BurnRate vs Madlitics: Which is Better in 2026?
A comprehensive comparison of BurnRate and Madlitics covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose BurnRate if:
- →You want more affordable paid plans (from $12/mo)
- →You need a broader feature set (7 features vs 5)
- →You need per-subagent cost attribution for agents that spawn other agents or coverage across seven ai providers
Choose Madlitics if:
- →You need persistent first-touch attribution across sessions and return visits or automatic utm normalisation into a consistent schema
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BurnRate vs Madlitics: At a Glance
Pricing Comparison: BurnRate vs Madlitics
Understanding the pricing differences between BurnRate and Madlitics is crucial for making the right choice. Here's how their plans compare side by side.
BurnRate Pricing
Madlitics Pricing
💡 Pricing takeaway: Both BurnRate and Madlitics 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 BurnRate and Madlitics stacks up.
What Makes Each Tool Unique
🔵 Unique to BurnRate
Features available in BurnRate but not in Madlitics:
- ✓Per-subagent cost attribution for agents that spawn other agents
- ✓Coverage across seven AI providers
- ✓Local-first download rather than a hosted telemetry pipeline
- ✓Nine analytics tabs on Pro, three on Free
- ✓Optimisation engine with more than twenty rules
- ✓Model recommendations and operation-level cost breakdown
- ✓Team-wide cost management on the Team tier
🟣 Unique to Madlitics
Features available in Madlitics but not in BurnRate:
- ✓Persistent first-touch attribution across sessions and return visits
- ✓Automatic UTM normalisation into a consistent schema
- ✓Attribution fields written directly onto CRM lead records
- ✓Multi-site, unlimited-form tracking from one account
- ✓Covers paid, social, organic, shopping and AI referral channels
Use Case Recommendations
Best for: BurnRate
BurnRate is cost observability for AI coding tools, and its specific insight is subagent visibility. When Claude Code or a similar agent spawns subagents, the spend fragments across processes that no provider dashboard attributes back to the task that caused them — BurnRate surfaces every subagent that gets spawned and tracks per-agent cost across seven providers. That is a genuinely different measurement problem from generic LLM cost tracking, and it is the number engineering managers cannot currently get. The tool is local-first: you download and run it, and the free tier works without a credit card, which matters because the alternative is piping your development telemetry to a third party. The free plan gives a basic analytics dashboard with overview, sessions and costs tabs, support for three providers and 30 days of history — enough to see whether your spend has the shape you assumed. Pro unlocks the full analytics surface of nine tabs plus an optimisation engine with more than twenty rules, model recommendations and operation-level cost breakdown, at a price the company frames against an average saving of $50-plus a month. Team and Enterprise tiers extend to team-wide cost management. Around the product sits a content operation — a 2026 cost report, a five-day email course on cutting AI costs, a blog and an AI spend audit consulting offer — which suggests the company is monetising the expertise as well as the tool.
Ideal use cases:
- •Teams or individuals who need per-subagent cost attribution for agents that spawn other agents
- •Teams or individuals who need coverage across seven ai providers
- •Teams or individuals who need local-first download rather than a hosted telemetry pipeline
- •Teams or individuals who need nine analytics tabs on pro, three on free
- •Anyone focused on cost-tracking workflows
- •Anyone focused on observability workflows
Best for: Madlitics
Madlitics is marketing attribution for lead submissions, built for the very common failure where a CRM records half the pipeline as Direct and nobody can tell which spend produced it. A script in the site head starts capturing immediately; you then map Madlitics fields into new or existing forms so that source, channel and campaign are written onto every submission as structured data inside the CRM your team already uses, rather than living in a separate analytics dashboard nobody opens. Two details do most of the work. First-touch data persists as visitors browse and return, so the original origin survives the multi-session path most B2B leads actually take instead of collapsing to whatever referrer was present at conversion. And inconsistent UTM tagging is normalised automatically into a reliable schema, which is the difference between reports that reconcile across tools and reports that do not. Coverage spans paid, social, organic, shopping and AI referrals. Multi-site tracking runs from one account with unlimited forms and domains that can be added or removed freely, which suits agencies and consultants running attribution across several client sites. Setup is no-code, and the 14-day trial requires no card. The tier ladder is priced on lead volume and domain count.
Ideal use cases:
- •Teams or individuals who need persistent first-touch attribution across sessions and return visits
- •Teams or individuals who need automatic utm normalisation into a consistent schema
- •Teams or individuals who need attribution fields written directly onto crm lead records
- •Teams or individuals who need multi-site, unlimited-form tracking from one account
- •Anyone focused on attribution workflows
- •Anyone focused on utm workflows
📊 Other Analytics & BI Tools to Consider
BurnRate and Madlitics 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.
Trifle
Time-series product metrics that write into your existing database, with an MCP surface for AI agents
Is one of these your tool?
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Frequently Asked Questions
Is BurnRate better than Madlitics?
It depends on your needs. BurnRate offers 7 key features including Per-subagent cost attribution for agents that spawn other agents and Coverage across seven AI providers, while Madlitics provides 5 features including Persistent first-touch attribution across sessions and return visits and Automatic UTM normalisation into a consistent schema. BurnRate uses a freemium model with a free tier, while Madlitics is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is BurnRate cheaper than Madlitics?
BurnRate is cheaper, starting at $12/month compared to Madlitics's $19/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 BurnRate and Madlitics together?
Yes, many users combine BurnRate and Madlitics in their workflow. BurnRate excels at per-subagent cost attribution for agents that spawn other agents, while Madlitics shines with persistent first-touch attribution across sessions and return visits. 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 BurnRate and Madlitics?
While both are analytics & bi tools, BurnRate emphasizes per-subagent cost attribution for agents that spawn other agents, whereas Madlitics is known for persistent first-touch attribution across sessions and return visits. The best choice depends on your specific workflow and feature priorities.
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