Heap vs Vemetric in 2026: Enterprise autocapture analytics vs open-source privacy-first analytics
One is a Contentsquare-owned platform built for enterprise product teams with sales-led pricing. The other is a $5-a-month open-source tool combining web and product analytics without cookies.
Heap
Vemetric- Heap autocaptures every interaction with no event planning; Vemetric requires custom event tracking but is fully open-source, meaning teams can audit or self-host the entire codebase.
- Vemetric's Professional plan costs $5 per month for unlimited projects and unlimited team seats; Heap discloses only its Free tier, with every paid tier requiring a sales conversation.
- Vemetric is cookieless and GDPR compliant by design; Heap does not market itself as a cookieless platform and relies on session-based tracking with a 10,000-session free tier cap.
- Vemetric auto-detects AI referral traffic from tools like ChatGPT and lets teams compare AI-sourced visitors against organic and direct traffic; Heap has no comparable AI-traffic detection feature.
- Heap has native iOS and Android SDKs for mobile app tracking, plus Heap Illuminate for automated correlation analysis; Vemetric's feature set is web and product analytics without a dedicated mobile SDK or an equivalent automated insight engine.
- Vemetric's free tier caps at 2,500 events per month and 1 month of data retention; Heap's free tier caps at 10,000 monthly sessions with 6 months of history.
Heap and Vemetric both cover product and behavioral analytics, but they sit at opposite ends of the market. Heap autocaptures every interaction from a single script, adds Contentsquare-backed data science through Illuminate, and requires a sales conversation for any paid tier beyond its capped free plan. Vemetric is an open-source, cookieless platform that combines web analytics and product analytics in one tool, prices its Professional plan at $5 per month for unlimited projects and seats, and is built for teams that want GDPR compliance by default rather than as an enterprise add-on. The gap between them is less about feature depth and more about who each tool is built to serve: a mature product organization with budget for a sales-led enterprise tool, versus an early-stage or privacy-conscious team that wants both analytics categories without a five- or six-figure contract.
The tools at a glance
Heap
Autocapture product analytics that records every user interaction automatically, so you never miss data from before you knew what to track.
Heap's defining mechanism is autocapture: install one script and it records every click, pageview, and form submission from that moment forward, with no event taxonomy planning required. Retroactive event definition lets a team answer a question today against months of historical data it never explicitly set out to track.
Heap Illuminate applies automated data science across the full behavioral dataset to surface which user paths correlate most strongly with conversion or retention. Native iOS and Android SDKs extend the same model to mobile apps, and the platform includes over 100 integrations with CRM, marketing automation, and data-warehouse tools.
Since Contentsquare's 2023 acquisition, Heap has gained session replay, heatmaps, and a shared Sense AI assistant, though those sit behind add-ons on Pro and Premier. The friction for evaluators is pricing: only the Free tier, capped at 10,000 monthly sessions, is public, and every paid tier requires a sales call before you see a number.
| Feature | Free $0 | Growth Contact sales | Pro Contact sales | Premier Contact sales |
|---|---|---|---|---|
| Monthly sessions | Up to 10k | Custom | Custom | Custom |
| Autocapture and retroactive events | Yes | Yes | Yes | Yes |
| Data history | 6 months | 12 months | Custom | Custom |
| Open-source / self-hostable | No | No | No | No |
| Mobile SDK (iOS/Android) | Yes | Yes | Yes | Yes |
Vemetric
Open-source, privacy-first analytics combining web traffic and product analytics in one cookieless platform.
Vemetric covers both marketing site analytics and product analytics in a single open-source, cookieless tool, tracking user journeys from anonymous visitor through identified account with session-level timelines and custom event tracking. The codebase is public on GitHub with 353+ stars, and self-hosting is a supported path for teams that need full data sovereignty.
AI Referral Detection automatically identifies and attributes traffic from AI tools like ChatGPT, letting teams compare AI-sourced visitor volume against organic and direct traffic and see whether those visitors convert differently, with no extra configuration required.
Pricing is aggressive: a genuinely usable Free tier and a Professional plan at $5 per month covering unlimited projects and unlimited seats. The tradeoff is that Vemetric is an earlier-stage, single-founder product with a smaller integration ecosystem and thinner documentation than more established competitors, and pricing is expected to rise as the platform matures.
| Feature | Free $0/mo | Professional From $5/mo |
|---|---|---|
| Events per month | 2,500 | 10,000+ |
| Projects | 2 | Unlimited |
| Team seats | 2 | Unlimited |
| Data retention | 1 month | 5 years |
| AI referral detection | Yes | Yes |
| Open-source / self-hostable | Yes | Yes |
Head-to-head feature comparison
| Feature | Heap | Vemetric |
|---|---|---|
| Autocapture / no-code instrumentation | Yes | No (custom event tracking) |
| Web analytics and product analytics combined | Product-focused, not marketing site analytics | Yes |
| Cookieless / GDPR by design | No | Yes |
| Open-source / self-hostable | No | Yes |
| AI referral traffic detection | No | Yes |
| Mobile SDK (iOS / Android) | Yes | No |
| Automated correlation / insight engine | Yes (Heap Illuminate) | No |
| Free tier | Yes (10k sessions/mo) | Yes (2,500 events/mo) |
| Pricing transparency | Free tier only, paid plans require sales | Fully public pricing |
| Starting paid price | Contact sales | $5/mo |
Considering AI Peekaboo alongside Heap and Vemetric?
Vemetric's AI Referral Detection tells you when traffic arrived from a tool like ChatGPT, and Heap has no equivalent feature at all. But neither tool tells you whether your brand is actually being mentioned or recommended inside AI-generated answers in the first place, which is a different question from tracking the traffic that trickles back afterward. AI Peekaboo monitors brand visibility and share of voice directly inside ChatGPT, Perplexity, and Gemini responses, which is the layer upstream of anything a referral-detection feature can see.
Read the AI Peekaboo review →Which should you choose?
VemetricHeapVemetricHeapVemetricHeapThis is largely a maturity-and-budget decision rather than a feature-for-feature one. Heap is the enterprise option: deeper automated analysis through Illuminate, native mobile SDKs, a 100-plus integration library, and pricing that assumes a sales-led buying process. Vemetric is the opposite bet: an open-source, cookieless tool at $5 a month that covers both web and product analytics for teams that cannot justify Heap's likely five-figure contract or do not want the cookie-based tracking model. Vemetric's documentation and integration ecosystem are genuinely thinner right now, which is the real cost of its price and privacy advantages.
Bottom line
Choose Heap if you are a funded product organization that needs autocaptured behavioral data across web and mobile, automated correlation analysis through Illuminate, and can absorb a sales-led enterprise pricing process. Choose Vemetric if you are an early-stage team, an indie developer, or a privacy-first organization that wants both web and product analytics in one cookieless, open-source tool at a price that will not force a budget conversation. If AI-driven traffic and brand visibility across ChatGPT or Perplexity matter more than either tool's core analytics, that is a separate, dedicated category neither one fully covers.
Frequently asked questions
Is Vemetric a real alternative to Heap, or is it too early-stage?
For teams that need core web and product analytics without cookies and at a low price, Vemetric is a genuine option: it is open-source, GDPR compliant by design, and covers funnels, user journeys, and custom events. It lacks Heap's autocapture mechanism, native mobile SDKs, and automated correlation engine (Heap Illuminate), so enterprise product teams with complex analytical needs are likely to outgrow it faster.
Does Heap have anything like Vemetric's AI referral detection?
No. Vemetric automatically identifies and attributes traffic from AI tools like ChatGPT with no extra configuration, letting teams compare AI-sourced visitors against organic and direct traffic. Heap has no comparable feature for detecting or attributing AI-tool referral traffic.
Why is Vemetric so much cheaper than Heap?
Vemetric is an open-source, single-founder product still early in its growth, with a Professional plan priced at $5 per month for unlimited projects and seats to build adoption; the company has stated pricing will rise as the product matures. Heap is an enterprise-grade platform backed by Contentsquare with a sales-led pricing model, deeper integrations, and features like Illuminate and mobile SDKs that justify a higher cost for larger organizations.
Can I self-host Vemetric instead of using Heap's cloud-only platform?
Yes. Vemetric's codebase is open-source and publicly available on GitHub, and self-hosting is a supported path for teams that need full data sovereignty. Heap has no self-hosted option; it is a cloud-only platform, which matters for teams under strict data residency requirements.
Which tool is better for tracking a mobile app, Heap or Vemetric?
Heap, clearly. It has native iOS and Android SDKs built specifically for mobile app behavioral tracking. Vemetric's documented feature set centers on web analytics and product analytics tracked via SDK integration into a product, without a dedicated mobile SDK comparable to Heap's.