Narrative Layer Integration (Delivery)

Narrative Layer Integration (Delivery)

1. 01

   Map the client's key business questions to the metrics in the automated report

   Identify the three to five decisions the client makes monthly, then confirm each has a corresponding KPI in the dashboard. This prevents the report from being a data dump without context.

2. 02

   Draft narrative commentary for each metric movement beyond a set threshold

   Set a threshold, for example a 10% change week over week, and write a plain-language explanation for every metric that crosses it. The commentary should state what happened and why it matters to the client's goals.

3. 03

   Add anomaly detection flags to surface unexpected data patterns

   Configure the reporting tool to highlight outliers, such as a sudden spike in cost per acquisition or a drop in conversion rate. This shifts the report from a passive record to an active alert system.

4. 04

   Incorporate forward-looking recommendations tied to the data

   For each major trend, propose a next step, such as reallocating budget to a top-performing channel or testing a new ad creative. This turns the report into a strategic document rather than a historical log.

5. 05

   Review the report for accuracy and clarity before client delivery

   Cross-check the numbers against the source platforms, verify that the narrative matches the data, and ensure the language is free of jargon. A single error can undermine client trust in the entire report.

6. 06

   Deliver the report with a short executive summary in the client's preferred format

   Whether the client prefers a PDF, a live link, or a slide deck, lead with a three-bullet summary of the most important takeaways. This respects the client's time and reinforces the agency's role as an analyst, not just a data aggregator.