Common Room

What is Common Room

Common Room is a customer intelligence platform built for mid-market and enterprise GTM teams — sales, marketing, revenue operations, community, and DevRel — who need to find and act on high-intent buying signals at scale. Rather than relying on a single data source like website traffic or a static contact database, Common Room aggregates signals from 50+ channels simultaneously: website visits, product usage, job changes, LinkedIn activity, GitHub and developer community activity, G2 reviews, Slack communities, and more. These signals are unified through an AI-powered identity resolution engine that stitches together fragmented data points across channels into a single, actionable view of each prospect — even when they're anonymous across different touchpoints.

The platform's flagship AI capability is RoomieAI™, an AI agent that automatically hunts for warm leads across all connected signal sources, surfaces the highest-intent prospects, resolves their identities, enriches their contact data, and can trigger automated outbound plays — email sequences, CRM tasks, Slack alerts — without requiring manual review of every signal. This positions Common Room not just as a signal aggregation tool, but as an AI-driven prospecting and pipeline acceleration engine. Customers including Grammarly report outcomes such as 30% more meetings per rep and 74% pipeline growth within a single quarter of deployment, driven by the ability to prioritize outreach around warm, intent-rich signals rather than cold outbound.

Common Room is not a CRM, not a cold email sequencer, and not a lightweight intent tool for small teams. Pricing starts at $1,000/team/year and scales to $2,500+/year for the Team plan, making it firmly a mid-market and enterprise investment. It is not designed for companies with simple sales processes, small contact volumes, or teams that don't have the operational maturity to act on the signal intelligence it surfaces. The strongest ROI comes from teams running product-led growth motions, developer-focused GTM, or community-led sales where intent signals live outside traditional CRM and email engagement data.

How Common Room Works

Common Room works by connecting to your existing signal sources — product analytics, CRM, website, community platforms, social networks, review sites — and feeding all of those signals into a unified identity resolution layer that ties disparate data points to individual people and accounts. The result is a continuously updated intelligence layer that knows not just that "someone visited your pricing page" but that it was a specific person at a specific account, who also viewed your G2 profile, whose colleague just changed jobs, and who is active in your Slack community — all resolved to the same identity and scored for intent.

RoomieAI™ then operates on top of this unified signal layer as an autonomous AI agent: it continuously monitors all connected channels for new buying signals, identifies the highest-intent prospects matching your ICP, resolves their identities using Common Room's enrichment engine, and triggers pre-configured automated outbound plays — whether that's adding them to an email sequence, creating a CRM task, notifying a rep in Slack, or updating a lead score in your MAP. Workflow automation is configured through Common Room's workflow center, which lets teams define trigger conditions (e.g., "prospect visits pricing page AND has used product feature X AND works at a company with 200+ employees") and the resulting automated actions without writing code.

Key Features

Common Room delivers AI-powered customer intelligence across 50+ signal channels, with identity resolution, automated outbound plays, and pipeline enrichment built for mid-market and enterprise GTM teams:

Who Should Use Common Room

Common Room is for mid-market and enterprise sales and marketing teams who run GTM motions where buying signals exist outside of traditional CRM and email data — especially product-led growth, developer-led sales, and community-led GTM. It is not for small teams or straightforward outbound-only sales motions.

Perfect For:

• Product-led growth (PLG) companies that need to convert product users to paid customers — Common Room was designed specifically for the PLG motion, where the highest-intent signals (feature adoption, usage frequency, expansion behavior, trial expiration timing) live in product analytics rather than CRM. By connecting to your product data alongside website and community signals, Common Room surfaces the specific users and accounts that are ready for a sales conversation — not the ones who just signed up, but the ones who've hit usage thresholds, invited teammates, or activated key features. For PLG companies, this is the highest-ROI use case: turning self-serve product engagement data into a prioritized outbound pipeline without requiring reps to manually review usage dashboards
• Developer-focused GTM teams with community and open-source signals — Common Room has deep integrations with developer community channels: GitHub stars, forks, and contributor activity; Slack and Discord community engagement; Stack Overflow mentions; developer forum activity. For companies selling developer tools, infrastructure, or APIs, these signals are often the strongest early indicators of buying intent — a developer actively using your open-source tool, contributing to your GitHub repo, or asking questions in your community is far warmer than a cold account that matches ICP firmographics. Common Room unifies these developer signals with traditional GTM data to surface the developers and their companies at the highest intent moment
• Revenue operations teams managing multi-source signal routing and prioritization — for RevOps teams dealing with signal overload from multiple disconnected tools (website visitor ID, product analytics, intent data, job change alerts), Common Room provides a unified signal aggregation and routing layer. Instead of reps manually checking six different dashboards for buying signals, Common Room aggregates all sources, applies ICP scoring and intent weighting, and routes the highest-priority accounts directly to the right rep via CRM tasks, Slack alerts, or automated sequence enrollment. This is the "signal ops" use case: centralizing signal management so reps focus on the highest-intent accounts rather than manually triaging fragmented data
• Mid-market sales teams running account-based motions with community touchpoints — for companies with active user communities, online customer groups, or advocacy programs, Common Room tracks community engagement as a first-party intent signal alongside traditional sales signals. When a target account's champion becomes active in your community, posts a question about an advanced feature, or refers a colleague to your platform, Common Room captures that signal and can trigger an automated or rep-assisted response. This is particularly valuable for teams running land-and-expand motions where existing user engagement signals predict expansion opportunities within accounts
• Enterprise GTM teams that need identity resolution across anonymous touchpoints — at scale, website and product traffic data is often anonymous or attributed to wrong accounts. Common Room's identity resolution engine uses a combination of first-party signals, enrichment data, and probabilistic matching to de-anonymize traffic and stitch together multi-touchpoint journeys. For enterprise teams with long, complex buying cycles involving multiple stakeholders from the same account visiting different properties at different times, this unified account intelligence is essential for understanding where an account truly is in the buying journey

How to Use Common Room

Book a demo or start a free trial at go.coldiq.com/commonroom, connect your signal sources, configure your ICP and scoring model, set up automated outbound plays, and let RoomieAI™ surface high-intent prospects continuously across all channels.

Step-by-Step Process:

• Book a Demo or Start a Free Trial: Common Room offers both a free trial and personalized demo. For mid-market teams, the demo is recommended — Common Room's onboarding team helps configure signal connections and playbooks specific to your GTM motion during the setup process, which significantly accelerates time-to-value. The Starter plan ($1,000/team/yr) includes 2 seats and 35K contacts with select integrations; the Team plan ($2,500/team/yr) expands to 5 seats and 100K contacts. Enterprise pricing is custom for teams needing 200K+ contacts, 10+ seats, comprehensive integrations, and dedicated support. Plan selection should be driven by your contact database size and integration requirements
• Connect Your Signal Sources: Common Room's value scales directly with the number and quality of signal sources connected. Start with your highest-signal sources first: your CRM (Salesforce or HubSpot for bidirectional sync), your product analytics (Segment, Mixpanel, Amplitude, or direct API), and your website (via the Common Room tracking script or existing analytics integration). Then layer in community and social signals relevant to your GTM motion: Slack workspace, LinkedIn, GitHub (for developer-focused companies), G2, Capterra, and job change data. Each connected source adds a new dimension to the unified contact profiles Common Room builds, improving identity resolution accuracy and signal coverage. Integrations are configured via OAuth or API key — no engineering required for standard connections
• Define Your ICP and Lead Scoring Model: Common Room's scoring engine combines firmographic ICP fit (company size, industry, geography, tech stack) with behavioral intent signals (frequency of website visits, product feature adoption, community engagement score, review activity) to produce a composite lead score for every contact and account. Configure your ICP criteria in Common Room's settings — these become the filtering layer that ensures RoomieAI™ surfaces prospects that match your target customer profile, not just any high-engagement contact. Set up custom scoring weights for signals that are most predictive for your specific business: for a PLG company, product activation signals may outweigh website visits; for a community-led company, Slack engagement may be the top-weighted signal
• Build Automated Outbound Plays: Plays are the automated sequences of actions Common Room executes when a contact or account meets a defined threshold. In the Workflow Automation Center, configure trigger conditions (e.g., "contact reaches intent score 80+ AND works at account with 200+ employees AND has activated product feature X in the last 7 days") and the resulting actions: enroll in an email sequence in your sales engagement platform (Outreach, Salesloft, Apollo, Instantly), create a CRM task assigned to the account owner, send a Slack message to the rep with signal context, or update a field in Salesforce. Plays can be fully automated (RoomieAI™ executes without rep review) or human-in-the-loop (rep approves before execution). Start with 2–3 high-confidence plays for your most valuable signal combinations before expanding
• Monitor, Optimize, and Scale: Review RoomieAI™'s signal discovery and play execution in Common Room's dashboard — track which signals are generating the highest meeting rates, which plays convert best, and which accounts are showing rising intent before they're sales-ready. Use this feedback to refine scoring weights, add new signal sources, and build additional plays for different stages of the buying journey. Leverage Common Room's Resource Hub, Signal Guides, and Playbook library for proven configurations from teams in similar GTM motions. For Enterprise customers, a dedicated success manager provides ongoing optimization support and regular business reviews

Common Room Pricing

Common Room starts at $1,000/team/yr (Starter · 35K contacts · 2 seats). Team $2,500/team/yr (100K contacts · 5 seats). Enterprise custom. Demo + free trial available. →