How ElevateOS gave Wonderchef an 8× ROAS turnaround
Whilter.AI fixed the leaky funnel on the bleeding product lines — SKUs stuck below 1× ROAS came back at 2.5–3.1× in 90 days.
0.05×→3.09×Purchase ROAS · 90 days
The impact
+166%Link CTR uplift across matched experiments
61.8×Twister ROAS jump: 0.05× → 3.09×
10.3×Remarketing CTR jump: 0.86% → 8.90%
₹29.7LRevenue from Elevate creatives in 90 days
Click-through rate — before vs after
0.47% 1.49%
Twister3.2×
0.32% 1.93%
Chai Magic6.0×
1.08% 2.84%
Chef Magic2.6×
0.86% 8.9%
Remarketing10×
BeforeAfter
Link CTR on matched head-to-head experiments; growth multiple shown per SKU.
Return on ad spend — before vs after
0.05× 3.09×
Twister62×
0.54× 2.47×
Chai Magic4.6×
4.33× 3.75×
Chef Magic0.9×
4.4× 5.51×
Remarketing1.3×
BeforeAfter
Purchase ROAS; loss-making SKUs returned to 2.5–3.1× and remarketing compounded.
Product experiment
ROAS before
ROAS after
CTR before
CTR after
Growth
Twister
0.05×
3.09×
0.47%
1.49%
61.8× ROAS · 3.2× CTR
Chai Magic
0.54×
2.47×
0.32%
1.93%
4.6× ROAS · 6.0× CTR
Chef Magic
4.33×
3.75×
1.08%
2.84%
2.6× CTR lift
Remarketing (ATC)
4.40×
5.51×
0.86%
8.90%
1.3× ROAS · 10.3× CTR
* Matched head-to-head experiments — before/after measured on the same product line and audience, over the same window.
The challengeMedia budget was ready. Creative supply wasn't.
Wonderchef is a leading D2C kitchen-appliances and cookware brand from Sanjeev Kapoor. In a creative-led category, growth was gated by how fast winning creatives could be produced, tested and scaled.
Six symptoms compounded into falling returns:
Limited production bandwidth. A lean creative team couldn't keep pace with the volume of concepts performance marketing needed.
Slow turnaround. Long lead times delayed launches and let demand windows pass.
Testing couldn't scale. Too few variants starved Meta of fresh signals.
ElevateOS ran a closed-loop creative-to-conversion system — generating brand-safe variants at sprint cadence, mapping them to bottom-of-funnel audiences, and testing every asset head-to-head against the incumbent control before a rupee of budget scaled behind a winner.
a · Strategy
Data before playbook
Every creative was judged on one thing — whether it produced profitable BOFU purchases — not on opinion or awareness proxies.
b · Solution
Five moves, one system
Generate, target, test, scale, refresh — sequenced like a performance engine so winners compounded and waste was retired fast.
c · Tech
AI removed the ceiling
Multiple hooks, formats and angles per SKU in a single cycle — creative supply finally matched media ambition and testing needs.
d · Execution
Experiment-led scaling
Every Elevate asset launched against the incumbent control for the same product and audience; budget only followed proven lift.
1
Generate at scale
ElevateOS produced multiple hooks, formats and messaging angles per SKU in a single cycle.
2
Target BOFU audiences
Variants were mapped to remarketing pools, add-to-cart users, interactors, and conversion lookalikes.
3
Test head-to-head
Every Elevate asset launched against the incumbent control for the same product and audience.
4
Scale winners, retire waste
Winners scaled on CTR, ROAS and conversion rate; underperformers were retired quickly.
5
Refresh continuously
Fatigued creative was replaced before it could drain ROAS.
The weapon
The creative that did the work — a few of the assets Whilter shipped into the account.
Spend was never the constraint — once creative supply scaled, the same budget produced more profitable purchases.
Intent-matched messaging
BOFU creatives spoke to high-intent buyers instead of recycling awareness hooks.
Proof before budget
Every scale-up followed a head-to-head win, so gains compounded instead of regressing.
Fresh signals for Meta
A constant stream of new variants kept the algorithm learning and CTR climbing on every experiment.
The compounding insightcreative supply stopped bottlenecking spend. Click-through rose on every experiment, loss-making SKUs returned to 2.5–3.1× ROAS, and Wonderchef could scale bottom-of-funnel budget against proven creative.
“Whilter Elevate didn't just give us more creative — it gave us a system. We went from waiting on assets to testing winners every week, and the SKUs we'd almost given up on are profitable again. It felt like adding an always-on growth team to our performance engine.”
Figures derive from Wonderchef's Meta Ads campaign export. "After" = campaigns built with Whilter Elevate, identified by Whilter / experiment tags launched during the 90-day engagement; "before" = incumbent BOFU performance creatives for the same product line and audience. ROAS = purchase conversion value ÷ amount spent; CTR = link clicks ÷ impressions. The headline "8× ROAS turnaround" is the blended purchase-ROAS recovery across the loss-making SKUs — from ≈0.3× to ≈2.8× across Twister and Chai Magic, stated conservatively. Blended cohort figures are spend- and impression-weighted across Elevate campaigns: ₹8.46L spend, ₹29.7L revenue, and 1,256 purchases.
Wonderchef — frequently asked questions
What results did Whilter deliver for Wonderchef?
+166% CTR · 8× ROAS turnaround. Delivered with ElevateOS. See the full breakdown above.
How were these results measured?
Figures derive from Wonderchef's Meta Ads campaign export. "After" = campaigns built with Whilter Elevate, identified by Whilter / experiment tags launched during the 90-day engagement; "before" = incumbent BOFU performance creatives for the same product line and audience. ROAS = purchase conversion value ÷ amount spent; CTR = link clicks ÷ impressions. The headline "8× ROAS turnaround" is the blended purchase-ROAS recovery across the loss-making SKUs — from ≈0.3× to ≈2.8× across Twister and Chai Magic, stated conservatively. Blended cohort figures are spend- and impression-weighted across Elevate campaigns: ₹8.46L spend, ₹29.7L revenue, and 1,256 purchases.
Can Whilter deliver results like this for our brand?
Start with a Growth Assessment. We map your accounts, identify the highest-leverage problem, and show you what the connected engine would ship next. Explore more enterprise growth stories.
