---
source_url: "https://kaliper.io/product-analytics-services/"
title: "Product Analytics Consulting - Funnel Insights & Growth Data | Kaliper"
mirrored_at: 2026-08-05T01:34:28.319Z
host: kaliper.io
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mirror_canonical: "https://index.42a.ai/kaliper.io/product-analytics-services/index"
---

> **Original source:** https://kaliper.io/product-analytics-services/

Product Analytics Services

## Product Analytics Consulting That Tells You _What Users Actually Do_

Most teams don’t have a product analytics problem they have a trust problem. Events fire inconsistently, three dashboards report three different activation numbers, and nobody’s confident enough in the data to make a call without a gut check. Kaliper builds product analytics you can actually act on: clean tracking plans, properly implemented platforms, and funnels, retention curves, and experiments that hold up under scrutiny. We’ve done this for 100+ clients over 8+ years, on Mixpanel, Amplitude, PostHog, Heap, and Statsig.

THE PROBLEM

Why Product Teams Stop _Trusting Their Own Data_

It usually starts small. A new feature ships, someone adds tracking for it without checking the existing taxonomy, and now “Signed Up” means three different things across web, iOS, and Android. Six months later, the product team is debating whether activation is up or down 8%, and the honest answer is nobody knows because nobody owns the definitions.

This is the normal state of product analytics at companies that bought a tool and skipped the implementation work. The platform isn’t the problem. Mixpanel, Amplitude, Heap, and Statsig are all capable of answering hard questions about user behavior. What’s missing is the unglamorous layer underneath: a tracking plan everyone follows, naming conventions that don’t drift, and someone responsible for catching breakage before it reaches a board deck.

That’s the layer we build.

![](https://kaliper.io/wp-content/uploads/2024/09/6384471-1.jpg)

SERVICES

## What We Do

##### Tracking Plan & Event Taxonomy Design

We map every event, property, and user trait your product needs to track, and we name them in a way that survives new feature launches without retrofitting. This is the foundation every platform implementation below depends on skip it, and you're rebuilding in a year.

##### Platform Implementation

Hands-on setup of your chosen product analytics platform instrumentation, identity resolution across web and mobile, server-side and client-side event capture, and QA against the tracking plan before anything ships to production.

##### Funnel, Retention & Cohort Analysis

We build the funnels and retention views that actually answer your questions where users drop off, which cohorts stick, and which onboarding paths predict long-term retention versus which just look good in a demo.

##### A/B Testing & Experimentation

Experiment setup and analysis using your product analytics platform's native testing tools or a dedicated experimentation layer, with proper statistical rigor so you're not shipping changes based on noise.

##### Dashboards & Reporting

Reporting built for the people who'll actually use it product managers tracking feature adoption, growth teams watching activation, leadership reviewing retention trends not a generic dashboard nobody opens twice.

##### Ongoing Support

Most teams don't need a full-time analytics hire; they need someone to keep the tracking plan enforced, fix breakage fast, and extend instrumentation as the product evolves. We offer retainer support for exactly that.

PLATFORMS

## Platform Implementation, _Done Right_

### Mixpanel

Mixpanel rewards teams that get the event taxonomy right from day one its self-serve dashboards are only as good as the data feeding them. We handle Mixpanel implementation end-to-end: event tracking setup, identity merging, and the kind of clean instrumentation that makes self-serve actually self-serve for your team.

### Amplitude

Amplitude’s strength is depth cohort analysis, predictive insights, and behavioral graphs that go further than most teams use. We set it up to match, including Amplitude-native experimentation for teams running structured A/B tests.

### Heap

Heap’s auto-capture is genuinely useful, but auto-capture without governance turns into thousands of meaningless events. We implement Heap with the naming and tagging discipline that keeps auto-captured data usable, not just abundant.

### PostHog: PostHog

PostHog’s appeal is having product analytics, session replay, feature flags, and experimentation in one open-source platform, with the option to self-host for teams that want full control over their data. We implement PostHog with the same tracking-plan discipline we bring to every platform: clean event taxonomy from day one, proper identity resolution across web and mobile, and instrumentation that takes advantage of session replay and feature flagging without turning into yet another tool nobody fully uses.

### Statsig

For product teams building experimentation into their core workflow, Statsig combines analytics with feature flagging and experiment management in one place. We implement Statsig for teams that want analytics and experimentation running on the same data, not two disconnected tools. Not sure which platform fits your product? That’s usually the first conversation we have — the right call depends on your team’s technical resources, your testing velocity, and what you’re already running upstream.

DIFFERENTIATION

## Why Companies _Bring Us In_

## We're consultants, not a platform reseller.

We don’t make money from which tool you pick. Our recommendations are based on your product, your team’s technical depth, and what you’re trying to learn not a partnership incentive.

## We fix what's already broken as often as we build new.

A large share of our product analytics work starts with an audit of an existing Mixpanel or Amplitude setup that’s drifted duplicate events, broken identity resolution, dashboards built on bad assumptions. We’ve seen the failure modes before.

## 8+ years, 100+ clients, across SaaS, mobile, and marketplace products.

We’ve implemented product analytics for companies at very different stages, from pre-PMF startups that need their first clean funnel to scaling products untangling years of inconsistent tracking.

## You get documentation, not a black box.

Every engagement ends with a documented tracking plan and schema your team can maintain so you’re not dependent on us for every future event you want to add.

PROCESS

## How _We Work_

## 1\. Audit & Discovery

We review your current analytics setup (or your goals, if you’re starting fresh) and identify where the data is unreliable, missing, or untracked.

## 2\. Tracking Plan Design

We define the events, properties, and naming conventions your product needs built to scale with new features, not break with them.

## 3\. Implementation

We implement the tracking plan in your chosen platform, including identity resolution across devices and platforms, and server-side tracking where client-side isn’t reliable enough.

## 4\. QA & Validation

Every event is tested against the tracking plan before launch. No assumptions, no “looks about right.”

## 5\. Dashboards, Funnels & Training

We build the views your team will actually use, then train your team to read and extend them confidently.

## 6\. Ongoing Support

Retainer support to keep the implementation clean as your product changes new features, new platforms, new questions.

## Stop Guessing About _What Your Users Do_

If your product team is debating whose dashboard is right instead of debating what to build next, that’s a tracking problem, not a roadmap problem. Let’s fix the data first.

FAQ

## Frequently Asked Questions