Map your evidence
List moments where you clarified an objective, used data carefully or made a decision under uncertainty.
Independent role information
A clear, practical guide to the skills, evidence and conversations commonly associated with a Google PPC specialist role. Kavorelinu is informational only—not an employer, job board or active recruitment notice.
Module 1 · What the work can involve
Titles vary. This guide uses “Google PPC specialist” as a shorthand for a practitioner who helps plan, build, measure and improve paid search activity, usually alongside stakeholders with different priorities.
Connect search language, audience context and landing-page usefulness before deciding what should be tested.
Set a meaningful hypothesis, guardrails and a way to distinguish signal from normal variation.
Translate campaign movement into a decision that a non-specialist can understand and challenge.

Module 2 · Candidate-fit prompt
Choose the working style that feels most natural. This is a reflection tool, not a score, assessment or prediction.
Module 3 · Preparation sequence
Use the sequence to organize your own experience. It does not prescribe how any organisation evaluates candidates.
List moments where you clarified an objective, used data carefully or made a decision under uncertainty.
State the audience, constraint, action and result in language someone outside your discipline can follow.
Explain what you did not do, what you watched for, and why the next decision was proportionate.
Practice a 90-second answer and a deeper version. Edit for accuracy, not performance theatre.
Module 4 · Competency signals
Focus on behaviours you can substantiate. Claiming tool familiarity matters less than showing sound reasoning around it.
You can name the metric, its limitation and the decision it informed—without treating a dashboard as the whole story.
You can distinguish attention from intent, and can say when a keyword or segment needs more context before action.
You can frame a modest hypothesis, avoid changing everything at once and document what a result can actually support.
You can turn detail into a clear recommendation while preserving the uncertainty a decision-maker needs to know.


Module 5 · Story rehearsal
A good example does not need heroic outcomes. It needs enough context to show what you noticed, what you did and how you handled the limits of the situation.
Describe the commercial or user problem, the available information and the constraint. Avoid confidential details and uncheckable claims.
State which inputs you trusted, what you challenged and the smaller decision you made rather than overstating certainty.
Clarify your own role, the collaborators involved, the method used and how you kept the work reviewable.
Share the outcome in proportion and what you would carry forward. A thoughtful limitation can make an answer more credible.
“I would want to verify the tracking before calling the movement a campaign improvement.”
Example of a careful analytical instinct—not a script to repeat.Module 6 · Campaign review lens
Use these prompts when discussing an example. They are a thinking aid, not a reporting template or a representation of platform policy.
Module 7 · Work-sample hygiene
If you assemble a personal work sample, use material you are allowed to share. Anonymise sensitive information, write down assumptions and make the distinction between your contribution and team work explicit.
Context
Method
Decision
LearningUse generic or permitted information only. A work sample should prove judgement, not disclose someone else’s data.
Module 8 · Local checklist
Tick items as you prepare. Your selections remain only in this browser during this visit; they are not submitted, saved remotely or used to evaluate you.


Module 9 · Questions worth carrying
The best questions are practical and specific. They do not assume an employer, team, pipeline or vacancy; they help you understand any real context you may encounter elsewhere.
This reveals whether the team distinguishes a target from a useful decision signal.
This surfaces collaboration, hand-offs and the practical scope of the role.
This indicates whether learning can be repeated rather than living only in one person’s memory.
Module 10 · Frequently asked questions
Module 11 · Local contact draft
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