Go-To-Market Strategy

A marketing plan describes what you will do — channels, budgets, campaigns, calendar. A go-to-market strategy decides the things the plan depends on: which segment you are selling to, what position you are claiming, what proof supports it, and which competitor’s revenue you are taking. The plan answers how. The strategy answers who, what and why. Writing the plan first is the most common and most expensive sequencing mistake we see.

Usually yes, and it is easier when you do. Existing customers are evidence. The work becomes analysing which of them were cheapest to acquire, which stayed longest, and what they had in common — then deliberately concentrating spend on that pattern instead of the broad definition you started with. Companies with traction often discover their best segment is a subset of who they thought they served.

Three to five weeks for the core work, depending on how much customer access and existing data we have. Competitor and market research runs in parallel with customer interviews. You get the positioning and segment definitions before the end, so channel work can begin while the messaging sheet is being finalised.

Access to whatever already exists — analytics, ad accounts, CRM exports, past campaign results, sales call recordings if you have them — plus introductions to a handful of current customers and, ideally, two or three people who evaluated you and bought something else. Lost deals are more informative than won ones. If none of that exists, we run the research from primary sources instead; it takes longer but it still works.

Both, and the strategy is written on the assumption that we will have to run it. That constraint keeps it honest — no positioning that cannot be expressed in a search ad, no segment we cannot actually target. Most clients move straight from this into performance marketing and SEO with the same team, which is why the messaging sheet is built to be handed to channel work rather than filed.

The method is the same; the evidence sources differ. B2B leans on sales conversations, lost-deal analysis and buying-committee mapping, because the purchase involves several people with different objections. B2C leans on behavioural data, review mining and price-sensitivity testing, because the decision is faster and more emotional. Both end at the same place: one segment, one position, one message hierarchy.