Look at the trend before breaking down the script
Competitor analysis should not start with script breakdown. A stronger workflow first checks ad volume and creative volume, then decides what type of creatives deserve analysis. Different trend patterns imply different questions. If both ad volume and creative volume decline, the team should ask whether the competitor is reducing tests. If ad volume rises while creative volume falls, the team should ask whether fewer creatives are carrying more spend.
This draft uses live verified AppGrowing app trend data pulled on June 23, 2026. The current period is May 1 to May 25, 2026. The comparison period is April 10 to April 30, 2026. Candy Crush, Whiteout Survival, TikTok and WhatsApp all showed declines in both ad volume and creative volume. CapCut was the exception, with ad volume up 12.6 percent and creative volume down 2.3 percent.
How to read synchronized decline
Candy Crush recorded 38,032 ads in the current period, down 8.2 percent from the previous period. Creative volume reached 4,248, down 4.6 percent. This pattern does not show aggressive new testing. A creative team should not rush to imitate every new ad. It should identify structures that are still being delivered and ask which hooks continue to carry spend.
Whiteout Survival declined more sharply. It recorded 24,046 ads, down 17.8 percent, and 5,189 creatives, down 9.6 percent. Ad delivery fell faster than creative count. For SLG or strategy game teams, this is a good moment for retained creative analysis. The goal is to find which structures remain active during a contraction cycle.
TikTok had the largest scale in the sample. It recorded 1,645,913 ads, down 5.2 percent, and 315,193 creatives, down 4.3 percent. A small synchronized decline at this scale may indicate a stable delivery cycle rather than a major strategy shift. For a competitor like this, the analysis should focus less on one winning ad and more on how the creative matrix covers different user scenarios.
WhatsApp recorded 121,565 ads, down only 0.7 percent, and 57,639 creatives, down 5.1 percent. Delivery was nearly stable while creative count fell. This suggests stronger reliance on existing creative structures. For utility or communication apps, teams should examine repeated message points rather than only chase new hooks.
Why rising ads with falling creatives deserve deeper analysis
CapCut recorded 6,978 ads, up 12.6 percent, while creative volume fell 2.3 percent to 2,774. This is the strongest signal in the five app sample. Rising ad volume means delivery became stronger. Falling creative volume means that added delivery may be concentrated around fewer creatives or more stable script structures.
In this case, teams should prioritize three questions. First, which creatives were retained during the ad growth period. Second, whether the first 3 second hooks became more concentrated. Third, whether the product proof became more direct, such as template results, before and after editing, AI feature display or faster creation workflow.
How to turn trend data into script decisions
The first pattern is falling ads and falling creatives. Do not expand production blindly. Find retained creatives. Retained creatives often represent structures the competitor still trusts. The script action is to review the core hook, emotional trigger and product proof, then produce a small number of high quality variants.
The second pattern is rising ads and falling creatives. This calls for concentration analysis. If fewer creatives carry more delivery, some structures may be more efficient. The script action is to rewrite around those structures from multiple angles instead of simply increasing creative count.
The third pattern is rising ads and rising creatives. This did not appear in the five apps checked in this draft, but when it appears, the competitor may be expanding its testing matrix. The script action is to split hook types quickly, build 3 to 5 emotional entries, and create 2 to 3 visual versions for each entry.
Script generation still needs a five layer structure
No matter which trend pattern appears, scripts should be broken into five layers. The first layer is the first 3 second hook. The second is emotional trigger. The third is product proof. The fourth is visual structure. The fifth is final action.
For an app like CapCut, where ads rose while creatives fell, a script should not simply say show the AI editing feature. A stronger template opens with a strong before and after editing contrast, then proves how a template or AI feature reduces steps, and ends with a specific task such as make the same video with this template.
For a strategy game like Whiteout Survival, where both ads and creatives fell, the script should not only chase new mini game formats. It should first examine retained structures such as survival pressure, resource crisis, base upgrade, alliance conflict or boss battle, then judge whether those structures still connect to the core strategy experience.
Conclusion
The first step in competitor ad analysis is not writing scripts. It is reading the trend. Candy Crush, Whiteout Survival, TikTok and WhatsApp all showed declines in both ad volume and creative volume in this verified check. CapCut showed rising ad volume with falling creative volume. Each trend requires a different script action. Synchronized decline means finding retained creatives. Rising ads with falling creatives means analyzing concentrated structures. Double growth means expanding the test matrix. This is how competitor data becomes a creative production system.
