Common Room

Overview

• Category: Community Intelligence & Signal Aggregation Platform
• Pricing: Free (1 seat, 1 data source) • Starts at $625/mo (Team plan, 3 seats, unlimited sources)
• Best For: PLG and community-led companies tracking multi-source engagement signals

What Makes It Stand Out: Common Room pioneered "community-led growth" intelligence by aggregating engagement signals from 30+ sources—Slack communities, GitHub activity, LinkedIn interactions, product usage, support tickets, event attendance, and more—into a unified member profile. Unlike traditional intent data platforms (6sense, ZoomInfo) that track anonymous web behavior, Common Room focuses on known, engaged community members who've already raised their hand through contributions, questions, or participation. This "warm signal" approach is particularly powerful for PLG companies where prospects engage with your community before buying.

Bottom Line: If your GTM motion relies on community, open-source contributions, Slack groups, or PLG activation, Common Room is the signal intelligence platform that turns passive community members into qualified pipeline. It excels at answering: "Who in our community is most engaged and worth sales outreach?" and "Which enterprise accounts have 5+ employees using our free product?" Unlike Apollo/ZoomInfo (cold outbound databases), Common Room focuses on warming up existing relationships—resulting in 3-5x higher reply rates (15-25% vs 3-5% cold) and 2-3x faster sales cycles (community-engaged prospects convert faster).

Common Room is a community intelligence and signal aggregation platform that unifies engagement data from 30+ sources to:

1. Aggregate Multi-Source Engagement Signals

Connect Slack, Discord, GitHub, LinkedIn, product analytics (Segment, Amplitude), CRM (Salesforce, HubSpot), support tickets (Zendesk, Intercom), email (Mailchimp), events (Hopin, Eventbrite), and social media (Twitter, Reddit) into one unified view. Every interaction—code commits, Slack messages, LinkedIn comments, feature usage, support questions—flows into Common Room's member profiles.

Why This Matters: Traditional sales tools silo data: Product usage lives in Amplitude, community engagement in Slack, social activity on LinkedIn, support history in Zendesk. Common Room breaks down these silos, revealing the FULL picture of engagement. A prospect who:

• Contributed 15 GitHub issues (product interest)
• Asked 8 questions in Slack community (active learner)
• Attended 2 webinars (educating themselves)
• Used free product 40 times/month (power user)

...is FAR more qualified than a cold LinkedIn profile with verified email. Common Room surfaces this complete engagement story.

2. Score & Rank Community Members by "Warmth"

Automatically score every community member (0-100) based on engagement recency, frequency, and depth across all connected sources. High scores (>70) indicate warm prospects ready for sales outreach. Scores update in real-time as members engage.

Scoring Factors:

• Recency: Active in last 7 days > Active 30 days ago > Dormant 90+ days
• Frequency: 20 interactions/month > 5 interactions/month > 1 interaction/quarter
• Depth: Asking thoughtful questions, contributing code, attending paid events > Passive lurking
• Virality: Sharing your content on LinkedIn, referring others to community, advocating publicly

Common Room's ML models learn which engagement patterns correlate with conversion—automatically adjusting scores based on your historical data.

3. Identify High-Value Accounts (Enterprise Motion)

For enterprise sales, Common Room clusters individual community members into company accounts, revealing which companies have 5+ employees actively engaged with your community or product. This "breadth of engagement" signal indicates organizational interest, not just individual curiosity.

Example:

• Acme Corp has 12 engineers in your Slack community
• 8 have used your free product in last 30 days
• 3 attended your enterprise webinar
• 2 contributed GitHub issues requesting enterprise features

Common Room flags Acme Corp as a high-value target account—clear signal they're evaluating at organizational level.

4. Automate Workflows Based on Engagement Signals

Trigger automated actions when engagement thresholds are met:

• When community member scores >80 → Create Salesforce Lead + Notify AE
• When account has 5+ active users → Alert Enterprise Sales team
• When member asks "pricing" or "enterprise features" in Slack → Route to sales immediately
• When GitHub contributor makes 10th commit → Send swag package + intro to sales

The Core Workflow:

Community Member Joins (Slack, GitHub, Free Product)
   ↓
Common Room Tracks Engagement (questions, usage, contributions, events)
   ↓
Engagement Score Increases (20 → 40 → 70 → 85)
   ↓
Automated Workflow Triggers (score >80 → Create SF Lead → Notify AE)
   ↓
AE Reaches Out with Context (references specific contributions/questions)
   ↓
15-25% Reply Rate (vs 3-5% cold outreach)
   ↓
Conversion to Paid (community-engaged = 2-3x faster sales cycle)

1. Unified Member Profiles: 30+ Data Sources in One View

What It Is: Common Room aggregates every interaction across 30+ platforms into a single member profile. For each community member, see their complete engagement history: Slack messages, GitHub commits, LinkedIn comments, product usage events, support tickets, webinar attendance, email opens, Twitter mentions—all timestamped and categorized in one timeline.

Why It Matters: Sales reps waste 2-3 hours/day context-switching between tools (CRM, Slack, GitHub, Amplitude, Zendesk) to research prospects. Common Room eliminates this by consolidating all engagement data in one place. When a rep sees: "This prospect asked 12 questions in Slack about enterprise SSO, contributed 3 GitHub issues requesting SAML, and attended our security webinar"—they know EXACTLY how to personalize outreach.

How It Works:

• Data Connectors: One-click OAuth integrations to 30+ platforms (Slack, GitHub, LinkedIn, Segment, Salesforce, HubSpot, Zendesk, Intercom, Mailchimp, Hopin, Eventbrite, Twitter, Reddit, YouTube, Discourse, Circle, Mighty Networks, etc.)
• Identity Resolution: Common Room matches members across platforms (same email, LinkedIn profile, GitHub username) to de-duplicate and unify identities
• Activity Timeline: Chronological feed of every interaction—sorted by recency or filtered by activity type (product usage, community posts, LinkedIn engagement)
• Engagement Categories: Activities auto-tagged: Questions, Contributions, Advocacy, Product Usage, Event Attendance, Content Consumption
• Notes & Tags: Sales/CS teams can add manual notes, custom tags, or mark members as "Champion," "Detractor," or "Hot Lead"

Real-World Use: A DevTools company's AE prepares for a call with a warm lead. Opens Common Room profile and sees:

• Slack: Asked 8 questions about API authentication (past 30 days)
• GitHub: Opened 2 issues requesting OAuth improvements (indicates pain point)
• Product Usage: Logged in 45 times last month (power user of free tier)
• LinkedIn: Liked 3 of company's product update posts (engaged follower)
• Webinar: Attended "Enterprise Security Best Practices" webinar (enterprise intent signal)

AE crafts email: "Hey [Name], saw you've been active in our community exploring API authentication. I also noticed your GitHub issues around OAuth—we actually just released OAuth 2.1 support in our Enterprise plan. Worth a 15-min call to show you how [Similar Company] solved this?"

Result: 38% reply rate (vs 5% cold outreach) because message is hyper-contextual.

Pricing Impact: Unlimited member profiles included in all plans. Free plan limited to 1 data source (e.g., Slack only). Team plan ($625/mo) = unlimited data sources + 3 seats. Growth plan ($1,875/mo) = unlimited sources + 10 seats + advanced scoring.

2. Engagement Scoring: AI-Powered "Warmth" Rankings

What It Is: Common Room automatically assigns every community member a 0-100 engagement score based on recency, frequency, depth, and virality of interactions. ML models learn from your historical conversion data to identify which engagement patterns predict pipeline/revenue. Scores update in real-time as members engage.

Why It Matters: Not all community members are equal. Someone who lurks in Slack (score: 20) is far less qualified than someone who asks questions, contributes code, attends events, and uses the product daily (score: 85). Engagement scoring helps sales teams prioritize outreach to the warmest prospects—typically achieving 15-25% reply rates on scores >70 vs 3-5% on cold lists.

How It Works:

• Recency Decay: Recent activity weighted higher (engaged in last 7 days > engaged 30 days ago)
• Frequency Multiplier: Regular engagement beats one-time activity (10 interactions/month > 10 interactions once)
• Depth Scoring: Meaningful contributions (asking questions, code commits, referring others) score higher than passive consumption (reading docs, lurking)
• Virality Bonus: Publicly advocating (LinkedIn posts, Twitter mentions, conference talks) signals strong affinity
• Custom Weights: Adjust scoring formula to match your GTM motion (e.g., PLG companies weight product usage 2x, enterprise companies weight webinar attendance 3x)
• ML Optimization: Common Room's models analyze which historical members converted to paid and auto-adjusts scoring to surface similar profiles

Scoring Tiers:

• 0-30 (Cold): Minimal engagement, passive lurker—not ready for outreach
• 30-50 (Warm): Occasional engagement, beginning to explore—nurture with content
• 50-70 (Hot): Regular engagement, asking questions, using product—ready for soft intro
• 70-85 (Very Hot): Highly engaged, power user, contributing—ready for sales outreach
• 85-100 (On Fire): Champion-level engagement, advocate, recruiting others—prioritize immediately

Real-World Use: A SaaS company filters Common Room for members with scores >75. Identifies 240 high-scoring members (vs 5,000 total community). SDRs prioritize outreach to these 240:

• Cold List (score <30): 2.8% reply rate, 0.3% meeting booking rate
• Hot List (score >75): 22% reply rate, 4.5% meeting booking rate

By focusing on high-score prospects, SDR team books 15x more meetings per hour of outreach.

Pricing Impact: Basic engagement scoring included in Free and Team plans. Advanced ML-powered scoring (learns from your CRM data) requires Growth plan ($1,875/mo) or Enterprise plan (custom pricing).

3. Account-Level Intelligence: Map Individual Members to Companies

What It Is: Common Room automatically clusters individual community members into company accounts based on email domains, LinkedIn profiles, and CRM data. View which companies have multiple employees engaged with your community, product, or content—revealing organizational buying signals vs individual curiosity.

Why It Matters: For enterprise sales, one engaged engineer isn't enough—you need 5-10 stakeholders across engineering, product, and leadership engaged to justify pursuing the account. Common Room's account rollups reveal: "Acme Corp has 12 employees in our Slack, 8 using free product, and 3 attended enterprise webinar"—clear signal of organizational interest, not just individual exploration.

How It Works:

• Email Domain Clustering: Automatically groups members by company email domain (@acme.com)
• LinkedIn Enrichment: Matches members to companies via LinkedIn profile data
• CRM Sync: Links to existing Salesforce/HubSpot Account records for unified view
• Account Dashboard: Shows:
  • Total Members: How many employees from this company are in community (breadth signal)
  • Aggregate Engagement Score: Average of all members' individual scores (depth signal)
  • Top Activities: Most common engagement types (product usage, support questions, GitHub)
  • Growth Trend: New members joining from this account (expanding interest)
  • Department Breakdown: Which departments are engaged (engineering, product, sales, leadership)
• Enterprise Flags: Auto-tags accounts as "Enterprise Opportunity" when thresholds met (e.g., 5+ engaged members, 70+ avg score)

Real-World Use: A PLG company targeting enterprise expansion identifies high-engagement accounts:

Acme Corp (Enterprise Opportunity):

• 18 engaged members (breadth: multiple departments)
• Avg engagement score: 72 (depth: highly active)
• Top activities:
  • 45 product logins/month (power usage of free tier)
  • 23 Slack questions about SAML/SSO (enterprise security interest)
  • 8 GitHub issues requesting audit logs (compliance requirements)
  • 4 attended "Enterprise Migration" webinar
• Departments: 12 Engineering, 4 Product, 2 Security (cross-functional interest)
• Recent growth: +6 new members in last 30 days (expanding evaluation)

Insight: Acme Corp is clearly evaluating enterprise deployment—12 engineers using product + security team asking compliance questions + recent webinar attendance = ripe for enterprise sales conversation.

AE reaches out to most engaged member (score 88, asked 12 Slack questions) with message: "Hey [Name], noticed your team at Acme has been active in our community—looks like you're exploring enterprise SSO based on your Slack questions. Happy to set up a call with our Solutions team to walk through our Enterprise plan..."

Result: 65% reply rate on account-based outreach (vs 5% cold enterprise outreach) because you're engaging accounts already evaluating.

Pricing Impact: Account-level intelligence requires Team plan ($625/mo) or higher. Free plan shows individual members only (no account clustering).

4. Signal-Triggered Workflows: Automate Sales/CS Actions

What It Is: Create if-this-then-that workflows that automatically trigger sales or customer success actions when engagement signals meet defined thresholds. Common Room monitors all connected data sources 24/7 and executes workflows in real-time as signals fire.

Why It Matters: Speed-to-lead is everything. When a community member scores >80, asks about pricing, or reaches usage limits on free tier—you need sales reaching out within hours, not days. Manual monitoring doesn't scale (who's watching Slack, GitHub, Amplitude, LinkedIn 24/7?). Signal-triggered workflows ensure you never miss high-intent moments.

How It Works:

• Workflow Builder: No-code if-this-then-that interface
• Trigger Conditions:
  • Engagement Score: When member reaches score >80 → Notify sales
  • Account Threshold: When account has 5+ active members → Create Enterprise opportunity in Salesforce
  • Product Usage: When user hits API rate limit (usage ceiling signal) → Trigger upgrade outreach
  • Community Keywords: When member asks "pricing," "enterprise," "SAML," "compliance" in Slack → Alert sales immediately
  • Multi-Touch: When member attends webinar + uses product 10x + asks question in Slack within 30 days → High-intent combo trigger
  • Dormancy: When previously engaged member goes 60 days without activity → Alert CS for re-engagement
• Actions:
  • Create Lead/Contact in Salesforce or HubSpot
  • Send Slack notification to sales/CS team
  • Add member to email nurture campaign (Mailchimp, HubSpot)
  • Assign task to specific AE or CSM
  • Send automated email/DM with contextual messaging
  • Add to LinkedIn outreach campaign

Example Workflows:

Workflow 1: High-Intent PLG Conversion

• Trigger: Member uses free product 20x in 30 days + asks "How do I upgrade?" in Slack
• Actions:
  1. Create Salesforce Lead (tag: "High Intent PLG")
  2. Notify assigned AE via Slack: "Hot lead: [Name] at [Company] hit 20 logins + asked about upgrade"
  3. Auto-send email: "Hey [Name], saw you've been loving the product! Happy to walk you through paid plans—here's my calendar..."

Workflow 2: Enterprise Account Expansion

• Trigger: Account reaches 10+ engaged members + Avg score >70
• Actions:
  1. Create Salesforce Opportunity ($50K ARR value)
  2. Assign to Enterprise AE
  3. Send notification: "Acme Corp has 10+ users, avg score 74—enterprise opportunity"
  4. Create task: "Reach out to top 3 engaged members at Acme Corp"

Workflow 3: Churn Prevention (CS Use Case)

• Trigger: Paying customer's engagement score drops from 80 → 40 in 30 days
• Actions:
  1. Alert CSM via Slack: "[Customer Name] engagement dropped 50%—churn risk"
  2. Create task: "Check in with [Customer]—decreased Slack activity + product usage"
  3. Suggest action: "Offer office hours or share new feature updates"

Real-World Use: A DevTools company set up workflow: "When GitHub contributor makes 5th commit → Send swag box + sales intro email." This workflow triggered 87 times in Q1, resulting in 23 sales conversations (26% conversion from workflow trigger to meeting) and 7 closed deals ($140K total ACV).

Pricing Impact: Basic workflows (3-5 workflows, simple triggers) included in Team plan ($625/mo). Advanced workflows (unlimited, complex multi-condition triggers, custom actions) require Growth ($1,875/mo) or Enterprise plans.

5. LinkedIn & Social Media Monitoring (Community Engagement Beyond Your Walls)

What It Is: Track community members' social media activity—LinkedIn posts, comments, shares, Twitter mentions, Reddit threads, YouTube engagement—even when they're NOT directly interacting with your brand. Identify warm prospects advocating for you publicly, asking relevant questions in LinkedIn groups, or discussing adjacent topics (pain points your product solves).

Why It Matters: Traditional community platforms (Slack, Discord) only show engagement within YOUR community. But prospects often discuss their problems, evaluate vendors, and ask for recommendations in public social channels (LinkedIn, Twitter, Reddit) before joining your community. Common Room's social monitoring surfaces these "dark signals"—allowing you to engage prospects earlier in their buying journey.

How It Works:

• LinkedIn Monitoring:
  • Track when community members post content related to your product category
  • See when they comment on your company's posts (engaged followers)
  • Identify when they share your content (advocates)
  • Monitor LinkedIn groups where they're active (topic-based intent)
• Twitter/X Tracking:
  • Monitor mentions of your product, competitors, or keywords ("best CRM," "Salesforce alternative")
  • Track community members' tweets discussing pain points
  • Identify influencers amplifying your content
• Reddit Monitoring:
  • Track subreddit activity (r/sales, r/marketing, r/startups) where prospects discuss challenges
  • Identify community members asking for recommendations ("What sales engagement tool should I use?")
• YouTube Engagement:
  • See when community members watch your tutorial videos, webinars, or product demos
  • Track engagement depth (watched 80%+ of video = high intent)

Real-World Use: A sales enablement platform monitors LinkedIn for posts containing keywords: "sales coaching," "ramp time," "onboarding." Identifies 45 prospects (not yet in their community) discussing these pain points publicly. SDR team engages with helpful comments, offers free resources, and invites to Slack community.

Example:

• LinkedIn Post: "Our new SDR ramp time is 6 months 😫 Any suggestions on shortening this?"
• Common Room Alert: Flags this as high-intent signal (prospect has pain point your product solves)
• SDR Action: Comments: "We had same issue—cut ramp from 5 months to 8 weeks using [Product]. Happy to share our playbook if helpful?"
• Result: Prospect replies, joins Slack community, becomes engaged member, converts to paid customer 6 weeks later

Pricing Impact: Social media monitoring (LinkedIn, Twitter, Reddit) included in Growth plan ($1,875/mo) and Enterprise plans. Team plan ($625/mo) includes basic LinkedIn integration (tracks only direct interactions with your brand, not broader topic monitoring).

Common Room maps to 3 of 5 GTM stages, with exceptional strength in Signal Detection:

Primary: Signal Detection (95% Focus)

What It Excels At: Common Room is THE best-in-class signal detection platform for community-led and PLG companies. It aggregates 30+ sources (Slack, GitHub, LinkedIn, product usage, support, events) into unified profiles, surfaces warm prospects with 70+ engagement scores, and identifies high-value accounts with 5+ engaged employees. Unlike anonymous intent data (6sense), Common Room tracks known, engaged members—resulting in 15-25% reply rates vs 3-5% cold.

Signal Types Detected:

• Product Usage Signals: Free tier power users hitting limits (upgrade intent)
• Community Engagement: Asking questions, contributing code, attending events (learning/evaluation phase)
• Keyword Signals: Members mentioning "pricing," "enterprise," "SAML" (buying intent)
• Account Breadth: 5+ employees from same company engaged (organizational evaluation)
• Social Advocacy: LinkedIn posts, Twitter mentions, Reddit recommendations (champion behavior)
• Dormancy Signals: Previously engaged members going dark (churn risk for CS teams)

Secondary: Enrichment + Personalization

Enrichment (60% Focus): Common Room enriches member profiles with LinkedIn data, email verification, company firmographics (via Clearbit integration), and technographic data. However, enrichment is secondary to engagement tracking—you're enriching known community members, not cold prospects.

Personalization (70% Focus): Common Room's unified member profiles enable hyper-personalized outreach by surfacing exactly HOW prospects have engaged ("I saw your GitHub issue about OAuth, your Slack question on SAML, and noticed you attended our security webinar"). This context-aware personalization drives 15-25% reply rates (vs 3-5% generic cold outreach).

Not Covered: Orchestration + Optimization

Orchestration: Common Room has basic workflow automation (trigger sales actions based on signals) but is NOT a sales engagement platform. No email sequences, no phone dialer, no cadence automation. You'll export leads to Outreach, Salesloft, Instantly, or HubSpot for orchestration.

Optimization: No deliverability monitoring, no inbox placement tracking, no email optimization. Pair with ColdIQ or Instantly for deliverability intelligence.

Sends Data To (Downstream)

CRMs:

• Salesforce (native: auto-create Leads/Contacts from high-score members, sync engagement data, log activities)
• HubSpot (native: create Contacts, enrich existing records, trigger workflows based on Common Room scores)
• Pipedrive (via Zapier: push leads to Pipedrive when score >80)

Sales Engagement Platforms:

• Outreach (export high-score members → Outreach sequences)
• Salesloft (export leads → Salesloft cadences)
• Instantly, Lemlist (export CSV → import to email tools)

Marketing Automation:

• HubSpot Marketing (trigger email campaigns based on engagement scores)
• Mailchimp (add high-score members to nurture campaigns)
• Marketo (via Zapier: sync leads for scoring/campaigns)

Workflow Automation:

• Zapier (1,000+ integrations: "Common Room score >80 → Create Salesforce Lead → Notify AE in Slack")
• Make (complex workflows with conditional logic)

Receives Data From (Upstream)

Community Platforms:

• Slack (messages, reactions, thread participation, DMs)
• Discord (messages, voice chat attendance, role assignments)
• Circle, Discourse, Mighty Networks (community platform integrations)

Developer Tools:

• GitHub (commits, issues, PRs, stars, forks, discussions)
• GitLab (merge requests, issues, code contributions)
• Stack Overflow (questions, answers, reputation)

Product Analytics:

• Segment (product usage events, feature adoption, session frequency)
• Amplitude (user behavior, retention, feature usage)
• Mixpanel (event tracking, funnel analysis)

Support & Success:

• Zendesk (support tickets, response times, satisfaction scores)
• Intercom (chat conversations, message frequency, sentiment)
• Gong (sales call recordings, talk time, objection handling—for post-sale CS)

Social Media:

• LinkedIn (posts, comments, shares, profile engagement)
• Twitter/X (mentions, hashtags, retweets)
• Reddit (subreddit activity, posts, comments)
• YouTube (video views, comments, engagement time)

Events:

• Hopin, Eventbrite (webinar attendance, session engagement, Q&A participation)
• Zoom (webinar attendance, watch time)
• Calendar integrations (meeting attendance)

Email & Content:

• Mailchimp (email opens, clicks, campaign engagement)
• HubSpot Marketing (content downloads, form fills, page views)
• Qualified, Clearbit Reveal (website visitors, page views)

Works Alongside (Complementary)

Data Enrichment:

• Clearbit (enrich Common Room profiles with firmographic data)
• FullEnrich (append emails/phones to high-score members)

Intent Data:

• 6sense (layer anonymous intent on top of Common Room's known engagement)
• Bombora (combine intent data with Common Room signals for complete picture)

Email Deliverability:

• Instantly (use Common Room leads + Instantly's infrastructure for deliverability)
• ColdIQ (validate emails before sending to high-score members)

Native Integrations (Built-In)

Tier 1 (Deepest Integrations):

• Slack, Discord (real-time message streaming, user matching)
• GitHub, GitLab (commit tracking, issue sync, contribution analysis)
• Salesforce, HubSpot (bi-directional sync, auto-enrichment, workflow triggers)
• Segment (product event streaming)
• LinkedIn (profile enrichment, post tracking, engagement monitoring)

Tier 2 (Standard Integrations):

• Zendesk, Intercom (ticket sync, sentiment analysis)
• Amplitude, Mixpanel (product analytics sync)
• Mailchimp (email engagement tracking)
• Hopin, Zoom, Eventbrite (event attendance tracking)
• Twitter, Reddit, YouTube (social media monitoring)

Tier 3 (Via API/Zapier):

• Custom integrations via Common Room API
• 1,000+ apps via Zapier/Make
• CSV import for legacy data

Integration Quality: Common Room's Slack and GitHub integrations are exceptionally mature—real-time streaming, bidirectional enrichment, and accurate identity matching. Salesforce integration is robust (field mapping, deduplication, workflow triggers). Social media integrations (LinkedIn, Twitter) are good but occasionally lag 24-48 hours due to platform API limitations.

Use Case 1: PLG → Sales: Convert Free Users to Paid Enterprise

Scenario: Your DevTools company has 5,000 free-tier users. Your PLG motion lets users self-serve for small projects, but you want to identify which free users are actually enterprise prospects worth sales outreach (companies with 5+ engaged users, hitting API limits, asking about SSO).

Step-by-Step Workflow:

1. Connect Data Sources:

   • Common Room → Integrations
   • Connect:
     • Product Analytics: Segment (tracks product usage: logins, API calls, feature adoption)
     • Community: Slack workspace (5,000 members asking questions, sharing tips)
     • GitHub: Public repo (users opening issues, contributing code, requesting features)
     • LinkedIn: Company page (track who engages with product updates)
     • Zendesk: Support tickets (track who asks questions about enterprise features)

2. Build "Enterprise Intent" Segment:

   • Common Room → Segments → Create New
   • Filters:
     • Engagement Score: >70 (highly active)
     • Product Usage: >20 logins in last 30 days (power user)
     • Account Size: Company has 5+ engaged members (organizational signal)
     • Keywords: Asked about "SSO," "SAML," "compliance," "audit logs," "enterprise" in Slack or support tickets
     • API Usage: Approaching free tier limits (80%+ of API quota consumed)
   • Results: 87 members (vs 5,000 total) match "Enterprise Intent" profile

3. Prioritize by Account (Company-Level View):

   • Common Room → Accounts → Sort by "Aggregate Engagement Score"
   • Identify top 20 accounts with highest combined engagement:

   Example: Acme Corp

   • 14 engaged members (breadth signal: multiple departments)
   • Avg engagement score: 78 (depth signal: highly active across all 14)
   • Top signals:
     • 8 members hitting API rate limits (usage ceiling = upgrade trigger)
     • 6 asked about SSO/SAML in Slack (enterprise security requirement)
     • 4 attended "Enterprise Migration" webinar (explicit interest)
     • 12 opened GitHub issues requesting audit logs, role-based access control (enterprise features)
   • Insight: Acme Corp is clearly outgrowing free tier and needs enterprise deployment

4. Trigger Automated Workflow:

   • Common Room → Workflows → Create
   • Trigger: Account reaches 5+ members + Avg score >75 + Keyword match ("enterprise" OR "SSO")
   • Actions:
     1. Create Salesforce Opportunity: "$50K ARR—PLG Enterprise Expansion"
     2. Assign to Enterprise AE
     3. Send Slack notification: "Acme Corp: 14 users, 78 avg score, asking about SSO—ready for enterprise convo"
     4. Create task: "Reach out to top 3 engaged Acme members within 48 hours"

5. Personalized Outreach to Top Engaged Members:

   • AE reviews Common Room profile for John Smith (Acme Corp, score 92):

     • Slack: Asked 18 questions about API authentication (clear pain point)
     • GitHub: Opened 5 issues requesting RBAC, audit logs, SSO (enterprise feature requests)
     • Product Usage: Logged in 67 times last month (power user)
     • Webinar: Attended "Enterprise Security Best Practices"

   • AE sends email: "Hi John,

     I've been following your activity in our community—looks like you and your team at Acme (14 folks!) have been power users of the free tier. I noticed your GitHub issues around RBAC and SSO, plus your questions about enterprise auth in Slack.

     We just released our Enterprise plan with SSO/SAML, granular RBAC, and audit logs (exactly what you've been requesting). Happy to walk you through how [Similar Company] migrated their 20-person team to Enterprise—cut auth setup time from 2 weeks to 2 hours.

     Worth a quick call?"

6. Track Conversion:

   • John replies (48% reply rate on PLG-engaged accounts vs 5% cold)
   • AE demos Enterprise plan, references John's specific GitHub issues and Slack questions
   • Acme Corp converts to $65K ARR Enterprise plan (3-week sales cycle vs 6-month typical enterprise cycle)

Results: PLG → Enterprise conversion program using Common Room:

• 87 high-intent free users identified (vs 5,000 total)
• 20 top accounts prioritized (with 5+ engaged members each)
• 38% reply rate (vs 5% cold outreach baseline)
• 14 demos booked (from 20 prioritized accounts = 70% conversion)
• 9 closed deals ($540K total ACV, avg deal: $60K)
• Sales cycle: 3-5 weeks (vs 6-9 months typical enterprise cold outreach)

Pro Tips:

• Combine product usage limits (API quota) + community keywords ("SSO," "enterprise") = strongest intent signals
• Engage top 2-3 most active members at target account (not just decision-maker)—they're your internal champions
• Reference specific GitHub issues, Slack questions, or webinar attendance in outreach for instant credibility

Use Case 2: Community-Led Demand Generation (Identify Advocates & Amplify)

Scenario: Your SaaS company has a 3,000-member Slack community. You want to identify your top advocates (members who publicly praise your product on LinkedIn, refer others, contribute to community) and turn them into a "champion program" that amplifies your brand and drives inbound leads.

Step-by-Step Workflow:

1. Define "Advocate" Segment:

   • Common Room → Segments → Create "Advocates"
   • Filters:
     • Engagement Score: >80 (highly engaged)
     • LinkedIn Activity: Posted about your product (shared content, wrote testimonials, commented positively on your posts)
     • Referrals: Invited 3+ new members to Slack community
     • Contributions: Answered 10+ questions in Slack (helping others)
     • Virality: @mentioned your product in Twitter/LinkedIn with positive sentiment
   • Results: 42 members (out of 3,000) qualify as "Advocates"

2. Build Advocate Profiles:

   • Review each advocate's Common Room profile
   • Example: Sarah Johnson (Score 94)
     • Slack: Answered 47 questions in last 90 days (top contributor)
     • LinkedIn: Posted 3 times about your product: "Just hit 10K API calls with [Product]—love the DX!", shared your product launch post (14 likes), wrote detailed LinkedIn article comparing your tool to competitors (favorably)
     • Referrals: Invited 8 colleagues to Slack community
     • Product Usage: Power user (150 logins/month, uses advanced features)
     • Sentiment: 100% positive across all interactions

3. Launch Champion Program:

   • Manually reach out to 42 advocates via Slack DM: "Hi Sarah! We've noticed you're one of our most engaged community members—you've helped 47 people in Slack, shared our product on LinkedIn, and brought 8 colleagues into the community. Thank you!

     We're launching a Champion Program for our top advocates. Benefits:

     • Early access to new features (beta program)
     • Quarterly swag boxes
     • Direct line to our product team (feature requests prioritized)
     • Invitation to exclusive Champion events (dinners at conferences, virtual roundtables)
     • Optional: Case study feature on our blog + LinkedIn promotion

     Interested in joining? No obligations—just want to recognize and support our biggest fans."

4. Activate Champions for Amplification:

   • Common Room → Workflows → "Amplification Workflow"
   • Trigger: New product launch, feature release, or content publish
   • Actions:
     1. Send Slack DM to all 42 Champions: "Hey! We just launched [Feature]. Would love your feedback—and if you like it, a LinkedIn post would mean the world 🙏"
     2. Provide pre-written LinkedIn post template (easy for them to share): "Just tried [Product]'s new [Feature]—game changer for [Use Case]. If you're doing [X], check it out: [link]"
     3. Track who shares (LinkedIn monitoring in Common Room)
     4. Send thank-you DM + swag to those who amplified

5. Measure Amplification Impact:

   • Product Launch Week:
     • 32 of 42 Champions shared launch post on LinkedIn (76% activation rate)
     • Combined reach: 180,000 impressions (Champions' networks)
     • Generated 47 inbound demo requests (tracked via UTM links in Champion posts)
     • Conversion: 12 closed deals ($240K ARR) directly attributed to Champion referrals

6. Reward & Nurture Champions:

   • Send personalized thank-you messages to all 32 who shared
   • Ship custom swag boxes ($100 value each)
   • Feature top 5 Champions in monthly blog post: "Community Spotlight: Sarah Johnson"
   • Invite to quarterly virtual roundtable with CEO/CPO (VIP treatment)

Results: Champion Program using Common Room:

• 42 advocates identified from 3,000 community members (top 1.4%)
• 76% activation rate (32 Champions amplified product launch)
• 180,000 LinkedIn impressions (earned media vs paid ads)
• 47 inbound demos (warm leads from Champion referrals)
• 12 closed deals, $240K ARR (20% close rate on Champion-referred leads vs 8% baseline)

Pro Tips:

• Recognize Champions publicly (blog features, LinkedIn shoutouts)—advocates LOVE public recognition
• Give exclusive perks (early access, direct line to product team) that money can't buy
• Don't over-ask—request amplification 1-2x/quarter max (not every week)
• Track Champion NPS and retention (Champions churn at 2% vs 15% baseline)

Use Case 3: Customer Success—Identify Churn Risk Before It's Too Late

Scenario: Your SaaS company has 500 paying customers. Customer Success team is reactive—they only find out about churn risk when customers fail to renew. You want to proactively identify disengaged customers BEFORE they churn.

Step-by-Step Workflow:

1. Connect Customer Engagement Sources:

   • Common Room → Integrations
   • Connect:
     • Product Usage: Segment (track logins, feature usage, session duration)
     • Support: Zendesk (ticket volume, sentiment, resolution time)
     • Community: Slack (customer-only channel activity)
     • Webinars: Zoom (attendance at customer training sessions)
     • Email: Mailchimp (email open rates, click rates on release notes)

2. Define "Healthy Customer" Baseline:

   • Analyze top 100 retained customers (renewed for 2+ years)
   • Healthy customer engagement profile:
     • Engagement score: 60-80 (regular but not excessive activity)
     • Product usage: 15-30 logins/month
     • Support tickets: 0-2 tickets/quarter (not crickets, not fire)
     • Slack: Active 2-4x/month (occasionally asks questions, shares wins)
     • Webinars: Attends 1-2 training sessions/quarter

3. Build "Churn Risk" Segment:

   • Common Room → Segments → Create "Churn Risk"
   • Filters:
     • Engagement Score: Dropped 30+ points in last 60 days (e.g., 75 → 45)
     • Product Usage: <5 logins in last 30 days (disengagement)
     • Support: No tickets in 90 days (radio silence = not even asking for help)
     • Slack: No messages in 60 days (community disengagement)
     • Email: <20% open rate on last 5 release notes (not paying attention)
   • Results: 23 customers (out of 500) flagged as "Churn Risk"

4. Trigger Proactive CS Outreach:

   • Common Room → Workflows → "Churn Prevention"
   • Trigger: Customer enters "Churn Risk" segment (score drops 30+ points)
   • Actions:
     1. Create high-priority task in CS tool (Gainsight, Totango): "CHURN RISK: [Customer Name]—engagement dropped 40% in 60 days"
     2. Notify assigned CSM via Slack: "[Customer Name] hasn't logged in 28 days, no Slack activity in 60 days—reach out immediately"
     3. Assign CSM action: "Schedule check-in call within 48 hours—understand what changed"

5. CSM Investigates Context:

   • CSM reviews Common Room profile for Acme Corp (churn risk):
     • Previous engagement: Score 78 (healthy)
     • Current engagement: Score 42 (dropped 36 points in 60 days)
     • Timeline of decline:
       • 65 days ago: Key champion (Sarah, PM) left company (LinkedIn job change detected)
       • 50 days ago: Last product login
       • 45 days ago: Last Slack message
       • 30 days ago: Support ticket (unresolved bug causing frustration)
     • Insight: Champion left → no internal advocate → unresolved bug → product abandoned

6. Execute Rescue Plan:

   • CSM reaches out to new PM at Acme Corp: "Hi [New PM],

     I noticed Sarah (your predecessor) was a big [Product] user, but activity dropped off recently. Want to make sure you're set up for success!

     I also saw an open support ticket about [Bug]—our eng team prioritized the fix and it's shipping next week. Can I schedule 30 minutes to:

     1. Walk you through the product (onboard you as new PM)
     2. Show you the bug fix
     3. Discuss any other blockers?

     We really value Acme as a customer—let's make sure [Product] is working for your team."

7. Track Rescue Success:

   • New PM responds positively (70% response rate on churn-risk outreach vs 40% cold CS check-ins)
   • CSM onboards new PM, resolves bug, shares new features
   • Acme Corp re-engages: 15 logins in next 30 days, asks 3 questions in Slack, score climbs to 68
   • Renewal secured (vs 80% churn rate for customers who hit 60-day inactivity threshold)

Results: Churn Prevention using Common Room:

• 23 at-risk customers identified proactively (vs 8 identified reactively by manual CS checks)
• 19 of 23 CSMs reached out within 48 hours (vs 7-10 day avg CS response time previously)
• 15 customers re-engaged (score increased 20+ points post-outreach)
• 13 renewals secured (out of 15 re-engaged = 87% rescue rate)
• $780K ARR saved (avg customer value: $60K ARR)

Comparison:

• Before Common Room: 8 churn risks identified → 3 rescued → 5 churned = 38% rescue rate
• After Common Room: 23 churn risks identified → 13 rescued → 10 churned = 57% rescue rate (50% improvement)

Pro Tips:

• Set up weekly CSM digest: "5 new churn risks this week—prioritize outreach"
• Track WHY customers disengage (champion left, unresolved bug, competitor switch)—fix root causes
• Build "Expansion Opportunity" segment (opposite of churn risk): Highly engaged customers ready for upsell

Use Case 4: Event-Driven Engagement (Turn Webinar Attendees into Pipeline)

Scenario: Your company hosts monthly webinars attracting 200-300 registrants per event. Historically, 40% attend live, but there's no systematic follow-up—webinar attendees fall into a black hole. You want to identify which attendees are high-intent prospects worth sales outreach.

Step-by-Step Workflow:

1. Connect Event Platform:

   • Common Room → Integrations → Connect Zoom/Hopin/Eventbrite
   • Sync webinar registration, attendance, engagement (Q&A questions, polls, watch time)

2. Host "Enterprise Security Best Practices" Webinar:

   • 280 registrants
   • 120 attended live (43% attendance rate)
   • Common Room automatically creates member profiles for all 280 registrants
   • Enriches profiles with:
     • Existing community engagement (if they're already Slack/GitHub members)
     • Product usage data (if they're free-tier users)
     • LinkedIn data (company, job title, seniority)

3. Segment Webinar Attendees by Intent:

   • Common Room → Segments → Create "High-Intent Webinar Attendees"
   • Filters:
     • Attended "Enterprise Security" webinar (120 attended)
     • AND one of:
       • Asked question in Q&A (20 people—explicit interest)
       • Watched 80%+ of webinar (45 people—high engagement)
       • Already a community member with score >50 (15 people—warm leads)
       • Works at company with 5+ other attendees (8 companies—organizational interest)
   • Results: 62 high-intent attendees (out of 120)

4. Prioritize by Combined Signals:

   • Sort by engagement score + webinar participation
   • Example: John Smith (Score 84)
     • Webinar: Watched 95% of webinar + asked question: "How do you handle SSO with multiple IdPs?"
     • Slack: Asked 12 questions about enterprise auth in last 60 days
     • Product Usage: Free-tier user, 35 logins/month (power user)
     • Company: Works at Acme Corp (8 Acme employees attended same webinar = organizational buying signal)
     • Insight: John is evaluating enterprise security solutions, his entire team is researching (8 attendees), and he's already a power user—perfect for sales outreach

5. Trigger Automated Follow-Up Workflow:

   • Common Room → Workflows → "Webinar Follow-Up"
   • Trigger: Attended webinar + (Asked Q&A question OR Watched 80%+ OR Score >70)
   • Actions:

     1. Create Salesforce Lead (tag: "High-Intent Webinar—Enterprise Security")

     2. Send personalized email within 24 hours: "Hi John,

        Thanks for attending our Enterprise Security webinar! I saw your question about multi-IdP SSO—great question. We actually handle this natively in our Enterprise plan with [specific feature].

        I noticed you've been active in our community and using the free tier (35 logins/month!). It looks like your team at Acme is evaluating enterprise auth (8 colleagues attended the webinar). Happy to set up a demo specifically focused on your multi-IdP use case?

        [Calendar link]"

     3. Notify assigned AE via Slack: "Hot lead from webinar: John at Acme Corp (8 team members attended, asked about SSO, score 84)"

6. Track Webinar → Pipeline Conversion:

   • 280 registrants
   • 120 attended (43%)
   • 62 high-intent (52% of attendees)
   • 38 replied to follow-up email (61% reply rate)
   • 18 demos booked (47% of replies)
   • 9 closed deals ($405K total ACV, avg deal $45K)
   • ROI: $405K revenue from single webinar (vs <$50K historical webinar ROI without systematic follow-up)

7. Optimize Future Webinars:

   • Common Room analytics show:
     • Best question for identifying high-intent: Questions about "SSO," "compliance," "enterprise" (90% of askers converted to demos)
     • Best attendance signal: Watched 80%+ + already community member with score >50 = 75% demo booking rate
     • Account breadth: Companies with 5+ attendees had 4x higher close rate ($50K+ deals)
   • Adjust strategy: Design future webinars to encourage Q&A, invite entire teams (offer group discounts), focus on enterprise topics

Results: Event-Driven Engagement using Common Room:

• 62 high-intent leads identified (vs 0 leads from previous webinars without follow-up system)
• 61% reply rate on contextual follow-up emails (referencing webinar question + community activity)
• 18 demos booked (vs 2-3 demos from previous webinars without Common Room)
• 9 closed deals, $405K ARR (vs <$50K historical webinar ROI)

Pro Tips:

• Follow up within 24 hours while webinar is fresh in prospect's mind
• Reference specific Q&A question or poll response in follow-up email (proves you paid attention)
• Target companies with 5+ attendees for enterprise sales—breadth = organizational interest

Use Case 5: Competitive Intelligence (Identify Prospects Evaluating Competitors)

Scenario: Your sales engagement platform competes with Outreach and Salesloft. You want to identify prospects actively evaluating competitors in your Slack community, on LinkedIn, or Reddit—allowing you to position your product as a better alternative before they make a decision.

Step-by-Step Workflow:

1. Set Up Keyword Monitoring:

   • Common Room → Settings → Keywords
   • Add competitor-related keywords to monitor across Slack, LinkedIn, Reddit, Twitter:
     • "Outreach"
     • "Salesloft"
     • "Outreach vs Salesloft"
     • "Outreach alternative"
     • "sales engagement platform"
     • "best cold email tool"

2. Monitor Community & Social for Competitive Signals:

   • Common Room tracks all connected sources 24/7

   • Example Signal—Slack:

     • Member posts: "Anyone using Outreach? How's the deliverability? Considering switching..."
     • Common Room flags this as competitive keyword match

   • Example Signal—LinkedIn:

     • Member posts: "Evaluating sales engagement platforms—Outreach vs Salesloft vs others. What do you use?"
     • Common Room detects via LinkedIn monitoring

   • Example Signal—Reddit (r/sales):

     • Member asks: "Outreach is too expensive for our 10-person team. Alternatives?"
     • Common Room tracks Reddit activity for members who've connected LinkedIn

3. Build "Competitive Eval" Segment:

   • Common Room → Segments → Create "Competitive Evaluation"
   • Filters:
     • Mentioned competitors in Slack, LinkedIn, or Reddit in last 30 days
     • AND one of:
       • Engagement score >50 (warm community member)
       • Asking questions about pricing, features, integration (buying intent)
       • Works at company with 5+ engaged members (organizational evaluation)
   • Results: 34 members actively evaluating competitors

4. Prioritize by Intent Strength:

   • Review each member's Common Room profile
   • Example: Sarah Johnson (Score 72)
     • Slack (7 days ago): "We're on Outreach but deliverability dropped to 65%. Anyone tried [Your Product]?"
     • LinkedIn (14 days ago): Commented on competitor's post: "Outreach pricing is getting ridiculous"
     • Product Usage: Free-tier user, 25 logins/month
     • Insight: Sarah is frustrated with Outreach (deliverability issues + pricing complaints) and explicitly asked about your product in Slack—hot competitive displacement opportunity

5. Trigger Competitive Displacement Workflow:

   • Common Room → Workflows → "Competitive Displacement"
   • Trigger: Member mentions competitor keywords + Engagement score >60
   • Actions:
     1. Create Salesforce Lead (tag: "Competitive Displacement—Outreach")
     2. Notify competitive sales specialist via Slack: "Hot competitive lead: Sarah at [Company] frustrated with Outreach deliverability + pricing—asked about us in Slack"
     3. Auto-send helpful response in Slack (sales rep manually sends to appear personal): "Hey Sarah! Saw your question about [Product]. Happy to share how we help teams migrate from Outreach—many see deliverability improve 15-25% (we have better sending infrastructure) and save 40% on costs (flat-fee model vs per-user). Want to hop on a quick call? Here's my calendar: [link]"

6. Execute Competitive Sales Play:

   • Sales rep reaches out within 4 hours (speed matters in competitive evals)

   • References Sarah's exact pain points from Common Room profile: "Hey Sarah,

     Following up on your Slack question—I saw you mentioned Outreach's deliverability dropped to 65% and pricing is a concern. We hear this a lot from Outreach users.

     Quick context: Our customers switching from Outreach typically see:

     • Deliverability: 80-85% inbox placement (vs 60-70% on Outreach) due to our proprietary sending infrastructure
     • Pricing: 40-50% cost savings (flat-fee model: $99/mo unlimited sending vs Outreach's $100/user/mo)
     • Migration: 2-week migration timeline (we handle CSV import, template recreation, training)

     Here's a case study from [Similar Company] that made the switch last quarter: [link]

     Worth a 20-min call this week? Happy to show you exactly how deliverability would improve for your team."

7. Track Competitive Win Rates:

   • 34 competitive eval leads identified
   • 29 reached out via Slack/email (85% outreach rate within 24 hours)
   • 21 replied (72% reply rate—hyper-contextual outreach)
   • 14 demos booked (67% of replies)
   • 8 closed deals ($480K total ACV, avg deal $60K)
   • Win rate: 57% (8 wins out of 14 demos) vs 18% baseline cold competitive

Results: Competitive Intelligence using Common Room:

• 34 competitive eval prospects identified (vs 0 without social/community monitoring)
• 72% reply rate (contextual outreach referencing exact pain points)
• 57% win rate on competitive deals (vs 18% cold competitive baseline)
• $480K ARR from competitive displacement in single quarter

Pro Tips:

• Respond within 4 hours when prospect mentions competitor—competitive evals move fast
• Reference exact pain points from Common Room profile ("I saw you mentioned deliverability issues...")
• Offer competitive comparison guides, migration checklists, side-by-side demos (make switching easy)

Pricing Notes

Free Plan Limitations:

• 1 user seat only (no collaboration)
• 1 data source (e.g., Slack only—can't connect GitHub + product analytics + LinkedIn simultaneously)
• 3 basic workflows (limited automation)
• No account-level intelligence (see individual members only, no company clustering)
• Manual engagement scoring (no automated ML scoring)

Team Plan ($625/mo):

• Best for: 5-20 person teams with active community (Slack/Discord + GitHub)
• 3 user seats (Community Manager, Sales Ops, CSM)
• Unlimited data sources (connect all 30+ integrations)
• 10 workflows (automate lead creation, Slack alerts, email triggers)
• Basic engagement scoring with custom weights (adjust formula to your GTM motion)
• Account-level intelligence (cluster members into companies)

Growth Plan ($1,875/mo):

• Best for: 50-200 person teams with mature PLG/community motion
• 10 user seats (expand to sales, CS, marketing teams)
• Unlimited workflows (no caps on automation)
• ML-powered scoring (Common Room learns from your Salesforce/HubSpot data to predict which engagement patterns = pipeline)
• Social media monitoring (LinkedIn, Twitter, Reddit topic tracking)
• Advanced reporting (cohort analysis, conversion funnels, attribution)

Enterprise Plan (Custom, $4K-8K/mo):

• Best for: 200+ person teams, multi-product companies, complex enterprise ABM
• Unlimited seats
• Custom data integrations (bespoke connectors for proprietary tools)
• Dedicated CSM + onboarding
• SLA guarantees (uptime, support response time)
• Custom ML models (train on your specific conversion patterns)
• SSO, advanced security, audit logs

Hidden Costs:

• Implementation: $2,000-5,000 for Growth/Enterprise (onboarding, integration setup, training)
• Data source overages: None (unlimited sources on Team+)
• Additional seats: Team plan = 3 seats included, +$150/mo per additional seat. Growth = 10 seats included, +$100/mo per additional seat.

Volume Discounts:

• Annual prepay: 10-15% discount (pay $6,375 upfront for Team plan vs $7,500 monthly billing)
• Multi-year contract: 20-25% discount (commit 2-3 years)

ROI Calculation Examples

Scenario 1: SMB PLG Company (20-person team, $30K ASP)

• Common Room Investment:

  • Team plan: $625/mo × 12 = $7,500/year
  • 5 SDRs using Common Room to identify warm leads

• Before Common Room:

  • SDRs cold outreach only: 3% reply rate, 0.5% meeting booking rate
  • 50 touches/day × 5 SDRs × 250 days = 62,500 touches/year
  • Meetings booked: 312 (62,500 × 0.5%)
  • Closed deals: 25 (8% close rate) × $30K ASP = $750K revenue

• After Common Room:

  • SDRs prioritize warm leads (community members with score >70): 18% reply rate, 3% meeting booking rate
  • 30 warm touches/day + 20 cold touches/day × 5 SDRs × 250 days = 62,500 total touches (same volume)
  • BUT: 30 warm × 5 × 250 = 37,500 warm touches at 3% booking = 1,125 meetings (vs 312 before)
  • Closed deals: 90 (8% close rate) × $30K ASP = $2.7M revenue

• ROI: $2.7M - $750K = $1.95M incremental revenue - $7.5K investment = 260x ROI

Scenario 2: Mid-Market SaaS (50-person team, $60K ASP)

• Common Room Investment:

  • Growth plan: $1,875/mo × 12 = $22,500/year
  • 15 SDRs + 10 AEs + 5 CSMs using Common Room

• Before Common Room:

  • PLG leads fell into black hole—no systematic follow-up
  • 5,000 free users → 120 converted to paid/year (2.4% conversion) × $60K ASP = $7.2M ARR
  • Churn rate: 18%/year (90 churned customers × $60K = $5.4M churned ARR)

• After Common Room:

  • PLG Conversion: Identified 200 high-intent free users (vs 5,000 cold) → 60 converted (30% conversion) × $60K ASP = $3.6M incremental ARR
  • Churn Prevention: Identified 45 at-risk customers → rescued 28 (vs 10 previously) = 18 additional renewals × $60K = $1.08M ARR saved
  • Total Impact: $3.6M + $1.08M = $4.68M incremental ARR

• ROI: $4.68M incremental ARR - $22.5K investment = 208x ROI (first-year impact)

5-Step Implementation Guide

Step 1: Connect Primary Data Sources (Week 1, 2-3 hours)

Action:

1. Sign up at commonroom.io (Free plan available, no credit card)
2. Common Room → Integrations → Connect top 3-5 sources first:

Priority Sources (Connect First):

• Slack or Discord: Community engagement (messages, reactions, threads)
• GitHub or GitLab: Developer contributions (commits, issues, PRs)
• Product Analytics: Segment, Amplitude, or Mixpanel (product usage, feature adoption)
• CRM: Salesforce or HubSpot (sales pipeline, conversion data for ML scoring)
• LinkedIn: Social engagement (posts, comments, shares)

3. OAuth Authentication:

   • Click "Connect" for each source
   • Authenticate with admin credentials
   • Grant permissions (Common Room needs read access to messages, commits, events)

4. Identity Resolution:

   • Common Room automatically matches members across sources (same email, LinkedIn URL)
   • Review suggested matches and confirm/reject (accuracy >95% typically)

Pro Tip: Start with Slack + GitHub + Salesforce (covers community, developers, and sales conversion data). Add remaining sources after initial setup working.

Common Mistake to Avoid: Don't connect all 30 sources on Day 1—overwhelming setup. Start with 3-5 core sources, add 2-3 more per week.

Step 2: Define ICP & Build First Segment (Week 1, 1-2 hours)

Action:

1. Common Room → Segments → Create New → Name: "High-Intent PLG Leads"
2. Define filters matching your ICP:

Example Segment (SaaS Company, PLG Motion):

• Engagement Score: >70 (highly engaged)
• Product Usage: >15 logins in last 30 days (active free-tier user)
• Community Activity: Asked 3+ questions in Slack OR Contributed 2+ GitHub issues
• Account Size: Company has 3+ engaged members (organizational signal)
• Keywords: Mentioned "upgrade," "pricing," "enterprise," or "paid plan" in any source

3. Review Results:

   • Common Room returns 47 members matching criteria (out of 2,500 community)
   • Manually review top 10 profiles to validate segment accuracy
   • Adjust filters if needed (too broad? Add more criteria. Too narrow? Relax thresholds)

4. Save Segment:

   • Click "Save Segment"
   • Enable "Daily Digest": Receive email each morning with new members entering segment

Pro Tip: Create 3-4 segments: "High-Intent PLG" (score >70), "Warm Nurture" (score 50-70), "Advocates" (score >85 + social advocacy), "Churn Risk" (customers with declining scores).

Step 3: Set Up First Workflow (Sales Lead Creation) (Week 2, 1 hour)

Action:

1. Common Room → Workflows → Create New

2. Name: "Auto-Create Salesforce Leads from High-Intent Members"

3. Trigger:

   • "Member enters segment: High-Intent PLG Leads" (score >70, product usage >15, keywords match)

4. Actions:

   • Action 1: Create Salesforce Lead

     • Map fields:
       • Common Room "Full Name" → Salesforce "Name"
       • Common Room "Email" → Salesforce "Email"
       • Common Room "Company" → Salesforce "Company"
       • Common Room "Engagement Score" → Salesforce custom field "CR_Score__c"
       • Common Room "Top Activity" → Salesforce "Description" (e.g., "Asked about SSO in Slack, contributed 3 GitHub issues")
     • Lead Source: "Common Room—Community PLG"
     • Lead Status: "New—High Intent"

   • Action 2: Send Slack Notification

     • Channel: #sales-leads
     • Message: "🔥 New high-intent lead: [Name] at [Company] (Score: [Score]). Top activity: [Activity Summary]. Salesforce Lead: [Link]"

   • Action 3: Assign to Sales Rep

     • Round-robin assignment to available SDRs
     • OR Assign based on territory (if Common Room detects company location)

5. Test Workflow:

   • Common Room → Workflows → Test
   • Select sample member from "High-Intent PLG" segment
   • Verify Salesforce Lead created correctly + Slack notification sent

Pro Tip: Add 24-hour delay before notifying sales (gives member time to continue engaging—capture MORE context before outreach).

Common Mistake to Avoid: Don't create Salesforce Lead for EVERY community member—only high-intent (score >70). Otherwise, you'll flood CRM with 2,000+ low-quality leads.

Step 4: Train Sales Team on Contextual Outreach (Week 2, 2-hour training)

Action:

1. Schedule training session with SDRs, AEs, Sales Ops
2. Agenda:

Part 1: How to Read Common Room Profiles (30 minutes):

• Demo: Open high-score member profile
• Show activity timeline (Slack messages, GitHub commits, product usage, LinkedIn engagement)
• Explain engagement score (0-100, what each tier means)
• Highlight "Top Activities" summary (e.g., "Asked 12 questions about SSO, attended Enterprise webinar")

Part 2: Contextual Outreach Best Practices (30 minutes):

• Bad: Generic cold email: "Hi [Name], wanted to reach out about [Product]..."
• Good: Contextual email: "Hi [Name], saw you asked about SSO in Slack and contributed GitHub issues requesting RBAC. We just released Enterprise plan with both features. Worth a quick call?"
• Teach reps to reference specific activities (Slack questions, GitHub issues, webinar attendance) in first sentence

Part 3: Common Room → CRM Workflow (30 minutes):

• Show how high-intent members flow from Common Room → Salesforce Lead
• Walk through sample Lead record (see Common Room score, activity summary)
• Explain how to access full Common Room profile from Salesforce (link in Lead description)

Part 4: Hands-On Practice (30 minutes):

• Give each rep 3 sample high-intent leads from Common Room
• Have them craft first outreach email using Common Room context
• Review emails as group, provide feedback

Pro Tip: Create "Outreach Templates by Activity Type" in Common Room:

• Template A: "Asked about SSO in Slack" → Email referencing security features
• Template B: "Hit API rate limit" → Email about paid plan with higher limits
• Template C: "Attended webinar" → Email referencing webinar topic

Step 5: Launch First Campaign & Track Performance (Week 3, ongoing)

Action:

1. Day 1: First Batch Outreach

   • Export 50 high-intent members from Common Room to Outreach/Salesloft
   • SDRs send contextual emails referencing specific Common Room activities
   • Track reply rates, meeting booking rates

2. Week 1: Monitor Performance

   • Common Room Dashboard → Analytics
   • Track:
     • Segment Size: How many members in "High-Intent PLG" segment (target: grow 10-20/week)
     • Workflow Triggers: How many Salesforce Leads auto-created (should match segment additions)
     • Sales Outreach: How many Leads contacted by SDRs (goal: 100% within 48 hours)
     • Reply Rates: Target 15-25% for high-intent (vs 3-5% cold baseline)
     • Meeting Booking Rate: Target 3-5% (vs 0.5-1% cold baseline)

3. Week 2-4: Iterate Based on Data

   • If reply rate <10%: Revisit segment criteria (score threshold too low?) or improve email personalization (not contextual enough?)
   • If segment too small (<10 new members/week): Relax filters (lower score threshold from 70 → 60) OR add more data sources (not capturing full engagement)
   • If segment too large (>50 new members/week): Tighten filters (increase score threshold to 75-80) OR add keyword requirements

4. Month 1: Full Rollout

   • Scale from 50 → 200 high-intent members contacted/month
   • Add second workflow: "Churn Risk" for CS team
   • Add third workflow: "Advocate Identification" for marketing team

Common Mistakes to Avoid:

• Mistake: SDRs don't reference Common Room context in outreach (defeats the purpose)
  • Fix: Make Common Room profile review MANDATORY before sending email (checklist: What's their top activity? What question did they ask?)
• Mistake: Sales outreach delayed 5-7 days after member hits high-intent threshold
  • Fix: Set up Slack alerts for real-time notifications, target <24 hour outreach on scores >80

Official Common Room Resources

Documentation & Learning:

• Common Room Help Center: https://help.commonroom.io (searchable knowledge base)
• Video Tutorials: https://www.youtube.com/@commonroom (20+ how-to videos)
• Common Room Academy: Free certification course on community intelligence

Product Updates:

• Common Room Blog: https://www.commonroom.io/blog (weekly updates, case studies, best practices)
• What's New: https://www.commonroom.io/changelog (product changelog)
• Release Notes: Sent via email monthly

Community & Support:

• Common Room Slack Community: Join at commonroom.io/community (300+ community-led growth practitioners)
• Live Chat Support: Available in-app on Team+ plans
• Email Support: support@commonroom.io (24-48 hour response on Team, <12 hours on Growth+)

Works Best With

CRM Platforms:

• Salesforce (Native integration—bi-directional sync, auto-enrichment, workflow triggers)
• HubSpot (Native integration—contact enrichment, workflow automation, scoring)
• Pipedrive (Via Zapier—push high-score members to pipeline)

Sales Engagement Platforms:

• Outreach (Export Common Room leads → Outreach sequences with contextual data)
• Salesloft (Export leads → Salesloft cadences)
• Instantly (Use Common Room leads + Instantly's email infrastructure for deliverability)
• Lemlist (Export leads → Lemlist multi-channel sequences)

Data Enrichment:

• Clearbit (Enrich Common Room profiles with firmographic data—revenue, employee count, industry)
• FullEnrich (Waterfall append emails/phones to high-score members missing contact data)

Intent & Signal Intelligence:

• 6sense (Layer anonymous web intent on top of Common Room's known engagement signals)
• Bombora (Combine B2B intent network with Common Room community signals)

Cold Outbound (Complementary):

• Apollo (Use Common Room for warm community leads + Apollo for net-new cold prospecting)
• ZoomInfo (Common Room tracks engagement, ZoomInfo provides contact database for cold outreach)

Recommended Stacks

Stack 1: PLG Startup ($1,200/mo for 5-person team)

• Common Room Team ($625/mo) — Community intelligence + warm leads
• Apollo Professional ($79/mo × 5 = $395/mo) — Cold database for net-new prospecting
• Instantly Growth ($37/mo) — Email sending infrastructure
• HubSpot Starter ($45/mo × 5 = $225/mo) — CRM
• Total: $1,282/month for 5 reps

Stack 2: SMB Community-Led Growth ($3,500/mo for 15-person team)

• Common Room Growth ($1,875/mo) — Advanced signal intelligence + ML scoring
• Outreach ($100/mo × 15 = $1,500/mo) — Email sequences + cadences
• Clearbit Enrichment ($500/mo) — Firmographic data enrichment
• Salesforce Professional ($75/mo × 15 = $1,125/mo) — CRM
• Total: $5,000/month for 15 reps

Stack 3: Mid-Market PLG + ABM ($10K/mo for 30-person team)

• Common Room Enterprise ($6,000/mo) — Comprehensive community intelligence, unlimited seats
• 6sense ($5,000/mo) — Anonymous intent data for cold accounts
• Outreach ($100/mo × 30 = $3,000/mo) — Sales engagement
• Salesforce Enterprise ($150/mo × 30 = $4,500/mo) — CRM
• Total: $18,500/month for 30 reps

Stack 4: Developer-First PLG ($2,000/mo for 10-person team)

• Common Room Team ($625/mo) — GitHub + Slack community intelligence
• Apollo Professional ($79/mo × 10 = $790/mo) — Cold prospecting supplement
• Instantly Hyper Growth ($358/mo) — High-volume email infrastructure
• HubSpot Sales Pro ($90/mo × 10 = $900/mo) — CRM
• Total: $2,673/month for 10 reps

Integration Partners

Native Integrations (No-Code Setup):

• Slack, Discord, Circle, Discourse (community platforms)
• GitHub, GitLab (developer contributions)
• Salesforce, HubSpot, Pipedrive (CRMs)
• Segment, Amplitude, Mixpanel (product analytics)
• Zendesk, Intercom (support)
• LinkedIn, Twitter/X, Reddit (social media)
• Hopin, Zoom, Eventbrite (events)
• Mailchimp, HubSpot Marketing (email)

API Integrations (Developer Required):

• Custom community platforms (via Common Room API)
• Proprietary product analytics tools
• Custom internal tools

Workflow Partners:

• Zapier: 1,000+ app integrations ("Common Room score >80 → Create SF Lead → Notify Slack")
• Make: Complex multi-step workflows with conditional logic