Hire an AI Google remarketing campaign reviewer
Give it monthly visitors, add to cart numbers and purchases. You get a size check and the audience lists to build, with exclusions and custom segments.
What you give
- Monthly visitors, add to cart numbers and purchases
- Your daily budget and any videos or images (optional)
- After the pause, the Google Ads report by campaign and ad
What you get
- A size check and the audience lists to build, with exclusions and custom segments
- Five ad concepts, one for each doubt, ready to brief
- Ranked changes from your first results, with a score
An example
Visitors add to cart and leave and you want to bring them back.
You ask: “Give it monthly visitors, add to cart numbers and purchases. Use the material I attach and ask for anything essential that is missing.”
You get back:
- Audience plan. A size check of each list, cart abandoner and customer lists, exclusions so buyers are left out, and custom segments.
- Remarketing campaigns. Campaign setup with budgets, frequency caps and audiences, plus five ad concepts, one for each doubt.
- Google Ads audit report. Findings ranked by money at stake, changes worth making and a score against your target.
An example, not your task.
Hire this specialist
It is free and needs no account. Download the pack, give it to your AI and tell it the job. Your AI asks for anything it is missing, then does the work and checks it.
Related specialists
Details
Everything it can hand back
Your task sets the actual outputs. The specialist picks the methods that cover them.
- A size check and the audience lists to build, with exclusions and custom segments
- Remarketing campaigns with budgets, caps and audiences
- Five ad concepts, one for each doubt, ready to brief
- Ranked changes from your first results, with a score
How it does the job well
- Write for one named audience and one action. Each asset has a single job.
- Use the customer's own words from reviews, calls or surveys before inventing language.
- Every claim needs proof the business can show. Leave unproven claims out or mark them.
- Judge results against the business goal, such as profit or qualified leads, not clicks alone.
Mistakes it avoids
- Generic copy that could fit any brand.
- Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
- Calling a test winner before there is enough data.
What a good result looks like
An example, not your task: Visitors add to cart and leave and you want to bring them back.
- Audience plan. A size check of each list, cart abandoner and customer lists, exclusions so buyers are left out, and custom segments.
- Remarketing campaigns. Campaign setup with budgets, frequency caps and audiences, plus five ad concepts, one for each doubt.
- Google Ads audit report. Findings ranked by money at stake, changes worth making and a score against your target.
- HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.
How the work is checked
- Each step passed its own checks, or the run stopped at the step that failed and says why.
- The steps ran in order, and each one used the result of the one before.
- Nothing was invented to fill a gap. Every gap is a MISSING: line.
- Nothing was sent, published or paid for without a clear yes.
- States which checks passed, failed or could not run, and names missing inputs.
These checks have not been run against a model yet. Your AI uses them to check its own work.
Capabilities
- Plan the audiences. Checks each list is big enough to use, plans cart abandoner and customer lists, sets exclusions so buyers are left out and defines custom segments from search terms.
- Build the remarketing campaigns. Reads the audience plan, checks the list sizes again, sets up video first or Demand Gen, sets budgets and frequency caps, and writes one ad concept for each of five doubts.
- Read the first results. Pauses while you build it and run it for three to four weeks and export the report. Then it checks the export fits, compares results with your target and ranks the changes worth making.
How the role works
- Checks your task, context and available tools.
- Picks the methods needed and prepares a work plan.
- Carries out supported tasks, with each method's limits and review gates.
- Checks the real deliverables and corrects supported faults.
- Hands back files, evidence and unresolved gaps.
Your specialist's working setup
Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.
Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.
Use this specialist through MCP or the API
Call prepare_specialist with role_id build-google-remarketing-lists-and-campaigns-then-read-d7faff83 only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.
For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.
Complete ZIP: Download base specialist. API: GET /api/v1/specialists/build-google-remarketing-lists-and-campaigns-then-read-d7faff83/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.
Inputs and helpful context
The specialist starts from the task brief. Only active methods require their inputs.
For the primary method, when used
- Monthly visitors, add to cart numbers and purchases
- Customer list details and how customers agreed to ads (before any upload)
- Your offer for returning visitors, with shipping and returns terms
- Your daily budget and any videos or images (optional)
- After the pause, the Google Ads report by campaign and ad
Tools and access
- Google Analytics 4: Builds the cart abandoner audience and lets you mark it as a key audience.
- Google Ads: Holds the audience manager, customer lists and exclusions.
- Shopify: Exports your customer list and links store data to Google.
- Google Ads: Audience manager, Demand Gen and video campaigns, and the network breakdown live here.
- Google Analytics 4: Holds the cart abandoner audience and shows behaviour by step.
- Any good chat AI: Claude, ChatGPT and Gemini can write five distinct concepts from one brief.
- Claude: Reads a full CSV export carefully and cites the exact rows behind each finding.
- Google Sheets: Lets you sort the export and check the rows behind any finding yourself before you change anything.
- Google Ads: Pull the export from the report for that area, and make each approved change by hand there.
Functions and deliverables
- Google remarketing campaign reviewer: Plan Google ads for past visitors, set audience limits and exclusions, then review real campaign and ad results.
- A size check and the audience lists to build, with exclusions and custom segments
- Remarketing campaigns with budgets, caps and audiences
- Five ad concepts, one for each doubt, ready to brief
- Ranked changes from your first results, with a score
- Google Ads audience builder: Share site traffic and customer data. Get remarketing lists, exclusions and custom segments to build in Google Ads.
- A list of audiences to build, with source and window for each
- A customer exclusion plan
- Custom segment definitions
- A note on which lists are too small to use yet
- Google remarketing campaign builder: Share audiences and an offer. Get remarketing campaign settings, budgets and ad concepts to build.
- Campaign settings for video or Demand Gen remarketing, with budgets and caps
- A creative brief for returning visitors
- Five ad concepts, one per doubt
- A review plan to cut weak placements and keep the winner
- Google Ads report auditor: Check a Google Ads export for wasted spend. Get proposed changes with the rows behind them, plus a score out of 100 against your target.
- A coverage note saying what it read and what was left out
- Findings, each with the rows behind it, a proposed change and how to check it
- A plain summary of the top three findings
- A MISSING list, with the exact export and columns to pull if yours won't do
- A score out of 100 for how much of that area's spend meets your target, with the sum shown
- Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
- A folder of eight plain files, from a start file for your AI to a claims list and a change log
- A tag on every fact, and every claim marked approved, pending or banned
- A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
- A short slice for your next step, if you name one
Tasks you can use it for
- Visitors add to cart and leave and you want to bring them back.
- You see ads on Google for products you already bought, or suspect your own do the same.
- You have an offer for returning visitors and no plan for who sees it.
Limits to check before starting
- You get few new visitors each month: build traffic first, since lists under about 1,000 people will not run.
- Your lists are tiny and you want a cheap first step: send email to past visitors and customers instead.
- You only want to read a Google Ads export you already have: use the Google Ads report auditor.
Best way to use this role
Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.
- Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
- Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
- Tell it how customers agreed to their data being used for ads before you upload any list.
- When it pauses, build the lists and campaigns, run them three to four weeks and export the report by campaign and ad.
- Keep the ad that wins and drop the weak ones as it ranks them.
Read it as data
Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/build-google-remarketing-lists-and-campaigns-then-read-d7faff83 for its role instructions and pinned sources.
This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.