Pre-launch Lite validation showed the upgrade beating the current pack but trailing competitors — novelty and need-relevance pinned as the fix directions.
✦Does my pack win on the digital shelf?
E-commerce Pack Testing
Legacy pack-test wisdom fails on digital shelves, where the shelf is a thumbnail in a listing. This solution moves testing into a replica store: behavior answers "does it win," probing answers "why."
Book a demoPowered byezTestezTalk
Why the old way fails
Traditional pack tests don't transfer to e-commerce, and existing digital methods force a trade-off between knowing what consumers do and knowing why.
The path
How the chain runs
- 01
Simulated shopping: consumers browse replica listing and detail pages, yielding click, add-to-cart and purchase behavior.
- 02
A see-me / want-me / buy-me metric framework joins behavior with attitude.
- 03
Logic-driven probes follow each listing click and detail-page purchase, surfacing the why behind the act.
- 04
E-Pack Lite (ezTest quant, ≥300 per cell): screening and pre-launch validation, each cell fielding your new pack against 1 key and 6 other competitors.
- 05
E-Pack Pro (ezTalk session, 100-150): the full shopping journey replayed live, with heatmap clicks and open probing to mine optimization directions.
Key numbers
≥300recommended sample per Lite cell
100~150recommended sample per Pro scenario
1+1+6per cell: new pack + key rival + six others
3环节stages: see me → want me → buy me
Field cases (anonymized)
A simulated-JD Pro study ranked three candidates by real choice behavior, picked the winner, and diagnosed bubbles and green as delight elements — while flagging imagery that felt oppressive over the baby.
What you get
Behavioral and diagnostic results per pack across all three stages, a launch-readiness verdict, and concrete optimization guidance.
Want this run on your question?
Smart insight, faster decisions