Try OnsaTL;DR: Clay is a powerful data enrichment platform, but its steep learning curve, credit-based pricing, and workflow complexity push many sales teams to look elsewhere. If you want an end-to-end AI agent that handles research and outreach, look at Onsa.ai. If you need a massive database with built-in sequences, Apollo.io is hard to beat. If cold email volume is your priority, Instantly.ai delivers the best email infrastructure for the price. The right choice depends on whether you need a “build-your-own” platform or a tool that works out of the box.
Clay changed the game for GTM teams. Its data waterfall approach - cascading enrichment across 100+ providers until you get the data point you need - is genuinely innovative. For growth engineers and sales ops professionals who love building systems, Clay is a playground.
But here’s what I’ve seen after talking to hundreds of sales leaders over the past two years: most teams don’t have a dedicated “Clay developer” on staff. And that’s essentially what you need to get full value from the platform.
Clay’s power comes with real tradeoffs. The learning curve requires hours of “Clay University” training before you can build your first useful workflow. Credit-based pricing scales unpredictably - I’ve heard from teams who blew through a $720/month Pro plan in the first week because they didn’t optimize their enrichment chains. And when something breaks (an API changes, a data provider returns unexpected formats), you’re debugging a complex system instead of selling.
These aren’t flaws - they’re design decisions. Clay chose maximum flexibility over ease of use. That’s the right call for some teams and the wrong call for others.
I’m Bayram, founder of Onsa.ai. I used Clay before building a competing product, so I have opinions. But this article isn’t an Onsa sales pitch - it’s an honest comparison of 10 tools that solve the same core problem Clay solves: getting the right data about the right prospects to the right salespeople at the right time. I’ll tell you where each tool wins, where it falls short, and which one fits your specific situation.
If you’re building your ICP from scratch, the tool you choose matters less than the clarity of your targeting. But once you know who you’re after, you need infrastructure that matches your team’s skillset and budget.
Before diving into alternatives, let’s be specific about what drives teams away from Clay. Understanding these pain points will help you evaluate whether an alternative actually solves your problem - or just gives you a different set of issues.
Clay isn’t a tool you hand to a sales rep and say “go prospect.” It’s a platform that requires someone who understands API logic, data schemas, and workflow design. Teams without a GTM engineer or RevOps specialist often find themselves paying for a tool they’re only using at 20% capacity. The gap between what Clay can do and what your team actually does with it is the most expensive part.
Every action in Clay costs credits - every enrichment, every AI call, every row processed. On the Starter plan, you’re paying roughly $75 per 1,000 credits. On Pro, that drops to about $16 per 1,000. But the layered consumption (a single prospect might trigger 5-10 credit charges across a waterfall) makes forecasting nearly impossible. I’ve talked to teams who set up “credit budgets” with spreadsheets to manage their Clay spend. When you need a spreadsheet to manage your spreadsheet tool, something’s off.
Clay excels at finding data. But it doesn’t send emails, it doesn’t manage LinkedIn outreach, and it doesn’t book meetings. You still need Instantly, Lemlist, or another tool for execution. That means more integrations to maintain, more subscriptions to manage, and more points of failure. For lean teams, the “Clay + outreach tool + CRM” stack adds up fast - both in cost and in time spent keeping everything connected.
Clay’s waterfall pulls from databases - and databases go stale. Contact info changes, people switch jobs, companies pivot. Clay gives you the best version of cached data. But it can’t tell you what a prospect posted on LinkedIn yesterday or that their company just announced a funding round this morning. For teams whose outreach depends on timeliness and relevance, database-first approaches have a ceiling.
Not every team needs 100+ data providers and infinite workflow flexibility. If you sell to a specific vertical, have a clear ICP, and just need reliable contact data plus a way to reach out - Clay’s complexity becomes a liability, not an asset. Simpler tools that do fewer things well often outperform “do everything” platforms in practice.
What it does: Onsa replaces the entire Clay + outreach tool + research stack with five specialized AI agents that handle everything from ICP definition to prospect research to personalized outreach. Instead of building workflows in a spreadsheet, you describe what you’re looking for in plain English and the agents do the work.
Key differentiator from Clay: Where Clay gives you building blocks and expects you to assemble them, Onsa gives you autonomous agents that handle the full pipeline. The “Thoughts” panel shows you exactly why each prospect was selected - the agent’s reasoning, the signals it found, the sources it checked. You’re not just getting data; you’re getting context.
Pricing: Free tier available. Paid plans on request. No credit system - you’re paying for outcomes, not API calls.
Limitations: Not built for bulk data export. If you need to process 10,000 rows through a specific enrichment sequence, Onsa’s research-first approach will be slower than Clay’s waterfall. The integration ecosystem is still growing compared to Clay’s 100+ providers. And because AI agents are doing real-time web research, results can occasionally be unpredictable - though the Thoughts panel makes it easy to verify.
Choose this over Clay if you’re a founder or lean team that wants research, personalization, and outreach handled by AI - not assembled manually from a dozen tools.
Related: I wrote a detailed Onsa vs Apollo comparison that covers how the agent-based approach differs from database-first tools.
What it does: Apollo combines a 270M+ contact database with email sequencing, a built-in dialer, and basic enrichment in a single platform. It’s the closest thing to an “everything box” for outbound sales - find contacts, build lists, send sequences, and track engagement without leaving the app.
Key differentiator from Clay: Apollo owns its database. You don’t need to configure waterfalls across multiple providers - the data is already there. The tradeoff is less flexibility in sourcing, but for most B2B use cases, Apollo’s coverage is solid. And because sequencing is built in, you skip the “now export this to an outreach tool” step entirely.
Pricing: Free plan available. Basic starts at $49/user/month (annual). Professional at $79/user/month. Organization at $119/user/month (minimum 3 users). Monthly billing runs 15-25% higher. Credits drive the real cost: phone numbers cost 8x more than emails, and overage credits run $0.20 each.
Limitations: Data accuracy is inconsistent - email bounce rates of 15-20% are common in some verticals. The platform tries to do everything, which means nothing gets the deep attention a specialized tool provides. Enrichment capabilities are basic compared to Clay’s waterfall approach. Sequence personalization is template-based, not research-driven.
Choose this over Clay if you want database + sequences + dialer in one platform and your team doesn’t need Clay-level enrichment depth.
Related: See the detailed Apollo comparison for a deeper look at database vs. research approaches.
What it does: Instantly is purpose-built for cold email. It handles email account warming, rotation across unlimited sending accounts, and campaign management. Its SuperSearch feature adds a lead database, and a separate CRM module handles pipeline tracking.
Key differentiator from Clay: Clay enriches data. Instantly delivers emails. They solve different problems, but many teams use Instantly instead of Clay when their primary need is getting emails into inboxes, not enriching prospect data. Instantly’s email warming and deliverability infrastructure is best-in-class.
Pricing: Growth outreach starts at $37/month (5,000 emails, 1,000 active leads). Hypergrowth at $97/month (100,000 emails, 25,000 leads). Lead database (SuperSearch) is a separate subscription starting at $47/month. CRM is another separate subscription starting at $47/month. Annual billing saves 20%.
Limitations: You need three separate subscriptions (outreach + leads + CRM) to match what some competitors bundle together. Lead data quality from SuperSearch doesn’t match Apollo or ZoomInfo. The tool is laser-focused on email - no LinkedIn automation, no phone dialer, limited enrichment. If you need multi-channel outreach, you’ll need additional tools.
Choose this over Clay if cold email volume and deliverability matter more to you than data enrichment depth.
What it does: Lemlist combines email outreach with LinkedIn automation and cold calling in a single sequence builder. Its claim to fame is personalization - dynamic images, landing pages, and AI-generated icebreakers that make each touchpoint feel custom. The platform includes access to a 450M+ contact database.
Key differentiator from Clay: While Clay focuses on data enrichment, Lemlist focuses on what you do with the data. The multi-channel sequencing (email + LinkedIn + calls) is more sophisticated than what you’d build by connecting Clay to separate outreach tools. The built-in lead database, while not as deep as Clay’s waterfall, eliminates the need for a separate data source for many use cases.
Pricing: Email Pro at $69/user/month. Multichannel Expert at $99/user/month (adds LinkedIn + calls). Enterprise pricing on request. Quarterly billing saves 10%, annual saves 20%. Free 14-day trial on all plans.
Limitations: Per-seat pricing gets expensive for larger teams. LinkedIn automation has daily limits that can bottleneck campaigns. The lead database is decent but not comprehensive for niche verticals. Reporting and analytics are basic compared to dedicated CRM tools. No waterfall enrichment - you get what the single database provides.
Choose this over Clay if you need multi-channel sequences with strong personalization and don’t want to stitch together separate tools for email, LinkedIn, and calling.
What it does: ZoomInfo is the legacy heavyweight of B2B data. It provides verified company and contact information, intent data signals, and technographic insights. For enterprise sales teams where data accuracy directly impacts deal size, ZoomInfo’s verified database remains the industry benchmark.
Key differentiator from Clay: ZoomInfo verifies its data through a combination of automated systems and human review. Clay aggregates data from many providers but doesn’t verify it. For enterprise deals where calling the wrong person wastes thousands in rep time, ZoomInfo’s accuracy premium pays for itself. Intent data that shows which companies are actively researching solutions in your category is another differentiator Clay doesn’t natively provide.
Pricing: Professional starts at $14,995-$18,000/year. Advanced at $25,000-$30,000/year (adds intent data, 10,000 bulk credits). Elite at ~$40,000/year. Additional seats cost $2,000-$5,000/year each. Most teams end up paying $30,000-$60,000 annually once they add seats, credits, and features. Contracts often include 10-20% annual price increases.
Limitations: The most expensive option on this list by a wide margin. Annual contracts with automatic renewal make it hard to leave. The interface feels dated compared to newer tools. Implementation and onboarding takes weeks. For SMBs and startups, the cost-to-value ratio rarely makes sense. Credit overages at $0.25-$0.50 each add up quickly.
Choose this over Clay if you’re an enterprise team where data accuracy and intent signals justify a $30K+ annual investment.
What it does: Cognism specializes in phone-verified mobile numbers and GDPR-compliant B2B data, with particular strength in European markets. Their “Diamond Data” feature provides manually verified phone numbers with a connect rate that’s significantly higher than competitors.
Key differentiator from Clay: GDPR compliance is built into Cognism’s DNA, not bolted on. If you’re selling into Europe, Cognism’s data is collected and maintained in compliance with European privacy regulations. Their phone-verified mobile numbers achieve connect rates that Clay’s waterfall approach can’t match because Clay aggregates data from providers with varying levels of verification.
Pricing: Entirely quote-based. Platinum/Grow plan starts around $1,500/user/year plus a platform fee of $15,000-$25,000. Diamond/Elevate plan runs $2,500/user/year. A 5-user Grow plan lists at approximately $22,500/year; Elevate runs $37,500+. Add onboarding ($500-$1,500), intent data topics ($200-$400 each), and expect 10-15% annual renewal increases. No free plan, no monthly option.
Limitations: Expensive for what you get if you don’t sell into Europe. No outreach capabilities - it’s purely a data provider. North American data coverage is weaker than Apollo or ZoomInfo. The platform fee + per-seat model means the entry price is high even for small teams. No workflow automation or enrichment logic like Clay offers.
Choose this over Clay if you sell into European markets, need GDPR-compliant data, and phone-verified mobile numbers are critical to your outreach strategy.
What it does: Lusha provides a fast, lightweight way to find email addresses and phone numbers. Its Chrome extension sits on top of LinkedIn and company websites, revealing contact data in one click. The platform also includes a prospecting search feature for building targeted lists.
Key differentiator from Clay: Simplicity. Where Clay requires building workflows and understanding waterfalls, Lusha is “see a prospect, click a button, get their email.” The Chrome extension is genuinely the fastest way to go from “I found this person on LinkedIn” to “I have their direct contact info.” No learning curve, no credit math gymnastics.
Pricing: Free plan with 40 credits/month for one user. Pro at $22.45/user/month (annual, 3,000 credits/year). Premium at $52.45/user/month (annual, 5 users, 7,200 credits/year). Scale plan with custom pricing. Important: one credit = one email, but phone numbers cost 5 credits each. CRM integrations (Salesforce, HubSpot) only available on the Scale plan.
Limitations: Very limited compared to Clay’s capabilities. No enrichment workflows, no data waterfall, no AI features. It’s a lookup tool, not a platform. Credit consumption for phone numbers is aggressive (5x emails). CRM integration locked behind the most expensive tier is frustrating. Data accuracy varies by region - strong in the US, weaker elsewhere. Won’t solve your prospecting workflow - just the data lookup step.
Choose this over Clay if your team uses LinkedIn heavily and just needs a fast, affordable way to get contact info without building enrichment workflows.
What it does: Persana AI combines a contact database of 700M+ contacts and 200M+ companies with AI-driven lead scoring, personalization, and multi-channel outreach. It positions itself as an AI-native alternative to traditional enrichment tools, with automated workflows that handle inbound, outbound, and RevOps.
Key differentiator from Clay: Persana takes Clay’s enrichment concept and adds AI automation on top. Instead of manually building waterfall workflows, Persana’s AI handles lead scoring and prioritization automatically. The platform also includes built-in outreach (email + LinkedIn), which Clay doesn’t. At $68/month starting price, it’s significantly cheaper than Clay’s comparable Pro tier.
Pricing: Free plan available with limited features. Paid plans start at $68/month. Higher tiers offer increased usage limits and priority support. Pricing is subscription-based, not heavily credit-driven like Clay.
Limitations: Newer platform with less proven track record than Clay or Apollo. AI automation is a double-edged sword - when it works, it saves time; when it doesn’t, debugging is harder than with Clay’s transparent workflow builder. Integration depth is limited compared to Clay’s 100+ providers. Data quality from a single aggregated database doesn’t match Clay’s multi-provider waterfall for hard-to-find contacts.
Choose this over Clay if you want AI-powered enrichment and outreach in one tool without Clay’s complexity or price tag.
What it does: Ocean.io specializes in finding companies that look like your best customers. Upload your customer list, and Ocean.io’s AI identifies companies with similar characteristics - industry, size, tech stack, growth patterns, and more. It also provides contact data for decision-makers at those companies.
Key differentiator from Clay: Clay enriches a list you already have. Ocean.io helps you build the list in the first place. Its look-alike algorithm is genuinely unique - instead of searching by firmographic filters (industry + size + location), you’re saying “find me more companies like these five customers.” For teams that know who their best customers are but struggle to find more of them, this is a fundamentally different approach than Clay’s enrichment-first model.
Pricing: Starter at $79/month (500 credits). Professional at $299/month (2,000 credits, CRM integrations, look-alike features). Enterprise at $800-$2,000/month (custom). Unlimited users included on all plans.
Limitations: The tool is focused on company-level discovery - individual contact data is secondary. If you need deep enrichment of individual prospects (job changes, social activity, intent signals), Ocean.io won’t replace Clay. Look-alike accuracy depends heavily on the quality and size of your input customer list. The platform is niche - great for one thing, but you’ll need other tools for the rest of your stack.
Choose this over Clay if your biggest challenge is finding which companies to target, not enriching contacts at companies you’ve already identified.
What it does: Seamless.AI uses AI to search the web in real time for verified B2B contact data. Unlike static databases, it crawls and verifies contact information on demand, which means the data is often more current than what you’d get from a traditional provider. The platform includes a Chrome extension, CRM integrations, and a built-in dialer.
Key differentiator from Clay: Real-time verification. While Clay waterfalls across static databases, Seamless.AI actively searches and verifies data at the moment you request it. This means fewer bounced emails and more accurate phone numbers - at least in theory. The built-in dialer also means you can go from search to call without switching tools.
Pricing: Free plan with 50 lifetime credits. Basic at $147/month (annual billing). Pro pricing is quote-based, reportedly $147-$299/user/month depending on team size. Enterprise is custom. Credit overage packs run $49-$98/month. Buyer Intent Data costs an additional $79-$199/user/month.
Limitations: Hidden costs are the biggest complaint. Most buyers underestimate real costs by 40-60%. Credit-driven pricing creates the same anxiety Clay does - you’re always watching your balance. Data quality, despite the “real-time” branding, is inconsistent in some verticals. The aggressive sales process (annual contracts, difficult cancellation) has earned Seamless.AI a reputation for pushy tactics. Interface can feel cluttered and overwhelming.
Choose this over Clay if you value real-time data verification and want a built-in dialer, and you’re comfortable navigating aggressive contract terms.
The fundamental difference is philosophy. Clay is an enrichment platform - it gives you maximum control over how data flows through your pipeline. Onsa is an AI agent - it handles the pipeline for you.
Dimension: Setup time. Clay: Hours to days (workflow design). Onsa.ai: Minutes (describe your ICP).
Dimension: Ideal team. Clay: GTM Ops, growth engineers. Onsa.ai: Founders, AEs, lean teams.
Dimension: Data approach. Clay: Waterfall across 100+ providers. Onsa.ai: Real-time web research.
Dimension: Outreach. Clay: Requires external tool. Onsa.ai: Built-in AI outreach writer.
Dimension: Transparency. Clay: You build it, so you see it. Onsa.ai: Thoughts panel shows reasoning.
Dimension: Cost predictability. Clay: Low (credit-based, layered). Onsa.ai: High (outcome-based).
Dimension: Bulk processing. Clay: Excellent (10K+ rows). Onsa.ai: Limited (research takes time).
Dimension: Learning curve. Clay: Steep. Onsa.ai: Minimal.
Clay wins when you need to process thousands of leads through a specific, repeatable enrichment sequence and you have someone technical to build and maintain it. Onsa wins when you need deep research on fewer prospects, want end-to-end automation, and don’t want to become a workflow engineer.
This is the most common comparison, and for good reason - they serve overlapping use cases with fundamentally different architectures.
Dimension: Data model. Clay: Aggregate from 100+ providers. Apollo.io: Own 270M+ contact database.
Dimension: Best coverage. Clay: Hard-to-find contacts (waterfall). Apollo.io: Standard B2B contacts.
Dimension: Sequences. Clay: None (external tool needed). Apollo.io: Built-in email + dialer.
Dimension: Pricing model. Clay: Credits (complex, layered). Apollo.io: Per-seat + credits.
Dimension: Entry price. Clay: $149/month (Starter). Apollo.io: $49/user/month (Basic).
Dimension: Flexibility. Clay: Near-infinite. Apollo.io: Moderate.
Dimension: Time to first campaign. Clay: Days. Apollo.io: Hours.
For most teams, Apollo provides 80% of Clay’s value at 30% of the complexity. Clay’s edge shows up when Apollo’s database doesn’t have the contact you need - the waterfall across multiple providers fills gaps that a single database can’t. But for standard B2B outreach to known job titles at known company sizes, Apollo’s integrated approach is faster and cheaper.
If you want to go deeper on database vs. research approaches, I covered this in the Apollo comparison piece.
These tools barely overlap - but they compete for the same budget line.
Dimension: Core function. Clay: Data enrichment. Instantly.ai: Email delivery.
Dimension: Sends emails?. Clay: No. Instantly.ai: Yes (unlimited accounts).
Dimension: Enrichment depth. Clay: Deep (100+ providers). Instantly.ai: Basic (SuperSearch).
Dimension: Email warming. Clay: No. Instantly.ai: Best-in-class.
Dimension: Contact database. Clay: Via providers (credit-based). Instantly.ai: SuperSearch (separate plan).
Dimension: Starting price. Clay: $149/month. Instantly.ai: $37/month.
Dimension: Target user. Clay: GTM Ops. Instantly.ai: SDRs, founders.
The honest answer: many teams need both Clay and Instantly (or a tool like them). Clay finds and enriches the data; Instantly delivers the emails. The question is whether you want to manage two subscriptions and an integration between them, or whether a more integrated tool (Apollo, Lemlist, or Onsa) would simplify your stack.
Not every team should leave Clay. Here’s a framework for thinking through the decision.
- You have a dedicated GTM Ops or RevOps person who enjoys building and maintaining workflows. Clay rewards technical investment with unmatched flexibility.
- You need waterfall enrichment across many providers. No alternative matches Clay’s depth of data provider integrations. If your ICP requires checking 10+ sources to find accurate contact data, Clay is still the best tool for the job.
- Your workflows are stable and proven. Once a Clay workflow is built and working, it’s incredibly efficient. The cost of switching to a new tool (including rebuilding workflows) might exceed the savings.
- You process high volumes (10K+ leads/month). At scale, Clay’s Pro plan credit economics are competitive, and the workflow automation saves significant manual effort.
- Your team isn’t using Clay to its potential. If you’re only using 2-3 data providers and basic enrichment, you’re paying for capabilities you don’t need. Apollo or Lemlist would be simpler and cheaper.
- Credit costs have become unpredictable. If you’re constantly worried about burning through credits or spending time optimizing workflows to minimize credit consumption, a per-seat pricing model (Apollo, Lemlist) gives you more predictable costs.
- You need outreach built in. If you’re paying for Clay plus an outreach tool plus a CRM, consolidating to an all-in-one platform could save both money and integration headaches.
- You don’t have technical staff to maintain workflows. Clay workflows break. APIs change. Data formats shift. If nobody on your team can debug these issues, you’ll waste time and money on a tool that’s working at half capacity.
- Real-time research matters more than database lookups. If your prospects are in niches where databases are incomplete - emerging startups, non-English markets, specialized verticals - a research-first approach (Onsa) or look-alike discovery (Ocean.io) might find prospects that Clay’s databases simply don’t contain.
Some teams use Clay for high-volume enrichment at the top of the funnel, then push high-priority segments to a tool like Onsa for deep research and personalized outreach. If you have the budget, this “wide net + deep dive” approach can be extremely effective. But for most teams under $500K ARR, picking one primary tool and committing to it will deliver better results than splitting attention across multiple platforms.
Yes - for the right team. If you have someone technical who can build and maintain enrichment workflows, Clay’s waterfall approach delivers unmatched data coverage. The Pro plan ($720/month) gives you access to 100+ data providers and powerful automation. But if you’re a small team without a GTM Ops specialist, you’ll likely use a fraction of Clay’s capabilities while paying full price. For most teams under 5 people, a simpler tool delivers better ROI.
Almost everything on this list has a lower entry price than Clay. Apollo starts at $49/user/month, Instantly at $37/month, Lusha at $22.45/user/month, and Persana AI at $68/month. But “cheaper” isn’t the right question - it’s “cheaper for equivalent value.” Apollo at $49/month provides database + sequences that would cost $149 (Clay) + $37 (Instantly) = $186+ if assembled from separate tools. Consider total stack cost, not individual tool pricing.
Increasingly, yes. AI agent platforms like Onsa.ai handle research, enrichment, and outreach in a single system. The tradeoff is control vs. convenience. Clay gives you granular control over every step. AI agents give you outcomes with less manual configuration. For finding B2B leads on LinkedIn, AI agents often outperform static database lookups because they can check real-time activity, recent posts, and job changes.
Depends on your team. Apollo wins on simplicity and value for money: database + sequences + dialer from $49/month, no workflow building required. Clay wins on enrichment depth: 100+ data providers, waterfall logic, and infinite customization. If your sales process requires specific, complex data enrichment (tech stack analysis, funding data, hiring signals from multiple sources), Clay is better. If you need to quickly build lists and start outreach campaigns, Apollo is better. Most teams under 20 people get more value from Apollo.
Several tools offer free plans: Apollo (unlimited email credits, limited export), Lusha (40 credits/month), Instantly (limited trial), Persana AI (basic features), and Onsa.ai (free tier). None of these free plans match Clay’s free tier (100 credits/month) in terms of enrichment flexibility, but Apollo’s free plan is arguably more useful for most salespeople because it includes email sequencing - something Clay’s free plan doesn’t offer at any tier.
For a startup with 1-3 salespeople and no dedicated ops person, I’d rank the options: (1) Onsa.ai if you want AI to handle research and outreach end-to-end, (2) Apollo.io if you want a traditional database + sequence approach at a reasonable price, (3) Instantly.ai if cold email is your primary channel and you already have lead lists. Clay would be my 4th or 5th choice for a startup - its power requires investment in learning and workflow design that most startups can’t afford early on.
Clay uses a credit-based system where every action consumes credits: enrichments, AI calls, row processing. On the Starter plan ($149/month), you get 2,000-3,000 monthly credits at roughly $75 per 1,000 credits. On the Pro plan ($720/month), you get 50,000-150,000 monthly credits at roughly $16 per 1,000. Credits roll over up to 2x your monthly allocation with annual billing. The complexity comes from layered consumption - a single prospect in a waterfall might trigger multiple enrichments, each costing credits. Failed lookups still cost credits. This makes actual cost-per-prospect difficult to predict until you’ve optimized your workflows.
Yes, and many teams do exactly this. Clay + Instantly is a popular combination (Clay for data, Instantly for email delivery). Clay + Lemlist works well for multi-channel outreach. The downside is managing two subscriptions, maintaining the integration between them, and debugging issues that span both platforms. If you go this route, budget for the combined cost: Clay Pro ($720/month) + Instantly Hypergrowth ($97/month) = $817/month before you add CRM costs. An integrated tool like Apollo ($79/user/month) or Onsa (free tier + paid plans) might be more cost-effective.
I’ve been in the B2B sales tools space long enough to know that no single tool is perfect for every team. Clay genuinely changed how growth teams think about data enrichment, and its waterfall approach remains best-in-class for complex, high-volume use cases.
But the market has evolved. AI agents can now do what used to require hours of manual workflow building. Integrated platforms combine database + outreach + CRM in ways that eliminate the “Frankenstein stack” of five separate subscriptions. And pricing models are shifting toward predictability - away from the credit anxiety that Clay’s model creates.
The best tool is the one your team will actually use. A perfectly configured Clay instance that nobody maintains is worth less than a simple Apollo setup that your reps use every day.
If you want to see what an AI-first approach looks like, try Onsa.ai - describe your ICP, watch the agents work, and decide for yourself whether the future of sales prospecting is building workflows or delegating to AI.
I’m Bayram, founder of Onsa. We’re building AI agents that handle B2B sales research and outreach end-to-end. If you want to debate any of these comparisons - or tell me where I’m wrong - find me on LinkedIn.
→ Apollo Alternative: Lessons from 6 Months