Overview

When we began working with AutoDS, they were an ambitious eCommerce SaaS company with an automation-first product — but no scalable acquisition machine. Their creative was inconsistent. Funnels weren’t converting. CAC was volatile. And churn was rising as feature bloat outpaced onboarding clarity.

Their leadership team needed a system that could scale paid acquisition efficiently, improve LTV-to-CAC ratio, and lay the operational groundwork for future acquisition discussions.

Approach

We approached AutoDS like a startup in acquisition prep mode. Our goal: build a durable, replicable, multi-channel growth system — not just patch campaigns.

We began with funnel triage: running 12 inbound lead gen variants across Meta, YouTube, and Google, using stripped-down video creatives and problem-first angles (“Your VA shouldn’t be managing fulfillment manually”). We rebuilt their landing page framework using modular content blocks tied to creator personas (dropshipper, Amazon seller, FB Marketplace user).

Average CAC dropped by 42% within the first 60 days of creative + funnel refactoring.

We then built a full retention bridge between sales and onboarding, with email flows, Loom-based support content, and embedded micro-surveys to reduce churn trigger points before they surfaced.

Finally, we built a live growth dashboard inside Airtable/Looker Studio that monitored MRR by cohort, active trial velocity, ROAS per platform, and onboarding-to-upgrade lag. This dashboard was demoed directly in early acquisition conversations with Fiverr, helping prove scale-readiness and process efficiency.

MRR more than doubled in the nine months leading up to acquisition.

By the time the deal closed, AutoDS had a complete and predictable acquisition engine — and a data story that backed it.