What should a business do about a fake Google review?

Document why it appears inauthentic, report it through Google's available process and respond carefully if needed. Do not reveal private customer information.

The short answer in context

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. Marketing data is only valuable when it is close enough to real customer outcomes to guide decisions. Platform dashboards are useful, but they need to be reconciled with what actually happened in the business.

Reconcile platform data with real jobs

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. At least once a month, compare analytics and advertising conversions with the calls, forms, quotes and customers the business actually received. If an ad platform claims 80 conversions but the sales log contains 20 genuine enquiries, investigate before increasing spend. Duplicate tags, spam forms, secondary actions and imported events can all inflate reports.

Primary conversions should be commercially meaningful

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. Scrolls, page views and button clicks are useful diagnostic events, but they should not be treated as equal to a qualified call, completed form, booking or purchase. Keep the main reporting focused on actions that represent genuine buying intent, then use smaller events to diagnose why a page is or is not converting.

Define the outcome before the tactic

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. Marketing terminology becomes confusing when the objective is not clear. Decide whether the business wants more visibility, more qualified enquiries, a lower acquisition cost, stronger local coverage or better conversion. Once the outcome is defined, the useful metrics and actions become much easier to separate from vanity activity.

A practical process

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. A good way to handle this is to work through the issue in a fixed order rather than changing several things at once. That makes it easier to identify what actually caused the improvement or decline.

• Define what counts as a primary conversion before reporting starts.
• Test call, form and message tracking end to end.
• Keep spam and test leads out of commercial reporting.
• Pass source and landing-page information into the lead record where possible.
• Compare advertising dashboards with actual quotes and customers.
• Review cost per qualified lead and acquisition cost by channel.

Common mistakes

• Counting micro-events as if they were customers.
• Trusting one platform as the only source of truth.
• Failing to test tags after website changes.
• Mixing spam, accidental calls and qualified leads.

Important exceptions and edge cases

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. The main exception is when the apparent marketing problem is actually operational. Slow follow-up, poor phone handling, weak quoting, lack of capacity or an uncompetitive offer can make good traffic look ineffective. Always check the sales process before assuming the acquisition channel is broken.

How to measure whether it is working

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. Audit tag firing, reconcile platform conversions with sales records, and monitor cost per qualified lead and customer by channel. Investigate large discrepancies rather than averaging them away.

Local-business perspective

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. For local businesses in Northern Ireland, the same tactic can perform very differently by area. Belfast often has denser competition than smaller towns, while regional work may have higher travel cost and lower search volume.

Worked example

An illustrative audit might show 91 platform-reported conversions, but only 50 genuine enquiries in the call/form log and 15 eventual customers. That gap matters. Some conversions may be duplicate events, repeat contacts, spam or low-value actions. The correct reaction is not to distrust analytics completely; it is to tighten the conversion definitions and connect the data to the sales record. Once the reporting reflects genuine outcomes, channel comparisons and budget decisions become far more reliable.

What I would do next

• List every event currently counted as a conversion.
• Separate primary commercial conversions from diagnostic micro-events.
• Test each form, call and message event yourself.
• Compare the last month of platform conversions with real lead and customer records.
• Fix the largest discrepancy before using the data to increase budget.

Bottom line

The question of what should a business do about a fake Google review is best treated as a commercial and technical problem together, because either side can make the other look better or worse than it really is. The strongest answer is the one that can be tested against real business data. Avoid shortcuts, preserve what already works, and change one major variable at a time where possible. If the activity produces more qualified enquiries at an acceptable acquisition cost, keep improving it. If it produces impressive-looking metrics without useful customers, the strategy needs to change.