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THE STARTING POINT
A useful report connects spending and completed work to qualified inquiries, customers, and the next decision. It distinguishes observed results from attribution estimates and explains what changed. More charts do not automatically make a report more informative.
Begin with the business question
Decide what the report must help you choose: continue a campaign, change an offer, fix a page, or allocate production time. A dashboard without a decision can become a collection of interesting numbers.
For a San Jose business serving several areas, separate geographic performance only when the data is meaningful. Tiny groups can produce misleading differences. Explain the sample size behind a percentage.
Keep the funnel definitions stable
Define inquiry, qualified inquiry, appointment, and customer. Use those definitions consistently across the website, ad platforms, and sales records. A platform lead and a sales-qualified opportunity are not interchangeable.
Google Analytics provides recommended events such as generate_lead and purchase, but those events still need correct implementation. An event label is not proof that measurement works. Test it against actual behavior.
Separate attribution from accounting
Platforms may attribute the same conversion to different interactions. Do not simply add every platform's reported revenue and call it total sales. Reconcile with business records and explain the attribution window or model where relevant.
Report missing data honestly. Offline conversations and delayed purchases may be difficult to connect. A clear limitation is more useful than a precise-looking total with an unclear definition.
Use charts that answer a question
Show trends with consistent time periods and label units. Distinguish actuals, targets, and forecasts. Avoid decorative percentages without denominators or a change in chart scale that exaggerates movement.
The example below is explicitly hypothetical. It illustrates how two campaigns with the same spend can produce different qualified-lead costs. It is not Adnetix client performance or a San Jose benchmark.
End with decisions and owners
List what changed, what you learned, and what happens next. Assign an owner and a review date. If the evidence is insufficient, say what additional information is needed.
Keep a record of past decisions so the team can learn rather than repeating the same experiments. A good report makes the next conversation clearer, even when the results are disappointing.
Write the decision at the top
An illustrative report opening might say: qualified inquiries increased, but appointments did not; next we will investigate contact speed and appointment availability before increasing spend. The supporting numbers should follow that statement.
If the data does not support a conclusion, write that instead. Name the missing information and the next collection step. This makes a report useful to an owner who has ten minutes to review it, while preserving the detailed evidence for deeper analysis.
DECISION FRAMEWORK
Make the comparison clear.
| Consideration | Focus | Action |
|---|---|---|
| Spend | Media and fees separately | Know the investment |
| Qualified inquiries | Shared definition | Assess relevance |
| Customers | Sales records where available | Allow for delay |
| Next action | Owner and review point | Turn reporting into work |
ILLUSTRATIVE COMPARISON / NOT CLIENT RESULTS
Cheap leads can cost more.
Both sample campaigns spend $1,000. Compare cost per qualified inquiry.
| Campaign | All inquiries | Qualified | Cost / qualified |
|---|---|---|---|
| A | 100 | 10 | $100 |
| B | 40 | 20 | $50 |
PUT IT TO WORK
Your working checklist.
Check each item as you prepare. Download the worksheet to add notes, owners, and deadlines. Entries on this page are temporary.
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COMMON QUESTIONS
A few details worth clarifying.
Is return on ad spend enough?
No. It does not include every cost and may rely on platform attribution. Consider margins, total costs, and business records.
Should reports include bad results?
Yes. Explain them clearly, identify uncertainty, and specify the next action rather than hiding them behind unrelated metrics.
Further reading
Google Analytics: Recommended events ↗External references support platform or policy details. The planning frameworks and hypothetical examples are Adnetix editorial guidance, not market benchmarks.
FROM PLANNING TO EXECUTION
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