Clay vs ZoomInfo 2026: 321M Contacts vs 150 Providers

By Priya Shah 2026-07-08 19 min read

Clay and ZoomInfo solve the same problem, filling your pipeline with accurate contact data, from opposite directions. ZoomInfo sells access to a proprietary database that independent audits size at roughly 321 million professional profiles, priced from about $14,995 per year. Clay owns no data at all; it orchestrates more than 150 providers into waterfall enrichment and starts near $2,004 per year, a 7x entry-price gap. The short answer for 2026: choose Clay if you have a technical revenue operations team and a target market under 20,000 accounts, and choose ZoomInfo if you need enterprise scale, native intent data, and one governed source of truth. The rest of this guide shows the numbers behind that split.

Clay vs ZoomInfo in 2026: the fast answer

The Clay vs ZoomInfo debate is not really a feature fight, it is a philosophy fight. ZoomInfo is a database company: it spends hundreds of researchers and processes more than a billion data points per day to build one verified dataset you rent by the seat. Clay is a workflow company: it holds zero proprietary records and instead routes every lookup through a stack of third-party vendors, charging you only for the rows that resolve. That single architectural choice cascades into pricing, accuracy, team requirements, and total cost of ownership, which is why two tools that look like competitors on a comparison grid actually serve different buyers.

For most lean growth teams, the winner in 2026 is Clay, because the March 2026 pricing overhaul cut data-marketplace costs by 50 to 90 percent and made waterfall enrichment cheaper than a single ZoomInfo license for accounts under roughly 20,000. For large, governed sales organizations that need direct dials, org charts, native intent, and a compliance story that survives procurement, ZoomInfo remains the default. If you run outbound at Skitrate scale, our lead generation team uses both patterns depending on the account list, and the decision almost always comes down to how much revenue-operations muscle a company can dedicate to maintaining workflows.

When Clay wins

Clay wins when your team has a dedicated revenue-operations or growth-engineering person, when your ideal customer profile is under 20,000 accounts, when you value coverage and freshness over raw volume, and when you want to pay per successful enrichment rather than per seat. It also wins when you already license a database like ZoomInfo or Cognism and want to squeeze more coverage out of it by adding fallback providers behind it.

When ZoomInfo wins

ZoomInfo wins when you send more than 5,000 leads per month, when you need native intent signals and conversation intelligence in one contract, when non-technical reps need to self-serve inside a Chrome extension and CRM, and when procurement demands a single vendor with SOC 2, GDPR tooling, and a public 10-K behind it. Scale and governance are the moat, not the enrichment logic.

Two architectures: an orchestration layer versus a proprietary database

Understanding the price and accuracy gaps starts with understanding the two machines. These are not two versions of the same product; they are two different categories that happen to overlap in the lead-generation buyer's shortlist. One is a build-your-own data supply chain, the other is a finished data warehouse you rent. Confusing the two is the most common reason teams overpay or under-deliver, because they buy an orchestration tool expecting turnkey data or buy a database expecting infinite flexibility.

How Clay works: the meal-kit model

Clay behaves like a meal-kit service. It does not grow the ingredients; it sources them on demand from more than 150 third-party providers including Apollo, Cognism, Clearbit, Datagma, FullEnrich, LinkedIn, Bombora, and Exa Websets, then lets you assemble them into a recipe. The defining mechanic is waterfall enrichment: you define the order of providers, so if provider A returns no verified email, Clay automatically asks provider B, then C, and stops the moment it finds a valid result. You are billed only for successful matches, and you layer Claygent, its AI research agent, on top to scrape sites, summarize accounts, and personalize copy. The tradeoff is that data quality is only as good as the providers you configure, and when records conflict, the Clay customer owns the problem. There is no independent verification layer, so the recipe is your responsibility. As documented in the RevPartners breakdown of Clay versus ZoomInfo, Clay connects to 130-plus data sources but ships none of its own.

How ZoomInfo works: the supermarket model

ZoomInfo behaves like a giant supermarket. It maintains a single deep dataset, verified continuously by more than 300 human researchers and a machine-learning pipeline that ingests over 1.5 billion data points per day, and it sells you a shopping cart. You get native org charts, direct-dial coverage, technographics, streaming intent, and a Chrome extension that non-technical reps can use on day one. Everything lives under one contract, which is why enterprises with governance and compliance requirements gravitate to it. The cost of that convenience is rigidity: annual contracts, a three-seat minimum, opaque pricing, and add-on modules like Chorus and Engage that inflate the bill. ZoomInfo, which now trades on the Nasdaq under the ticker GTM, reinforced this direction on its Q4 2025 earnings call, where management said 74 percent of business now comes from upmarket customers, up from 70 percent a year earlier.

Clay vs ZoomInfo feature and spec comparison

Before pricing, it helps to see the two platforms side by side across the dimensions that actually change a buying decision. The table below compares core model, data ownership, accuracy ranges pulled from independent 2026 testing, intent capabilities, automation depth, contract terms, and third-party review scores. Read it as a map of tradeoffs, not a scoreboard: Clay dominates the flexibility and coverage columns, ZoomInfo dominates the turnkey scale and governance columns, and the right answer depends on which columns your team is graded on. Note especially the entry-price row, where the gap is roughly sevenfold, and the accuracy row, where Clay's range swings wide because it is a function of how many providers you stack.

The pattern is consistent across all fifteen rows. Clay concentrates its advantages in the columns that reward technical control: provider count, coverage ceiling, automation depth, and price. ZoomInfo concentrates its advantages in the columns that reward turnkey scale: proprietary volume, native direct dials, org charts, and rep usability. The 4.9 versus 4.5 G2 gap looks decisive until you notice the denominators, 312 reviews against 9,035, which tells you Clay is beloved by a smaller, more technical crowd while ZoomInfo is used, and tolerated, by a much larger and more mainstream one.

Pricing breakdown: what Clay and ZoomInfo actually cost

Pricing is where the two platforms diverge most sharply, and it is also where buyers get burned. Clay publishes its self-serve prices; ZoomInfo does not publish anything, routing every deal through a sales rep. To make an honest comparison, the table below pairs Clay's transparent list prices with ZoomInfo tier estimates and, crucially, with median contract values verified by the procurement platform Vendr across more than a thousand real purchases. That last row matters most: the sticker price ZoomInfo quotes and the price companies actually pay after seats, overages, and add-ons are two different numbers, and only aggregated purchase data reveals the gap.

The headline is the entry gap: Clay Launch at roughly $2,004 per year against ZoomInfo Professional at roughly $14,995 per year, verified against the Vendr ZoomInfo marketplace and the Vendr Clay marketplace. At the enterprise end the gap narrows sharply: Clay's median Enterprise contract lands near $30,400 while ZoomInfo's blended median is $31,875, so the two converge for large buyers. The difference is what you get for the money. ZoomInfo's number buys volume and seats; Clay's number buys orchestration capacity you still have to configure.

Clay's dual-credit model

Clay restructured its billing on March 11, 2026, the biggest pricing change in the company's history. It replaced three self-serve tiers with two and split spending into Data Credits, consumed when a provider returns a record, and Actions, consumed when the platform runs a step such as sending an HTTP request or firing Claygent. There are no mandatory annual seat minimums, and the March overhaul cut data-marketplace costs by 50 to 90 percent. The catch is unpredictability: a single enriched row can burn 3 to 10 credits depending on how many waterfall steps it triggers, so a 10-step workflow on 10,000 rows can run $2,000 to $5,000 per month if you are not careful. One Clay user wrote on G2 that they "built a 10-step enrichment workflow for 500 contacts and burned through my entire monthly allocation in a single afternoon." You can see the live tiers on the Clay pricing page.

ZoomInfo's seat-and-contract model

ZoomInfo mandates annual contracts with a three-seat minimum and publishes no public pricing, so every quote is negotiated. Modules like Engage for sales engagement and Chorus for conversation intelligence bolt on top and inflate the bill quickly, which is how a Professional license that starts near $15,000 becomes a $30,000 to $60,000 all-in commitment. The renewal mechanics are the sharpest edge: buyers report contracts that auto-renew on 60 to 90 day notice windows, and one 25-person sales team reported a $32,000 renewal, a 40 percent jump from the prior year. Clay's transparent credit ledger is the direct answer to that opacity, though it trades one form of budget anxiety for another.

Data accuracy and coverage benchmarks from four named sources

Accuracy is the whole game, and it is also where marketing claims and reality part ways. ZoomInfo markets email accuracy around 95 percent, but independent 2026 testing puts the real figure lower, and Clay's accuracy is not a fixed number at all because it depends entirely on how many providers you stack in your waterfall. To cut through vendor spin, here are benchmarks from four named public sources rather than a single self-reported claim. Treat any absolute "more accurate" statement with suspicion; the honest answer is that the winner flips depending on the test setup, the geography, and the provider stack.

• Cleanlist real-list test (March 2026): on the same 1,000 B2B leads, ZoomInfo hit 84 percent email accuracy while Apollo hit 78 percent, both above the deliverability red-flag threshold. See the Cleanlist benchmark.
• 5,000-prospect waterfall test: ZoomInfo direct returned roughly 78 percent email match, while a four-provider Clay waterfall (Apollo to Cognism to Datagma to ZoomInfo) returned roughly 92 percent, at a lower cost per row.
• Fintech team test: Clay returned 89 percent valid emails against ZoomInfo's 71 percent, but ZoomInfo delivered in 20 minutes versus 4 hours for Clay's waterfall to complete.
• OpenAI production case study: switching inbound enrichment from a single provider to Clay's multi-source model more than doubled coverage from the low 40s to the high 80s percent.

Two lessons fall out of this. First, ZoomInfo's single-source accuracy is respectable and fast, in the high 70s to mid 80s, which is often good enough. Second, a well-built Clay waterfall beats any single database on coverage, but it costs you time and requires you to own the configuration. Speed versus ceiling is the real tradeoff.

"Only 35 percent of sales professionals feel confident in their data's accuracy," according to the same RevPartners analysis, which is exactly why multi-source waterfalls and continuous verification both exist. The 22.5 percent annual decay rate of B2B data means roughly 72 million of ZoomInfo's records lose accuracy every twelve months, no matter how good the initial verification.

Database size and freshness: 321 million records versus zero

ZoomInfo's core asset is scale. Independent auditing by Cleanlist in March 2026 sized the dataset at roughly 321 million professional profiles, 104 million company profiles, 174 million verified emails, and 70 million direct-dial phone numbers, while ZoomInfo's own marketing pages cite higher cumulative figures north of 400 million contacts. Both numbers can be true at once, because the marketing count includes historical records and the audit count reflects a stricter definition of active and verified. Either way, no rival ships a proprietary database at that scale, and for a rep who needs a phone number in the next thirty seconds, that depth is the product.

Clay's proprietary database is exactly zero records, and that is the point, not a flaw. Instead of owning data, Clay owns the pipes between 150-plus providers, which means its effective coverage can exceed any single database on a given account because it can fall through six sources until one resolves. The weakness is freshness accountability: when a record is stale or wrong, ZoomInfo has a research team you can escalate to, while Clay hands the problem back to whichever provider returned it. B2B data decays fast, roughly a fifth of it per year, so freshness is a recurring cost for both models. ZoomInfo pays for it with 300-plus researchers and a 1.5-billion-signal-per-day pipeline; Clay pays for it by letting you swap providers whenever one degrades. For teams that want to outsource this maintenance entirely, our AI automation practice builds the monitoring layer that flags provider decay before it poisons a campaign. Scale favors ZoomInfo; adaptability favors Clay.

Intent data, buying signals, and account context

Modern outbound has shifted from static list-buying to signal-based selling, where you reach an account the moment it shows a buying trigger. This is the arena where ZoomInfo's native ownership pays off and where Clay's orchestration has to work harder. ZoomInfo bundles intent, technographics, org charts, website-visitor identification, and conversation intelligence under one roof, so a rep sees the whole account context in a single pane. Clay can assemble the same picture, but only if you wire up the right providers and pay for each signal type separately. Below are the signal categories that matter in 2026 and how each platform sources them.

• Topic intent: ZoomInfo streams native and Bidstream intent; Clay pulls the same through Bombora and provider integrations.
• Job changes: both track role moves, a top trigger for warm outbound, though Clay refreshes on enrichment run while ZoomInfo pushes alerts.
• Hiring signals: Clay scrapes job boards natively via Claygent; ZoomInfo infers from Scoops and company updates.
• Funding events: both surface rounds, but Eric Nowoslawski, the Growth Engine X founder widely called the godfather of Clay outbound, cautions that generic funding mentions convert poorly without a specific offer.
• Technographics: ZoomInfo owns a deep native install-base graph; Clay reconstructs it through providers like BuiltWith.
• Website visitors: ZoomInfo WebSights de-anonymizes traffic natively; Clay needs a third-party visitor-ID provider.
• Org-chart context: ZoomInfo ships verified reporting lines; Clay approximates them provider by provider.
• Conversation intelligence: ZoomInfo Chorus records and scores calls; Clay has no native equivalent.

The scoreboard here tilts to ZoomInfo for teams that want signals out of the box. Clay can match most categories, but you are the systems integrator, and each added signal is another provider bill and another workflow to maintain. If your differentiator is reacting faster than competitors, weigh whether you would rather buy the signals assembled or assemble them yourself. Teams building a full signal-based motion often pair this with a growth and demand program so the signals actually feed a sequence rather than a spreadsheet.

The OpenAI case study: what 40% to 80% coverage really means

The single most instructive Clay reference in 2026 is OpenAI, because it shows exactly what the orchestration model buys and what it demands. OpenAI's inbound-lead enrichment ran on a single provider and left large gaps: only about 40 percent of inbound leads got enriched with usable company and contact data. After moving to Clay's multi-source waterfall, augmented by OpenAI's own models, coverage more than doubled to the high 80s. The team logged 8,500-plus on-demand enrichments inside Salesforce, with individual sellers running up to 150 lead enrichments per day on busy days. The numbers are real and the source is public, which is rare in this category.

"With Clay, we more than doubled our enrichment coverage from low 40 percent to high 80 percent," said Keith Jones, GTM Systems Lead at OpenAI, in the Clay case study. "Clay was a way to leapfrog us into a multi-source model with the lowest amount of overhead and labor. It's an inflection point that every B2B enterprise faces at some point. If you're not multi-source, you're going to be one day."

His colleague Harsha Chilakamarri, on OpenAI's RevOps team, added that "Clay has allowed us to easily leverage multiple providers to scale our inbound lead enrichment process." The subtext matters as much as the quote: this worked because OpenAI has a GTM systems lead and a RevOps function to build and refine the workflow, and they refined their provider combination within two weeks. A company without that in-house muscle would not have gotten the same result from the same tool. Clay is a force multiplier for teams that already have operators; it is not a shortcut for teams that do not. That distinction is the throughline of this entire comparison.

What real users say on G2 and Reddit

Aggregate review data cuts through vendor positioning better than any single anecdote. On G2 in 2026, Clay holds 4.9 out of 5 across 312 reviews, concentrated among technical GTM teams who prize the waterfall coverage. ZoomInfo holds 4.5 out of 5 across 9,035 reviews, a much larger and more mainstream sample. Digging into ZoomInfo's review tags shows both the strength and the recurring complaints, which cluster around data quality despite the proprietary verification. The breakdown below comes straight from the tagged G2 mentions.

• ZoomInfo top praise: deep contact database (413 mentions), ease of use (403 mentions), and data accuracy (384 mentions).
• ZoomInfo top complaints: inaccurate data (232 mentions), outdated records (232 mentions), and needing to verify data elsewhere (172 mentions).
• Reddit sentiment on ZoomInfo: a buggy Chrome extension, phone numbers that route to reception rather than direct dials, and $15,000 to $20,000 spends for underwhelming results.
• Clay praise: unmatched coverage and flexibility for teams with real RevOps investment.
• Clay complaints: data-quality volatility from third-party aggregation, operational complexity, and unpredictable credit costs at scale.

The reviews confirm the thesis. ZoomInfo is easy to operationalize but draws steady fire on data freshness; Clay produces better data if you have the ops skill to build and maintain the workflows. Neither wins cleanly on quality alone.

"Clay positions itself as a premium data enrichment solution for serious B2B prospecting operations. We particularly appreciate the waterfall enrichment logic and access to 150-plus data providers which provide coverage impossible to achieve with a single tool like Apollo or ZoomInfo. It's a tool we recommend without hesitation for growth teams and agencies managing high-volume outbound campaigns," wrote Romain Cochard, CEO of Hack'celeration, in his 2026 Clay review.

Total cost of ownership and the renewal-shock problem

Sticker price is a trap for both tools, so model the fully loaded cost before you sign. ZoomInfo's total cost of ownership is dominated by the contract structure: an annual commitment, a three-seat floor, and add-on modules that push a $15,000 license toward $30,000 to $60,000. The most cited pain is the renewal. Because contracts auto-renew on tight 60 to 90 day windows and pricing is opaque, buyers get surprised at term end, like the 25-person team that saw a $32,000 renewal, up 40 percent year over year, with no line-item explanation. You are buying predictability of data and unpredictability of bill.

Clay inverts that. The bill is transparent to the credit, but the credits themselves are the variable you have to govern. Because a single enriched row can consume 3 to 10 credits across a multi-step waterfall, a workflow that looks cheap in testing can balloon in production. The right way to model Clay is cost-per-enriched-row, not cost-per-month: one enterprise client cited by RevPartners went from roughly 25 cents per enrichment and 30 percent coverage on ZoomInfo to under 1 cent per enrichment and 80 percent coverage on Clay, a genuine order-of-magnitude improvement, but only because they instrumented the spend. The deeper point is that Clay's cost is a function of engineering discipline, while ZoomInfo's cost is a function of negotiation leverage. Budget for a credit-monitoring process on Clay and for a hard-nosed procurement cycle on ZoomInfo, and neither will surprise you. If in-house discipline is thin, our build-and-automate team sets guardrails on credit consumption so a runaway table does not torch a quarter's budget.

Seven real-world use cases and which tool wins

Abstract comparisons only get you so far, so here are seven concrete scenarios with a recommendation for each. Map your situation to the closest one. The pattern that emerges is simple: the more technical and targeted your motion, the more Clay pulls ahead; the more you need scale, speed, and rep self-service, the more ZoomInfo does.

• Seed-stage startup, ICP under 5,000 accounts: Clay. The $2,004 Launch plan and pay-per-match model beat a $15,000 database you will barely dent.
• Enterprise sales org, 50-plus reps, 5,000+ leads per month: ZoomInfo. Native direct dials, org charts, and rep-friendly self-service outweigh orchestration flexibility at that volume.
• Growth agency running outbound for many clients: Clay. Per-client workflows, transparent credits, and provider swapping fit an agency model, which is why Growth Engine X became Clay's largest user by enrichment volume.
• RevOps team enriching inbound leads in real time: Clay, exactly the OpenAI pattern, where waterfall coverage doubled from the low 40s to high 80s.
• SaaS company that needs conversation intelligence plus data in one contract: ZoomInfo. Chorus and native intent under one roof avoid stitching five vendors together. For product-led SaaS specifically, see our SaaS growth playbook.
• Team that already licenses ZoomInfo but has coverage gaps: both. Keep ZoomInfo as the first waterfall step inside Clay and add fallback providers behind it.
• Non-technical founder doing outbound solo: ZoomInfo. Without a RevOps operator, Clay's steep learning curve outweighs its price advantage.

The recurring tiebreaker across all seven is not the data, it is the operator. Ask honestly whether you have someone who will own and maintain workflows every week. If yes, Clay's ceiling is higher. If no, ZoomInfo's floor is safer.

Migration considerations before you switch

Switching platforms is where good decisions go wrong, because teams underestimate the operational drag. Whether you are moving from ZoomInfo to Clay to cut cost, or from Clay to ZoomInfo to reduce complexity, plan for these six considerations before you migrate a single record. Each one has sunk a migration that looked clean on a spreadsheet.

• Staffing reality: Clay requires a dedicated RevOps or growth-engineering owner. If you cannot name that person today, you are buying a tool you cannot run, and the migration will stall in week three.
• CRM sync scope: ZoomInfo syncs natively to Salesforce, HubSpot, and Dynamics; on Clay, CRM sync sits on the Growth and Enterprise tiers (and legacy Pro), so verify your plan supports it before you cut over.
• Credit budgeting and guardrails: rebuild every workflow with cost-per-row limits and rollover caps, or a single misconfigured table can exhaust a monthly allocation in an afternoon.
• Contract timing: ZoomInfo's 60 to 90 day auto-renewal window means you must give notice early; miss it and you pay for another year regardless of migration status.
• Provider redundancy: moving to Clay means selecting and ordering providers per data type; do not launch with a single-provider waterfall, which just recreates the coverage gap you left.
• Historical data and compliance: export org charts, intent history, and enriched fields before you churn, and confirm GDPR and suppression handling carries over, because governance is where enterprise migrations get audited.

The safest migrations are rarely rip-and-replace. Many teams run both for a quarter, using ZoomInfo as the base layer inside a Clay waterfall, then decide with real cost-per-row and coverage data rather than a projection. Parallel running costs more for ninety days and saves you from an expensive reversal.

Clay vs ZoomInfo pros and cons

Here is the compressed tradeoff sheet. Use it as the final gut check after the detailed sections above. Notice that several of Clay's pros are ZoomInfo's cons and vice versa, which is the clearest sign these tools are mirror images built for opposite buyers.

• Clay pros: transparent pay-per-match pricing, 150-plus provider coverage that beats any single database, deep automation and AI research via Claygent, no seat minimums, and a 4.9 G2 score from technical teams.
• Clay cons: zero proprietary data and no verification layer, unpredictable credit burn at scale, a steep learning curve that demands a RevOps operator, and data quality that is only as good as your configuration.
• ZoomInfo pros: a proprietary dataset of roughly 321 million profiles, native direct dials and org charts, streaming intent and conversation intelligence in one contract, rep-friendly usability, and enterprise-grade governance.
• ZoomInfo cons: opaque pricing with a 7x higher entry point, annual contracts and three-seat minimums, renewal shock on tight auto-renew windows, and recurring G2 and Reddit complaints about stale or inaccurate records.

If your eyes went straight to the pros of one list and the cons of the other felt tolerable, you already know your answer. The teams that struggle are the ones that want Clay's price with ZoomInfo's turnkey simplicity, which no product on this market delivers in 2026.

The verdict: which platform wins in 2026

There is no universal winner, and any comparison that declares one is selling you something. The correct framing is fit. Clay wins for lean, technical GTM teams with a target market under 20,000 accounts that want maximum coverage, transparent per-match pricing, and deep automation, and that have a RevOps operator to run it. The evidence is strong: a 4.9 G2 score, the OpenAI coverage doubling from the low 40s to high 80s, waterfall match rates reaching 92 percent in independent tests, and an entry price near $2,004 that undercuts ZoomInfo sevenfold. Clay is also the momentum story, having closed a $100 million round at a $3.1 billion valuation in August 2025, as TechCrunch reported and Crunchbase News confirmed.

ZoomInfo wins for large, governed sales organizations that need enterprise scale, native intent, direct dials, org charts, and one compliant source of truth, and that value speed and rep self-service over configuration control. It remains a serious business: roughly $1.25 billion in FY2025 revenue per its SEC filing, 1,921 customers with contracts over $100,000, and a Copilot product that its 2025 Customer Impact Report credits with lifting deals-closed rates from 32 percent to 46 percent, a real 14-point gain rather than the inflated numbers some comparisons cite. If your motion depends on reacting to signals faster than competitors and you lack in-house GTM engineering, ZoomInfo's assembled-for-you model is worth the premium. Choose based on your operator headcount and your account-list size, not on which brand is louder. If you want an outside read on which model fits your funnel, our case studies show how we have deployed each in production.

How to get started Monday morning

Skip the analysis paralysis and run a five-day test instead of a six-month deliberation. On Monday, pull a representative sample of 1,000 accounts from your real ideal customer profile, not a vendor's demo list, because the only benchmark that matters is your data on your market. On Tuesday, open a Clay Free or Launch workspace and build a three-provider waterfall against that list, then record the match rate and the credits consumed per resolved row. On Wednesday, get a ZoomInfo trial or a scoped quote and run the same 1,000 accounts through it, logging match rate, direct-dial hit rate, and the all-in annual price including any modules a rep tries to attach.

On Thursday, compare the two on three axes only: coverage percentage, cost per enriched row, and time to result. Ignore feature lists and G2 badges; your own numbers outrank both. On Friday, make the staffing call, because it is the real decision. If you have a RevOps or growth-engineering owner who will maintain workflows weekly, commit to Clay and instrument credit guardrails from day one. If you do not, commit to ZoomInfo and negotiate hard on the renewal window and seat count before you sign. Either way, revisit the choice in ninety days with production data, since a fifth of B2B records decay every year and the provider that won your test can slip. If you would rather have this run for you end to end, Skitrate's lead generation service builds, tests, and maintains the exact stack your pipeline needs, so you buy outcomes instead of a login.

Priya Shah

AI Engineering Lead

Priya runs Skitrate's marketing automation and AI agent stack. Builds the workflows, schemas and data pipelines that move clients from manual ops to autonomous campaign management. Background in distributed systems before pivoting into ad-tech and martech in 2021. Holds patents on agentic campaign orchestration.

• Builds and operates the Skitrate AI automation stack (n8n + LangChain + Postgres + pgvector)
• Designed the agent workflows now running enrichment, scoring and reporting for 40+ clients
• Previously SRE-turned-platform-engineer at a Tier-1 ad-tech firm
• Speaker on AI in marketing operations at SaaStr and MarTech Conference

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