      If we can’t show where a fact came from, it doesn’t go in the file. That rule costs us coverage and earns your team’s trust.

      Scope honesty sells

      Telling a buyer what our data can’t do before they buy saves both sides a bad quarter.

      Analysts, not just algorithms

      Models rank accounts. People check the competitive relationships, acquisitions and edge cases a model will miss.

      What we won’t do.

      Some data companies grow by promising more than the evidence supports. These are the lines we don’t cross, even when it would win a deal.

      • Invent intent scores. If a signal wasn’t measured, it isn’t in the file.
      • Quote exact renewal days. Month and year is what the evidence supports, so that is what we report.
      • Pad a list with non-competitors. Overlay and adjacent tools are labelled, not passed off as displacement targets.
      • Promise segmentation we can’t filter. Order volumes and operational traits are out of scope, and we say so up front.
      • Lock you into seats. Datasets come with unlimited use.
      • Ship before checking. Every workbook is reconciled against its sources first.

      Who we work with.

      Software and technology vendors selling into competitive categories, and the investors who back them.

      Our customers range from growth-stage companies entering their first competitive segment to established vendors running displacement programmes across several regions.

      Revenue leaders

      CROs and sales leaders who need pipeline with a timing reason behind it.

      Marketing teams

      ABM and demand teams building audiences around competitors.

      RevOps and analytics

      Teams responsible for territories, scoring and CRM data quality.

      Investors

      PE and VC firms running diligence and portfolio value creation.

      Careers

      We are always glad to hear from researchers, analysts, engineers and sellers who care about getting the details right.

      Introduce yourself

      Partnerships

      Agencies, consultancies and data partners can resell Atlas™ datasets or build them into client programmes.

      Discuss a partnership

      See your market through Atlas™.

      In 30 minutes we will run a live search on the competitors you replace and the accounts you sell to, and show you a scored sample.

      What you will see

      • How many accounts in your ICP run each competitor
      • Which of them renew in the next 6 to 12 months
      • A sample workbook with buying committee and battlecard
      • A clear recommendation: platform, dataset or Done-For-You