Examples & methodology
How to read the examples on our homepage.
Illustrative CTA improvements
The three homepage funnels are worked examples, not measured results or promised improvements. Each isolates one change and holds the other conversion assumptions steady.
- Better CTA conversion: 20,000 CTA views × 5.9% click-through = 1,180 visits; at 5% purchase conversion, 59 customers. At the previous 4.3% click-through, 43 customers. Difference: 16.
- More CTAs: 35 CTAs × 1,000 views each × 4% click-through = 1,400 visits; at 3% purchase conversion, 42 customers. With 25 CTAs, 30 customers. Difference: 12. This assumes additional CTAs maintain the same reach and effectiveness.
- Better timing: 10,000 CTA views × 3.6% click-through × 5% purchase conversion = 18 customers. At the previous 2.4% click-through, 12 customers. Difference: 6. This illustrates a possible improvement from changing when the same CTA is shared; it is not evidence that timing caused a measured lift.
These simplified examples treat clicks as visits. Actual services may count them differently. More asks, visits, or subscribers do not guarantee more customers; audience quality, timing, the offer, and downstream conversion all matter.
Bio example
The profile photo, bio text, and destination belong to Cory Althoff and are shown with permission. The displayed analytics are illustrative, not his actual account results: 20,000 CTA views at 4.3% versus 5.9% click-through, with 5% purchase conversion, yield 43 versus 59 customers. The +16 customer gain uses the same illustrative assumptions as the better-wording card. These are not measured profile impressions or a verified experiment.
Interpreting your own results
Views are impressions, visits are sessions, and CTAs are asks. They are not interchangeable counts of unique people. Connected services may use different attribution rules and reporting periods. Comparing independently reported subscribers or purchases with visits does not establish a matched visitor-by-visitor conversion rate.
Missing measurements remain unmeasured. Your results depend on your audience, offer, destination, tracking coverage, and timing.
Testing and improvement
Yapp helps you compare tracked CTA variants and learn from their recorded performance. This does not mean Yapp automatically runs randomized A/B tests, rewrites your CTAs, or guarantees an improvement.
Post and timing examples
The X post, CTA comment, Threads post, and Yapp alert on the homepage are illustrative mockups using Cory’s name and approved photo. The post text, engagement counts, alert thresholds, and performance numbers are examples, not published posts or actual account results. The before-and-after customer counts follow the assumptions in the CTA improvement examples above. Timing is not guaranteed to cause a lift; alerts notify users when their configured conditions are met.