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Search Ad Account Structure for a Small Budget

Table output

Organise campaigns, ad groups and keywords so a small budget is not wasted.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

Design a search ad account for [BUSINESS_AND_OFFER]. Monthly budget: [MONTHLY_BUDGET]. Location served: [LOCATIONS]. Main products or services: [SERVICES]. Average value of a customer: [CUSTOMER_VALUE]. Conversion I can track: [CONVERSION_ACTION].

Propose a structure with campaigns by intent, tightly themed ad groups, match type choices with a reason, and a starter negative keyword list grouped by theme. For each ad group give three headlines and two descriptions within character limits I will confirm [VERIFY], and a landing page that matches the promise.

Show the budget arithmetic: expected cost per click times clicks needed per conversion, using assumptions labelled as such, and the break-even cost per customer. Add a weekly routine of 20 minutes covering search terms, negatives, bids and budget pacing. Keep the structure small enough to manage; list what to leave out until results justify it.

Work through a worked budget example so the logic is visible. Suppose the average click costs 1.20, one click in twenty becomes an enquiry and one enquiry in four becomes a customer worth 300 in margin. Then 20 clicks cost 24 and give one enquiry, so one customer costs 4 enquiries, which is 96 in clicks. Margin of 300 against 96 leaves 204 before other costs. Replace each assumption with my figures and flag any that look unrealistic. Show what happens if the conversion rate halves, because small accounts often discover that the first guess was too optimistic. Add a plan for the first thirty days: launch with the highest-intent keywords only, review search terms every few days, add negatives, and hold bids steady until there are at least 30 clicks per ad group before judging. Include a record of changes with dates so results can be linked to what I changed. List the reports I should look at and ignore, and warn about auto-applied recommendations that raise spend.

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