Most B2C growth strategies optimize for reach and engagement while revenue attribution stays murky. We build operator-level growth systems that treat brand spending like performance campaigns – measurable, accountable, tied to a number on the P&L.
Brand spend has no connection to customer acquisition cost
Awareness campaigns deliver reach numbers that look impressive in a monthly deck but never trace to revenue. When you cannot connect a brand activity to a CAC movement, you are allocating budget on instinct, not evidence. Most B2C teams keep funding the channels they cannot attribute because cutting them feels like killing the brand, not because the math supports it.
Viral content drives shares, not purchases
A campaign that gets 50K shares and zero checkout conversions is not a success – it is a misaligned objective. Sharing behavior and purchase behavior respond to different triggers, and optimizing creative for one often suppresses the message that converts the other. Teams usually catch this only after a quarter of content spend has gone toward reach instead of revenue.
Growth metrics track activity, not outcomes
Follower counts, impressions, and engagement rates measure what your marketing team did, not what the business got. Put those numbers on the dashboard and the team optimizes for them, while revenue becomes someone else's problem. Fixing this is not a new reporting tool – it is rebuilding what gets measured, starting from the business outcome and working backward to the activity.
We start with your unit economics, not your marketing calendar. The first thing we assess is actual CAC by channel, LTV by cohort, and where your best customers originate. Most B2C teams have this scattered across four platforms and have never pulled it into one view – that audit is week one.
From there we build a growth roadmap anchored to payback period, not to what the team is excited about. If paid social carries a 6-month payback and referral carries a 90-day payback, referral goes into sprint one. The math is simple; applying it requires the discipline to pause campaigns already running.
On measurement, we implement attribution models that close the loop between brand activity and revenue. Not last-click – multi-touch models that correctly weight awareness channels against conversion channels, so you can defend brand spend to your board with numbers instead of narrative.
Execution runs in 90-day sprints with OKRs set at the start of each. We embed with your team rather than advise from outside – in the weekly standups, reviewing creative before it ships, flagging channel performance as it happens. The fractional model gives you senior operator judgment on growth strategy without a $350K salary on headcount.
Baselines get set before anything changes. At 30 days you see the first data. At 60 days you see what is working. At 90 days you have a decision point: scale, pivot, or extend.
Most B2C brands defend spend with reach metrics because they never built the attribution system that would let them defend it with revenue numbers. That is an infrastructure problem, not a strategy problem.
Our framework runs in three phases across the first 90 days. Phase one is the diagnostic – two weeks pulling your actual numbers, not the dashboard summary. We map CAC by channel, LTV by acquisition source, and conversion rates at every funnel stage, and we check your creative testing cadence and measurement infrastructure for where decisions are being made on bad data.
Phase two is strategy and early execution: a prioritized growth roadmap with OKRs tied to business outcomes, channel allocation restructured on payback analysis, and the first experiments launched with clear hypotheses and decision criteria.
Phase three is optimization and scaling. We run structured experiments, kill what is not working, scale what is, and hold monthly reviews with leadership connecting growth activity to business trajectory. Each sprint builds on the last sprint's data – that compounding is where the value sits, not in any single tactic.
Engagements open with a 2-week diagnostic: channel performance audit, funnel mapping, unit economics review, competitive benchmarking. We talk to your sales, marketing, and product leads to surface what the team knows that is not in the data.
Weeks 3-8 are strategy and launch. You get a prioritized growth roadmap, channel budgets restructured on payback analysis, and the first experiments running. Weekly syncs keep execution tight; bi-weekly reports show progress against targets.
From month 3 on we operate in optimization mode – running experiments, scaling winners, cutting spend on channels that cannot justify their position. Monthly strategy sessions with leadership keep growth targets tied to business objectives.
Engagements run 4-6 months. You get a dedicated growth lead embedded in your operating rhythm, not a project manager coordinating deliverables from the outside.
If your b2c company needs growth strategy leadership, we should talk.
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Typical engagements run $15K-$30K per month depending on scope, team size, and channel complexity – less than a senior in-house growth hire once you count salary, benefits, and ramp time. Engagements run 4-6 months minimum to reach the optimization phase where compounding returns appear. Scope, not headcount, is the main cost driver.
Performance branding measures brand campaigns like direct response – tracking how awareness activity drives consideration, trial, and purchase with revenue attribution attached. Traditional brand marketing optimizes for perception metrics that rarely connect to business outcomes. The difference is the measurement infrastructure underneath the creative, not the creative itself.
We build multi-touch attribution models that track how social content moves consumers toward purchase, which requires connecting social analytics to your CRM and checkout data – a link most teams have never built. Once the data is unified, we optimize social for conversion signals instead of engagement signals.
First signals appear at 30 days once baseline data is established and initial experiments are live. Directional results typically show at 60 days. Compounding returns, where each sprint's learning accelerates the next, start showing at 90 days – we set OKRs against this timeline so expectations are calibrated from the start.
Agencies sell outputs – campaigns, content, reports. We sell outcomes – CAC reduction, revenue acceleration, attribution infrastructure that survives after the engagement ends. The fractional model means we operate inside your team, attending standups and reviewing creative before it ships, instead of writing about problems in a monthly deck.
We work best with B2C brands that have product-market fit and are ready to scale – typically $5M-$50M in revenue, with marketing spend that is not clearly tied to growth outcomes. If you are pre-revenue or have not yet validated your acquisition model, the diagnostic phase will surface that fast and we will tell you what needs to happen first.
Tuesday, October 13, 2026
Frank Growth – Episode 241 – What AI Still Can’t Do with Will Sartorius
Tuesday, June 16, 2026
Frank Growth – Episode 224 – The Bootstrapper’s Revenge with Alex Roy
Tuesday, August 25, 2026
Frank Growth – Episode 234 – Nobody Has The Playbook Yet with Dave Steer
Tuesday, October 6, 2026
Frank Growth – Episode 240 – Commerce for Weirdos with Bryan House
Ready to unlock your growth?
Book Free Call