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Case study: Serafina X ProfitPeak

Case study: Serafina X ProfitPeak

Peter Justin Yu

Aug 26, 2025




Insights from the collaboration:

1. Optimise advertising spend for contribution profit, not just revenue

ProfitPeak helped retailers focus on profit, not just revenue. After integrating with Serafina's Shopify store and ad channels like Google and Meta, ProfitPeak provided real-time profit data. Serafina's team was able to see the true contribution profit of every ad. The platform linked ad spend to product margins and all costs. This helps the team identify which ads are profitable and stopped spending money on ads that don't make profit.

2. Understand acquisition, LTV, and retention products across inventory assortment

ProfitPeak helped Serafina clarify their product performance. This is done by showing brands which products are best for customer acquisition. It also identifies which ones are best for customer retention. ProfitPeak further provided insights into customer lifetime value (LTV). Serafina was then able to see which customer groups are most valuable. This pushed the team to focus their efforts on long-term growth. Finally, the data is linked to the inventory system, this helped Serafina avoid pushing products with low margins.

3. Increase returning customer revenue in Klaviyo and reduce reliance on re-targeting ads

ProfitPeak integrates with Klaviyo and this integration adds real-time profit data to Serafina's Klaviyo account. The team can see how profitable their email and SMS campaigns really are - which they relied on to fine-tune their marketing efforts. This allowed for Serafina to increase returning customer revenue and reduce its reliance on expensive re-targeting ads.

4. Increase Meta EMQ scores, driving more profitable new customer acquisition

Serafina was facing low Meta Event Match Quality (EMQ) scores meaning Meta lacks user data. ProfitPeak fixed this with "server-side tracking" by capturing clean, first-party data (emails, phone numbers, and names). The data is then sent directly to Meta's Conversions API (CAPI). This data is more reliable than browser data and improved Serafina's Meta EMQ score. The higher score helps Meta's algorithms to find and acquire profitable new customers for them.

Curb Costs, Grow Profits

Curb Costs, Grow Profits

Curb Costs,
Grow Profits

Peter Justin Yu

Founding Marketer

Peter is a veteran marketer with more than 10 years in tech - securing three successful startup exits by amplifying game-changing businesses across APAC through digital storytelling.