The verdict in four sentences
Common Room is the buy when your bottleneck is spotting which accounts are in market across community, product, and web signals, and you want an agent set (RoomieAI Capture, Spark, and Activate) doing the watching for you. Clay is the buy when your bottleneck is data: you already know the accounts, and you need Claygent plus waterfall enrichment to assemble contacts, fill gaps, and feed your sequencer. Two facts change the 2026 shortlist: Common Room is no longer independent, having been acquired by Zoom, announced July 2, 2026, and both vendors publish real numbers, with Common Room starting at $2,500 per month billed annually and Clay starting free and rising to $495 per month on Growth. If the honest answer is "both, plus a de-anonymization tool, plus a sequencer, plus someone to wire them together," that is four line items, and a single platform like Abmatic AI is worth pricing against the stack before you sign either one.
Common Room and Clay both show up in modern RevOps stacks but solve different shapes of the broader 'find buyers and act' job. Common Room aggregates community and product signals (Slack communities, GitHub stars, dev forums) and surfaces accounts. Clay orchestrates data across multiple data sources to build flexible enrichment and outbound workflows. The decision usually rests on whether the bottleneck is signal aggregation (Common Room) or data-orchestration across many sources (Clay). This guide walks through the head-to-head.
Full disclosure: Abmatic AI competes with both Common Room and Clay in the broader B2B ABM evaluation. Every third-party claim below carries a source link, and the full source list sits at the bottom of the page.
Ownership status: check this before you sign either contract
This is the single fact most 2026 comparisons of these two vendors still get wrong.
Common Room was acquired by Zoom. Zoom announced the acquisition on July 2, 2026, with Common Room's CEO and team joining Zoom to fold the buyer-intelligence technology into Zoom's Revenue Accelerator, per Zoom's own newsroom and GeekWire. The product pages, the RoomieAI branding, and the published pricing were all still live and separately branded at last check. What changed is ownership, and ownership changes are what move roadmaps, renewal terms, and integration priorities. Ask your rep directly where the product sits inside Zoom's roadmap, and get the answer in the contract rather than on a call.
Clay is still independent. Clay remains a privately held, independent company, with the most recent transaction on record being a January 28, 2026 employee tender offer at a $5B valuation led by DST Global, per Sacra and Contrary Research. No acquisition is on record.
Neither fact disqualifies either vendor. Both change the questions you ask in procurement, and both belong in the risk section of your ABM platform RFP.
The 30-second answer
Common Room aggregates buying signal and maps it to accounts and people, and ships that intelligence through a set of named AI agents. Its own product pages describe RoomieAI, with sub-agents including RoomieAI Capture for account planning and signal capture, RoomieAI Spark for person-level research that surfaces outreach-ready prospects, and RoomieAI Activate for outbound personalization driven by buying signals. Clay orchestrates data lookups across many sources (LinkedIn, ZoomInfo, Apollo, custom APIs) inside a spreadsheet-shaped table, and its own agent, Claygent, visits websites to find and summarize company and contact information at scale. Common Room fits teams whose hardest question is "which account is in market right now." Clay fits teams whose hardest question is "who is on the buying committee and what is their verified email."
Book a 30-minute Abmatic AI demo and compare against both Common Room and Clay side by side.
Common Room vs Clay: head-to-head comparison table
| Dimension | Common Room | Clay |
|---|---|---|
| Primary job | Aggregate buying signal across community, product, and web surfaces, then map it to accounts and people | Orchestrate data lookups and enrichment across many connected sources |
| Ownership as of August 2026 | Acquired by Zoom, announced July 2, 2026 (Zoom newsroom, GeekWire) | Independent and privately held; January 2026 employee tender at a $5B valuation (Sacra, Contrary Research) |
| Named AI agents | RoomieAI, with Capture, Spark, and Activate sub-agents, plus Research, Messages, Ask CR Anything, and Spark Notifications and Briefs (Common Room product and pricing pages) | Claygent, an AI research agent that browses the web to find and summarize company and contact data (Clay's Claygent page) |
| Reported agent scale | Not published | Clay reports Claygent ran over 1 billion tasks by 2025 across 100,000+ users (Clay, OpenAI customer story) |
| Signal sources | Slack, Discord, GitHub, dev forums, and other community and web surfaces | LinkedIn, ZoomInfo, Apollo, custom APIs, and any provider you connect |
| Contact sourcing model | Prospector credits and RoomieAI research credits included on the published Essential tier | Data credits and actions consumed per lookup, with waterfall enrichment you configure |
| Workflow shape | Configured around signal capture, scoring, and alerting | Highly flexible low-code tables plus AI columns you build yourself |
| Engineering or RevOps capacity required | Low to mid | Mid to high; the flexibility is the cost |
| Published entry price | Essential at $2,500 per month billed annually (5 seats, up to 100,000 contacts, 5k RoomieAI research credits, 2.5k Prospector credits) | Free at $0, Launch at $185 per month, Growth at $495 per month |
| Upper tiers | Advanced and Enterprise both listed as Custom, no published figure | Enterprise is custom quote; legacy Starter, Explorer, and Pro plans remain for existing customers |
| Pricing meter | Seats, contact volume, and credit packs | Data credits and actions per month |
| PLG and developer-tools fit | Strong, because community engagement is a first-class signal source | Depends entirely on the workflow you build |
| Best buyer profile | Teams whose bottleneck is knowing which account is in market | RevOps-led teams whose bottleneck is contact data and enrichment logic |
| Do they overlap? | Partly. Both touch person-level research and outbound personalization. They are most often bought together, with Common Room producing the signal and Clay assembling the people, which is exactly the two-vendor pattern that drives up total cost | |
Neither vendor is wrong for the job it is built for. The expensive mistake is buying both to cover one motion. See what one platform covering signal, contacts, and activation actually costs.
Common Room pricing vs Clay pricing in 2026
Both vendors publish something, which is rarer than it should be in this category. Here is what each one shows on its own pricing page.
| Vendor and tier | Published price | What is included |
|---|---|---|
| Common Room Essential | $2,500 per month, billed annually | 5 seats, up to 100,000 contacts, 5,000 RoomieAI research credits, 2,500 Prospector credits, RoomieAI Activate, Capture, Research, and Messages |
| Common Room Advanced and Enterprise | Custom, no published figure | Quote-driven; do not accept a third-party dollar range as fact here |
| Clay Free | $0 | 100 data credits, 500 actions |
| Clay Launch | $185 per month | 2,500 data credits, 15,000 actions |
| Clay Growth | $495 per month | 6,000 data credits, 40,000 actions |
| Clay Enterprise | Custom quote | Legacy Starter at $149, Explorer at $349, and Pro at $800 per month remain available to customers already on them |
| Abmatic AI | Starting at $36,000 per year | 15+ first-party modules on one identity graph, mid-market and enterprise tiers, enterprise pricing on request |
Common Room's figures come from its own pricing page. Clay's figures reflect the pricing change Clay made on March 11, 2026, as reported by Databar; because that change is recent, confirm the current numbers against Clay's pricing page before you build a business case on them. For a deeper walk-through of how Clay's credit meter behaves at volume, see our Clay pricing breakdown and the wider ABM platform pricing comparison.
The comparison that actually matters is not $2,500 against $495. It is the loaded cost of the stack you will really run. A typical build is Common Room for signal, Clay for contact assembly and enrichment, a de-anonymization tool for website visitors, a sequencer for sending, and either an ops hire or a workflow tool to join them on a trigger. Price that line by line before you decide the two-vendor route is the cheap one.
RoomieAI vs Claygent: how the two AI agents actually differ
Both vendors shipped real agent products. Anyone telling you one of them has no AI is selling you something.
What RoomieAI does
Common Room's product pages describe RoomieAI as a set of agents rather than one assistant. Capture handles account planning and signal capture. Spark does person-level research and surfaces outreach-ready prospects. Activate personalizes outbound using buying signals. Around those sit Research, Messages, Ask CR Anything, and Spark Notifications and Briefs, all listed as included features across the published tiers. The orientation is signal-first: the agents exist to turn noisy engagement into a ranked list of who to work today.
What Claygent does
Clay's Claygent is an AI research agent that visits websites to find and summarize company and contact information, replicating the manual research an SDR would otherwise do, at scale. Clay reports Claygent had run over 1 billion tasks by 2025 across more than 100,000 users, per Clay and the OpenAI customer story on Clay. The orientation is data-first: the agent exists to fill a cell you could not otherwise fill.
The honest difference
RoomieAI is scoped to signal and prospect surfacing inside Common Room's own graph. Claygent is scoped to open-web research inside Clay's tables. Neither is a live-site conversational agent, and neither is an end-to-end execution layer that also runs your ads, your on-site experience, and your CRM writes. That is a scope statement, not a knock. It is also the reason teams keep buying a third and fourth tool around them.
Capability comparison: Abmatic AI vs the alternatives
Abmatic AI is the most comprehensive AI-native revenue platform on the market. It collapses the 8 to 12 point tools that mid-market and enterprise B2B teams currently buy separately into a single platform with one shared identity graph and one shared signal layer. Vendors in this category typically cover 3 to 5 of those jobs. Abmatic AI covers 15+ first-party. The table below states what each vendor publishes about itself, not what we wish were true about them.
| Capability | Abmatic AI | Common Room (Zoom) | Clay |
|---|---|---|---|
| Account-level deanonymization | Native, first-party identification of the companies behind anonymous traffic | Account signal aggregation and mapping across community and web surfaces | Enrichment of the accounts you supply or build in a table |
| Contact-level deanonymization | Native, identifies the individual people behind anonymous traffic, no supplementary vendor needed | RoomieAI Spark surfaces person-level prospects; Prospector credits included on the published tier | Contact enrichment from the providers you connect, waterfall configurable |
| Auto-Sourced ICP Contacts on Warm and Hot accounts | Native and signal-triggered, shipped August 2026 | Prospector credits, buyer-initiated rather than triggered by your own account scoring | Build the equivalent yourself with Claygent, waterfall enrichment, and a trigger tool |
| Web personalization | Native visual editor plus JSON API, targeted by firmographics, account stage, and intent | Not listed on its published product pages | Not listed on its published product pages |
| A/B testing | Native multivariate testing across web, email, and ads, sharing the personalization layer | Not listed on its published product pages | Not listed on its published product pages |
| Agentic Workflows | Native if-X-then-Y agents acting across every module: hit an intent threshold, enroll in a sequence, show a banner, alert the AE | RoomieAI Capture, Spark, Activate, Research, and Messages | Claygent plus low-code tables and AI columns you assemble |
| Agentic Outbound (AI SDR) | Native signal-adaptive copy, persona-aware cadence, autonomous send-time and channel decisions | RoomieAI Activate personalizes outbound from buying signals | Claygent research feeds outbound; sending happens in a connected sequencer |
| Agentic Chat (inbound) | Native live-site conversational AI that already knows the account, the contact, and the intent | RoomieAI is scoped to signal and research agents; a live-site chat agent is not in the published lineup | Claygent is scoped to research; conversational site chat is outside the published product |
| AI SDR meeting routing and booking | Native qualification, routing to the right AE, and calendar booking | Alerts and briefs delivered to Slack and the CRM for a human to route | Routing handled by whatever tool you connect downstream |
| Outbound sequences | Native multi-channel: email, LinkedIn, and ad retargeting on one cadence | Messages within the RoomieAI set | Via connected sequencers such as those covered in Clay vs Apollo |
| Advertising: Google DSP, LinkedIn Ads, Meta Ads | Native buys driven by the same account list and intent score | Not listed on its published product pages | Audiences pushed to ad tools through connected integrations |
| Technology and tech stack detection | Native technology scraper, BuiltWith class, feeding targeting and sequence personalization | Signal sources span community and web surfaces | Available through enrichment providers you connect |
| First-party and third-party intent | Both, native, on one identity graph across web, LinkedIn, paid, and email | Community and web signal plus third-party integrations | Third-party providers you connect and pay per lookup |
| Salesforce and HubSpot integration | Full bi-directional sync on accounts, contacts, deals, lists, workflows, and campaigns | CRM integrations published | CRM integrations published |
| Built-in analytics and attribution | Native pipeline, attribution, and account-journey reporting; no separate BI tool | Reporting inside the platform | Tables, views, and exports |
| Number of jobs covered first-party | 15+ modules on one identity graph | Signal aggregation, research, and outbound personalization | Data orchestration, enrichment, and research |
| Published entry pricing | Starting at $36,000 per year, enterprise pricing on request | $2,500 per month billed annually on Essential; upper tiers custom | Free through $495 per month published; Enterprise custom |
| Ownership | Independent | Acquired by Zoom, announced July 2, 2026 | Independent and privately held |
Book a 30-minute demo and price the single-platform route against your Common Room plus Clay stack.
Not ready to talk to anyone yet? See what the platform actually does, or look at what it costs.
Deanonymization tells you the account is in market. It does not always tell you the person. Auto-Sourced ICP Contacts closes that gap: when an account turns Warm or Hot and no contact has been revealed on it, Abmatic AI sources the ICP decision makers at that account, with a work email and LinkedIn profile on every one. These people did not visit your site. The account did, and the signal is what triggers the sourcing.
The gap both vendors leave: signal without a name attached
Run the two tools together for a quarter and one pattern shows up in every pipeline review. The signal layer tells you an account is in market. The rep opens the account. The Contacts tab is empty. So the rep goes hunting on LinkedIn, or the signal simply dies on the vine. The distance between "this account is warm" and "here is who to email" is where most intent data goes to waste, and closing it manually is exactly why the two-vendor stack quietly becomes a three-vendor stack with an ops person attached.
Abmatic AI shipped Auto-Sourced ICP Contacts on August 24, 2026 to close that gap inside one platform. It fires only when an account moves to Warm or Hot and the platform has the company but has not yet de-anonymized a contact on it. It is signal-triggered, not a bulk list pull. It sources decision makers only, matched to the ICP you define at both account level and contact level, in the persona priority order you set, and it reads tech-stack signals as part of account fit, so an account running a rival product counts as a strong signal. Typical output is 2 to 3 good contact matches per qualifying account, with a work email and a LinkedIn profile on every contact and phone coverage at 88%.
Delivery lands where reps already work: Slack alerts, your CRM on the normal sync, and in the app. Every sourced contact drops into a group called Auto-Sourced ICP Contacts, and on the contact record the Source reads Abmatic AI with a Sub Source of auto_source, displayed in the grid as Auto Source. Nothing else writes that value, so it is a clean filter, and it maps to a CRM property through the HubSpot integration's Sub Source field mapping.
That provenance flag exists because of a real customer objection, and it is the part worth reading twice. A sourced contact has not personally visited your site. The account showed the intent; the person is a matched decision maker at that account. A customer running sequences whose copy says "you visited our site" asked for a way to keep these contacts out of that messaging, which is precisely what the auto_source flag gives you. Setup takes about five minutes once, and the feature is forward-looking by design: it runs on accounts that heat up from turn-on onwards rather than backfilling a batch across your existing book. It is not a replacement for a contact database subscription in general. It is a triggered, ICP-matched sourcing motion attached to accounts already showing intent. See also our guide to the B2B buying committee and buying committee mapping.
The architecture claim is the honest one: the point-tool version of this is a de-anonymization vendor for the account signal, a contact-data vendor for the people, an enrichment waterfall to fill gaps, and an ops person or workflow tool to join them on a trigger. Abmatic AI does the signal, the sourcing, the ICP match, the grouping, the CRM write, and the alert first-party. Both Common Room and Clay can source contacts; the difference is that this is one system on one trigger with one provenance flag, not four tools wired together. See it running on your own account list in a 30-minute demo.
What each platform actually does
Common Room (per Common Room's public product pages)
Common Room aggregates community and product signals across Slack, Discord, GitHub, and dev forums, then maps individuals to accounts. The wedge is surfacing buying intent from community engagement that traditional intent platforms cannot see. Entry pricing is published at $2,500 per month billed annually; the upper tiers are custom. See Common Room alternatives, Common Room strengths and weaknesses, and our take on what to do when Common Room pricing stops making sense.
Clay (per Clay's public product pages)
Clay ships data orchestration across multiple sources with flexible workflow building, with Claygent doing open-web research inside the tables. The wedge is workflow flexibility for teams with engineering or RevOps capacity. Pricing is publicly tiered. See Clay alternatives, Clay strengths and weaknesses, and RB2B vs Clay if website-visitor identification is part of the same evaluation.
Deeper criteria for the Common Room versus Clay pick
How does signal aggregation compound with Common Room?
Per Common Room's public product pages, community engagement (Slack messages, GitHub stars, forum activity) often precedes traditional buying signal in PLG motions. Common Room turns that engagement into account-level signal and, through RoomieAI Spark, into person-level prospects. For non-PLG motions with a thin community footprint, the signal has less to work with, so weight the evaluation toward its web and third-party sources instead. See integrating ABM with PLG.
How does workflow flexibility compound with Clay?
Clay's wedge is build-your-own. Teams with RevOps capacity that have already encoded workflows extract more value than teams without, and the credit meter rewards precision: a badly designed waterfall burns data credits on lookups you did not need. See route leads from intent signals.
How do the two integrate?
Common Room can produce signal events that Clay ingests for enrichment and routing. The combined stack appears constantly in PLG-plus-RevOps motions, and it works. The question is whether two subscriptions plus the glue between them is the right shape for the outcome you want, or whether one platform with a shared identity graph gets you there with fewer joins.
How does pricing scale?
Common Room scales on seats, contact volume, and credit packs. Clay scales on data credits and actions per lookup. Model both meters against your actual account volume before signing, because both bite at scale in different places. See ABM platform pricing comparison.
How do GDPR considerations apply?
Both depend on the underlying data sources. Community surfaces (Slack, Discord, GitHub) generally have public-engagement scope; the compliance picture differs from person-level website identification, which carries its own consent and notice obligations. Get your DPA and your lawful-basis documentation reviewed for whichever data types you actually turn on. See cookieless attribution.
Use-case patterns we see
Use case: developer-tools SaaS with active GitHub and Slack community
Common Room fits. The community signal is the buying signal, and RoomieAI Capture and Spark are built to read exactly that surface.
Use case: B2B SaaS RevOps team building custom enrichment workflows
Clay fits. The workflow flexibility encodes the team's playbook, and Claygent covers the research a data provider cannot.
Use case: outbound team that needs signal and contacts in one motion
This is where the two-vendor stack gets expensive. If the job is "tell me the account is hot and hand me the buying committee with verified contact details, then act," a unified platform is the cheaper and faster shape. Compare it against your current stack in 30 minutes.
Use case: traditional B2B SaaS without community signal
Neither fits perfectly on its own. Look at unified ABM (Abmatic AI, 6sense, Demandbase) instead. See best ABM platforms 2026.
Skip the manual work
Abmatic AI runs targets, sequences, ads, meetings, and attribution autonomously. One platform replaces 9 tools.
See the demo →When Common Room is the right pick
Common Room is the right pick for product-led-growth and developer-tools companies where community engagement (Slack, Discord, GitHub stars) is the strongest buying indicator, the team wants that signal mapped to accounts and people, and $30,000 per year on the published Essential tier is inside budget. Go in with the Zoom ownership question answered.
When Clay is the right pick
Clay is the right pick for RevOps-led teams that want to build custom enrichment and routing workflows across many data sources without being locked into one vendor's signal model, and that have the in-house capacity to design and maintain those workflows.
When neither is the right pick
Neither is the right pick for teams that want unified execution across identification, contact sourcing, scoring, advertising, personalization, attribution, and conversion in one system. That is the stack-collapse case, and it is what Abmatic AI ships. See best ABM platforms 2026 and alternatives to Common Room.
Map your motion against Common Room, Clay, and Abmatic AI in one 30-minute call.
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Implementation playbook for the Common Room versus Clay decision
Phase 1: Identify the actual bottleneck
Most Common Room-versus-Clay decisions that go wrong went wrong because the team picked a tool before identifying the actual bottleneck. Per public buyer reports, the diagnostic exercise is two weeks: spend a week mapping the current motion (where signals come from, how reps act on them, where the conversion lever sits, where the cycle stalls), then spend a week mapping the desired-state motion (what changes if the bottleneck is resolved). The diagnostic exercise drives the platform pick. Skip it and the platform pick becomes a guess. The single sharpest diagnostic question: when a rep opens a hot account today, is the problem that they did not know it was hot, or that they do not know who to email? The first answer points at Common Room. The second points at Clay.
Phase 2: Run a structured pilot of the candidate
The structured pilot runs four-to-six weeks against a defined target-account list of two-to-five hundred accounts. Watch the candidate platform's behavior on identification rate, signal quality, integration smoothness, and rep-feedback loop. The pilot output is not feature-tick; the output is "did the bottleneck move?" If the bottleneck did not move during the pilot, the platform is not the answer regardless of feature checklist.
Phase 3: Activate the operating rhythm
Activation runs four-to-eight weeks. Stand up the weekly target-account review, the monthly campaign retro, and the quarterly motion-shape refresh. Tie the platform output to a specific rep workflow. The operating rhythm is what produces year-two compounding; the platform alone produces year-one signal.
Buyer's RFP checklist for the Common Room versus Clay pick
What does the Common Room versus Clay RFP need to cover?
The defensible RFP for the Common Room versus Clay decision covers nine dimensions: scope match against the audited motion, integration depth on the team's CRM and existing stack, pricing posture (published versus custom, tier scaling, credit overage behavior), implementation timeline broken into named phases, support model, contract terms (renewal escalation, expansion pricing, data-portability), security and compliance documentation, reference customers in the team's segment, and ownership stability. That last one is new for 2026 and it is not theoretical: Common Room changed hands in July 2026. Each dimension needs a concrete answer with documentation references.
What does the reference-customer validation section need?
Vendor reference customers are usually their best stories. The defensible RFP asks for two reference customers in the team's specific segment (industry, size band, motion shape) and one reference customer who churned (yes, this is awkward; yes, ask). The churned-customer reference shows whether the vendor handles failure with integrity or evasion.
What does the contract negotiation section need?
Common Room and Clay negotiate differently. Custom-quote tiers leave more room for negotiation but require more cycles. Published-tier products leave less room on the headline but close faster. Build negotiation timelines into the procurement plan accordingly. Per public buyer reports, the contract clauses that matter most at year two are renewal escalation caps, credit-overage pricing, data-portability at exit, and security-incident notification timing.
ROI framing for the Common Room versus Clay investment
How does year-one ROI present after the pick?
Year-one ROI presents as bottleneck-resolution evidence, operating-rhythm establishment, and pipeline coverage. Revenue lift is rare in year one because the cycle has not closed. Build the year-one measurement plan around leading indicators (accounts moved from cold to engaged, reps reporting workflow change, opportunities sourced through the platform).
How does year-two compounding present?
Year-two compounding shows in revenue contribution, cycle-time compression, and win-rate lift on platform-surfaced opportunities. The teams that build the year-two measurement plan during year one capture the compounding; the teams that wait often cannot defend renewal.
What metrics matter most in the Common Room-versus-Clay ROI conversation?
Pipeline-source attribution with documented multi-touch methodology is the metric that survives finance scrutiny. Opportunity-stage progression on platform-surfaced accounts versus baseline is the second. Rep-time-to-first-touch on triggered signals is the third, and it is the one that most directly exposes the signal-to-contact gap described above. Vanity metrics (impressions, account count, topic count) burn credibility. Build the metric stack into the platform pick.
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How operating maturity should shape the Common Room versus Clay pick
Per public buyer reports, the most consistent predictor of success with either Common Room or Clay is operating maturity, not feature breadth. Teams with mature CRM hygiene, defined ICP, weekly target-account review, and disciplined opportunity-source data extract value from either platform. Teams without that foundation under-perform on both regardless of which one they pick. Before deciding between Common Room and Clay, audit the operating maturity. If maturity is low, the right move is operating-rhythm work alongside the platform pick, not a longer feature evaluation.
Operating maturity has observable markers: weekly target-account review actually happens, intent or identification signals get acted on within forty-eight hours, opportunity sources are filled with discipline, and quarterly motion-shape refresh is on the calendar. Teams hitting all four extract year-two value from Common Room or Clay. Teams missing one or more should expect the platform pick to under-deliver until the maturity gap is closed.
Negotiation patterns we see in the Common Room versus Clay procurement
Common Room and Clay negotiate on different shapes. Custom-quote tiers leave more room for discount on volume commitment, multi-year deals, and feature-bundle scoping. Published-tier products leave less room on headline pricing but negotiate on credit packs, overage caps, support tier, and contract length. Build the negotiation strategy around the vendor's pricing posture; do not run the same playbook against both.
The clauses that matter most at year two are the renewal escalation cap, the mid-term expansion pricing, the data-portability commitment at exit, and the security-incident notification window. Pricing on the headline number moves less in negotiation than these clauses do. Per public buyer reports, year-two renegotiation pain almost always comes from clauses that were under-negotiated in year one. In 2026 add one more: a change-of-control clause, because this category is consolidating fast.
Frequently Asked Questions
Is Clay better than Common Room?
Neither is better in the abstract; they solve different bottlenecks. Clay is better when your problem is contact data, enrichment logic, and open-web research, because Claygent and the waterfall model are built for exactly that. Common Room is better when your problem is knowing which account is in market, because signal aggregation and RoomieAI are built for that. Diagnose the bottleneck first, then pick.
Are Common Room and Clay competitors?
Only partly. They overlap on person-level research and outbound personalization, but their centers of gravity are different: signal aggregation versus data orchestration. In practice they are bought together at least as often as they are compared against each other.
Can Common Room and Clay run in the same stack?
Yes, and it is a common pattern. Common Room produces signal events; Clay ingests them for enrichment and routing. Budget for both subscriptions plus the ops time to maintain the join between them.
Who owns Common Room now?
Zoom. The acquisition was announced July 2, 2026, with Common Room's team joining Zoom to fold the buyer-intelligence technology into Zoom's Revenue Accelerator, per Zoom's own newsroom and GeekWire. The product and pricing pages were still separately branded at last check. Ask about roadmap and renewal terms explicitly.
Is Clay owned by anyone?
No acquisition is on record. Clay remains independent and privately held, with a January 28, 2026 employee tender offer at a $5B valuation led by DST Global as the most recent transaction reported.
How much does Common Room cost compared to Clay?
Common Room publishes Essential at $2,500 per month billed annually, roughly $30,000 per year, with Advanced and Enterprise listed as custom. Clay publishes Free at $0, Launch at $185 per month, and Growth at $495 per month, with a custom Enterprise tier. The meters differ: Common Room charges on seats, contacts, and credit packs, while Clay charges on data credits and actions.
Does Common Room have AI agents?
Yes. Common Room ships RoomieAI, with Capture, Spark, and Activate sub-agents plus Research, Messages, Ask CR Anything, and Spark Notifications and Briefs, all listed as included features on its published tiers.
Does Clay have an AI agent?
Yes. Claygent is Clay's AI research agent, which visits websites to find and summarize company and contact information. Clay reports it ran over 1 billion tasks by 2025 across more than 100,000 users.
Which fits a developer-tools startup?
Common Room fits when the community is active and the community is where buying interest first shows up. Clay fits when RevOps capacity is in place to build and maintain the workflows.
How does Common Room compare to Koala?
Koala was acquired by Cursor (Anysphere) in July 2025 and the product was shut down on September 30, 2025, so it is no longer a live option; existing customers had to migrate. Historically Koala focused on product-usage signal while Common Room focuses on community and web engagement signal. See Common Room vs Koala for the archived comparison.
What is the most-common Common-Room-versus-Clay mistake?
Per public buyer reports, picking one without confirming the actual bottleneck, then buying the other six months later to patch the half the first tool never covered. Identify the signal type and the data gap first. See ABM platform RFP template.
Do I still need a website de-anonymization tool if I buy both?
Usually yes, if person-level website identification matters to your motion, which is why the two-vendor stack so often becomes a three-vendor stack. Abmatic AI does account-level and contact-level deanonymization natively on the same identity graph that runs its campaigns, which removes that third line item. Book a demo to see the difference on your own traffic.
Sources
- Zoom newsroom, Zoom to acquire Common Room: news.zoom.com
- GeekWire on the Common Room acquisition: geekwire.com
- Common Room AI product page (RoomieAI Capture, Spark, Activate): commonroom.io/product/ai
- Common Room pricing page (Essential tier, credits, custom upper tiers): commonroom.io/pricing
- Clay Claygent product page: clay.com/claygent
- OpenAI customer story on Clay (Claygent scale): openai.com
- Clay pricing page: clay.com/pricing, with the March 11, 2026 tier change reported by Databar
- Clay ownership and valuation: Sacra and Contrary Research
- Koala shutdown context: ZoomInfo Pipeline
The takeaway
Common Room and Clay solve different shapes of the same broader ABM job: Common Room tells you which account is in market, Clay tells you who is on the buying committee and how to reach them. Pick by the bottleneck you actually have, price the full stack rather than the headline tier, and put the Zoom ownership change in the risk section before you sign. If the honest answer is that you need both halves plus website identification plus activation, price the single-platform route first. Book a 30-minute Abmatic AI demo to see how a unified alternative compares head-to-head.
