Start with a customer situation, not a demographic
In the original version of this article, I argued that effective campaigns begin by choosing whom to speak to. I still agree, but broad demographics are rarely enough. Age and gender do not explain why somebody buys now, which alternative they are considering or what prevents the decision.
Define the situation instead: the customer problem, the moment that makes it urgent, the desired outcome and the friction that creates hesitation. That description gives product, creative and media teams something concrete to work with.
Turn product benefits into testable messages
List the benefits your product can credibly deliver, then connect each one to a customer situation. A campaign hypothesis should state who the message is for, what benefit it leads with, why it should be believed and what action it asks the customer to take.
Test meaningful differences, not cosmetic variations. A new background colour tells you little. A different problem, proof point, offer or format can reveal why customers respond. The landing page must continue the same argument; otherwise the test measures a broken journey rather than the message.
- Audience situation and buying trigger
- Benefit and supporting proof
- Creative format and opening hook
- Offer, landing page and call to action
Measure the economics the platform cannot see
My 2022 article used ROAS as the main comparable metric. ROAS remains useful, but it is not a profitability measure. It ignores gross margin differences, discounts, fulfilment, payment costs, returns and, in many cases, imperfect attribution.
Before scaling, define the contribution you need from an acquired order. At minimum, connect net revenue, cost of goods, fulfilment, variable shipping, payment fees, expected returns and media spend. Then decide how much of that contribution you are willing to reinvest to acquire a new customer, and over what payback period.
Scale in steps and watch marginal performance
A profitable test does not prove that a campaign can absorb ten times the spend. Reach expands, audiences become less responsive and creative fatigues. Increase budgets in controlled steps, then compare the incremental spend with incremental contribution rather than celebrating the blended average.
The full method is straightforward: define the customer situation, build a benefit-led hypothesis, design a coherent journey, validate complete unit economics and scale only while marginal contribution remains inside the agreed threshold. Discipline is what makes the campaign scalable.
Operator takeawayDo not scale because a platform reports an attractive ROAS. Scale when the next unit of spend is still expected to acquire customers at a contribution and payback the business can afford.
Updated from an article I originally published on Medium on 20 November 2022. The measurement framework now reflects later P&L and e-commerce operating experience. Read the original on Medium