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Author: James Treacher

  • HubSpot vs Klaviyo vs your stack: choosing lifecycle tooling

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    HubSpot vs Klaviyo vs your stack: choosing lifecycle tooling

    The best lifecycle tool depends on your model, not the marketing. How to choose between HubSpot, Klaviyo and the alternatives — by use case, data and cost.

    A laptop showing CRM and lifecycle tooling

    The tool is the last decision, not the first

    Most businesses choose a lifecycle tool the wrong way round — picking the platform, then trying to fit their strategy to it. Get the strategy and data model right first (see lifecycle marketing), then choose the tool that serves it. That said, the platform choice matters, because migrating later is painful. Here’s how the main options actually differ.

    HubSpot — B2B relationship and CRM depth

    HubSpot is built around the CRM and the B2B relationship: contacts, companies, deals, and marketing/sales/service in one system. Its strength is B2B lifecycle where you’re managing longer, multi-touch relationships and want marketing and sales on the same record. Its trade-offs are cost as you scale and complexity you may not need for simple flows. Best for B2B and SaaS with a sales motion.

    Klaviyo — DTC and e-commerce behavioural power

    Klaviyo is built for e-commerce: deep integration with store platforms, powerful behavioural segmentation on purchase and browse data, and email/SMS flows tuned for retail. Its strength is DTC lifecycle — abandoned baskets, post-purchase flows, replenishment, win-back. Best for DTC and e-commerce where behavioural, transaction-driven messaging drives repeat revenue.

    The alternatives, and when “your stack” is fine

    Plenty of businesses run excellent lifecycle programmes on other tools — Customer.io, Braze, Salesforce Marketing Cloud, Omnisend, or even a well-configured combination they already own. The right question isn’t “which tool is best?” but “which tool fits our model, data and team, at a cost that makes sense?” Often the tool you already have, properly configured, beats a migration.

    How to actually choose

    • Model: B2B/SaaS with a sales motion → HubSpot-type CRM; DTC/e-commerce → Klaviyo-type behavioural platform.
    • Data: where does your customer and transaction data live, and how cleanly will the tool integrate with it?
    • Team: who will run it? Powerful tools underused are worse value than simple tools used well.
    • Cost at scale: model the cost as your contact list grows, not just today’s price.

    Frequently asked questions

    Is HubSpot or Klaviyo better?

    Neither universally — HubSpot suits B2B/CRM-led lifecycle; Klaviyo suits DTC/e-commerce behavioural lifecycle. Match to your model.

    Should we migrate tools to improve lifecycle?

    Usually only if your current tool genuinely can’t support the strategy. More often, better configuration of what you have wins.

    Do you have a preferred platform?

    We recommend based on your needs, not a reseller relationship — the strategy dictates the tool.

    Choosing or fixing your lifecycle stack? We’ll recommend based on your model, not a partnership. Book a discovery call →

  • The retention metrics that actually predict LTV

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    The retention metrics that actually predict LTV

    Not all retention metrics are equal. Cohort retention, repeat rate, revenue retention and churn — which ones actually predict lifetime value, and how to read them.

    Hands reviewing retention and cohort analysis

    Why retention is the metric behind the metric

    Lifetime value is the number that decides how much you can spend to acquire a customer — but LTV is a forecast, and it’s only as good as the retention data underneath it. Get retention measurement wrong and you’ll over- or under-estimate LTV, and mis-set your entire acquisition budget. So the retention metrics aren’t back-office reporting; they’re the foundation of your growth economics.

    The metrics that matter, and how to read them

    • Cohort retention. Track groups of customers acquired in the same period and watch what share remain active over time. Cohorts reveal whether retention is improving for newer customers — the single most important trend in a subscription or repeat-purchase business. A flattening retention curve (customers who stay past a point tend to stay) is the signal of durable LTV.
    • Repeat purchase rate / frequency (for DTC/e-commerce). What share of customers buy again, and how often — the engine of non-subscription LTV.
    • Revenue retention (for SaaS). Gross revenue retention shows how much recurring revenue you keep before expansion; net revenue retention includes upsell/expansion and can exceed 100% for healthy businesses, meaning existing customers grow even without new logos.
    • Churn rate. The inverse of retention — but read it carefully: customer churn and revenue churn can diverge sharply if you’re losing small customers but keeping large ones (or vice versa).

    Read them together, not in isolation

    Any single metric misleads. High repeat rate with falling average order value can still mean flat LTV. Low customer churn with high revenue churn means you’re keeping logos but losing money. The discipline is to read retention, revenue and value metrics together, in cohorts, over time — which requires the measurement stack to assemble them reliably. (See how to build a measurement stack you can trust.)

    From retention data to an LTV you can act on

    Once cohort retention is trustworthy, LTV becomes a usable number: you can set a defensible CAC ceiling, decide how aggressively to spend, and prioritise the lifecycle work (see lifecycle marketing) that bends the retention curve upward. Everything downstream — budgets, channel choices, board confidence — rests on getting this right.

    Frequently asked questions

    What’s the difference between gross and net revenue retention?

    Gross excludes expansion (how much you keep before upsell); net includes it and can exceed 100% when existing customers grow. Both matter.

    How many cohorts do we need to see a pattern?

    Enough time for a retention curve to flatten — often several months of cohorts. Short windows mislead.

    Is customer churn or revenue churn more important?

    Both — read together. Losing many small customers looks different from losing a few large ones, and the commercial impact is what counts.

    Want retention and LTV you can actually trust and act on? A Growth Diagnostic includes a measurement review. Request a Growth Diagnostic →

  • Fixing a lead-gen engine sales complains about (quality over volume)

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    Fixing a lead-gen engine sales complains about (quality over volume)

    “Marketing’s leads are rubbish.” Usually it’s not a channel problem — it’s ICP, qualification and alignment. Here’s how to fix lead quality without more spend.

    Sales and marketing discussing lead quality

    The complaint behind most B2B tension

    “Marketing’s leads are rubbish” is one of the most common — and most fixable — complaints in B2B. The instinct is to blame the channels and spend more to find better leads. Usually the channels are fine; the problem is upstream (a loose ICP), midstream (weak qualification), or at the handover (poor alignment). Fixing those often unlocks more pipeline from the leads you already generate than any new spend would.

    Diagnose the real cause

    Work backwards through the funnel:

    • ICP too broad? If you’re targeting “anyone vaguely relevant,” you’ll generate lots of poor-fit leads by design. Tighten to the accounts and roles with the best economics.
    • Weak qualification? If a “lead” is anyone who filled a form, of course sales finds them cold. You need scoring on fit, intent and readiness before anything reaches sales.
    • No shared definition? If marketing and sales don’t agree what “qualified” means, every handover is a dispute. Agree one definition, in writing.
    • Broken handover? Even good leads go cold if sales follows up slowly or without context. Fix the SLA and the information passed across.

    The fix, in order

    1. Sharpen the ICP so you stop generating poor-fit leads at the source. 2. Define “qualified” jointly with sales — fit, intent, readiness — and score against it. 3. Route by readiness: qualified leads to sales with context; not-yet-ready leads into nurture until they qualify (see lifecycle marketing). 4. Close the loop: sales tells marketing which leads were good, so the engine learns and improves.

    Measure quality, not just volume

    Shift the headline metric from MQL count to qualified pipeline and conversion from lead to opportunity to closed revenue. When you measure and reward quality, the whole engine reorients around it — and the complaint fades.

    Frequently asked questions

    Isn’t poor lead quality a channel problem?

    Occasionally, but far more often it’s ICP, qualification or alignment. Fix those before changing channels.

    What’s the fastest win?

    Usually agreeing a shared definition of “qualified” and fixing the sales handover — no extra spend required.

    How do we handle not-yet-ready leads?

    Nurture them via lifecycle marketing until they meet the qualification bar, rather than dumping them on sales or discarding them.

    Getting a lot of leads sales won’t touch? A Growth Diagnostic finds where the quality is leaking. Request a Growth Diagnostic →

  • From zero to pipeline: standing up B2B demand for a new venture

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    From zero to pipeline: standing up B2B demand for a new venture

    Launching a B2B proposition with no demand? Here’s the sequence for standing up a demand engine from zero — foundations, first channels, and the path to pipeline.

    A new venture team building its go-to-market

    Starting from nothing is a different problem

    Scaling an existing demand engine and building one from zero are different disciplines. From zero, there’s no data to optimise, no baseline, no proof the message lands — and often a venture partner or board watching for traction on a venture-pace clock. We’ve done exactly this: built a B2B venture’s entire demand engine from launch, generating 2,500+ qualified enterprise leads in the first year against a venture that had no marketing at all. [APPROVAL NEEDED] Here’s the sequence that works.

    Weeks 0–4 — Foundations before spend

    Resist the urge to launch campaigns on day one. First: a precise ICP (which accounts and roles, by fit and need), sharp positioning and a compelling offer (a reason for a busy buyer to engage), and — critically — a shared definition of “qualified” agreed with sales before any lead arrives. Stand up basic measurement so you can learn from the first pound. These foundations determine whether everything downstream works.

    Weeks 4–8 — Prove one or two channels

    Don’t build the whole engine at once. Prove one or two channels against the ICP — typically LinkedIn for account targeting plus a content-and-webinar motion to create engagement, or Google if there’s existing intent. The goal is early signal: which message, which channel, which offer generates genuine interest from the right accounts.

    Weeks 8–12 — Integrate into an engine

    Once you have signal, integrate the channels into a working engine — paid, content, events and PR reinforcing each other — with qualification and sales handover wired in. This is where a venture goes from scattered activity to a repeatable pipeline motion. Expect early qualified pipeline in this window; a mature, predictable engine takes longer.

    Reporting to partners and investment committees

    In a venture context, the growth story has a second audience: partners and the investment committee. Report in pipeline quality and commercial validation, not activity — evidence that the market wants this and that acquisition can be efficient. Growth that accelerates commercial validation is what earns the next tranche of confidence and capital.

    Common mistakes from zero

    Launching before the ICP and offer are sharp; chasing lead volume for a quick number; building every channel at once; and skipping the sales-alignment conversation. Each one costs weeks you don’t have.

    Frequently asked questions

    How fast can we see pipeline from zero?

    Foundations in weeks; early qualified pipeline typically in 60–90 days; a mature engine beyond that.

    Which channel should a new B2B venture start with?

    Usually LinkedIn for account precision, plus content/webinars to create engagement — or Google if real search intent already exists.

    Do we need sales involved this early?

    Yes — the shared definition of “qualified” and the handover have to exist before the first lead, or you’ll rebuild them under pressure later.

    Standing up B2B demand from zero is our home turf. Book a discovery call → or see growth for venture studios & VC.

  • Demand generation vs lead generation: why the difference decides your pipeline

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    Demand generation vs lead generation: why the difference decides your pipeline

    Lead generation captures contacts; demand generation creates qualified buying interest. Confusing the two is why sales ignores your leads. Here’s how they differ.

    Marketing and sales aligning at a whiteboard

    The distinction that fixes most B2B pipeline problems

    Marketing and sales spend a lot of energy arguing about lead quality. Underneath most of those arguments is a confusion between two different disciplines. Lead generation captures contact details — a form fill, a content download, a webinar sign-up. Demand generation creates and nurtures genuine buying interest in the right accounts, then qualifies it into pipeline. Lead gen answers “how do we collect contacts?”; demand gen answers “how do we make the right people want to buy, and get them to sales ready?” You need both — but in that order, and measured differently.

    Why lead volume is a trap

    Measure marketing on lead volume and you’ll get lots of leads — most of them not ready, not qualified, or not a fit. Sales ignores them, marketing points at the count, and trust erodes. The number went up; the pipeline didn’t. Volume optimises for the wrong outcome because a “lead” and a “buyer” are not the same thing.

    What demand generation does instead

    Demand generation starts from the ideal customer profile and works to create real interest: educating the buying committee, building credibility, and reaching in-market accounts through an integrated engine of paid, content, events and PR. It captures interest as leads, yes — but then qualifies them against a shared definition, so what reaches sales is genuinely worth their time. The metric isn’t leads; it’s qualified pipeline and its contribution to revenue. (See the full demand engine pillar.)

    Getting the order right

    The sequence matters: create demand, capture it, qualify it, hand it over. Skip demand creation and you’re just harvesting whatever thin intent exists. Skip qualification and you’re back to dumping volume on sales. Do both in order and the lead-quality argument mostly disappears — because the leads sales receives are the ones they actually want.

    Frequently asked questions

    Do we need both?

    Yes — demand generation creates and qualifies interest; lead generation captures it. Lead capture without demand creation just harvests thin intent.

    How do we measure demand gen?

    On qualified pipeline, pipeline velocity and contribution to closed revenue — not raw lead count.

    Where do most teams go wrong?

    Optimising for lead volume, and skipping the shared definition of “qualified” between marketing and sales.

    If sales is ignoring your leads, the fix usually isn’t more leads. Let’s talk. Book a discovery call → or explore B2B demand generation.

  • LinkedIn vs Google vs Meta for B2B: where your next pound should go

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    LinkedIn vs Google vs Meta for B2B: where your next pound should go

    Three very different B2B channels, three different jobs. How to decide where your next pound of paid budget should go — by intent, targeting and economics.

    A marketer working across channels on a laptop

    Three channels, three jobs

    The “which channel is best for B2B?” question is the wrong one — they do different jobs, and most effective B2B programmes use all three in proportion to their economics. The real question is where your next pound works hardest, given where you are.

    Google — capture existing intent

    Google Search reaches people actively looking for a solution. For B2B, that’s your highest-intent, most efficient demand — but it’s capped by how many people are searching for what you offer. Start here if there’s real search volume for your category: you’re harvesting demand that already exists, at the best efficiency you’ll find. The limit is that intent-capture can’t create demand where none exists yet.

    LinkedIn — reach the right accounts and roles

    LinkedIn’s advantage is precision: you can target by company, industry, seniority and role, reaching the exact buying committee for a considered B2B purchase. Cost per click is high, but for enterprise deals where one qualified opportunity is worth a lot, the economics can work well. LinkedIn is where you create demand in named accounts and build the awareness that makes your Google and outbound convert. The discipline is patience — it’s a pipeline channel, not a last-click bargain.

    Meta — scale and lower-cost reach

    Meta is often dismissed for B2B, wrongly. Its reach and low cost make it powerful for top-of-funnel awareness, content distribution and retargeting — reaching your buyers as people, not just job titles. For lower-ACV B2B and product-led motions it can be a genuine acquisition channel; for higher-ACV it’s a cost-effective demand and nurture layer. Judge it on assisted pipeline, not last-click.

    How to decide where the next pound goes

    • If there’s untapped search intent: Google first — it’s the most efficient demand available.
    • If you’re strong on Google but pipeline is capped: LinkedIn, to create demand in target accounts.
    • If awareness and content reach are the gap, or budgets are tight: Meta, for efficient top-of-funnel and retargeting.

    Then measure across channels on assisted pipeline and payback, not siloed last-click ROAS (see the paid acquisition pillar).

    Frequently asked questions

    Is LinkedIn too expensive for B2B?

    Per click, yes; per qualified opportunity in a high-value deal, often not. Judge it on pipeline, not CPC.

    Can Meta really work for B2B?

    For awareness, content distribution and retargeting, reliably; as a primary acquisition channel, mainly for lower-ACV or product-led models.

    Should we be on all three?

    Usually yes, in proportion to their roles and your economics — but sequence by where the next pound works hardest.

    Not sure how to split your B2B paid budget? A Growth Diagnostic models it against your economics. Request a Growth Diagnostic →

  • Creative testing that actually moves ROAS (a structured system)

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    Creative testing that actually moves ROAS (a structured system)

    One-off ad tests don’t move the needle. Here’s the structured creative-testing system — hypotheses, volume and clean reads — that reliably improves paid performance.

    A team reviewing creative during a presentation

    Creative is the new targeting

    As platform targeting has consolidated into broad, algorithm-driven delivery, creative has become the primary lever performance marketers actually control. On Meta in particular, the creative is the targeting — the algorithm finds the audience for whichever creative resonates. Which means a business that can reliably produce and test winning creative has a durable acquisition advantage, and one that ships creative by gut does not. The difference isn’t talent; it’s system.

    Why one-off tests fail

    Most “creative testing” is a handful of ads launched together, a glance at which did best, and a move on. This fails for three reasons: too little volume to reach significance, no hypothesis so you learn nothing transferable, and messy reads where budget and audience differences masquerade as creative differences. You get a winner for this week and no compounding knowledge.

    The structured system

    1. Hypotheses, not guesses. Every test asks a question — does a problem-led hook beat a product-led one? Does social proof beat a feature list? — so a result teaches you something you can reuse. 2. A concept-and-variant structure. Test distinct concepts (angles, hooks, formats) first; once a concept wins, iterate variants within it. Concepts move performance; variants refine it. 3. Enough volume and a clean read. Give tests enough budget and a fair structure to reach a trustworthy result, and hold other variables steady so you’re actually measuring creative. 4. A documented creative library. Record every winning principle — hooks, formats, messages — so wins compound into a playbook rather than evaporating. 5. Velocity. The rate of improvement is set by the rate of testing. This is where AI-assisted production earns its place: we’ve cut creative turnaround roughly in half with AI-assisted workflows, which means more concepts tested per month and faster compounding. [APPROVAL NEEDED]

    Measure creative on the right metric

    Judge creative on cost per acquisition and downstream conversion, not clicks or engagement. A high-CTR ad that doesn’t convert is a trap. Tie the read to a trustworthy measurement stack so you’re optimising to real outcomes.

    Frequently asked questions

    How many ads should we test at once?

    Enough distinct concepts to learn something, with enough budget each to reach a fair read — quality of hypothesis matters more than raw count.

    How long should a creative test run?

    Until it reaches a trustworthy result for your volume — rushing to a call on thin data is how false winners get scaled.

    Does AI-generated creative work?

    As a velocity multiplier for producing and iterating concepts, yes — but the hypothesis and the read still need a human. Speed without a system just produces more noise.

    Want a creative testing engine that reliably lowers CAC? Let’s build one. Book a discovery call →

  • How to lower your blended CAC without cutting spend

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    How to lower your blended CAC without cutting spend

    Blended CAC is a system outcome, not a channel setting. Five levers — measurement, spend efficiency, creative, conversion and retention — that lower CAC as you scale.

    A marketer reviewing acquisition costs on a notebook and phone

    Why blended CAC creeps as you grow

    Blended customer acquisition cost — total sales-and-marketing spend divided by new customers — almost always drifts upward as a business scales. You exhaust your cheapest, highest-intent demand first; new spend reaches less-qualified audiences; and organisational drag (more tools, more agencies, more meetings) quietly adds cost. The instinct when CAC rises is to cut spend, but that just shrinks growth. CAC is a system outcome, so the fix is to improve the system. Here are the five levers, in the order we usually pull them.

    Lever 1 — Measure it properly first

    You cannot lower what you cannot see. Separate blended CAC from paid CAC and channel CAC, and pair every CAC figure with a payback period — a “high” CAC with fast payback and strong retention may be perfectly healthy. Most CAC problems are partly measurement problems: last-click attribution hides where spend is genuinely efficient. Fix the measurement (see the measurement stack pillar) before you touch the budget.

    Lever 2 — Take the waste out of spend

    Before adding efficiency, remove inefficiency: overlapping audiences, campaigns too small to learn, budget on off-ICP segments, and channels credited for demand they only harvested. Restructuring accounts for signal and concentration frequently lowers CAC without touching total spend — you’re simply pointing the same money at better opportunities.

    Lever 3 — Fix the creative

    Especially on paid social, creative is the single biggest driver of efficiency. A structured creative-testing pipeline that reliably produces fresh winners lowers CAC more durably than any bidding tweak. (See creative testing that moves ROAS.)

    Lever 4 — Convert more of the traffic you’re already paying for

    Every point of conversion improvement lowers CAC directly, because you’re acquiring more customers from the same spend. Landing-page and funnel CRO is often the fastest CAC win available, and it compounds with everything else. (See landing-page CRO.)

    Lever 5 — Raise LTV so you can afford the CAC you have

    The quiet lever: improve retention and lifetime value, and the CAC you can profitably afford rises — which means the same acquisition cost becomes “efficient.” Lifecycle and retention work doesn’t lower the CAC number directly, but it changes what “too high” means. (See lifecycle marketing.)

    A 30-day CAC-reduction sequence

    Week 1: get CAC and payback trustworthy. Week 2: strip waste from account structure. Week 3: launch a creative test cycle and a landing-page test. Week 4: measure, scale the winners, and set the retention work in motion. Repeat — CAC reduction is a rhythm, not a one-off.

    Frequently asked questions

    What counts as a “good” CAC?

    There’s no universal number — it’s only meaningful against payback and LTV. Target a CAC your LTV comfortably supports with a payback you can fund.

    Blended vs paid CAC — which matters?

    Both. Blended shows the true cost of growth; paid CAC shows channel efficiency. Track them separately.

    How fast can CAC fall?

    Waste and conversion fixes can show within weeks; the durable gains come from the compounding creative and retention work over a quarter.

    Want to know which of the five levers will move your CAC fastest? A Growth Diagnostic tells you exactly that. Request a Growth Diagnostic →

  • Vanity metrics vs commercial metrics: what your board actually wants to see

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    Vanity metrics vs commercial metrics: what your board actually wants to see

    Impressions and clicks won’t survive a board meeting. Here are the commercial metrics — CAC, payback, LTV, pipeline quality — that actually earn confidence and budget.

    A pie chart representing marketing metrics

    Why vanity metrics quietly cost you credibility

    Impressions, clicks, reach, followers, even raw lead counts — they feel like progress and they’re easy to grow. But in a board meeting they do the opposite of what you want: they signal that marketing is measuring activity, not outcomes. The fastest way to lose a board’s confidence (and your budget) is to present numbers that go up while the business can’t see whether they translate into revenue. The fastest way to earn confidence is to speak the board’s language: cost, return, and time to payback.

    The commercial metrics that matter

    • CAC (customer acquisition cost) — blended and by channel. The question behind it: what does growth actually cost us?
    • Payback period — how long until an acquired customer repays their acquisition cost. This is the metric that determines how aggressively you can spend.
    • LTV (lifetime value) and the LTV:CAC ratio — is each customer worth materially more than they cost to acquire?
    • Contribution margin — the profit a cohort or channel actually contributes, after the costs of serving it.
    • Pipeline quality and velocity (for B2B) — not lead volume, but qualified pipeline and how fast it converts.

    These are the numbers a CFO already thinks in. Presenting marketing in these terms reframes it from a cost centre to a growth engine with a return.

    Why last-click ROAS is a vanity metric in disguise

    ROAS feels commercial, but last-click ROAS systematically misleads: it over-credits the final touch (brand search, retargeting) and under-credits the activity that created the demand. Optimising to it starves your top of funnel and flatters channels that were only ever harvesting existing intent. Payback and contribution margin, measured against a proper attribution approach, tell the truth. (More in our paid acquisition pillar.)

    You can’t report what you can’t see

    The reason most teams fall back on vanity metrics is simple: the commercial ones are harder to assemble. If CAC and payback take a fortnight of spreadsheet work, they won’t make it into the weekly view. That’s a measurement problem, and it’s fixable — a proper measurement stack puts CAC, payback and pipeline quality in one place, fast enough to act on. (See how to build a measurement stack you can trust.)

    The one-page board view

    We give leadership a single board-ready view: blended and channel CAC, payback period, LTV:CAC, contribution by channel, and pipeline quality — trended over time. No vanity metrics, no dashboard sprawl. A board that sees this stops asking “what are we getting for the spend?” and starts asking “where should we spend more?”

    Frequently asked questions

    Are clicks and impressions ever useful?

    As diagnostic signals within a channel, yes. As headline metrics for the board, no — they don’t connect to revenue.

    What’s a healthy LTV:CAC ratio?

    It varies by model, but many businesses target roughly 3:1 with a payback inside 12 months — the point is to know yours and trend it, not to chase a universal number.

    We can’t calculate payback reliably — where do we start?

    With the measurement stack. Getting CAC and payback trustworthy is usually the highest-return fix a growing business can make.

    Want your marketing reported in the numbers your board respects? A Growth Diagnostic includes a measurement and reporting review. Request a Growth Diagnostic →

  • Go-to-market strategy for scale-ups past product-market fit

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    Go-to-market strategy for scale-ups past product-market fit

    Product-market fit proves people want it. Go-to-market decides whether you can sell it efficiently at scale. Here’s how to build a GTM strategy that holds up.

    Founders discussing a go-to-market plan in a modern office

    What changes the day after product-market fit

    Before product-market fit, the job is to find something people want. After it, the job changes entirely: prove you can acquire and serve customers efficiently, repeatably, and at scale. Many founders don’t notice the shift, and keep running the scrappy, founder-led motion that got them to PMF — right up to the point it stops working. Go-to-market strategy is the bridge from “it works” to “it scales.”

    Sharpen the ICP for scale, not survival

    Early on, you take any customer who’ll pay. At scale, that’s a liability — a broad customer base fragments your positioning, inflates your CAC, and drags your retention. The first GTM move is to sharpen the ideal customer profile: which segments have the best economics (lowest CAC, fastest payback, highest LTV and retention), and concentrate there. Saying no to poor-fit segments is what makes efficient scale possible.

    Choose your growth motion deliberately

    There are three broad motions — product-led, sales-led, and hybrid — and the right one depends on your price point, buyer and product complexity. Low-price, self-serve products lean product-led; high-value, multi-stakeholder B2B leans sales-led; many scale-ups run a hybrid (product-led acquisition feeding a sales-assisted expansion). The mistake is drifting into a motion by accident rather than choosing one and building the channel strategy and team around it.

    Tie the channel strategy to unit economics

    Channel choices should follow the economics, not fashion. For each candidate channel, ask: what’s the CAC, what’s the payback period, and does it reach our sharpened ICP? A channel that’s cheap but off-ICP is expensive in disguise. Concentrate spend where the economics work and the buyers actually are — for most B2B scale-ups that’s a mix of intent capture (Google), account targeting (LinkedIn) and a demand engine (see our demand engine pillar); for DTC it’s usually Meta plus Google plus lifecycle.

    Build the operating model to deliver it

    A GTM strategy is only as good as the operating model beneath it — the measurement standards, the experimentation cadence, and the team-and-agency structure that turn the plan into repeatable execution. This is the difference between a deck and a growth function. Set the targets in commercial terms — CAC, payback, LTV, pipeline quality — and build the rhythm to hit them.

    A 90-day GTM sprint

    We typically stand up a scale-up’s GTM in a focused sprint: weeks 1–2 sharpen ICP and positioning; weeks 3–4 choose the motion and channel strategy; weeks 5–8 build the operating model and instrument measurement; weeks 9–12 launch, measure and iterate. Fast enough to matter, structured enough to hold.

    Frequently asked questions

    When should we invest in GTM strategy?

    Once you have clear early product-market fit signal — repeat usage, retention, willingness to pay. Before that, keep searching for fit.

    Product-led or sales-led?

    It depends on price point and buyer complexity. Low-price self-serve leans product-led; high-value B2B leans sales-led; many scale-ups run a hybrid.

    Should we build the GTM function in-house or bring in help?

    Often a fractional growth leader builds the model and hands it to your team to run — faster than hiring, cheaper than getting it wrong.

    If you’re past product-market fit and need a go-to-market approach that scales efficiently, let’s talk. Book a discovery call → or explore growth for start-ups & scale-ups.

  • How to build a 90-day growth plan (with the template we use)

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    How to build a 90-day growth plan (with the template we use)

    A 90-day growth plan turns ambition into a sequenced, measurable set of bets. Here’s the structure we use — and a free template — to make the next quarter count.

    A team planning priorities at a whiteboard

    Why 90 days is the right planning horizon

    Annual plans are obsolete by March; weekly firefighting never adds up to a direction. Ninety days is the sweet spot — long enough to ship something that moves a number, short enough that you can’t hide from the result. A good 90-day growth plan is not a list of activities. It’s a small set of prioritised bets, each tied to a measurable outcome, sequenced so the important work actually happens rather than getting crowded out by the urgent.

    We use the same structure whether we’re planning a quarter for a scale-up or one market of a multi-market venture. Here’s how it works.

    Step 1 — Name the single constraint

    Every growth plan should open with one sentence: the thing most limiting our growth right now is ___. It might be that CAC is too high to scale spend, that pipeline quality is poor, that conversion leaks after a strong top of funnel, or that you simply can’t measure what’s working. Naming the constraint is the hardest and most valuable step, because it forces prioritisation. A plan that tries to fix everything fixes nothing.

    Step 2 — Set one primary outcome and its metric

    Translate the constraint into a single primary outcome for the quarter, with a number attached: reduce blended CAC by X%, lift qualified pipeline by Y, improve landing-page conversion from A to B. One metric, owned by one person. Secondary metrics can exist, but the plan lives or dies by the primary. If you can’t measure the primary metric today, your first bet is fixing that (see our measurement stack pillar).

    Step 3 — Choose three to five bets, ranked

    Against the constraint and the outcome, list the handful of bets most likely to move the number, ranked by expected impact over effort. Resist the temptation to list ten — a quarter realistically delivers three to five things well. Each bet gets an owner, a hypothesis (“if we restructure paid audiences, CAC falls because spend concentrates on higher-intent segments”), and a success measure.

    Step 4 — Sequence into three 30-day phases

    • Days 0–30 — Foundations & quick wins. Fix measurement if needed, ship the fastest high-confidence bet, and remove obvious waste.
    • Days 30–60 — Build. Deliver the larger structural bets — the demand engine work, the CRO programme, the audience rebuild.
    • Days 60–90 — Compound & review. Scale what’s working, kill what isn’t, and prepare the next 90-day cycle from what you learned.

    Step 5 — Instrument the review rhythm

    A plan without a cadence is a wish. Set a weekly 30-minute review against the primary metric and the state of each bet, and a proper end-of-quarter retrospective. The rhythm is what turns a plan into an operating system — the discipline that makes each quarter build on the last rather than reset it.

    The template

    We give clients a one-page template: constraint, primary outcome + metric, three-to-five ranked bets (owner, hypothesis, measure), the 30/60/90 sequence, and the review cadence. Kept to one page on purpose — if it doesn’t fit on a page, it isn’t prioritised. (Available as a download — request it here.)

    The most common mistakes

    Plans fail in predictable ways: too many priorities, no named constraint, activity metrics instead of commercial ones, no owner per bet, and no review rhythm. Avoid those five and you’re ahead of most growing businesses.

    Frequently asked questions

    How is a 90-day plan different from an annual plan?

    The annual plan sets direction; the 90-day plan is how you actually move, with one measurable outcome and a handful of sequenced bets you can be held to.

    Who should own the plan?

    One accountable growth leader — founder, head of growth, or a fractional growth leader — with a named owner per bet.

    What if our constraint is “we can’t measure anything”?

    Then your first 30-day bet is the measurement stack. You can’t prioritise what you can’t see.

    Want an outside read on your next 90 days — the real constraint and the three bets that matter? That’s what a Growth Diagnostic delivers. Request a Growth Diagnostic →

  • Standing up growth from zero: a playbook for ventures and scale-ups

    Journal
    Journal

    Standing up growth from zero: a playbook for ventures and scale-ups

    Ventures stall for lack of a repeatable growth engine, not ideas. The playbook for standing up a growth function from zero.

    A venture rarely fails because the idea was wrong. It stalls because it never built a repeatable way to acquire and grow customers — a growth engine, not scattered campaigns.

    Weeks 0–4: foundations before spend

    A sharp ICP, positioning and an offer worth a busy buyer’s attention, and basic measurement. For B2B, agree the definition of “qualified” with sales before any lead exists.

    Weeks 4–12: prove, then integrate

    Prove one or two channels for early signal, then integrate the working channels into an engine with measurement and sales handover wired in.

    Build the playbook, not just campaigns

    The documented standards and demand blueprint are what make growth repeatable — and transferable across a portfolio. Report traction that earns investor confidence: pipeline quality and unit economics, not activity.