Grow MRR. Reduce Churn. Turn Data Into Product Decisions.

Post-launch SaaS growth - analytics setup, funnel optimization, experimentation, and feature adoption strategy driven by real user data.

Most SaaS products plateau after initial traction because growth decisions are made on instinct rather than data. SaaS growth is the discipline of turning user behavior into product and marketing decisions that compound over time.

This is post-launch work. We set up the measurement layer, map the funnel, design the experiments, and run the growth sprints. The output is not a report - it is measurable MRR movement.

Why It Matters

Improving activation by 10% and reducing monthly churn by 1% can double a SaaS product's revenue within 24 months without a single new acquisition dollar. Growth in SaaS is a retention and expansion problem before it is an acquisition problem.

  • An analytics foundation that makes growth decisions traceable and repeatable

  • Funnel analysis that shows exactly where users drop and what recovers them

  • Validated growth experiments with documented learnings and shipping recommendations

  • Feature adoption improvements that expand revenue from your existing user base

--NE

What You Get

  • Analytics Instrumentation - Event tracking setup in Mixpanel, Amplitude, PostHog, or your existing stack

  • Funnel Analysis - Full acquisition-to-retention funnel mapped with drop-off rates and revenue impact

  • Cohort & Retention Analysis - Retention curve analysis to identify churn patterns by segment and behavior

  • Growth Experiment Design - Hypothesis-driven A/B test plans for pricing, onboarding, and feature adoption

  • Experiment Execution - A/B test setup, monitoring, and statistical analysis of results

  • Feature Adoption Strategy - In-product campaigns, tooltips, and progressive disclosure to expand feature usage

  • Churn Intervention Design - Behavioral triggers and in-product and email interventions for at-risk users

  • Growth Sprint Reviews - Bi-weekly sprint reviews with findings, decisions, and next actions

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Our Typical Process

01.

Analytics Foundation

We instrument your analytics stack to capture the behavioral data needed to make growth decisions with confidence, not assumption.

01.

Analytics Foundation

We instrument your analytics stack to capture the behavioral data needed to make growth decisions with confidence, not assumption.

01.

Analytics Foundation

We instrument your analytics stack to capture the behavioral data needed to make growth decisions with confidence, not assumption.

02.

Funnel Mapping

We map your full acquisition, activation, and retention funnel to find where users drop and what drives them to stay.

02.

Funnel Mapping

We map your full acquisition, activation, and retention funnel to find where users drop and what drives them to stay.

02.

Funnel Mapping

We map your full acquisition, activation, and retention funnel to find where users drop and what drives them to stay.

03.

Experiment Design

We design and run structured A/B experiments on your highest-impact growth levers with proper statistical framing.

03.

Experiment Design

We design and run structured A/B experiments on your highest-impact growth levers with proper statistical framing.

03.

Experiment Design

We design and run structured A/B experiments on your highest-impact growth levers with proper statistical framing.

04.

Feature Adoption

We design feature adoption campaigns and in-product discovery patterns to expand usage across your existing user base.

04.

Feature Adoption

We design feature adoption campaigns and in-product discovery patterns to expand usage across your existing user base.

04.

Feature Adoption

We design feature adoption campaigns and in-product discovery patterns to expand usage across your existing user base.

05.

Retention Optimization

We identify the behavioral signals that predict churn and design the interventions that interrupt it before it happens.

05.

Retention Optimization

We identify the behavioral signals that predict churn and design the interventions that interrupt it before it happens.

05.

Retention Optimization

We identify the behavioral signals that predict churn and design the interventions that interrupt it before it happens.

Related projects

Why KICKFLIP?

Why KICKFLIP?

We run Panicframe and Agenticle as live SaaS products with real paying users. Growth decisions on those products are made with the same framework we apply here: instrument, measure, experiment, ship. This is not consulting advice - it is the same operating model applied to your product.

Analytics foundation in 2 weeks. First growth experiment running in week 4.

Hear It From Our Partners

--SE

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Discover More Services

Grow What You've Built.

Post-launch SaaS growth - analytics setup, funnel optimization, experimentation, and feature adoption strategy driven by real user data.

Grow What You've Built.

Post-launch SaaS growth - analytics setup, funnel optimization, experimentation, and feature adoption strategy driven by real user data.

Grow What You've Built.

Post-launch SaaS growth - analytics setup, funnel optimization, experimentation, and feature adoption strategy driven by real user data.

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