Customer Acquisition Strategy
Know exactly where your next customer is coming from.
A documented acquisition strategy with channel economics, ICP sequencing, and activation logic, so every channel you run has a reason to run.
Most companies do not have a customer acquisition strategy, they have a list of channels they are running. Strategy means knowing which customers to acquire first, which channels reach them most efficiently, what the economics look like at current and target scale, and in what sequence to activate each channel. Without that, you are running marketing by instinct and optimising tactics without a model. The strategy engagement produces the model.
Why channel selection is a strategic decision, not a tactical one
Choosing which channels to run for customer acquisition is one of the most consequential marketing decisions a business makes, and one most commonly made on insufficient information. The typical decision process: the founder has seen a competitor succeed on LinkedIn, so LinkedIn gets a budget. An advisor recommends Google Ads, so that gets a budget too. Meta Ads adds volume. The result is budget distributed across three channels with no model for what each channel should produce, no baseline for comparison between them, and no decision rule for when to reallocate. A documented customer acquisition strategy inverts this process: it starts with the unit economics requirement for a new customer, determines what CAC the business model can support at current and target scale, identifies which channels can reach the ICP at that CAC, and sequences their activation in an order that maximises learning before committing significant capital to any single channel.
CAC modelling: building the business case before the first campaign
CAC modelling builds the economic case for channel selection before any budget is committed. The model uses estimated cost per lead by channel drawn from industry benchmarks and any historical data available in the account, expected conversion rates from lead to sales-qualified opportunity and from opportunity to customer for each channel based on the ICP match quality that channel can deliver, and the resulting blended CAC by channel. That modelled CAC is then compared against the maximum supportable CAC given the business model: the average contract value, the gross margin, and the target LTV to CAC ratio required for the unit economics to work at scale. Channels where the modelled CAC falls within the supportable range are candidates for activation. Channels where it exceeds the supportable range require a clear hypothesis for how the economics can be improved before budget is committed. The model is updated with actual campaign data as it accumulates and used to drive ongoing channel mix decisions.
Sequencing the activation plan to maximise learning before scaling
Activating all acquisition channels simultaneously is a common error in early-stage or pivot-stage GTM planning. It distributes budget too thinly for any single channel to generate statistically reliable data, makes it impossible to attribute outcomes to specific channels because too many variables are changing simultaneously, and creates more campaign management work than can be done well with limited team resources. The correct activation sequence starts with the one channel most likely to reach the primary ICP with the highest signal quality given the budget available. That channel runs for long enough to generate reliable performance data, typically 6 to 8 weeks of active campaign management at meaningful spend levels. Only once the CAC and conversion rate data from the first channel is reliable is a second channel activated. Each subsequent channel is evaluated against the incremental pipeline it produces over the baseline established by the channels already running. This sequencing builds the acquisition stack on evidence rather than assumption.
Customers ranked by revenue potential, cost to acquire, speed to close, and strategic fit, so the acquisition effort is sequenced toward the highest-value segment first.
Estimated and validated CAC by channel at current and target spend levels, with payback period and LTV:CAC ratio for each segment and channel combination.
Recommended acquisition channels with rationale: which channel reaches which ICP, at what cost, with what conversion behaviour, and which channels to run in sequence.
Spreadsheet model showing how acquisition spend inputs produce ARR outputs, with sensitivity analysis on key variables like CAC, churn, and conversion rate.
0-to-90-day channel activation plan: which channels to launch first, at what budget, with which offer, and what data is needed before the next channel is added.
North Star metric, leading indicators, and channel-specific KPIs defined before launch, so you know immediately if the strategy is working or needs adjustment.
- 01Closed-won analysis: identify the top 10–20% of customers by LTV and reverse-engineer what they have in common, segment, channel, offer, and sales process.
- 02CAC modelling: build bottom-up CAC estimates for each channel using industry benchmarks, your own historical data, and competitor analysis.
- 03Segment prioritisation: rank ICP segments by total addressable revenue, cost to acquire, and strategic value, then sequence activation accordingly.
- 04Channel logic: for each recommended channel, document the specific mechanism, the target ICP, the expected CAC, the conversion metric, and the decision rule for scaling.
- 05Execution brief: hand over the strategy as a 90-day executable brief, not a deck, but a plan with owners, timelines, and success metrics.
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