Separate public and private questions
Public listings can support an assortment review. Conversion, repeat purchase and profit questions need your own records and should not be inferred from a competitor offer.
All use cases
REWALTO / FOR D2C
Put your storefront questions into a useful comparison.
D2C teams use Rewalto to plan assortment, pack and promotion research: what is listed, at what pack size and discount, and how a competitor's public offer changes over time. It reads public offers, so it does not show your sales or campaign results. Start with one product question.
THE DECISION COMES FIRST
What should you review before your next merchandising decision?
Your own store and a marketplace can present the same range differently. Start with a small question about products, packs or public offers, then check which sources can answer it. Keep storefront evidence separate from your private order and campaign data. Rewalto helps structure the public-data side of that review; it does not replace your store analytics.
PLAN THE QUESTION
Try a workflow that fits your day.
Choose an example and the fields you need. This planner outlines a request without running it or spending credits.
Your workflow planner
Planning onlyNo credits used
Which comparable products are represented on each covered channel?
- Choose a range and name the variants, bundles and exclusions.
- Compare available listings with your own supplied product list.
- Review unmatched products separately instead of calling every gap a missing listing.
Choose the fields your question needs
A listing comparison does not measure channel revenue, distribution agreements or the completeness of your private catalogue.
REQUEST STRUCTURE / NO DATA LOADED
Make the scope easy to review.
| Product name | Brand | Pack size | Retailer | Product link | Collection time |
|---|---|---|---|---|---|
| No records loaded. Check catalogue coverage before requesting data. | |||||
Review the planning brief
{
"audience": "For D2C",
"question": "Which comparable products are represented on each covered channel?",
"scope": [
{
"label": "Range",
"value": "A defined product family"
},
{
"label": "Pack rules",
"value": "Separate bundles from individual products"
},
{
"label": "Channels",
"value": "Covered sources relevant to your brand"
}
],
"requestedFields": [
"Product name",
"Brand",
"Pack size",
"Retailer",
"Product link",
"Collection time"
]
}Changing this layout does not run research, collect data or create a watch.
FROM SCOPE TO DECISION
Make the work repeatable.
A useful result starts with a consistent scope and ends with a conclusion the data can support.
Choose only available evidence
Check each entry for current status, supported fields, coverage and rate. A published rate does not make a Preview dataset available. Do not build a launch deadline around an unavailable source.
Make the review easy to act on
Use a clear comparison table, then add the question, conclusions and unresolved gaps. The report studio accepts supplied data for HTML sharing or browser PDF, without writing the analysis for you.
CHECK BEFORE YOU START
Current data, current limits.
Availability, coverage and rates come from the catalogue. A planning example does not establish that the requested records are held.
Checking the published catalogue…
Coverage and prices are not substituted with example values. Review the catalogue before making a data request.
FOLLOW THE QUESTION
Useful next steps.
BEFORE YOU GET STARTED
Questions worth asking.
What can a D2C brand research?
Assortment, pack and promotion questions across public listings: what is listed, at what pack size and discount, and how a public offer changes over time.
Does it show my sales?
No. Public offers are not sales or campaign performance. These workflows concern public data and records you supply; they do not connect to your orders, customer accounts or private advertising results.
Where do I start?
With one product or promotion question. Then check which catalogue entries can answer it before you plan around them.
Can a competitor sale tell us which offer will work?
No. A sale describes an offer, not its performance. Use your own experiments and commercial evidence before deciding what to copy or change.
Are promotion datasets ready to use?
Check their current catalogue entries. Preview means Coming soon even when fields and rates are published. Only Live entries can support an available data read.
FROM A QUESTION TO USEFUL DATA