Case studies

Real brands. Specific numbers.

What actually broke, how fast it was found, and what it was worth once it was fixed.

Jewelry · DTC

A consent setting nobody noticed sent CAC up by $2M.

Incorrect Shopify configuration stopped first-party data reaching the ad platforms. Signal loss went undetected while CAC climbed.

25%
Reduction in CAC year over year
95%
Faster detection of revenue-impacting issues
Read the case study

Jewelry · DTC

How critical Shopify misconfigurations broke the top line.

Consent settings silently broke data capture. A 90% traffic drop took three days to find and cost $750K in revenue.

95%
Faster detection of revenue-impacting issues
50%
Reduction in team and tooling costs
Read the case study

Grooming · DTC

International remarketing was dead. Nobody knew why for weeks.

Improper phone number formatting broke every Klaviyo SMS flow outside the Americas, quietly costing $19K a month.

2x
Improved returning user traffic
+4.5%
Recovery of lost revenue
Read the case study

Beauty · DTC

A $40K/mo revenue leak, now caught the same day.

A theme update quietly broke a checkout step. Traffic looked normal, so nothing flagged it until the monthly close.

$40K/mo
Leakage caught
Same day
Break to fix, down from weeks
Read the case study

Beauty · Devices

Creative refresh time halved by ranking ads on revenue, not clicks.

Working out which ad actually drove sales took two to three days of pulling reports and cross-referencing Shopify orders.

Halved
Creative refresh cycle
Overlap waste cut
Campaigns no longer bidding against each other
Read the case study

Health · Subscription

Creative strategy rebuilt around 90-day LTV, not day-one conversion.

Every ad was judged on day-one conversion because that was the only number fast enough to act on. Cheap converts churned by month two.

Blended LTV lift
After re-ranking creative on lifetime value
90-day
New decision window, replacing day one
Read the case study

Home · Decor

From hearing about problems from customers to catching them in under an hour.

Conversion problems surfaced through support tickets, hours or days late, and every tool reported a slightly different number.

Under 1 hr
Time to catch a meaningful drop
1
Shared source of truth across tools
Read the case study

Apparel · Intimates

Ending the blended-metrics argument with one number everyone trusts.

Meta claimed one attribution number, Klaviyo another, Shopify a third. Weekly meetings opened with a debate instead of a decision.

1 number
Replaces three or more conflicting reports
Hours saved weekly
No longer spent reconciling
Read the case study

Beauty · Skincare

Three tools became one after outgrowing what a single dashboard could answer.

Triple Whale was not broken. It just stopped answering enough questions once the brand crossed $120M GMV.

3 tools → 1
Consolidated intelligence layer
$120M
GMV scale supported
Read the case study

Home · CPG

A regional margin drop caught two weeks before the board review.

Margin looked healthy nationally while one region quietly lost money. Every report rolled up to a single number.

2 weeks
Ahead of the board review
Margin protected
In the affected region
Read the case study

Home · CPG portfolio

Four storefronts run from one Slack channel.

Four brands meant four dashboards and four sets of alerts. The CEO logged into each one just to know if anything needed attention.

4 → 1
Storefronts to a single channel
Hours saved weekly
Reporting time returned to the CEO
Read the case study

Find your first leak in 48 hours.

No credit card. 30-minute setup. White-glove onboarding included.

$15B in brand revenue under management · all inbound