How a D2C Innerwear Brand Cut CAC by 32% While Scaling Ad Spend

How a D2C Innerwear Brand Cut CAC by 32% While Scaling Ad Spend

See how blended ROAS saves 50L/mo for an innverwear brand

See how blended ROAS saves 50L/mo for an innverwear brand

The Problem

The brand was spending over Rs 50L/month across Meta and Google Ads but had no unified view of how ad spend translated to actual customer acquisition. Their marketing team spent 3-4 hours daily pulling data from multiple dashboards — Meta Ads Manager, Google Ads, Shopify, and GA4 — just to answer basic questions like "What's my blended ROAS today?" or "Which product categories are driving new vs. repeat customers?" Worse, creative fatigue was silently killing their campaigns. Ads that performed well in Week 1 would quietly degrade, and by the time the team noticed, they'd already burned through budget on underperforming creatives.

The Problem

The brand was spending over Rs 50L/month across Meta and Google Ads but had no unified view of how ad spend translated to actual customer acquisition. Their marketing team spent 3-4 hours daily pulling data from multiple dashboards — Meta Ads Manager, Google Ads, Shopify, and GA4 — just to answer basic questions like "What's my blended ROAS today?" or "Which product categories are driving new vs. repeat customers?" Worse, creative fatigue was silently killing their campaigns. Ads that performed well in Week 1 would quietly degrade, and by the time the team noticed, they'd already burned through budget on underperforming creatives.

How They Use Predflow

How They Use Predflow

Every morning teams start by asking questions to Predflow in plain English:

- "What's the ROAS for last 3 days by platform and campaign?"
- "Detect creative fatigue — which ads need to be refreshed?"
- "Monthly movement of CAC at total, innerwear, and outerwear level"
- "Which SKU dropped and which got scaled in last 7 days, day on day?"

For deeper strategic decisions, they run analyses like:

- "Calculate new user CAC & repeat user CAC for Facebook by product type"
- "What are the key learnings on the type of customers acquired from April 2024 to March 2025 vs April 2025 to Jan 2026?"
- "Rank the top product type categories previously purchased by all repeat customer orders"

Every morning teams start by asking questions to Predflow in plain English:

- "What's the ROAS for last 3 days by platform and campaign?"
- "Detect creative fatigue — which ads need to be refreshed?"
- "Monthly movement of CAC at total, innerwear, and outerwear level"
- "Which SKU dropped and which got scaled in last 7 days, day on day?"

For deeper strategic decisions, they run analyses like:

- "Calculate new user CAC & repeat user CAC for Facebook by product type"
- "What are the key learnings on the type of customers acquired from April 2024 to March 2025 vs April 2025 to Jan 2026?"
- "Rank the top product type categories previously purchased by all repeat customer orders"

"We used to have a weekly ritual of pulling data from 4 platforms into a spreadsheet. Now I just ask Predflow 'why did revenue drop yesterday?' and get the answer with root cause in seconds. It's like having a senior analyst on the team who never sleeps."

Head of Growth

Frequently Asked Question

Frequently Asked Question

What is Predflow?

Does Predflow work with Meta and Google Ads?

Is there a Predflow Shopify app?

How is Predflow different from Meta Ads Manager or Google Ads dashboard?

Can Predflow detect creative fatigue?

Does Predflow support multi-touch attribution?

How quickly can I get started with Predflow?

Competitive Edge

Simple Attribution

Ad Intelligence

Ad Intelligence

Social Analysis

Social Analysis

Social Analysis

Social Analysis

Social Analysis

Social Analysis