Amplitude vs Cometly in 2026: Product Behavior Analytics vs B2B Ad Attribution to Closed-Won ARR
One tracks what users do inside your product and starts free at 50,000 tracked users. The other tracks what ad campaigns produce in actual closed-won revenue, and never publishes a price.
Amplitude measures in-product user behavior: funnels, retention, and experimentation. Cometly measures ad-to-revenue attribution: which campaign produced pipeline and closed-won ARR.
Amplitude has a free Starter tier covering 50,000 monthly tracked users. Cometly publishes no pricing at all and bills on website sessions, both tiers require a sales call.
Cometly connects first ad touch to closed-won ARR against real CRM deal values, correcting for B2B sales cycles that run 60 to 90 days past a standard attribution window.
Both tools now track AI-sourced traffic, but differently: Amplitude tags brand mentions in ChatGPT and Perplexity answers, while Cometly attributes revenue to sessions arriving from ChatGPT, Gemini, Grok, and Google AI Overviews.
Cometly ships an MCP integration that lets Claude query attribution data by natural language, but it is gated to the Enterprise plan. Amplitude has no MCP integration of any kind.
Amplitude includes feature experimentation and A/B testing tied to its own behavioral data, starting at the Growth plan. Cometly has no experimentation tooling; it measures spend outcomes, not in-product tests.
Neither tool offers white-label delivery, so an agency reselling either platform to clients needs a separate reporting layer for branded output.
Amplitude and Cometly both sit under "analytics" in a tool directory, but they answer questions that rarely come from the same person. Amplitude tells a product manager what a user did between signup and churn: which funnel step lost them, which feature drove retention, which experiment moved the needle. Cometly tells a demand-gen or RevOps lead which ad dollar, on which campaign, eventually became a closed-won deal in the CRM, sometimes 90 days after the click. A team evaluating both at once is usually really deciding between two separate budget lines, not choosing a single winner. This comparison lays out what each one is actually built to measure, so you are not buying ad attribution when you needed funnel analytics, or the reverse.
The tools at a glance
Amplitude
AI-powered product intelligence platform combining behavioral analytics, experimentation, and session replay
Amplitude builds its entire analytics model around behavioral events rather than page views or sessions. Every action a user takes becomes part of a lifetime timeline, which is what makes funnel analysis, retention cohorts, and path analysis possible at a level of detail that campaign-level attribution tools were never built to provide. If the question is "why did this user churn in week two," Amplitude is built to answer it.
The platform has expanded into feature experimentation, session replay tied to the same event timeline, and a data governance layer that enforces event schemas before bad instrumentation corrupts the dataset. AI Agents, available from the Growth plan, automate cohort discovery and funnel diagnosis that would otherwise take an analyst hours to construct manually. None of this touches ad spend or revenue attribution directly; Amplitude assumes the user is already in the product.
A newer, thinner addition is AI visibility tracking, which surfaces how a brand appears in ChatGPT and Perplexity answers. It is bundled into the same dashboard as product analytics rather than sold as a standalone capability, and it covers far less ground than a dedicated AI visibility platform. The real friction for most teams is cost: Starter is free up to 50,000 tracked users, but Growth and Enterprise both require a sales conversation, and that is where the deeper features live.
| Feature | Starter Free | Plus $49/month | Growth Contact for pricing | Enterprise Contact for pricing |
|---|---|---|---|---|
| Monthly tracked users | 50K | 1K-100K | Custom | Custom |
| Session replay | ✓ | ✓ | ✓ | ✓ |
| Feature experimentation | ✗ | ✗ | ✓ | ✓ |
| AI Agents | ✗ | ✗ | ✓ | ✓ |
| Data governance | ✗ | ✓ | ✓ | ✓ |
| Warehouse connectors | ✗ | ✓ | ✓ | ✓ |
| API access | ✓ | ✓ | ✓ | ✓ |
Cometly
B2B SaaS ad attribution that connects every campaign dollar to pipeline created and closed-won ARR.
Cometly exists to answer one question that generic web analytics gets wrong for B2B SaaS: did this ad campaign actually produce revenue, not just a form fill or a booked demo. It tracks every session from the first ad impression through booked demo, deal created, and closed-won ARR, calculating LTV ROAS against real CRM deal values instead of platform-reported conversion estimates that inflate performance.
Server-side tracking through a Conversion API recovers sessions that ad blockers and iOS restrictions would otherwise erase, which matters more for B2B campaigns where conversion volume is already low. Cometly also auto-detects and attributes traffic from ChatGPT, Gemini, Grok, and Google AI Overviews as named channels, giving the same pipeline and ARR metrics to AI-sourced visits that it gives to Google Ads or LinkedIn Ads traffic.
The Enterprise plan adds CRM and warehouse sync with Snowflake and BigQuery, a dedicated solutions engineer, and an MCP integration that lets Claude answer attribution questions in natural language without opening the dashboard. None of this is priced publicly; Cometly bills on website sessions and every quote starts with a sales call, which is a real barrier for teams that want to self-serve evaluate before committing budget.
| Feature | Core Usage-based, contact for pricing | Enterprise Custom |
|---|---|---|
| Pricing model | Based on website sessions | Custom |
| Server-side tracking | ✓ | ✓ |
| Multi-touch attribution | ✓ | ✓ |
| Ask AI | ✓ | ✓ |
| CRM and warehouse sync | ✗ | ✓ |
| MCP integration | ✗ | ✓ |
| Cometly API | ✗ | ✓ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Primary use case | Product teams building SaaS or app experiences | B2B SaaS marketing teams attributing ad spend to closed-won ARR |
| Behavioral funnels and retention | Yes (event-based funnels, retention, path analysis) | No |
| Ad-to-revenue attribution (closed-won ARR) | No | Yes (first ad touch through closed-won ARR, tied to CRM deal values) |
| Session replay | Yes (all tiers) | No |
| A/B testing / experimentation | Yes (Growth and Enterprise, via Amplitude Experiment) | No |
| AI-assisted analysis | Yes (AI Agents, Growth and Enterprise) | Yes (Ask AI and AI Ads Manager, both tiers) |
| AI/LLM traffic tracking | Yes (early-stage ChatGPT and Perplexity brand mention tracking) | Yes (auto-detects ChatGPT, Gemini, Grok, and Google AI Overviews as attribution channels) |
| MCP integration for Claude | No | Yes (Enterprise only) |
| CRM sync | Yes (via general integration catalog, not attribution-specific) | Yes (Enterprise only) |
| Data warehouse connectors | Yes (Plus and above: Snowflake, BigQuery, Redshift) | Yes (Enterprise only: Snowflake, BigQuery) |
| API access | Yes (all tiers) | Yes (Enterprise only) |
| Free tier | Yes (Starter, 50K monthly tracked users) | No |
| White-label delivery | No | No |
| Starting price | Free (Starter); $49/mo (Plus) | Usage-based on sessions, contact for pricing (both tiers) |
Neither tool gives you dedicated AI answer-engine visibility tracking

Amplitude tags brand mentions in ChatGPT and Perplexity as a thin add-on to product analytics, and Cometly attributes revenue to sessions that arrive from ChatGPT, Gemini, Grok, or Google AI Overviews, but neither tracks prompt-level citation data or where your brand is being recommended versus simply mentioned. AI Peekaboo runs alongside either platform as a dedicated layer, tracking ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode with a read and write API from $50 per month plus white-label reporting, which is a gap both Amplitude and Cometly leave for agencies that need to report on AI visibility specifically.
Read the AI Peekaboo review →Which should you choose?
This is not really a head-to-head, because the two tools rarely compete for the same purchase decision. Amplitude answers questions about what a user does after they arrive in your product. Cometly answers questions about which ad dollar got them there and whether it ever turned into revenue. A B2B SaaS company with a real paid acquisition budget and a product team both need answers, and in practice that usually means running both rather than picking one over the other.
Bottom line
If your job is understanding in-product behavior, retention, and running experiments, start Amplitude free at 50,000 tracked users and only move to Growth once you actually need feature experimentation or AI Agents. If your job is proving which campaign produced closed-won ARR against a long B2B sales cycle, book the Cometly call and come with your monthly session volume ready, since that is what drives the quote. Trying to make Amplitude answer ad attribution questions, or Cometly answer product behavior questions, means fighting the tool instead of using it.
Frequently asked questions
Can Cometly replace Amplitude for product analytics?
No, Cometly has no behavioral funnel, retention, or session replay features at all, since it is built entirely around ad attribution and revenue tracking rather than in-product user behavior. A team that needs to know why users churn in week two, or wants to run an in-app A/B test, still needs Amplitude or a comparable product analytics tool alongside Cometly.
Does Amplitude track ad campaign attribution the way Cometly does?
No, Amplitude has no feature that connects ad spend to closed-won CRM revenue across a multi-month sales cycle. It measures what happens after a user is already inside your product, not which campaign brought them there or whether that campaign eventually closed as a deal. Cometly is built specifically for that revenue-attribution question.
Which tool is cheaper to start with, Amplitude or Cometly?
Amplitude is clearly cheaper to start with since its Starter tier is free for up to 50,000 monthly tracked users and Plus is a published $49 per month. Cometly publishes no self-serve pricing at all and bills on website sessions, so every prospect has to go through a sales call before learning the cost.
Do both Amplitude and Cometly track traffic from AI tools like ChatGPT?
Yes, but for different purposes. Amplitude tags brand mentions inside ChatGPT and Perplexity answers as an AI visibility feature, while Cometly attributes actual website sessions and downstream revenue to visits arriving from ChatGPT, Gemini, Grok, and Google AI Overviews. One is about brand mentions, the other is about attributed traffic and pipeline.
What does Cometly's MCP integration for Claude actually let you do?
It lets you ask Claude natural-language questions like which campaign produced the most closed-won ARR last quarter and get the answer pulled directly from Cometly's attribution data, without logging into the dashboard. It is an Enterprise-only feature, and Amplitude has no equivalent MCP integration on any plan.
Is it normal for a company to use both Amplitude and Cometly?
Yes, this is common at B2B SaaS companies with both a paid acquisition budget and a product team that needs behavioral data. Cometly answers whether ad spend produced revenue; Amplitude answers what users who converted actually do inside the product afterward. The two data sets rarely overlap enough to make either one redundant.

