Pulse ranks the product data your catalogue is missing by how many shoppers need it, not by how empty a field is.
Test shelf: 216 products
357 fields are missing information. Shoppers can’t use them to filter products, and your search can’t either.
| Name | Screen size80 missing | Memory60 missing |
|---|---|---|
| LG 16Z90TS-G | 16.0" | Missing |
| Spectre x360 | Missing | 16GB |
| ThinkPad X1 Carbon Gen 9 | Missing | 32GB |
| Razer Blade | 15.6" | Missing |
Every blank cell is a question your catalogue cannot answer.
Test shelf: 216 products
Auditing attributes| Name | Screen sizeauditing… | Memoryauditing… |
|---|---|---|
| LG 16Z90TS-G | 16.0" | Auditing |
| Spectre x360 | Auditing | 16GB |
| ThinkPad X1 Carbon Gen 9 | Auditing | 32GB |
| Razer Blade | 15.6" | Auditing |
Reading titles, descriptions and supplier specs.
Two ways to rank the same four missing attributes
Traditional audit
ranks by what is absent
ranks by what shoppers need
Traditional Catalogue Audit
ranks by what is absent
ranks by what shoppers need
Processor is missing from 162 products, so a traditional audit ranks it first. But only 2 of 32 shopper requirements mention it, so Pulse ranks it last. Fixing it first could waste time and resources with little impact on shoppers.
Recovering screen size
No new data purchasedCurrently, Pulse identifies Screen size as the attribute that needs priority correction.
161/ 216values were found in your existing product titles.
The other 55 genuinely need acquiring. We tell you which, so you can cost it before you commit.
Pulled straight out of your product titles
What your shoppers can now do
Verified on your catalogueAdding one attribute helped shoppers distinguish 63 more products.
Screen size recorded
Consumer goods
Ecommerce and electronicsEverything else follows from it: check what the repair moved, keep each shelf measured, and see which missing facts go with returns.
Which missing field to record first, ranked, in your own catalogue.
By what shoppers need, of 32 requirements
Example dataOne export · No integration · 48 hours
One export in, a ranked list out. No code, no tag, no system access.
You do this once
A CSV or JSON export. Product name, description, category, price, and whatever attributes you already record. No code, no tag, no access to your systems.
Your store
Laptops · 216 products
laptops.csv
216 rows
Product name, description, category, price and the attributes you already record.
| Name | Description | Category | Price | Screen size | Memory |
|---|---|---|---|---|---|
| HP Spectre x360 | 13.5" OLED Touch, 16GB | Laptops | Missing | 16GB | |
| Lenovo ThinkPad X1 Carbon G9 | 14 inch WUXGA | Laptops | Missing | 32GB | |
| MSI GS66 Stealth | 15.6 FHD 240Hz | Laptops | Missing | Missing |
Pulse
Receiving your export…
Export received216 products in the audit
48 hours
Within 48 hours: the ranked list of what to record first, the specific products missing each field, where each missing fact actually lives, and your decision-readiness number.
test-shelf.csv · 216 products
| Product | Screen size80 missing | Memory60 missing |
|---|---|---|
| LG 16Z90TS-G | 16.0" | Missing |
| Spectre x360 | Missing | 16GB |
| ThinkPad X1 Carbon Gen 9 | Missing | 32GB |
| Razer Blade | 15.6" | Missing |
| MacBook Pro | Missing | 18GB |
What to record first
RankedYour team, or ours
You may not need us for the fix at all. When it is done we recompute on the repaired catalogue and show you exactly what moved. No traffic, no test, no waiting.
Screen size, found in your titles
Recovered, no new data bought
Shoppers can tell apart
122185/ 216+63 products
Screen size recorded
216/ 216 · was 136
38%
of retailers do not allow shoppers to filter by their desired product attributes
Capture shopper intent from the first interaction
Pulse reads what a shopper is trying to decide from their very first interaction, before they search, filter or leave.
Connect shoppers with the right products
Each shopper’s intent is matched with the products whose attributes actually answer it, so they reach a suitable product sooner.
Reduce losing sales opportunities from early shopper exits
When products can’t be told apart, shoppers leave early. Fixing the attributes that decide the purchase keeps them choosing.
Turn commerce data into actionable marketing intelligence
Your catalogue and shopper signals become a ranked list of what to fix and promote first, not another dashboard to read.
Uncover insights others miss or fail to collect
Pulse measures the attributes shoppers need but your catalogue never recorded: the gaps a completeness report cannot see.
Pulse reads what a shopper is trying to decide from their very first interaction, before they search, filter or leave.
Each shopper’s intent is matched with the products whose attributes actually answer it, so they reach a suitable product sooner.
When products can’t be told apart, shoppers leave early. Fixing the attributes that decide the purchase keeps them choosing.
Your catalogue and shopper signals become a ranked list of what to fix and promote first, not another dashboard to read.
Pulse measures the attributes shoppers need but your catalogue never recorded: the gaps a completeness report cannot see.
As more products are affected by missing attributes, more purchase opportunities may be at risk.
Week 1
26
affected SKUs
Month 1
105
affected SKUs
Month 3
340
affected SKUs
Month 6
680
affected SKUs
Illustrative SKU counts, not measured Pulse results.
Explore a hypothetical revenue opportunity based on your website traffic, average order value, and assumed conversion improvement.
Current monthly revenue
Potential additional monthly revenue
Illustrative scenario only. Assumes visits and average order value remain constant. Uplift is an absolute percentage-point assumption, not a Pulse performance claim. Excludes costs and profit.
