Madlitics vs Trifle: Which is Better in 2026?
A comprehensive comparison of Madlitics and Trifle covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Madlitics if:
- →You want more affordable paid plans (from $19/mo)
- →You need persistent first-touch attribution across sessions and return visits or automatic utm normalisation into a consistent schema
Choose Trifle if:
- →You need a broader feature set (6 features vs 5)
- →You need writes time-series counters into your existing database — no separate metrics store or single track() call records counts, revenue and nested dimensional breakdowns together
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Madlitics vs Trifle: At a Glance
Pricing Comparison: Madlitics vs Trifle
Understanding the pricing differences between Madlitics and Trifle is crucial for making the right choice. Here's how their plans compare side by side.
Madlitics Pricing
Trifle Pricing
💡 Pricing takeaway: Both Madlitics and Trifle 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 Madlitics and Trifle stacks up.
What Makes Each Tool Unique
🔵 Unique to Madlitics
Features available in Madlitics but not in Trifle:
- ✓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
🟣 Unique to Trifle
Features available in Trifle but not in Madlitics:
- ✓Writes time-series counters into your existing database — no separate metrics store
- ✓Single track() call records counts, revenue and nested dimensional breakdowns together
- ✓Instrumentation libraries for Ruby, Elixir and Go
- ✓Dashboards, alerts and scheduled digests in Trifle App
- ✓AI agent analytics via a local SQLite mirror and an MCP server
- ✓Self-hostable source-available core with a free unlimited-user tier
Use Case Recommendations
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
Best for: Trifle
Trifle is a time-series metrics layer that deliberately refuses to be another observability stack. The pitch is that you already run a database, and product metrics — orders, revenue, signups, churn, background-job success rates, feature adoption by plan — do not justify standing up a separate columnar store and a separate query language to answer. Trifle's libraries write counters and hierarchical values straight into the database you already operate, so a single `Trifle::Stats.track` call with a key, a timestamp and a nested values hash records the order count, the revenue figure, the country breakdown and the acquisition channel in one shot. Three surfaces sit on top of that primitive: Trifle App for dashboards, digests and alerting; Trifle CLI for querying from a terminal or from an AI agent; and Trifle Stats, the open-source instrumentation libraries for Ruby, Elixir and Go. The AI-agent angle is the newest and the most interesting one for this catalogue — Trifle exposes metrics to agents through a local SQLite file and an MCP server, so a coding assistant can read your production KPIs without being handed warehouse credentials. The published case study claims a customer tracking 80 million daily product calculations and 900 million events a day on the design, which is a useful sanity check that the write-into-your-own-database approach scales past hobby volume.
Ideal use cases:
- •Teams or individuals who need writes time-series counters into your existing database — no separate metrics store
- •Teams or individuals who need single track() call records counts, revenue and nested dimensional breakdowns together
- •Teams or individuals who need instrumentation libraries for ruby, elixir and go
- •Teams or individuals who need dashboards, alerts and scheduled digests in trifle app
- •Anyone focused on time-series workflows
- •Anyone focused on metrics workflows
📊 Other Analytics & BI Tools to Consider
Madlitics and Trifle 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 Madlitics better than Trifle?
It depends on your needs. Madlitics offers 5 key features including Persistent first-touch attribution across sessions and return visits and Automatic UTM normalisation into a consistent schema, while Trifle provides 6 features including Writes time-series counters into your existing database — no separate metrics store and Single track() call records counts, revenue and nested dimensional breakdowns together. Madlitics uses a paid model with a free tier, while Trifle is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Madlitics cheaper than Trifle?
Madlitics is cheaper, starting at $19/month compared to Trifle's $39/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 Madlitics and Trifle together?
Yes, many users combine Madlitics and Trifle in their workflow. Madlitics excels at persistent first-touch attribution across sessions and return visits, while Trifle shines with writes time-series counters into your existing database — no separate metrics store. 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 Madlitics and Trifle?
While both are analytics & bi tools, Madlitics emphasizes persistent first-touch attribution across sessions and return visits, whereas Trifle is known for writes time-series counters into your existing database — no separate metrics store. The best choice depends on your specific workflow and feature priorities.
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