Growth & Performance Marketing — Paid Social, B2B Outreach, E-commerce

Karachi, Pakistan · [email protected] · +92 317 1032785 · LinkedIn

Two case studies below: building a B2B acquisition system from zero for a US SaaS startup, and running a small-budget Meta ads test for a local FMCG brand — including what underperformed and why. Currently completing a BBA in Marketing at Bahria University, Karachi.


Case Study 01 — B2B SaaS, United States

Revilo Technologies: Building an Acquisition System From Zero

Client Revilo Technologies Industry Automotive SaaS
Market Atlanta & Dallas, US Engagement 1 year

The situation

Revilo is an early-stage SaaS startup building a platform that connects drivers with automotive service providers across the US. The app was pre-launch when I joined — no online presence, no providers on the platform, no outreach pipeline. Everything needed to be built from scratch, on both the demand side (drivers) and the supply side (mechanics, tow trucks, fleet services).

Paid acquisition test — Meta Ads

Rather than wait for launch, I ran a lean 7-day Meta test to check whether paid social could generate leads ahead of time: geo-targeted campaigns on Atlanta and Dallas, lookalike and interest-based audiences, on a $100 budget.

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4 qualified leads · $25 cost per lead on a cold audience · $100 total test budget

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Once it was clear the app itself wasn't ready for customer acquisition, I paused the ads and redirected the budget and effort toward provider acquisition instead.

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B2B outreach system — provider acquisition

I built the full cold outreach system from scratch to bring automotive service providers onto the platform: contact list building across mechanics, tow trucks and fleet services in Atlanta and Dallas; HubSpot setup with sequences, automation workflows, segmentation and pipeline tracking; and the outreach copy and strategy itself.

Sequence Result
Sequence 1 — 48 contacts 2.84% reply rate · 2.27% meeting rate
Sequence 2 — 63 contacts Deployed with automated follow-up

Every lead moved through automated follow-up sequences, so nothing was manually tracked or lost.

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