> ## Documentation Index
> Fetch the complete documentation index at: https://technologychecker.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# TechnologyChecker use cases

> How sales teams, GTM teams, market analysts, developers, investors, customer success, and ad operations teams use TechnologyChecker for lead generation, competitive displacement, custom audience targeting, ICP analysis, market research, and churn prevention.

TechnologyChecker tracks **40,000+ technologies** across **50M+ domains** with **20+ years** of historical data, real-time subscriber and churn signals, and verified contacts. Here's how different teams put that data to work.

## Sales and lead generation

Find <Tooltip tip="Prospects showing active buying behavior — like subscribing to new tools, churning from competitors, or expanding their tech stack.">high-intent prospects</Tooltip> based on the technology they already use. Enrich your pipeline with <Tooltip tip="Company data including industry, employee count, location, founded year, and company type — sourced from LinkedIn company profiles.">firmographic</Tooltip> data and verified decision-maker contacts.

<Steps>
  <Step title="Identify your target audience">
    Use the [technology search](/features/technologies) to find companies running a competitor's product, or a complementary tool that signals buying intent.

    *Example: Find all companies using Mailchimp to pitch your email marketing alternative.*
  </Step>

  <Step title="Build a filtered lead list">
    Combine technology filters with company data (industry, employee count, geography, and keywords) to create a precise prospect list with verified contacts.

    *Example: "Uses Shopify AND NOT [Klaviyo](https://technologychecker.io/technology/klaviyo), 51-200 employees, United States" returns e-commerce companies missing a marketing automation tool.*
  </Step>

  <Step title="Export and enrich">
    Download your list as CSV or JSON with up to 14 data columns including company name, LinkedIn URL, industry, employee count, and verified decision-maker contacts. Import directly into your CRM or upload as a custom audience to LinkedIn or Facebook.
  </Step>
</Steps>

<AccordionGroup>
  <Accordion title="Competitive displacement with churn signals" icon="crosshairs">
    Search for companies using a competitor's technology, then monitor for real-time churn signals. When companies drop a competitor, you get notified with verified contacts for the decision-makers. That gives you a 30-60 day window to reach out while they're still evaluating options.

    *Example: Set up a churn alert for "companies dropping Intercom." When 47 companies churn this week, you have verified contacts for the VP of Customer Experience at each one.*

    **API endpoints:**

    * `GET /v1/technology/name/{name}/domains` — Find domains using a specific technology
    * `GET /v1/domain/{domain}` — Get full tech stack for qualification
    * `POST /v1/companies/batch` — Bulk-enrich a list of prospect domains
  </Accordion>

  <Accordion title="Technology-based account scoring" icon="star">
    Use technology stack data and ICP patterns from historical data as scoring signals in your <Tooltip tip="Customer Relationship Management — software like Salesforce, HubSpot, or Pipedrive used to manage sales pipelines and customer data.">CRM</Tooltip>. Companies using complementary tools in your ecosystem are more likely to convert.

    **Example scoring model:**

    | Signal                                   | Score |
    | ---------------------------------------- | ----- |
    | Uses complementary technology            | +20   |
    | Recently subscribed to related tool      | +15   |
    | Recently churned from competitor         | +25   |
    | Uses competitor product                  | +10   |
    | Enterprise tech stack (50+ technologies) | +10   |
    | Matches ICP technology pattern           | +30   |
  </Accordion>

  <Accordion title="CRM enrichment" icon="database">
    Automatically append technology data and contact information to CRM records using the batch API. Enrich existing accounts with tech stack, company metadata, LinkedIn firmographics, and verified contacts in a single call.

    **API endpoints:**

    * `POST /v1/companies/batch` — Enrich up to hundreds of domains per request
    * `GET /v1/company/{domain}` — Single company lookup with full firmographic data
  </Accordion>
</AccordionGroup>

<Tip>
  Use the **AND NOT** logic in [lead lists](/features/lead-lists) to exclude companies already using your product. This prevents wasting outreach on existing customers.
</Tip>

***

## Custom audience ad targeting

Build technology-qualified custom audiences for LinkedIn, Facebook, and Google Ads. Target decision-makers at companies using specific technologies.

<Tabs>
  <Tab title="How it works">
    1. Search for companies using any technology (40,000+ options)
    2. Filter by company size, industry, geography, and contact role
    3. Export verified email lists formatted for ad platform custom audiences
    4. Create suppression lists of companies already using your product
    5. Refresh audiences dynamically as subscriber/churn signals update the data

    *Example: A marketing automation company targets operations leaders at companies using Airtable. They search "companies using Airtable" (8,400 results), filter for US, 50-500 employees, SaaS industry (2,100 results), and export contacts with title "VP Operations" or "Head of Ops" (1,850 verified emails). Uploaded to LinkedIn as a Matched Audience.*
  </Tab>

  <Tab title="Supported platforms">
    * **LinkedIn Matched Audiences** — Upload technology-segmented email lists for professional targeting
    * **Facebook Custom Audiences** — Role + technology targeting at scale
    * **Google Customer Match** — Technology-qualified contacts for Search and Display
    * **Suppression lists** — Exclude existing customers by technology usage
    * **Lookalike audiences** — Seed lookalikes from technology-qualified cohorts
  </Tab>

  <Tab title="Audience segments">
    Build precise audience segments combining technology signals with contact data:

    * "VPs at companies that just adopted Salesforce" — target new subscribers
    * "Heads of Ops at companies using Airtable + n8n" — target operations sophistication
    * "CTOs at companies that churned from a competitor" — target active evaluators
    * "Marketing leaders at companies using HubSpot but not your integration" — target upsell
  </Tab>
</Tabs>

<Info>
  No competitor at this price point offers technology-segmented custom audience exports. GTM teams running ABM campaigns on LinkedIn and Facebook can build targeted audiences in minutes, not weeks.
</Info>

***

## Marketing and demand generation

Build targeted campaigns using real technology adoption data, subscriber/churn signals, and custom audience exports. Segment audiences by tech stack, personalize outreach at scale, and size your <Tooltip tip="Total Addressable Market — the total revenue opportunity available if a product achieved 100% market share in its category.">TAM</Tooltip> with actual adoption numbers, not estimates.

<Tabs>
  <Tab title="Account-based marketing">
    Enrich CRM records with technology and firmographic data to build precise <Tooltip tip="Ideal Customer Profile — a description of the type of company that gets the most value from your product, based on attributes like size, industry, and technology usage.">ICP</Tooltip> profiles. Target accounts using specific technologies that signal product fit.

    **Example workflow:**

    1. Define your ICP tech stack (e.g., [companies using HubSpot](https://technologychecker.io/technology/hubspot) + Shopify)
    2. Build a filtered list with [lead lists](/features/lead-lists) adding industry and employee count
    3. Enrich with `POST /v1/companies/batch` for full firmographic data
    4. Export contacts as custom audiences for LinkedIn and Facebook
    5. Set up subscriber/churn alerts to dynamically refresh targeting
  </Tab>

  <Tab title="Personalized outreach">
    Use tech stack data to personalize messaging at scale. Reference specific tools a prospect already uses to increase response rates.

    *Example: "We noticed you're using Mailchimp. Our platform integrates natively with it, so your team can start in minutes without migrating data."*

    **API endpoints:**

    * `GET /v1/domain/{domain}` — Get a prospect's full tech stack before outreach
    * `GET /v1/company/{domain}` — Company metadata for personalization
  </Tab>

  <Tab title="Content and SEO">
    Create data-driven content using real adoption statistics. Original data backed by 50M+ domains gives your content a competitive edge over survey-based reports.

    **Content types:** Trend reports ("State of JavaScript 2026"), data-driven articles (see our [Shopify statistics](https://technologychecker.io/blog/shopify-analytics-trends-insights) for an example), industry analyses ("What Technologies Do FinTech Companies Use?"), and interactive visualizations powered by the API.
  </Tab>
</Tabs>

<Tip>
  The [market intelligence API](/api-reference/introduction#market-intelligence) returns historical data with monthly granularity. Ideal for time-series charts, ABM enrichment, and TAM calculations.
</Tip>

***

## ICP analysis and market research

Use 20+ years of historical data to build data-driven ICP profiles, track competitive market share, and analyze technology adoption trends. HG Insights charges $50K+/year for this kind of intelligence. TechnologyChecker starts at $89/month.

<Tabs>
  <Tab title="ICP pattern analysis">
    Identify common technology patterns among your best customers using historical data:

    * Find which technology combinations correlate with your highest-LTV customers
    * Build technology-based ICP scoring models with empirical data
    * Segment prospects by technology maturity level
    * Analyze which technologies predict company growth stages

    *Example: "Our highest-LTV customers use Stripe + Segment + a headless CMS. TechnologyChecker finds 2,400 companies matching this pattern that aren't yet customers."*
  </Tab>

  <Tab title="Market share analysis">
    Compare how technologies compete within a category. The market share API returns ranked data with domain counts and percentages.

    **What you can answer:**

    * Which CMS has the highest market share?
    * How is the <Tooltip tip="Content Delivery Network — a distributed network of servers that delivers web content to users based on their geographic location, improving load times.">CDN</Tooltip> market split between Cloudflare, AWS CloudFront, and Akamai?
    * Which e-commerce platform is growing fastest this quarter?

    **API endpoint:** `GET /v1/category/{id}/market-share`
  </Tab>

  <Tab title="Trend tracking">
    Monitor technology adoption and decline over time with monthly granularity going back 20+ years.

    **What you can answer:**

    * Is React gaining or losing market share compared to Vue.js?
    * When did Shopify overtake WooCommerce?
    * Which technologies peaked and are now declining?

    **API endpoint:** `GET /v1/technology/{id}/history`
  </Tab>

  <Tab title="Migration pattern analysis">
    Where do companies go when they leave a technology? This data answers that question.

    **What you can answer:**

    * Where do companies go after leaving Asana? (60% move to Linear or Notion)
    * What's the typical replacement for Intercom? (Zendesk, Drift, or Freshdesk)
    * Which technologies are cannibalizing market share from the incumbent?
  </Tab>
</Tabs>

<CardGroup cols={2}>
  <Card title="Browse market data" icon="chart-pie" href="/features/market-research">
    Interactive market share charts, quarterly growth, and historical trend visualizations.
  </Card>

  <Card title="Market intelligence API" icon="chart-line" href="/api-reference/introduction#market-intelligence">
    Programmatic access to stats, trends, and market share data.
  </Card>
</CardGroup>

***

## Churn prevention

Monitor existing customer tech stacks for early warning signals. Get alerted when customers subscribe to competing platforms or drop complementary tools. The best time to intervene is before the renewal conversation, not during it.

<Steps>
  <Step title="Set up customer monitoring">
    Add your customer domains to monitoring lists and configure subscriber/churn alerts for competing technologies.
  </Step>

  <Step title="Detect early warning signals">
    Get real-time alerts when customers adopt competing platforms or drop complementary tools. Use 20-year historical data to predict which technology changes correlate with churn.
  </Step>

  <Step title="Intervene proactively">
    Reach out with retention messaging before renewal conversations, armed with technology context and historical patterns. Export at-risk customer contacts for targeted retention campaigns.
  </Step>
</Steps>

<Note>
  When customer success teams can see that an account adopted a competing platform months before renewal, they can address migration concerns proactively. Finding out during the renewal conversation is usually too late.
</Note>

***

## Buying window detection

Reach prospects during active evaluation periods, not weeks later when they've already decided.

<AccordionGroup>
  <Accordion title="Churn-triggered buying windows" icon="clock">
    When a company drops a tool, they typically evaluate replacements for 30-60 days. That's your window.

    *Example: Set alerts for churn from a competing CRM. When 47 companies churn this week, outreach within 48 hours to reach them during active evaluation.*
  </Accordion>

  <Accordion title="Subscription-triggered evaluation signals" icon="circle-plus">
    A company subscribing to multiple tools in a category signals they're actively comparing options.

    *Example: A company subscribes to both Stripe and Braintree. They're evaluating payment processors. Reach out with your payment platform integration.*
  </Accordion>

  <Accordion title="Historical evaluation patterns" icon="chart-line">
    20-year historical data shows typical evaluation timelines by technology category. You can see how long companies in your space usually take to make a decision.

    *Example: Companies evaluating CRM replacements typically take 45-90 days. Time your outreach sequence accordingly.*
  </Accordion>
</AccordionGroup>

***

## Developer integrations

Integrate technology detection into your applications, pipelines, and internal tools with a <Tooltip tip="Representational State Transfer — an architectural style for web APIs using standard HTTP methods (GET, POST, PUT, DELETE).">RESTful</Tooltip> API. The [API quickstart](/api-reference/introduction#quick-start) walks you through authentication and your first request.

<Tabs>
  <Tab title="Lead scoring pipeline">
    Enrich incoming leads in real-time by querying their tech stack as part of your signup or qualification flow.

    ```python Python theme={null}
    import requests

    def score_lead(domain: str, api_key: str) -> dict:
        headers = {"Authorization": f"Bearer {api_key}"}
        response = requests.get(
            f"https://api.TechnologyChecker.io/v1/domain/{domain}",
            headers=headers,
        )
        data = response.json()["data"]
        tech_names = [t["name"] for t in data["active_technologies"]]

        score = 0
        if "Shopify" in tech_names:
            score += 20  # E-commerce target
        if "Google Analytics" in tech_names:
            score += 10  # Data-aware company
        if len(tech_names) > 30:
            score += 15  # Complex tech stack

        return {"domain": domain, "score": score, "technologies": tech_names}
    ```
  </Tab>

  <Tab title="Competitive monitoring">
    Track when target accounts change their tech stack by periodically polling domain endpoints.

    ```javascript JavaScript theme={null}
    async function checkTechChanges(domain, previousTech, apiKey) {
      const response = await fetch(
        `https://api.TechnologyChecker.io/v1/domain/${domain}`,
        { headers: { Authorization: `Bearer ${apiKey}` } }
      );
      const { data } = await response.json();
      const currentTech = data.active_technologies.map((t) => t.name);

      const added = currentTech.filter((t) => !previousTech.includes(t));
      const removed = previousTech.filter((t) => !currentTech.includes(t));

      return { domain, added, removed };
    }
    ```
  </Tab>

  <Tab title="Batch enrichment">
    Enrich a CRM export with technology and company data in bulk.

    ```bash cURL theme={null}
    curl -X POST https://api.TechnologyChecker.io/v1/companies/batch \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"domains": ["stripe.com", "shopify.com", "github.com"]}'
    ```
  </Tab>
</Tabs>

<CardGroup cols={3}>
  <Card title="Authentication" icon="lock" href="/api-reference/authentication">
    Set up bearer token auth.
  </Card>

  <Card title="API reference" icon="square-terminal" href="/api-reference/introduction">
    Explore endpoints and integration guides.
  </Card>

  <Card title="Rate limits" icon="gauge-high" href="/api-reference/rate-limits">
    Plan-based request limits.
  </Card>
</CardGroup>

***

## Investment and due diligence

Technology adoption is a proxy for market traction. Track portfolio companies, evaluate acquisition targets, and spot breakout technologies before they hit mainstream coverage. Combine adoption data with <Tooltip tip="Total Addressable Market — the total revenue opportunity available if a product achieved 100% market share in its category.">TAM</Tooltip> analysis for data-driven investment decisions.

<AccordionGroup>
  <Accordion title="Portfolio monitoring" icon="chart-line">
    Track adoption metrics for portfolio companies' products. Month-over-month growth in website adoption is an early indicator of revenue trends. Use subscriber/churn signals to detect competitive threats in real-time.

    **Key metrics:**

    * Active domains (current adoption)
    * Total domains (all-time reach)
    * Monthly growth rate from historical data
    * Market share position within category
    * Subscriber growth rate vs. churn rate
  </Accordion>

  <Accordion title="Market sizing" icon="chart-pie">
    Use adoption counts to estimate total addressable market. If a category tracks 500K websites and the leader holds 35% share, there's quantifiable room for challengers.

    **API approach:**

    1. `GET /v1/category/{id}/market-share` — Total category size and competitive split
    2. `GET /v1/technology/{id}/history` — Growth trajectory for specific technologies
    3. `GET /v1/technology/{id}/stats` — Current adoption snapshot
  </Accordion>

  <Accordion title="Mapping the competitive picture" icon="map">
    Build a complete view of how technologies compete. Spot consolidation trends, emerging challengers, and market leaders losing ground using 20-year historical data and real-time subscriber/churn signals.

    *Example: A VC firm tracks that Linear's subscriber growth rate is 3x faster than Asana's in the 100-500 employee segment, while 60% of companies leaving Asana move to Linear or Notion.*
  </Accordion>
</AccordionGroup>

***

## Available company data

Every domain lookup or lead list includes technology data combined with firmographic fields and verified contacts.

| Data point              | Example                                         |
| ----------------------- | ----------------------------------------------- |
| Company name and domain | acme.com                                        |
| Industry / vertical     | SaaS, E-commerce, Healthcare                    |
| Employee count          | 51-200                                          |
| HQ location and country | San Francisco, USA                              |
| Founded year            | 2015                                            |
| Company type            | Privately Held                                  |
| LinkedIn URL            | linkedin.com/company/acme                       |
| Detected technologies   | Shopify, Klaviyo, Stripe, React                 |
| Technology categories   | E-commerce, Marketing automation, Payments      |
| Detection timeline      | First seen, last seen, active/inactive          |
| Verified contacts       | Decision-maker emails, roles, LinkedIn profiles |

<Note>
  Available data fields vary by endpoint. See the [API reference](/api-reference/introduction) for response schemas per endpoint.
</Note>

***

## Related pages

<CardGroup cols={2}>
  <Card title="Lead lists" icon="list-check" href="/features/lead-lists">
    Build targeted prospect lists with technology and company filters plus custom audience exports.
  </Card>

  <Card title="Domain lookup" icon="magnifying-glass" href="/features/domain-lookup">
    Scan any website to see its full technology stack.
  </Card>

  <Card title="Market research" icon="chart-line" href="/features/market-research">
    Analyze market share, growth rates, and adoption trends.
  </Card>

  <Card title="API reference" icon="code" href="/api-reference/introduction">
    Full REST API documentation with interactive examples.
  </Card>
</CardGroup>