Research
Define the products, audiences, messages and objections worth testing.
AMPLIADIncrease your brand exposure with the high quality production you need to post 100 times a day.
SCALE MY ADS NOWTikTok Facebook Instagram
The Ampliad system
Research becomes concepts. Concepts become executions. Media results direct what gets made next.
Define the products, audiences, messages and objections worth testing.
Turn the strategy into 150 human-directed creative concepts.
Capture the product, then develop 3,000 platform-specific executions.
Organise and activate the library across TikTok, Facebook and Instagram.
Feed live performance back into the next creative cycle.
Paid-ad research from TikTok and Meta
More creative creates more opportunities to find what connects. Better creative gives every impression a stronger chance to work. New creative keeps the system supplied with fresh ways to reach people. The platforms’ own paid-ad studies support all three.
A larger supply gives paid-social systems more useful options to serve, rotate and learn from.
11.7% higher ad recall, 1.6× purchase intent and 4.4% higher awareness in Europe and Israel.
29% lower median incremental cost per purchase in Advantage+ Shopping campaigns than campaigns with fewer assets.
Volume cannot rescue weak work. Every new execution still has to earn attention and fit its platform.
High-emotion ads also produced 1.7× higher ad-recall lift and 2.9× higher brand-association lift.
For Reels ads using vertical 9:16 video, audio and safe-zone messaging compared with image ads.
Fresh angles and formats help reach different people while reducing reliance on tired creative.
Observed when advertisers added more new paid creatives to their ad groups and refreshed them weekly.
A diverse mix of formats and messages also produced up to a 32% improvement in CPA.
The research supports the direction. Ampliad scales it aggressively—building a far deeper supply of finished, high-quality creative for continual selection, deployment and refresh.
These are results reported by TikTok and Meta from their respective paid-ad research. They support the principles behind Ampliad’s production model, but they do not guarantee that any campaign will reproduce the same results.