Clay Benchmark Data Request: what Clay needs to hand us, by buyer scenario and competitor.

• OpenAI: More than doubled enrichment coverage from low 40% to high 80% clay.com/customers/open-ai
• Anthropic: “We've had a 3x better match rate by using a combination of providers through Clay than we had with just our single provider before.” clay.com/customers/anthropic
• Hex: Hex saw Clay fill 88% of the data gap left by their previous enrichment provider, and a 7% improvement in total account coverage. clay.com/customers/hex
• Verkada (EMEA): Enrich accounts using 150+ regional data sources gets 62% better enrichment rate than large incumbent vendor clay.com/customers/verkada-emea
• depthfirst: Fill rates on key firmographic and technographic fields climbed from 50% to over 95%. clay.com/customers/depthfirst
• Legora: Legora now achieves a 80-90% match rate for contact-based audiences, allowing them to ship pipeline-generating campaigns 70% faster. clay.com/customers/legora

TO PROVIDE Head-to-head match rate vs ZoomInfo and Apollo by field (email, direct dial, mobile) with sample size, ICP, region and provider chain. No case study names the incumbent provider, and none publishes an email or phone match rate by field.

No public case study reports a dial connect rate or a direct-dial or mobile match rate. The full ask stands.

• Verkada (EMEA): By consolidating vendor relationships through Clay's 150+ data source ecosystem, Verkada saw their data coverage increase from 50% to over 80%, even within niche geographies. clay.com/customers/verkada-emea
• Verkada (EMEA): Enrich accounts using 150+ regional data sources gets 62% better enrichment rate than large incumbent vendor clay.com/customers/verkada-emea
• Verkada (EMEA): "We're getting address data with 95% accuracy," clay.com/customers/verkada-emea

TO PROVIDE APAC entirely (no public case study has an APAC figure); mobile and direct-dial accuracy by country; email deliverability by region; GDPR sourcing basis. Public evidence is EMEA only, from one customer, and covers account coverage and postal address accuracy rather than phone or email.

• A-LIGN: The cost: The Clay contract cost $10K less than the manual research contract. clay.com/customers/a-lign
• A-LIGN: The result: $6.8M in displacement pipeline (with $3.3M closed), 83% reduction in research costs, significant cost savings, 108% net revenue retention, contribution to 40%+ year-over-year pipeline growth, and an organization that now defaults to asking "Can we automate this?" instead of accepting manual processes as inevitable. clay.com/customers/a-lign
• IntroCRM: How IntroCRM cut its prospecting data budget by 65% and built better lead lists lists with Clay clay.com/blog/how-introcrm-cut-its-prospecting-data-budget-by-65-and-built-better-lead-lists-lists-with-clay
• Verkada (EMEA): What required manual research per contact now happens automatically at scale. That improvement in data quality and coverage directly impacted the pipeline generated, doubling the pipeline-to-cost ratio of their high-ROI marketing activities and saving over £80,000 per year. clay.com/customers/verkada-emea
• Terrapinn: Prospect acquisition costs are down 90%. clay.com/customers/terrapinn

TO PROVIDE The cost-per-enriched-record curve itself at 1k, 10k and 100k per plan tier. No case study publishes a cost per record, and every public savings figure is measured against manual research, a data broker, consultants or an unnamed single vendor, not against a named ZoomInfo or Apollo contract.

• Pump: This allowed Pump to scale from $1M to $25M in 18-months using Clay as their GTM foundation. clay.com/customers/pump
• Saviynt: Thanks to Clay's MCP for reps, Savyint has seen 60% of reps book more qualified meetings with a $32.2M increase in pipeline. clay.com/customers/saviynt
• A-LIGN: $6.8M in total pipeline generated or identified ($4.2M created, $2.6M tagged) clay.com/customers/a-lign
• A-LIGN: $3.3M closed revenue ($2.2M created, $1.1M tagged) clay.com/customers/a-lign
• OpenAI: More than doubled enrichment coverage from low 40% to high 80% clay.com/customers/open-ai
• Verkada (EMEA): Since implementing Clay, Verkada has seen their outbound reply rate double since using this workflow in Clay. clay.com/customers/verkada-emea
• Sendoso: With just a few hours of work, Sendoso booked 16 meetings, generated 23 leads, and closed a deal within two weeks of launching the campaign, all at a 75% open rate and 11% response rate. clay.com/customers/sendoso
• Terrapinn: Across 150 reps, that's translated to a 19% increase in revenue per employee and a 90% reduction in prospect acquisition cost since using Clay. clay.com/customers/terrapinn

Note: clay.com case studies already state named customer, use case, baseline, post-Clay figure and time window for several customers. What TPC still needs from Clay is confirmation of which named customers may be reused in comparison content. No public outcome is measured against a ZoomInfo or Apollo baseline.

• AlertMedia: "It only takes about 30 minutes to set up a new workflow." clay.com/customers/alertmedia
• A-LIGN: The speed: Arthur estimates the entire enrichment workflow took about 20 minutes to build. clay.com/customers/a-lign
• Merge: With Clay I can connect all of it, add a layer of AI, and build a system driving real impact for the team in 10 minutes," he says. clay.com/customers/merge
• ServiceBell: Our goal was to see if we could book any meetings within the first week and we were able to book one within the first 15-20 minutes of running the campaign. clay.com/blog/how-servicebell-used-clay-to-book-30-meetings-with-1-hour-of-work

TO PROVIDE A measured figure: minutes from account creation to first enriched table or published workflow on users with no RevOps or engineering title, with sample size, template used and onboarding help stated. The public figures are self-reported by GTM and RevOps practitioners for building a new workflow, not a measured non-technical cohort.

• Verkada (EMEA): “Our previous flow relied on a single vendor and 15% of the ‘validated’ emails still resulted in bounced emails.” clay.com/customers/verkada-emea
• Verkada (EMEA): The multi-source approach eliminated 10% email waste that was previously invisible. clay.com/customers/verkada-emea
• Verkada (EMEA): "We compared four validators and saw a 10-20% discrepancy," clay.com/customers/verkada-emea

TO PROVIDE Post-Clay hard-bounce rate by plan tier and verification configuration, with sample size, sending tool and date range. The only public figures come from one customer (Verkada EMEA) and describe the pre-Clay single-vendor bounce rate and the waste removed, not a Clay bounce rate.

• Hex: Hex saw Clay fill 88% of the data gap left by their previous enrichment provider, and a 7% improvement in total account coverage. clay.com/customers/hex
• Verkada (EMEA): Enrich accounts using 150+ regional data sources gets 62% better enrichment rate than large incumbent vendor clay.com/customers/verkada-emea
• OpenAI: More than doubled enrichment coverage from low 40% to high 80% clay.com/customers/open-ai
• Anthropic: “We've had a 3x better match rate by using a combination of providers through Clay than we had with just our single provider before.” clay.com/customers/anthropic
• A-LIGN: The data quality impact: Clay found 4,500 new LinkedIn URLs that standard providers missed (41% lift). clay.com/customers/a-lign

TO PROVIDE The incumbent named as ZoomInfo or Apollo, the per-field split (email, direct dial, mobile), sample size, ICP and provider order. Public pages describe the incumbent only as a large incumbent vendor, previous enrichment provider, single provider or standard providers.

• Anthropic: 3x’d data enrichment coverage on contact information, firmographics, and more clay.com/customers/anthropic
• ElevenLabs: In its first quarter, workspace MQLs already contributed roughly 4% of all outbound SQLs. clay.com/customers/elevenlabs
• Recharge: 20% increase in opportunity conversion rates across campaigns clay.com/customers/recharge

TO PROVIDE Signup match rate split by work vs personal email domain, median seconds per record from webhook to enriched row, sample size and date range. No case study publishes a signup-specific match rate or latency; the Anthropic page describes PLG signup enrichment coverage only.

No public case study covers agency multi-workspace operation. The nearest page, IntroCRM (2023 blog), is a single client list built by an agency-style firm and does not answer workspaces per account or cross-workspace deployment time. The full ask stands.

• depthfirst: Fill rates on key firmographic and technographic fields climbed from 50% to over 95%. clay.com/customers/depthfirst
• A-LIGN: The result: $6.8M in displacement pipeline (with $3.3M closed), 83% reduction in research costs, significant cost savings, 108% net revenue retention, contribution to 40%+ year-over-year pipeline growth, and an organization that now defaults to asking "Can we automate this?" instead of accepting manual processes as inevitable. clay.com/customers/a-lign
• Oyster: The results were immediate — within just one month, they saw $34K+ in new pipeline generated from these previously untapped accounts. clay.com/customers/oyster
• Pump: Response rates increased 25% after implementing cloud provider personalization alone. clay.com/customers/pump
• Coverflex: Automated monitoring buying signals from 3M+ companies to prioritize outreach clay.com/customers/coverflex

TO PROVIDE Number of technologies detectable; % of target accounts with a confirmed install for a named competitor technology; accuracy vs a verified install sample; intent-signal coverage percentage. depthfirst is the only page with a technographic fill rate, and no page publishes an intent-coverage figure.

No public case study publishes a Claygent accuracy percentage or a template setup time. Claygent is referenced (Mistral AI, A-LIGN, Coverflex) without an accuracy figure; the Sana +60% data accuracy and Verkada EMEA 95% address accuracy describe enrichment data, not Claygent output. The full ask stands.

No public case study compares Claygent output to a human researcher on the same records. The nearest public evidence is A-LIGN, which describes cost and volume rather than graded accuracy: A-LIGN: The cost: The Clay contract cost $10K less than the manual research contract. clay.com/customers/a-lign. The full ask stands.

• Merge: With Clay I can connect all of it, add a layer of AI, and build a system driving real impact for the team in 10 minutes," he says. clay.com/customers/merge

The only public "10 minutes" is one practitioner quote. TPC will not publish an "under 10 minutes" claim unless Clay's product analytics confirm it. If the data does not support it, the measured median from A6 is published instead and this ask closes.