
Self-serve got you this far, freemium conversion won't move past a few percent, and the viral mechanics that drove early adoption don't reach the people who actually sign enterprise contracts. Growth strategy work rebuilds the model instead of running the same playbook harder.
Product-led growth stops compounding right around ten million in ARR
The self-serve motion that built the company was never designed to convert the accounts that matter most at scale – the ones with procurement teams, security reviews, and multi-seat contracts. Growth doesn't collapse, it just stops accelerating, and the team keeps running the same self-serve playbook harder instead of building the enterprise motion the business now needs.
Freemium users love the product and still won't pay for it
Engagement metrics look healthy, but the upgrade rate has stayed flat for several quarters running despite real product improvements. That's usually a sign the problem isn't the product – it's that the paywall sits in the wrong place in the user journey, or the upgrade moment isn't tied to a point where the user actually feels the value they'd be paying for.
The viral loop that drove signups doesn't reach who signs the contract
Individual users share the product and invite teammates, which is exactly what a viral growth model is supposed to do – but the people doing the inviting are rarely the ones with budget authority. Usage growth doesn't translate into revenue growth because the loop was built to drive adoption, not to reach the economic buyer who actually approves the purchase order.
We start with a full funnel and cohort audit – signup-to-activation rates, freemium-to-paid conversion by segment, viral coefficient by user role, and where growth has actually plateaued versus where it's still compounding quietly underneath a flat top-line number. For SaaS companies at this stage, the audit usually shows growth hasn't stopped so much as shifted to a segment the current model isn't built to monetize.
From there we build a hybrid growth model that layers a sales motion onto the existing PLG foundation instead of replacing it – defining which usage signals indicate enterprise readiness, and building the handoff so self-serve efficiency doesn't get sacrificed to add a sales function. We rework the freemium paywall placement around the specific moment a user experiences core value, rather than an arbitrary usage cap, and we redesign the viral loop to route invites and shares from budget-holding roles into a distinct, faster path than the ones coming from individual contributors.
Execution is embedded. We join your leadership meetings, own the growth model decisions directly, and work with your existing product, marketing, and sales teams rather than replacing them. We're explicit about which experiments run first and what decision each one is meant to inform, so the roadmap doesn't turn into an open-ended list of ideas nobody prioritizes.
Every change ties back to a measurement framework built around OKR-aligned growth metrics rather than vanity numbers like total signups. We track activation rate, freemium conversion by cohort, and enterprise pipeline sourced from self-serve usage, and report against those specifically so the team can tell which lever is actually moving revenue.
A stalled growth curve usually isn't a demand problem. It's a model problem – the growth engine that got you to ten million in ARR was built to answer a different question than the one the business is asking now.
Growth strategy engagements run on a 90-day sprint. The first 30 days are diagnostic – a full funnel and cohort audit, interviews with product, marketing, and sales, and a competitive benchmark to understand whether the plateau is company-specific or a category-wide pattern common to SaaS businesses crossing the same ARR threshold. This phase usually surfaces which of the three growth levers – PLG-to-sales handoff, freemium conversion, or viral loop targeting – is the highest-leverage fix.
Days 30 to 60 build the hybrid growth model and run the first structured experiments, each with a clear hypothesis, a measurement plan, and a decision rule for what happens if it works or doesn't. Days 60 to 90 scale whichever experiments moved the metrics that matter and shut down the ones that didn't, with weekly tracking against the OKRs set at the start of the sprint. Most engagements move into a second sprint focused on scaling the highest-performing lever rather than starting over with a new strategy deck.
Engagements open with a two to three week diagnostic: a full funnel and cohort data pull, interviews with product, marketing, and sales leadership, and a competitive benchmark against comparable SaaS companies at your stage. We deliver a written findings document that ranks the three growth levers by expected impact, so the first sprint targets the highest-leverage fix rather than the most familiar one.
We typically operate as a dedicated growth lead working two to three days a week embedded with your team, running structured experiments rather than delivering a strategy deck and stepping back. You provide access to product and revenue data along with decision authority on what to test; we provide the operator judgment on experiment design and prioritization.
Cadence is a weekly execution sync with product and marketing leads, a bi-weekly report on experiment results, and a monthly strategy review with company leadership tied to the OKRs set at the start of the engagement. Initial engagements run four to six months, with most clients continuing into a second phase once the highest-performing growth lever is identified and ready to scale.
If your SaaS company has flatlined at the PLG plateau and the usual playbook isn't moving the number, we should talk about where your funnel is actually leaking.
If your saas / tech 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.
Growth strategy engagements are typically priced around two to three days a week of dedicated operator time, which costs less than hiring a full-time VP of Growth once salary, equity, and the usual ramp period are factored in. Scope and pricing depend on how many growth levers – PLG-to-sales, freemium conversion, viral loop redesign – the engagement needs to cover at once.
Growth strategy decides which levers to pull and in what order, based on funnel and cohort data. Growth marketing executes specific campaigns within whatever strategy is already set. Companies that skip straight to growth marketing without the strategy layer often end up running well-executed campaigns against the wrong problem.
Usually, yes. Most freemium conversion problems are about paywall placement and timing rather than the product itself – we look at whether the upgrade prompt appears at the moment a user actually feels the value they'd be paying for, and adjust from there before recommending any product changes.
We define specific usage signals that indicate a self-serve account is enterprise-ready, then build a handoff process that routes those accounts to a sales conversation without disrupting the self-serve experience for accounts that aren't ready. The goal is one growth system with two paths, not two competing motions fighting for the same resources.
The diagnostic and first experiments take about six weeks. Early signal on which lever is working typically appears by 90 days, and meaningful movement in enterprise pipeline or conversion rate usually shows up over the following one to two quarters, depending on your sales cycle length.
Our growth strategy work is built specifically for B2B SaaS – the PLG-to-enterprise transition, freemium conversion for business buyers, and viral loops that need to reach budget-holding roles. B2C growth models involve different monetization and retention dynamics that call for a different approach.
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