Enter Campaign Delivery Data
Use a matching reporting period for both channels. Reach fields require unique people, not impressions.
Example Data Table
| Input | Example value | Purpose |
|---|---|---|
| Social unique reach | 120,000 | Counts distinct social viewers. |
| Social average frequency | 2.80 | Estimates social impressions. |
| Display unique reach | 90,000 | Counts distinct display viewers. |
| Display average frequency | 3.40 | Estimates display impressions. |
| Audience overlap | 35,000 | Removes duplicated people from combined reach. |
| Deduplicated combined reach | 175,000 | Shows the unified unique audience. |
| Combined average frequency | 3.67 | Shows average total exposures per unique person. |
Formula Used
- Social impressions: Social Reach × Social Frequency
- Display impressions: Display Reach × Display Frequency
- Deduplicated combined reach: Social Reach + Display Reach − Audience Overlap
- Total combined impressions: Social Impressions + Display Impressions
- Combined average frequency: Total Combined Impressions ÷ Deduplicated Combined Reach
- Incremental social reach: Social Reach − Audience Overlap
- Incremental display reach: Display Reach − Audience Overlap
- Target audience reached: Deduplicated Combined Reach ÷ Target Audience × 100
How to Use This Calculator
- Choose one reporting period for both channels.
- Enter each channel's unique reach and average frequency.
- Enter the people reached through both channels.
- Add target audience size or campaign days when available.
- Select the calculation button to view unified delivery metrics.
- Export CSV or PDF results for reporting and review.
Campaign Insights
Understanding Cross-Channel Reach and Frequency
Reach estimates how many distinct people saw campaign messages. Frequency estimates how often each reached person saw them. Social and display campaigns often touch some of the same people. Adding channel reach without removing overlap creates an inflated audience estimate. A unified calculation removes that duplication. It also combines impressions from both channels. The result shows exposures per unique person. This clarifies campaign pressure.
Why Audience Overlap Matters
Audience overlap is the group reached through both social and display activity. It is not wasted by default. Repeated exposure can improve recall and response. However, overlap changes the true number of unique people reached. A campaign with high overlap may have fewer new people than expected. A campaign with low overlap may extend reach efficiently. The overlap value should reflect measured platform data whenever possible. Avoid estimating it from impressions alone. Unique audience data produces more useful planning decisions.
Reading the Combined Results
The calculator adds social and display impressions first. It then divides total impressions by deduplicated reach. This produces combined average frequency. A value near one means most people saw few exposures. A larger value indicates more repeated contact. Neither result is automatically good or bad. The best level depends on campaign goals, creative strength, time period, and audience size. Compare the outcome with response data. Monitor fatigue signals when frequency rises. Review reach growth when adding more budget.
Using Incremental Reach
Incremental reach shows the additional people gained from one channel after accounting for overlap. Display incremental reach equals display reach minus the shared audience. Social incremental reach uses the same approach. These measures help identify which activity is expanding the total audience. They also show whether channels are reinforcing each other. A channel can have strong impressions but limited incremental reach. That may still support retargeting or message reinforcement. Use this measure with conversion performance and cost information.
Improving Media Planning
Start with comparable reporting periods for both channels. Use consistent audience definitions and geographic rules. Enter unique reach rather than impressions in the reach fields. Enter each channel's average frequency from the platform report. Use a reasonable overlap figure. Then review combined reach, total impressions, average frequency, and incremental reach together. Test several overlap scenarios when exact data is unavailable. Conservative and optimistic scenarios can show planning risk. Update the calculation after each reporting cycle. This creates a repeatable framework for cross-channel evaluation.
Practical Limits
This tool summarizes delivery metrics. It does not prove attention, recall, conversion, or sales impact. Platform measurement methods may differ. Identity matching can also be incomplete. Treat the result as a planning estimate, not a perfect census. Use lift studies, analytics, and attribution work for deeper evaluation. Keep definitions stable between reports. Small changes in overlap can materially affect deduplicated reach. Check source data before sharing results. Use consistent inputs for clearer cross-channel media planning decisions.
Frequently Asked Questions
What is reach?
Reach is the number of distinct people exposed to a campaign during the selected reporting period. It should not be confused with impressions.
What is frequency?
Frequency is the average number of exposures per reached person. It equals total impressions divided by unique reach.
Why does this tool remove audience overlap?
People reached by both channels should count once in a unified audience. Removing overlap prevents double counting and gives a more realistic total reach figure.
Can audience overlap be zero?
Yes. Enter zero when reliable measurement indicates no shared audience. This causes the calculator to add both channel reach values without a deduction.
Can overlap exceed either channel reach?
No. Shared people cannot be greater than the social or display audience. The calculator validates this rule before producing results.
Why can combined frequency be higher than channel frequency?
Combined frequency includes all social and display impressions. A person exposed through both channels contributes impressions from each channel to the unified result.
What is incremental reach?
Incremental reach is the part of one channel's audience not reached by the other channel. It indicates how much a channel expands overall coverage.
Should I use impressions as the reach input?
No. Use unique reach in reach fields. The calculator creates impressions by multiplying unique reach by average frequency.
What happens when target audience size is added?
The calculator reports the percentage of the target audience reached. This helps compare total coverage against the planned audience universe.
How should I estimate overlap when no direct figure exists?
Use platform audience studies, matched identity data, or scenario ranges. Label estimated inputs clearly and refresh them when measured data becomes available.
How can I keep the calculation useful over time?
Use the same reporting window, audience rules, and currency definitions. Update reach, frequency, and overlap after each campaign cycle. Use consistent inputs for clearer cross-channel media planning decisions.