Account audits

Audit Meta lead ads for fake and junk leads by ad set and placement

Downloads instant form leads, scores junk at lead level, computes junk rate and cost per clean lead by ad set and ad, sets it against placement delivery, and proposes placement changes only as approved previews.

When to use it

When your Meta lead ads bring plenty of leads but many are fake, unreachable or never answer the phone.

What you get

A junk-rate table by ad set and ad with cost per clean lead, a placement-share analysis labeled as inference, form improvement advice, and placement changes previewed for your approval.

Does it change anything in my account?

Only with your approval. The assistant first shows a preview of every change and waits for your go-ahead.

Works with

Meta Ads

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[campaign name]

My Meta lead ads in [campaign name] bring a lot of leads, but many never answer the phone or look fake. Audit the last 30 days. 1. Find the campaign, its ad sets and the instant forms on my Facebook Page, then download all leads from the last 30 days with the ad set and ad each came from. 2. Mark a lead as junk if it has any of these: a phone number in an invalid format or made of repeated digits, a duplicate phone or email, a gibberish or single-letter name, a disposable-looking email, or 3 or more leads with identical answers within 10 minutes. 3. Junk by source: table of ad set, ad, spend, leads, junk leads, junk rate, cost per clean lead. 4. Placement delivery: pull spend, impressions, clicks and leads by ad set broken down by publisher platform and position, including Audience Network. Leads are not tagged with a placement, so junk rate by placement cannot be measured directly. Instead, show for each ad set what share of its leads each placement delivered, and point out where a high junk rate coincides with one placement delivering most of the leads. Label this as an inference. Decision rule: if an ad set has a junk rate above 40% with at least 10 leads, and a single placement (for example Audience Network) delivered more than half of its leads, propose removing that placement from the ad set. Show each change as a preview with the remaining placements and the expected effect on cost per clean lead, and wait for my approval. Also read the questions on the form I use and tell me whether they make spam easy, with one concrete suggestion (for example a qualifying question or a higher-intent form with a review step, which would be a new form I can approve separately).

My Meta lead ads in [campaign name] bring a lot of leads, but many never answer the phone or look fake. Audit the last 30 days.

1. Find the campaign, its ad sets and the instant forms on my Facebook Page, then download all leads from the last 30 days with the ad set and ad each came from.
2. Mark a lead as junk if it has any of these: a phone number in an invalid format or made of repeated digits, a duplicate phone or email, a gibberish or single-letter name, a disposable-looking email, or 3 or more leads with identical answers within 10 minutes.
3. Junk by source: table of ad set, ad, spend, leads, junk leads, junk rate, cost per clean lead.
4. Placement delivery: pull spend, impressions, clicks and leads by ad set broken down by publisher platform and position, including Audience Network. Leads are not tagged with a placement, so junk rate by placement cannot be measured directly. Instead, show for each ad set what share of its leads each placement delivered, and point out where a high junk rate coincides with one placement delivering most of the leads. Label this as an inference.

Decision rule: if an ad set has a junk rate above 40% with at least 10 leads, and a single placement (for example Audience Network) delivered more than half of its leads, propose removing that placement from the ad set. Show each change as a preview with the remaining placements and the expected effect on cost per clean lead, and wait for my approval.

Also read the questions on the form I use and tell me whether they make spam easy, with one concrete suggestion (for example a qualifying question or a higher-intent form with a review step, which would be a new form I can approve separately).

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Account auditsChanges after your approval

Find wasted search terms and build a safe negative keyword list

A themed table of money-wasting search terms with ready-to-apply negatives and projected savings, applied only after you approve.

When to use itWhen you feel your Google Ads budget is going to searches that never convert, such as jobs, free, DIY or the wrong location, and you want them blocked safely.

Find the search terms wasting money in my Google Ads account [account name] over the last 60 days.

Use the search terms report and the smart negative keyword suggestions. First read all my existing negatives (campaign level, ad group level and shared lists) so you do not suggest duplicates.

Flag a term as waste if:
- it spent more than [amount] with zero conversions, or
- it clearly has the wrong intent (jobs, free, DIY, second hand, places I do not serve, competitor names), regardless of spend.

Deliver a table with these columns: search term, campaign, cost, clicks, conversions, suggested negative, match type (exact or phrase), level (campaign, ad group or shared list), and a one-line reason. Group rows into themes and show the total spend these terms took in 60 days.

Rules: never block a term that converted at least once. Warn me if a negative would also block one of my converting keywords.

Then show a preview of exactly what you would add and wait for my approval before applying anything.

Account auditsChanges after your approval

Check conversion tracking before trusting any CPA or bidding decision

A pass/fail check of your conversion setup across Google Ads, GA4 and Tag Manager, with the fixes that stop Smart Bidding from optimising toward the wrong action.

When to use itWhen your CPA or conversion numbers look off, or before you change bids or budgets, and you are not sure your conversion tracking is counting the right things.

Before I make any optimisation decisions, check whether conversion tracking in my Google Ads account [account name] can be trusted. Use the last 30 days.

Check and report pass/fail for each:
- primary conversion actions that recorded zero conversions, or are paused or removed
- the same lead counted twice (for example a Google Ads tag and an imported GA4 key event both set as primary for the same form)
- weak actions set as primary, such as page views, scrolls or button clicks
- lead actions counting "every" instead of "one"
- lookback windows and default values that make no sense for my business
- Google Ads conversions vs GA4 key events for the same action: flag any gap above 20%
- in Tag Manager, whether a conversion tag exists for each primary action and fires on the right trigger

Deliverable: a checklist table (check, status, evidence, fix), then a short verdict: can I trust my CPA today, yes or no.

If a primary/secondary setting should change, show me a preview of the exact change and wait for my approval. Do not change anything silently.

Account auditsChanges after your approval

Spot suspicious clicks and block fraudulent IPs after review

A scored list of suspicious IP addresses tied to campaign anomalies, with a blocking plan you approve before anything is excluded.

When to use itWhen clicks jump but conversions do not, or you suspect bots, competitors or fake clicks are draining your Google Ads budget.

Account auditsChanges after your approval

Clean up weak ads, disapprovals and missing extensions

A per-ad-group checklist of ad strength, underperforming headlines, policy issues and extension gaps, plus draft replacement copy.

When to use itWhen your Google Ads ads have low ad strength, disapprovals, poor CTR or missing sitelinks and callouts, and you want clear fixes with ready replacement copy.

Audit the ads and extensions in my Google Ads account [account name]. Use the last 60 days.

For each active Search ad group, check:
- ad strength of every responsive search ad, and Google's action items for improving it
- headlines and descriptions with at least 1,000 impressions whose CTR is below half the ad group average
- headlines pinned without a clear reason (pinning limits combinations)
- disapproved or limited ads and the exact policy reason
- extensions: fewer than 4 sitelinks, no callouts, no structured snippets, or no call extension; also sitelinks that got impressions but zero clicks

Deliverables:
1. A checklist table per ad group: issue, evidence, fix.
2. For each weak headline or description, 2 replacement drafts that include the ad group's main keyword and a concrete benefit or offer from my business: [main offer or USP]. Respect the 30 and 90 character limits.
3. For each disapproval, what to change to get it approved.

Edit existing ads in place rather than creating new ones, so performance history is kept. Show me a preview of every edit and wait for my approval.