A first Google Search campaign should test whether relevant demand can become valuable customers at plausible economics. It should have a clear audience, a coherent offer, and a measurement process that follows people beyond the click.
I would begin with a narrow commercial question. Launching every campaign type and keyword theme at once can produce activity without teaching the team which assumption worked.
What should exist before launch?
Have a working destination page, a clear next action, a way to record enquiries or purchases, and someone responsible for follow-through. Define what counts as a qualified outcome. Check the customer experience on the devices people will actually use.
Also document the offer’s claims and limitations. The ad should accurately describe what the visitor can find or do on the page. A mismatch can generate clicks that were never realistic opportunities.
How should keywords be chosen?
Start with language that reflects the problem, solution, or product category the customer uses. Inspect the actual search results to understand whether the query expresses research, comparison, or purchase intent. Group themes by the buying question and destination they deserve.
A keyword list is a set of targeting hypotheses. It is not a complete description of the searches the platform may match. Google explains its current matching behavior in the keyword matching documentation. Use the live settings and reports to understand the traffic you receive.
How much structure is enough?
Separate campaigns or groups where the distinction changes budget control, messaging, destination, or evaluation. Brand demand and new category demand often deserve separate analysis because the buyer arrives with different context.
Avoid creating so many small groups that the team cannot maintain the copy or interpret performance. Structure should make decisions easier. It is not a competition to produce the most rows in an account.
What should the ad say?
State the relevant offer, a credible differentiator, and the next step. Use specific product facts rather than unsupported superlatives. Make important qualifications visible where they affect the buying decision.
Prepare combinations that remain accurate together. Repetition can waste the limited space available to explain the offer. A copy review should check meaning and landing-page consistency as well as character limits.
What should the landing page do?
Continue the same promise and help the visitor take the appropriate next action. Explain the outcome, show relevant evidence, answer the main objection, and make the process understandable. Remove friction that serves no useful qualification purpose.
Do not assume the shortest form is automatically best. Some fields help establish fit or prepare follow-up. Evaluate the relationship between submission volume and customer quality.
How should conversions be defined?
Distinguish the actions you want to observe from those intended to guide campaign optimization. Google’s primary and secondary conversion guidance explains the relevant configuration and exceptions. Review the actual campaign goal setup rather than relying on an action’s label alone.
For the business view, keep enquiries, qualified leads, opportunities, and customers separate. A single blended conversion count can hide the difference between easy actions and valuable outcomes.
What is a sensible first budget?
Use a risk cap that can support a meaningful question. Include setup and follow-up costs, and allow enough time for outcomes to mature. If the expected number of customers is very small, treat the result as directional evidence.
Do not set a universal daily amount based on someone else’s account. The first-budget guide explains how to work backward from the evidence you need and the company’s cash constraints.
What should be reviewed after launch?
Check delivery, destination behavior, tracking, and the actual searches that produced traffic. Then examine qualification and later customer progress. Keep a change log so performance shifts can be investigated against changes in the account, offer, or website.
Google’s search terms report helps inspect reported queries. It should be one part of the review, alongside customer outcomes and the limits of the available reporting.
When should a term be excluded?
Exclude clear mismatches deliberately. For ambiguous searches, investigate intent and outcomes before assuming the wording is irrelevant. A query that sounds unusual to the marketer may still describe a real buyer’s problem.
Review the scope of any exclusion. A term that is wrong for one offer may be relevant elsewhere. The negative-keyword process focuses on that decision and on preventing broad exclusions from removing useful demand.
How should early performance be judged?
Separate immediate implementation problems from uncertain commercial results. Broken tracking or an unusable form deserves prompt repair. A small number of unresolved leads does not justify a confident conclusion about customer economics.
Compare cohorts with appropriate time to mature. Recent spend can look weaker simply because its outcomes have not happened or arrived in the report yet. Keep the review tied to the buying cycle and the experiment’s stated decision rule.
When is it time to expand?
Expand when the evidence supports customer quality and economics, and the team can handle additional demand. Choose the next expansion deliberately: more budget, a new query theme, a new audience, or a new offer. Changing all four makes the result harder to interpret.
Record the condition that would cause you to hold or reverse the expansion. Scaling should produce a clearer understanding of marginal performance, not an obligation to keep spending more.
What should the first campaign teach?
It should clarify which buying situations respond, where visitors fail to progress, and whether the acquisition hypothesis deserves another investment. Keep the useful query language and customer questions. Feed them back into positioning, sales, and content.
The campaign is part of the wider startup marketing system. Its value is the customers and learning it produces, with costs and uncertainty visible.
Co-founder and CEO of Stackmatix, startup advisor, and former Head of Sales at MightyHive. Connect with Matt on LinkedIn ↗ · More about Matt →