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Case File 04Marketplace

SnappCarFix

Driving marketplace growth through campaign ownership and analytics from zero

Senior Business & Marketing Analyst · 2022–2023

Owned monthly promotional campaigns, built the first analytics foundation, and improved sales performance across categories and vendors.

10–20% above target every month
~10% marketing cost reduction
~14% unit sales increase (peak month)
First analytics dashboard built from scratch
Signal

An early-stage marketplace inside Iran's largest ride-hailing app was running campaigns without analytics, dashboards, or vendor-performance visibility.

System

There was no infrastructure to allocate budget, no view of which categories or vendors performed, and no shared truth across marketing, ops and the holding company.

Decision

Take end-to-end ownership of campaign P&L while building the analytics foundation in parallel — outcomes first, instrumentation right behind.

Build

Owned monthly campaign budget and execution across categories, stood up the company's first dashboards and data pipelines, and surfaced vendor-level performance for data-backed supplier conversations.

Outcome

10–20% above sales target every month, ~10% reduction in marketing cost, and the team's first real-time view of the business.

Learning

Move from descriptive to predictive earlier — a forecasting model would have made budget allocation more systematic and less reliant on intuition.

Detailed file

Context

SnappCarFix was an early-stage startup within Snapp Group — Iran's largest ride-hailing platform. The product sold spare parts, tires, oil, and car wash services to Snapp's driver network. Small team, large holding company, startup ambiguity.

Campaign P&L ownership

Took end-to-end ownership of monthly promotional campaigns — budget allocation across categories, coordinating price updates, briefing marketing on SMS/email/push campaigns, managing in-app banners. Operated as de facto campaign GM across a cross-functional team with no formal authority.

Data-driven budget optimization

Used historical campaign data to identify which categories and vendors drove the most efficient returns, then reallocated budget away from underperformers. Contributed to ~10% reduction in marketing costs while improving sales performance.

Analytics foundation from zero

No dashboards existed when I joined. Built the company's first analytics infrastructure — database connections, data pipelines, and dashboards tracking campaign performance, inventory, sales by category, and vendor reliability. Gave the team its first real-time view of the business.

Vendor performance management

Dashboards surfaced a previously invisible problem — certain vendors were underperforming. Making vendor-level data visible enabled data-backed supplier conversations, directly improving campaign delivery quality.

Outcome: Overachieved monthly sales targets by 10–20% every month across all categories from the point of full campaign ownership.

The PM-without-the-title angle

My title was analyst but the work was closer to a growth PM. I owned outcomes, not just analysis. Delivering results across marketing, operations, vendors, and the holding company — with no formal authority over any of them — required the same skills as product management: clear communication, influence through data, and aligning people around a shared goal.

What I'd do differently: Build a forecasting model earlier — moving from descriptive analytics (what happened) to predictive (what should we expect next month). That would have made budget allocation more systematic and less reliant on intuition.