Common Room: What It Actually Does, What It Costs, and Who It Fits
An AI-native go-to-market intelligence platform that pulls signals from 50-plus sources, including product usage, community platforms like Slack, Discord, and GitHub, review sites, and CRM data, into a single scored profile per contact and account, built especially for PLG and developer-tool companies whose buying signal often starts in a community channel long before a form gets filled out.
Common Room is the right pick for a PLG or developer-tool company that wants to catch buying intent wherever it actually starts, not just on the website, by aggregating product usage, community activity on Slack, Discord, and GitHub, social mentions, review-site activity, and CRM data into one scored profile per contact and account. Its Person360 identity resolution ties a GitHub star or a Slack question from an engineer directly to a named account, and its scoring model lets a team weight fit and intent signals however its own go-to-market motion actually works, rather than accepting a fixed formula. Pricing was restructured into Essential, Advanced, and Enterprise tiers in 2026, with Essential starting near $2,500/month ($30,000/year) for 5 seats and 100,000 contacts, and no published self-serve free tier remains. Zoom announced an agreement to acquire Common Room in mid-2026 and the deal has since closed, so the product now sits inside Zoom's broader AI revenue platform and its packaging is likely to keep evolving. It is not the right fit for a company without a real community or product-usage signal to capture in the first place, such as a traditional outbound-only B2B seller, or a team that wants transparent self-serve pricing without a sales conversation.
What Common Room Is For
Common Room is an AI-native go-to-market (the vendor also calls it customer) intelligence platform built around pulling signals from more than 50 sources, product usage data, community platforms like Slack, Discord, and Discourse, developer platforms like GitHub and DEV, social channels like LinkedIn, X, and Reddit, review sites like G2, website analytics, and CRM records, into one continuous feed per contact and account. Its Person360 identity-resolution engine unifies those scattered signals into a single profile, so an engineer's GitHub star, a question asked in a public Slack community, and a later pricing-page visit all attribute back to the same named person and company rather than sitting in three disconnected tools.
It's built for PLG and developer-tool companies whose real buying signal often starts outside the website entirely, in a community channel, an open-source repository, or in-product activity, well before anyone fills out a form or books a demo. A traditional B2B seller without much community or product-usage signal to capture in the first place will get comparatively little value from the platform's core differentiator.
Key Features
- Signal aggregation from 50-plus sources spanning product usage, community platforms (Slack, Discord, Discourse), developer platforms (GitHub, DEV), social channels, review sites, and CRM data
- Person360, an AI identity-resolution engine that unifies scattered signals into one contact and account profile
- Fully customizable lead and account scoring that blends fit and intent signals with team-defined weights per signal type
- Native GitHub, Slack, and Discord integrations built specifically for community-led and developer-tool go-to-market motions
- Automated routing and alerting so a qualifying signal, like a target-account engineer starring a repo, can trigger a sales workflow without manual monitoring
Pros & Cons
Pros
- ✔ Widest breadth of signal sources in this category, especially for community and product-usage signals that a web-visitor-focused or historical-conversion-focused competitor does not capture
- ✔ Person360 identity resolution ties community activity directly to a named account, which matters most for PLG and developer-tool companies whose buying signal often starts outside the website entirely
- ✔ Fully customizable scoring weights let a team tune the model to its own go-to-market motion instead of accepting one fixed formula
Cons
- ✕ No published self-serve free tier as of 2026; a real deployment commonly starts near $30,000/year, and third-party reporting notes onboarding fees and usage-based add-ons can push real cost 30 to 50 percent above the published starting price
- ✕ Recently acquired by Zoom, with the deal announced and closed in mid-2026, so pricing, packaging, and product roadmap are likely to keep changing as it's folded into Zoom's broader AI revenue platform
- ✕ The breadth of signal sources adds real setup and interpretation overhead compared with a narrower, single-purpose intent tool, and much of that value depends on a company actually having meaningful community or product-usage activity to aggregate in the first place
Pricing
| Tier | Price (approx, per year) | What you get |
|---|---|---|
| Essential | Approximately $30,000/year ($2,500/month billed annually) | 5 seats, 100,000 contacts, and core signal aggregation and scoring across product, community, and CRM sources |
| Advanced | Custom quote; third-party buyer data places the median contract across all paid tiers near $30,000/year | Expanded contact volume, additional signal integrations, and deeper scoring customization |
| Enterprise | Custom quote | Full signal breadth, highest contact and seat volume, and dedicated support as the product integrates into Zoom's platform |
Common Room renamed its tiers to Essential, Advanced, and Enterprise in 2026. All plans are billed annually with no monthly option, and third-party reporting notes that credit-based usage limits on contacts and website enrichments, plus onboarding fees commonly reported between $5,000 and $20,000, can push real cost well above the published starting figure.
Common Room does not publish full pricing beyond its Essential tier, and Advanced and Enterprise plans require a custom quote. The figures above are drawn from third-party pricing guides current as of 2026, not an official rate card, and are likely to shift further now that Zoom has completed its acquisition of the company and is integrating it into a broader platform. Confirm current numbers directly with Common Room (or Zoom) before budgeting.
Common questions
Not as of the current version of this page. Common Room previously offered a free plan aimed at small communities under 250 members, but its 2026 pricing page lists no free tier or self-serve trial; every paid plan starts with the Essential tier at approximately $2,500/month billed annually.
The three platforms lean on different signal strategies. MadKudu builds a predictive scoring model on a company's own historical conversion data to identify product-qualified leads. Warmly focuses more narrowly on real-time website-visitor identification and intent-signal detection. Common Room's differentiator is breadth: it aggregates signals from 50-plus sources, including product usage and community platforms like Slack, Discord, and GitHub, which matters most for PLG and developer-tool companies whose buying signal often starts in a community channel rather than on the website.
No. Zoom announced an agreement to acquire Common Room in mid-2026 and the deal has since closed, so the product now operates as part of Zoom's broader AI revenue platform rather than as a standalone company. Pricing and packaging are expected to keep evolving as that integration continues.
Person360 is Common Room's AI-powered identity-resolution engine. It's the mechanism that ties a scattered set of signals, a GitHub star, a Slack question, a website visit, a CRM record, back to a single named person and the account they belong to, so scoring and routing act on one unified profile instead of several disconnected data points.
Primarily PLG and developer-tool companies where meaningful buying signal shows up in product usage or community activity, such as an open-source repository, a public Slack or Discord community, or in-product engagement, before a prospect ever reaches a form. A company without much community or product-usage signal to capture will see comparatively little of what makes the platform distinct.
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