Analytise vs Kobbe: Which is Better in 2026?
A comprehensive comparison of Analytise and Kobbe covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Analytise if:
- →You need assistant referral breakdown for chatgpt, perplexity, claude and copilot or no cookies, no device storage, zero personal records — no consent banner
Choose Kobbe if:
- →You need cookieless and privacy-friendly by design or revenue as a first-class dimension with stripe, shopify, whop and revenuecat integrations
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Analytise vs Kobbe: At a Glance
Pricing Comparison: Analytise vs Kobbe
Understanding the pricing differences between Analytise and Kobbe is crucial for making the right choice. Here's how their plans compare side by side.
Analytise Pricing
Kobbe Pricing
💡 Pricing takeaway: Both Analytise and Kobbe offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Analytise and Kobbe stacks up.
What Makes Each Tool Unique
🔵 Unique to Analytise
Features available in Analytise but not in Kobbe:
- ✓Assistant referral breakdown for ChatGPT, Perplexity, Claude and Copilot
- ✓No cookies, no device storage, zero personal records — no consent banner
- ✓Sub-1 KB script tag, works on any site or framework
- ✓Custom goals, funnels and journey analytics with autocapture
- ✓HTTP API and MCP server so agents can query your analytics
🟣 Unique to Kobbe
Features available in Kobbe but not in Analytise:
- ✓Cookieless and privacy-friendly by design
- ✓Revenue as a first-class dimension with Stripe, Shopify, Whop and RevenueCat integrations
- ✓MCP endpoint so agents like Cursor can query the analytics directly
- ✓Funnels, heatmaps, goal conversions and realtime visitors
- ✓Historical import at setup and every feature included at every tier
Use Case Recommendations
Best for: Analytise
Analytise is a cookieless web-analytics product built around one measurement the incumbent tools handle badly: how much traffic an assistant is sending. It breaks out referrals from ChatGPT, Perplexity, Claude, Microsoft Copilot and others as a first-class dimension alongside the usual visitors, pageviews, bounce rate and session length, which is the number anyone doing GEO or AI-visibility work currently has to reconstruct by hand out of a referrer report. The privacy posture is the second pillar and is unusually concrete: no cookies are set, nothing is stored on the visitor's device, processing happens server-side, data is anonymised automatically and the site states zero personal records are stored — which is what removes the consent-banner requirement rather than merely making it smaller. The tracker is a single script tag under 1 KB. Beyond referrals it covers custom goals and funnels, journey analytics showing source, time-to-complete and which goal fired, autocapture of clicks, rage clicks, dead clicks and form submissions with no manual event setup, revenue tracking, and up to three years of history with no sampling. For agent workflows there is an HTTP API and an MCP server, so Claude, Cursor or ChatGPT can query a site's analytics directly instead of a human opening a dashboard. Unlimited websites and unlimited team members are included.
Ideal use cases:
- •Teams or individuals who need assistant referral breakdown for chatgpt, perplexity, claude and copilot
- •Teams or individuals who need no cookies, no device storage, zero personal records — no consent banner
- •Teams or individuals who need sub-1 kb script tag, works on any site or framework
- •Teams or individuals who need custom goals, funnels and journey analytics with autocapture
- •Anyone focused on analytics workflows
- •Anyone focused on privacy workflows
Best for: Kobbe
Kobbe is privacy-friendly, cookieless web analytics with a revenue layer and an MCP surface. The measurement side covers the expected ground — overview dashboards, funnels built from pages and custom events, engagement KPIs, breakdown tables, heatmaps, goal conversions without wiring every click, and a realtime visitor view — but two things separate it from the crowded cookieless-analytics category. First, revenue is a first-class dimension rather than an add-on: the demo dashboard shows revenue alongside visitors and attributes it by referrer, with named integrations for Stripe, Whop, RevenueCat, Superwall and Shopify, so the question 'which channel produced money' is answerable in the product rather than in a spreadsheet. Second, it exposes an MCP endpoint so Cursor or another agent can query the analytics directly, which turns an ad-hoc question into a prompt instead of a dashboard hunt. Historical data can be imported at setup, so switching does not mean starting from zero. There is a live public demo dashboard browsable without signing up, which is the right way to sell an analytics product. Billing is by event volume on a single plan with every feature included at each tier, rather than gating features behind higher tiers, so a small site pays for the events it actually produces and still gets funnels, heatmaps and revenue attribution rather than a stripped entry plan that has to be upgraded to answer any real question.
Ideal use cases:
- •Teams or individuals who need cookieless and privacy-friendly by design
- •Teams or individuals who need revenue as a first-class dimension with stripe, shopify, whop and revenuecat integrations
- •Teams or individuals who need mcp endpoint so agents like cursor can query the analytics directly
- •Teams or individuals who need funnels, heatmaps, goal conversions and realtime visitors
- •Anyone focused on analytics workflows
- •Anyone focused on privacy workflows
📊 Other Analytics & BI Tools to Consider
Analytise and Kobbe aren't the only options. Here are other popular tools in the same space:
Amplitude
Product analytics platform with AI insights, funnels & retention analysis for PLG teams
Mixpanel
Event-based product analytics with AI insights and self-serve exploration
Chartsy
Chat-driven MRR, churn, and LTV analytics on top of your Stripe or Paddle data
Fusionaly
Self-hosted, ad-block-proof web analytics in one SQLite file and one Docker container, with a plain-language daily digest and optional natural-language querying via your own key.
Repohistory
Stores GitHub repository traffic past the 14-day retention limit GitHub enforces, with charted long-run analytics, org-wide overview and data export.
BurnRate
Local-first cost analytics for AI coding tools that tracks every subagent spawned across seven providers
Is one of these your tool?
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Frequently Asked Questions
Is Analytise better than Kobbe?
It depends on your needs. Analytise offers 5 key features including Assistant referral breakdown for ChatGPT, Perplexity, Claude and Copilot and No cookies, no device storage, zero personal records — no consent banner, while Kobbe provides 5 features including Cookieless and privacy-friendly by design and Revenue as a first-class dimension with Stripe, Shopify, Whop and RevenueCat integrations. Analytise uses a paid model with a free tier, while Kobbe is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is Analytise cheaper than Kobbe?
Both tools are similarly priced, starting at $9/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Analytise and Kobbe together?
Yes, many users combine Analytise and Kobbe in their workflow. Analytise excels at assistant referral breakdown for chatgpt, perplexity, claude and copilot, while Kobbe shines with cookieless and privacy-friendly by design. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Analytise and Kobbe?
While both are analytics & bi tools, Analytise emphasizes assistant referral breakdown for chatgpt, perplexity, claude and copilot, whereas Kobbe is known for cookieless and privacy-friendly by design. The best choice depends on your specific workflow and feature priorities.
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