Growth PMs operate at the intersection of data, experimentation, and user psychology. PM Toolkit gives you six interconnected calculators that cover the full growth loop — from diagnosing funnel drop-off to optimising unit economics — all in one free workspace.
Growth product management is one of the most quantitatively demanding roles in tech. Unlike feature PMs who optimise for user experience, growth PMs are directly accountable for the numbers: conversion rates, retention curves, activation milestones, and unit economics. Getting these numbers wrong — or worse, relying on gut feel instead of data — means shipping experiments that fail silently, misallocating acquisition budget, and missing the compounding effects that drive exponential growth.
PM Toolkit was designed to eliminate the spreadsheet chaos that most growth teams operate in. Every calculator is purpose-built for the decisions growth PMs face daily, and data flows seamlessly between tools so you spend less time copying numbers and more time finding insights. It is completely free because great PM tools should be accessible to every practitioner, not just teams at well-funded companies.
Six calculators covering every stage of the growth loop. Each one is connected — import data between tools to avoid manual re-entry.
Conversion rate is the primary lever growth PMs pull first. It reveals exactly where users drop out of your acquisition and activation funnel without requiring additional traffic. A 10% improvement in conversion rate has the same revenue impact as a 10% increase in paid spend — but at zero marginal cost. Use this calculator to identify your biggest funnel leaks and model the revenue uplift from fixing them.
Open CalculatorDAU/MAU is the single most important engagement metric for growth PMs because it captures whether users are forming a habit with your product. A rising DAU/MAU ratio indicates that your engagement initiatives are working. A falling ratio — even with growing MAU — signals a retention crisis that will eventually cap your growth ceiling. Track this weekly to detect early warning signs before they show up in churn data.
Open CalculatorRetention is the foundation that all sustainable growth is built on. Growth without retention is a leaky bucket — you acquire users faster than you lose them, but growth stalls the moment acquisition slows. Use cohort analysis to find your natural retention curve, identify the actions that separate retained users from churned users, and determine whether your growth initiatives are attracting users who actually stick around.
Open CalculatorGrowth PMs live and die by experimentation. The A/B test suite covers the full experiment lifecycle: pre-test planning to calculate sample size and test duration, live monitoring to detect early wins, and post-analysis to measure statistical significance. Running experiments without proper power analysis leads to underpowered tests that produce false negatives — the silent killer of growth programs.
Open CalculatorGrowth PMs are responsible not just for acquiring users but for acquiring the right users efficiently. CAC by channel shows you which acquisition sources produce customers who actually stay and spend. A channel with a high CAC but a proportionally high LTV can be more valuable than a cheap channel that brings in users who churn in 30 days. Connect this calculator to the LTV Calculator to compute your LTV:CAC ratio automatically.
Open CalculatorUnderstanding lifetime value is what separates growth PMs who focus on vanity metrics from those who drive sustainable revenue. LTV determines how much you can afford to spend acquiring a customer, which channels are economically viable, and where the ceiling on your growth investment sits. The LTV Calculator supports multiple calculation methods — simple, cohort-based, and margin-adjusted — to give you the most accurate picture for your specific business model.
Open CalculatorUse these calculators in sequence to run a complete growth cycle from diagnosis to optimisation.
Start with the Conversion Rate Calculator to map your full acquisition-to-activation funnel. Identify the single step with the highest drop-off rate. This is where a 1% improvement will have the greatest compounding effect on growth.
Check your DAU/MAU ratio to confirm that existing users are building a habit. If your ratio is below 15%, engagement improvements will outperform acquisition spend. If your ratio is healthy, you have the foundation to invest aggressively in top-of-funnel growth.
Run a cohort analysis in the Retention Analytics Calculator to find your natural retention floor. Identify the cohorts with the highest long-term retention and the actions they took in the first 7 days. These are your activation milestones.
Use the A/B Test Planning calculator to determine sample size before launching. After the experiment closes, analyse results in the Post-Analysis calculator to confirm statistical significance. Log the outcome and move to the next highest-impact hypothesis.
Connect the CAC Calculator and LTV Calculator to compute your LTV:CAC ratio by acquisition channel. Shift budget toward channels with ratios above 3:1. Deprioritise channels where the economics do not support profitable growth.
Growth PMs run more experiments per quarter than almost any other PM discipline. The difference between a successful growth programme and a chaotic one is process: rigorous pre-test planning, sample size discipline, and systematic post-experiment analysis. The A/B Test Suite on PM Toolkit covers all three stages to ensure every experiment produces learnings regardless of outcome.
Every growth team needs a single North Star Metric that connects daily product activity to long-term business value. For messaging apps it is often DAUs. For marketplaces it is transactions. For SaaS it is often MRR or active seats. PM Toolkit helps you track the input metrics — conversion, retention, engagement — that directly drive your North Star, so you can see which levers move the needle before the end-of-quarter results land.
The most common mistake early growth PMs make is scaling acquisition before retention is healthy. Pouring budget into paid channels with a 60-day retention rate below 10% results in a leaky bucket that becomes more expensive to fill over time. Use the Retention Analytics Calculator to establish your retention baseline before recommending aggressive top-of-funnel investment.
Growth without profitable unit economics is a temporary advantage. LTV:CAC ratio and CAC payback period are the guardrails that determine whether growth is sustainable. A healthy LTV:CAC ratio above 3:1 with a payback period under 12 months means you can reinvest growth profits to fund the next acquisition cycle. The CAC and LTV calculators on PM Toolkit are connected, so you can model both metrics simultaneously.
The fastest way to find your biggest growth opportunity is to map your full funnel and find the highest drop-off point. The Conversion Rate Calculator does this in under two minutes and shows you exactly how much revenue you recover by fixing each step.
Growth PMs rely most heavily on conversion rate calculators to diagnose funnel drop-off, A/B test calculators to validate experiments with statistical rigor, retention analytics tools to track cohort behaviour over time, and DAU/MAU ratio calculators to benchmark engagement health. CAC and LTV calculators are equally critical when growth work intersects with unit economics and channel efficiency.
PM Toolkit connects your growth metrics so data flows between calculators automatically. For example, your CAC figure from the CAC Calculator can be imported directly into the LTV Calculator to compute your LTV:CAC ratio without copy-pasting. This interconnected approach eliminates the context-switching and spreadsheet errors that slow growth teams down.
Yes. Every calculator on PM Toolkit is completely free with no sign-up required. The toolkit was built to give back to the product management community and lower the barrier to data-driven decision making for growth practitioners at any stage of their career.
A DAU/MAU ratio of 20% or above indicates solid engagement for most consumer apps. Messaging and social apps like Slack and WhatsApp often exceed 50%. B2B SaaS products typically target 15-25%. A ratio below 10% signals a retention problem that growth experiments alone cannot solve. Use the DAU/MAU calculator on PM Toolkit to benchmark your current ratio and model the impact of engagement improvements.