Technographics

Last updated Feb 20th, 2026

Technographics

Common Room Technographic Signals let you identify, segment, and prioritize accounts based on the technologies they actively use. This gives go-to-market teams a clearer signal of fit, buying readiness, and how to tailor outreach —without manual research or setup.

Technographic data is automatically available across Common Room and can be used in prospecting, segmentation, and account research workflows.

Technographic Signals are included in all Common Room plans; no setup required.

What technographics are

Technographics describe an organization’s technology stack, including:

  • Which tools and platforms an account uses
  • When those technologies were first observed
  • How extensively each tool appears to be deployed

Rather than relying only on firmographics or intent signals, technographics help answer questions like:

  • Is this account a strong ecosystem fit?
  • Are they likely to need our product next?
  • How should we position our message based on their existing stack?

Why technographics matter

Understanding an account’s tech stack is one of the strongest indicators of:

  • Product fit
  • Buying readiness or renewal timing
  • Adoption likelihood
  • Which messaging will resonate

With technographics, teams can:

  • Prioritize the right accounts — not just the most active ones
  • Personalize outreach with relevant technical context
  • Identify net-new prospects that resemble their best customers
  • Avoid dead-end accounts that are incompatible with their ecosystem

Available technographic signals

Common Room provides several technographic signals you can filter and segment on:

SignalWhat it tells youExample Uses
Technology in use
Verified tools observed in an account’s stack
Identify accounts using Salesforce, HubSpot, Snowflake, etc.
First / Last seen date
When a technology was first or last observed
Find recent adopters or infer renewal windows, or determine when someone potentially churned a technology
Intensity
Relative depth of adoption based on verified mentions / installs
Identify mature deployments vs. light experimentation

These signals are designed to support both strategic segmentation and day-to-day prospecting.

Where you’ll see technographics in Common Room

Prospector

Use technographics filters to build targeted account lists, such as:

  • Accounts using a specific technology
  • Accounts that adopted a tool within a recent timeframe
  • Accounts with high or low usage intensity
  • Accounts using one tool but not another

Example searches:

  • Companies that adopted Databricks in the last 90 days
  • Companies using Salesforce and Outreach
  • Companies using HubSpot but not Marketo

Organization / Account Profiles

Each organization profile includes a dedicated view of its observed tech stack, showing:

  • Technologies currently in use
  • When each technology first appeared
  • Relative usage intensity indicators

This helps you:

  • Validate ICP fit before engaging
  • Prepare outreach grounded in the tools the account already relies on
  • Spot replacement or expansion opportunities within an account

Best practices

  • Use first-seen dates as timing signals (adoption anniversaries often align with renewal cycles)
  • Treat intensity as a proxy for maturity and potential deal size, not a concrete install count
  • Combine technographics with other intent and engagement signals for stronger prioritization
  • Use tech stack data to rule out accounts that are a poor technical fit early

Frequently Asked Questions (FAQ)

Where does technographic data come from?

Common Room automatically enriches accounts with verified technographic signals from trusted third-party sources. These sources identify technologies an organization is using, when they were first observed, and how extensively they appear to be deployed.

Do I need to configure anything to use them?

No. Technographics are automatically included for all customers and require no setup, configuration, or ongoing maintenance.

Why do I see a (legacy) Tech stack filter?

As we've updated our partners and data backing our technographic signals, the taxonomy for naming technologies has also been adjusted. Customers who had already used our legacy taxonomy will retain those filters to prevent any pre-existing workflows, segment definitions, scores, or other saved filters from breaking in the future.

How often is technographic data updated?

Technographic data is continuously refreshed as new signals are observed. This allows Common Room to capture changes in an organization’s tech stack over time, including new adoptions and shifts in usage intensity.

What does 'first seen' mean?

“First seen” refers to the earliest date a specific technology was observed at an organization. It can be used to infer adoption timing, renewal windows, or recent stack changes—but it may not represent the exact purchase date.

What does intensity represent?

Usage intensity is a relative indicator of how broadly or deeply a technology appears to be deployed within an organization. Higher intensity often correlates with greater maturity, organizational adoption, or operational importance.

Can I filter for organizations that don't use a specific technology?

Yes. You can filter for accounts that use one technology while explicitly excluding others. This is useful for identifying replacement opportunities or accounts that lack a complementary tool.

Is technographic data available for all companies?

Coverage varies by organization and technology, but Common Room prioritizes high-coverage, high-accuracy signals across commonly used tools and platforms. Some accounts may have more complete stacks than others depending on what can be reliably observed.

How accurate is technographic data?

Technographic signals are verified and modeled to prioritize accuracy over speculation. That said, technographics should be used as directional signals and combined with other data—such as intent, engagement, and firmographics—for best results.

Can technographics be used in segments and automations?

Yes. Technographic fields can be used anywhere segmentation and filtering are supported, including saved segments and downstream workflows.

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