Most B2C roadmaps get built around competitive parity and user requests, not growth impact. We build product management that ties every release to acquisition, engagement, and retention through systematic experimentation.
The Problem
Roadmaps get built around requests, not growth impact
Product teams prioritize by ticket volume, competitive parity, and stakeholder opinion, not by measured effect on acquisition, engagement, or retention. A team can ship a full quarter of releases and not know which one moved a single growth metric. That gap compounds: engineering time gets spent on features that satisfy a Slack thread instead of features that change user behavior.
Engagement gets treated as a UX problem, not a behavioral design problem
Consumer products live or die on habit formation, not on interface polish. Teams that only run usability testing catch confusing flows but miss the triggers, rewards, and friction points that actually determine whether someone opens the app again tomorrow. Without a testing framework for engagement hypotheses, retention work stays reactive – chasing churn after it shows up in the cohort chart instead of preventing it.
Monetization sits outside the product roadmap instead of inside it
Paywall placement, trial length, upsell timing, and ad load are treated as one-off pricing decisions instead of ongoing product experiments. That means a subscription flow or in-app purchase gets shipped once and never revisited, even as user behavior and acquisition mix shift underneath it. Product managers who've never run a monetization test end up guessing at price points instead of measuring them.
How We Help
We start with a growth product audit: pulling your product analytics, funnel data, and current roadmap to find where releases actually connect – or don't – to acquisition, engagement, and retention. Most B2C teams have never mapped their last two quarters of shipped features against movement in those three metrics. That map is where the real opportunities show up.
From there we build a growth strategy that treats behavioral design and monetization as first-class product work, not side projects. That means engagement hypotheses (what trigger, reward, or friction change should move a specific behavior) get written and tested the same way a feature spec would be, and monetization changes (paywall placement, trial length, upsell timing) get scoped as experiments with a hypothesis and a measurement plan, not shipped and forgotten.
We implement inside your existing product team rather than standing up a separate growth function. Product managers get an experimentation framework, a prioritization method that scores ideas by growth impact instead of stakeholder volume, and a measurement setup that ties releases to funnel and cohort data. This is product strategy work applied to the parts of the roadmap that are usually left to instinct.
As the framework proves out, we extend it – new user segments, new product surfaces, new monetization levers – so the team keeps compounding gains instead of relying on the audit period to catch everything at once. The goal is a product organization that runs its own growth experimentation long after the engagement ends.
What we deliver
- Growth product audit mapping recent releases against acquisition, engagement, and retention movement
- Experimentation framework and prioritization model scoring roadmap ideas by growth impact
- Behavioral design playbook for engagement triggers, retention loops, and monetization testing
- Measurement systems connecting product releases to funnel and cohort data, not just usage counts
Most B2C teams can tell you what they shipped last quarter. Few can tell you which release moved retention and which one didn't. That's the gap growth product management closes – not shipping faster, but shipping things you can measure.
Our Methodology
The first two weeks are an audit: product analytics, funnel performance, and the last two quarters of shipped features, mapped against actual movement in acquisition, engagement, and retention. Weeks three and four cover competitive and behavioral research specific to your consumer category – what habit loops and monetization patterns are working for comparable products right now, not a generic playbook.
Phase two builds the experimentation framework: a backlog of growth hypotheses prioritized by expected impact, a measurement plan for each one, and training for the product team on running and reading the tests. This replaces roadmap prioritization by opinion with prioritization by evidence.
What's different from a standard product management engagement is where the attention goes. A typical product consultant optimizes for shipping velocity and user satisfaction scores. We optimize for whether a release moved a growth number, and we build the measurement discipline so your team can keep answering that question after we're gone.
How We Work
Days 1-30: the growth product audit and behavior analysis, using your product analytics, user research, and current roadmap. Our team includes consumer product operators and people who've run behavioral experiments at B2C scale – not generalist strategists. You provide analytics access, current roadmap docs, and time with your product managers.
Days 31-60: we build the experimentation framework and measurement systems, and start training your product managers to run growth tests inside their normal sprint cycle. Weekly check-ins cover what's been set up and what the first test results are showing.
Days 61-90: experiments run, results get read, and we start scaling what worked into other user segments or product surfaces. Monthly reviews track which hypotheses paid off and which didn't – both matter for building the backlog.
Engagements typically run 6-9 months to get the full framework embedded and producing repeatable results. Most clients see engagement movement inside 90 days; monetization impact usually shows up by month four to six, once enough tests have run to separate signal from noise.
- User engagement and retention improvement
- Monetization optimization through product experimentation
- Growth experimentation capability development
- Consumer behavior optimization through systematic testing
If your b2c company needs growth product management leadership, we should talk.
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Frequently asked questions
How much does growth product management cost for a B2C company?
Engagements typically run $25,000-$45,000 a month depending on product complexity and how much experimentation infrastructure already exists. That covers strategy, framework setup, and hands-on optimization support. Compare that to a full-time growth product hire, which runs $140,000+ in salary alone before you account for the months it takes to find and ramp them. Most clients see the engagement pay for itself within two to three quarters through better retention and monetization.
How long before we see results from growth product management?
Engagement metrics usually move within 30-60 days once the first behavioral tests ship. Retention effects take longer to confirm – typically 60-90 days, since you need enough cohort data to trust the trend. Monetization experiments take 3-4 months to produce a clean read, because trial-length and paywall tests need a full cycle to compare against baseline. The framework itself keeps paying off after that as the team runs its own backlog.
How does the growth product work fit into our existing product team?
We embed inside your current process instead of standing up a parallel growth team. Your product managers learn the experimentation framework and run it inside their normal sprint cadence, with our team involved in prioritization and test design early on. There's no separate roadmap to reconcile – growth hypotheses go into the same backlog as everything else, just scored differently. Weekly working sessions keep priorities aligned with what leadership actually needs to see move.
What makes Winston Francois different from a typical product management consultant?
Most product consultants get hired to fix process – sprint cadence, backlog grooming, stakeholder alignment – and stop there. We get hired to move growth numbers, which means every recommendation has to trace to acquisition, engagement, or retention impact, not just delivery speed. Our team has actually run consumer behavioral experiments, not just advised on them. The output isn't a better roadmap process – it's a roadmap that's been tested against real user behavior.
How do you measure ROI on a growth product management engagement?
We track engagement and retention movement, experiment win rate, and revenue impact from monetization tests – not feature delivery counts. Every test gets a before/after read against its specific hypothesis, and we roll those up into acquisition cost and lifetime value impact where the data supports it. If a test doesn't move the number it was built to move, that gets reported too – the backlog only gets better if the losses are counted honestly.
What kind of B2C company should consider this service?
Companies with a live product, real usage data, and a development team that can ship experiments are the right fit – you need product analytics in place before growth testing produces a clean read. Pre-launch companies or ones still finding product-market fit need that groundwork first, not growth experimentation on top of it. The first step is the growth product audit, which tells you honestly whether there's enough signal in your data to build an experimentation program on.
