ANARIX / PARTNER CASE STUDY
This specialty food brand had never sold a single unit on Walmart, no catalog, no reviews, no ad presence, no track record on the platform. Anarix built the account from a standing start: launch strategy, catalog and content, a layered ad program, and a scaling plan built for a brand with no Walmart history to lean on.
Total growth
launch month → month 9
Months grew
no month declined
Average MoM growth
across the period
Sales index
launch month = 100
The challenge
Launching with no signal to aim the first move at.
No track record
Walmart rewards brands that already have proof, reviews, sales velocity, a fulfillment history. A first-time seller has none of it.
No data to decide with
Pricing, fulfillment model and which items to lead with all had to be chosen without the usual account data.
Habitual shoppers
Grocery and CPG shoppers stay loyal to what they already buy, so earning a first trial takes more than a live listing.
Nothing to improve on
Catalog, content, reviews, ads and fulfillment all had to be built rather than optimized.
The starting point
Items live on Walmart
None
Customer reviews
Zero
Advertising history
No campaigns
Every one of these had to be built, not improved, which changes what a launch plan has to do.
Walmart · Grocery
Launch month → month 9
Total growth
launch month → month 9
Months grew
no month declined
What changed on the ground
Before, strategy, result.
No catalog · no reviews · no ad presence · no fulfillment decision
Foundation before launch · full ad program day one · optimize on signal · scale on proof
The playbook
A launch built in phases, not a single big bet.
Foundation, before anything goes live
Catalog, imagery and content built for a shopper who has never heard of the brand. Pricing set against the category and a fulfillment model matched to margin and delivery speed.
Launch with a full ad program from day one
No slow ramp. Sponsored Products, Search Brand Amplifier and a discovery layer went live together, so the brand had a real chance to be seen next to established players.
Optimize on early signal
The first weeks were about listening, which items, keywords and placements actually convert, then moving budget off what did not.
Scale and defend
Spend grew only behind proven items and keywords, then expanded the line and protected what had been won.
The data that told the story
Headline figures come from the partner account. Points between the documented ones are interpolated.
Sales index by month
Nine months of month-over-month growth, from a standing start.
The account in two states
What the playbook changes across the first nine months.
| Area | Before launch | After the playbook | Change |
|---|---|---|---|
| Monthly sales | Zero, pre-launch | Up 394% on launch month by month 9 | +394% |
| Catalog | Not listed on Walmart | Full line live, optimized content | Built |
| Social proof | Zero reviews or ratings | Active review generation program | Live |
| Advertising | No ad presence at all | Layered Sponsored campaign structure | Live |
| Fulfillment | 1P, 3P and WFS undecided | Model matched to margin and speed | Decided |
| Visibility | No account performance data | Daily visibility through Jiva | Daily |
| Budget logic | No basis to set one | Set and moved by what converts | Signal-led |
Why it works
What the launch taught us.
owns catalog, ads and fulfillment together, not three vendors
daily visibility through Jiva, starting before launch
each one scoped before it starts, so budget scales last
average month-over-month growth across the period
What changed
Before, strategy, result.
Before
No catalog · no reviews · no ad presence · no fulfillment decision
Strategy
Foundation before launch · full ad program day one · optimize on signal · scale on proof
Result
+394% total growth · 8 of 8 months up · +22.5% average month-over-month growth
By the numbers
Launch month through month nine.
Total growth
month 1 → month 9
Average MoM growth
across the period
Months grew
no month declined
Sales index at month 9
launch month = 100
Launch phases
foundation, launch, optimize, scale