Reach Optimization

TURF Analysis

Don't spread your budget across everything hoping something sticks. We find the smallest set of content attributes that reaches the most people — so you can do more with less and back up the decision with data.

Dataset

Instagram Analytics

Derived content-attribute preference matrix

1. Analysis Name

TURF Analysis

We identify the tightest combination of content choices that reaches the broadest audience — so you invest in what covers the most ground, not just what looks good on its own.

2. Problem Context

What you'll be able to decide

Which combination of campaign themes, product claims, or content attributes should you lead with? This analysis tells you exactly that — ranked by how much unduplicated reach each bundle adds, so you can cut what's redundant and double down on what's not.

3. Observed Data

Observed reach by feature and descriptive summary

The bar chart shows how often each selected feature appears within the viral-post target population. The table ranks those observed reach rates.

Feature Reach Summary

4. Workflow

How the bundle recommendation is built

These steps show how the algorithm adds attributes, measures incremental reach, and checks overlap across the recommended bundle.

01

Filter the target

Restrict the base to posts labeled viral so the answer reflects the target outcome.

02

Add net-new reach

Select the next feature that contributes the largest incremental unduplicated gain.

03

Check redundancy

Review overlap and segment heatmap patterns before finalizing the bundle.

Unduplicated Reach Breakdown

Optimal Bundle

Total Reach

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Efficiency Score

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5. Conclusion

Recommended attribute bundle

Why this is the best answer