You know how many bought. See why the rest didn't.
GA4 and Shopify show outcomes, not behavior. We design the event schema, instrument your funnels, and build the retention, activation, and funnel dashboards that make repeat purchase visible, in Mixpanel, Amplitude, or PostHog.
Definition
What is product analytics?
Product analytics is the discipline of measuring what customers actually do inside your store and funnels: which checkout step they abandon, whether the quiz converts, what a first-time buyer does before becoming a repeat customer, and which behaviors predict churn. Where GA4 and Shopify report outcomes, sessions in and orders out, product analytics tools like Mixpanel, Amplitude, and PostHog track event-level behavior and turn it into funnels, retention cohorts, and activation reports. For DTC brands this is where the economics are won: CAC keeps climbing, so LTV:CAC and repeat-purchase rate decide who scales profitably, and you cannot improve retention you cannot see. A working setup starts with a documented event schema, gets instrumented with engineering discipline, and ends in dashboards a team actually uses. Anlyto delivers it in two parts: a Foundation covering audit and schema with implementation help as needed, and Dashboards built on top.
What a proper setup ships
Two offers
Foundation first, dashboards on top
The schema is the whole game. Get the taxonomy right once and everything built on it stays trustworthy. Start with the Foundation, add Dashboards when the data flows.
Product Analytics Foundation
from $1,500
We audit what your behavioral tracking captures today, then design the event schema your store should be running: taxonomy, naming, properties, and identity handling, mapped to your checkout, quiz, and subscription flows. Implementation is flexible: your developers build to our spec, we guide them through it, or we implement it ourselves as an add-on.
- Audit of your current behavioral tracking, what exists, what is broken, what is missing
- Event schema recommendation: taxonomy, naming, properties, identity handling
- Coverage mapped to your funnels: checkout, quiz, subscription, onboarding
- Tracking plan + governance doc your team can extend
- Implementation as an add-on: your devs build to our spec, we guide, or we do it
Best for: brands getting behavioral visibility for the first time, or inheriting a messy setup nobody trusts.
Product Analytics Dashboards
from $3,000
Built on top of a clean schema: the funnels, retention cohorts, activation reports, and behavioral segments that turn event data into decisions. This is where repeat purchase stops being a mystery, you see exactly who comes back, who does not, and what separates them.
- Funnels with drop-off quantified at every step
- Retention cohorts: first purchase to repeat, curves by segment
- Activation definition + reporting, who becomes a repeat customer
- Behavioral segments for lifecycle marketing and CRO
- Built in Mixpanel, Amplitude, or PostHog as shared team views
Best for: brands where retention is the growth lever and lifecycle or CRO work is on the roadmap.
Across both offers
The behavioral truth layer, piece by piece
From tool selection to segments your lifecycle and CRO work can actually target. Take the whole stack or the pieces you need.
Tool selection
Mixpanel, Amplitude, or PostHog, recommended for your stage, stack, and budget. Not the one with the bigger partnership.
- Pricing + feature fit
- Stack fit analysis
- Migration plan if needed
Event schema
A clean, documented taxonomy for every meaningful customer action. The naming, properties, and identity decisions everything else depends on.
- Event + property naming
- User identity handling
- Governance rules
Instrumentation
Implemented via GTM and the dataLayer or SDK, by your team to our spec, guided by us, or done by us as an add-on.
- GTM / dataLayer or SDK
- QA of every event firing
- Reconciled against known numbers
Funnels
Checkout, quiz, subscription, and onboarding flows with drop-off quantified at each step, so the biggest leak is obvious.
- Checkout step analysis
- Quiz + subscription flows
- Drop-off quantified per step
Retention + activation
Cohort curves from first purchase to repeat, and an activation definition that predicts who comes back.
- Repeat-purchase cohorts
- Retention curves by segment
- Activation reporting
Behavioral segments
Segments built on what customers do, not just what they bought, ready for lifecycle marketing and CRO targeting.
- Lifecycle-ready segments
- CRO test targeting
- Shared saved views
How it ships
Audit. Design. Instrument. See.
The schema is approved before anything is implemented, and the dashboards are reconciled against your store's known numbers before hand-off.
Audit
We review what your behavioral tracking captures today: which events exist, which are broken or misnamed, and where your key flows are invisible.
Design the schema
Event taxonomy, properties, and identity handling designed around your funnels and the retention questions that matter. Approved before any code.
Instrument
Your developers build to the spec, we guide them, or we implement it ourselves, then every event is QA'd firing correctly.
Build the views
Funnels, retention cohorts, activation reporting, and behavioral segments built as shared team views, with a walkthrough so the team answers its own questions.
After launch
Schemas rot without a gardener
New features ship, someone adds an event with a different naming style, and six months later nobody trusts the funnels again. The setup rolls into a retainer: schema governance, dashboard maintenance, and a regular insight review covering what changed, what mattered, and what to instrument or test next.
How we de-risk it
Four promises, in writing, on every engagement
We sell verification for a living, so the way we work has to survive it too.
Audit fee credited
Continue into implementation within 60 days and the audit fee comes off the project price. The diagnosis is never a sunk cost.
Nothing goes live without your sign-off
We never publish to your container, account, or store without your approval. Every change is staged, reviewed, and reversible.
Loom walkthrough handoff
Every engagement ends with a recorded walkthrough of what was built, how it works, and how to check it yourself. Rewatch it anytime.
30-day correction guarantee
If anything we implemented misreports within 30 days of handoff, we fix it free. No ticket, no invoice, no argument.
FAQ
Product analytics questions
What DTC founders ask us before we design a schema or build a dashboard.
Ready to see why customers don't come back?
Book a 30-minute discovery call. We'll map your flows, recommend a platform, and scope the Foundation. Fixed quote inside two business days.
Continue reading
Related services
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Audits
Not sure where the problem is? Five fixed-scope audits that find what's broken across tracking, CRO, paid media, and reporting.
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Reporting & Dashboards
Product analytics covers behavior; the BigQuery reporting stack covers profit, LTV, and inventory. Together they are the full picture.
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Growth Partner
Schema governance, dashboard maintenance, and a monthly insight rhythm so the behavioral layer stays trustworthy as the store changes.
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