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How the audit works

Click-to-Inquiry Audit methodology

The checks, finding types, priority rules, privacy behavior, and limits behind the Click-to-Inquiry Audit.

Click-to-Inquiry Audit v1.0 is a short, evidence-informed way to investigate where a paid click may fail to become a customer inquiry. It organizes checks you can perform yourself. It does not measure campaign performance or predict revenue.

The four areas

  1. Traffic Fit: do the available search, location, or inquiry records show a meaningful mismatch with the service and area you offer?
  2. Ad-to-Destination Continuity: does the page carry through the service and action promised by the ad?
  3. Contact-Path Friction: can a visitor begin and complete the intended contact action on a phone?
  4. Inquiry Handling: does a call or submitted request reach someone, and is the next step clear?

These checks reflect observable parts of the path. They are not a complete list of causes of weak campaign results.

Questions follow the campaign path

The first answers select the paid source and the intended inquiry method. Google Search leads to checks of geographic activity and the Search terms report. Meta / paid social leads to a check of configured locations and patterns in inquiries that can actually be linked to the campaign. Other, mixed, or uncertain sources lead to broader checks of available location, referral, and inquiry evidence. The audit does not claim to reveal the intent of every social click or every unreported search.

The contact questions then follow phone, form, both, or another method such as messaging. When both phone and form are selected, both paths are checked. If the intended contact method is unknown, the audit records that information gap and stops before contact-path and handling questions that cannot yet be applied.

How answers become findings

  • Positive Signal: a specific check appears to work or shows no obvious mismatch in the evidence reviewed. It is not proof that the campaign performs well.
  • Confirmed Concern: an answer describes a concrete problem observed by the person using the audit. “Confirmed” refers to that reported observation, not independent verification by this site.
  • Information Gap: the needed check has not been done or there is too little usable evidence. “I haven’t checked” is not treated as a failure.
  • Not Applicable: a check does not meaningfully apply, such as geographic service limits for a business without them. It does not count as a success or concern.

For each area, the result distinguishes no assessment, a concern, multiple concerns, a concern with more to check, an information gap, or no obvious concern. Multiple issues remain separate findings rather than being blended into one diagnosis.

How priorities are suggested

A Direct Break is a reported failure that can block or lose an inquiry: for example, a broken phone action, a form that cannot be submitted or delivered, a phone path that does not reach the business, or a real request that appears unhandled. One or several direct breaks are placed first so the path can be repaired and retested.

Without a direct break, a meaningful traffic mismatch is placed first when other concerns also exist; page refinements cannot make fundamentally unsuitable traffic relevant. With a concern in one area, the audit highlights that area. With concerns in two or more areas, it presents them together without claiming a single cause. If no confirmed concern determines the result and several areas still lack evidence, the audit calls for more checking before a large change. Suggested actions come from the reported concerns first and then information gaps, with duplicate actions removed. These are practical investigation priorities, not mathematical rankings.

Why there is no score

A score would imply a degree of measurement and validation this framework does not have. Different problems are not interchangeable: a broken phone number cannot sensibly be averaged against a positive signal elsewhere. An unknown check should not become failure points. The purpose is to surface observable concerns and gaps, not create false precision. Scores can be useful in other settings when the underlying measure is justified; this audit has no such validated measure.

Limits and privacy

The framework is evidence-informed because it draws on observable checks and platform documentation. It has not been validated as a predictive model. Its output depends on the accuracy of your answers and the records available. A small sample, incomplete attribution, and platform reporting limits can hide a problem or make an isolated event look like a pattern. A positive result does not establish good targeting, conversion, or profitability.

The audit does not directly evaluate market demand, offer strength, pricing, competition, reputation, creative quality, sales skill, or overall campaign profitability. It does not inspect your advertising account or verify your answers. It does not ask you to upload campaign data. Answers and results are processed in your browser, with progress saved in that tab’s session storage; restarting the audit clears that saved progress. The site does not send those answers to a server. Opening the site still makes ordinary page requests to its host. See the Privacy Policy.