AUTOMOTIVE

Reactivating Dormant Automotive Agents Through Mixed Methods Growth Research

A deep dive into how Moladin leveraged data and qualitative insights to solve the dormancy gap for automotive agents.

Modern office workspace with laptops and monitors showing analytics dashboards

Background

To scale its automotive marketplace, Moladin launched a dedicated application for partners (agents). Product analytics revealed a critical activation bottleneck where agents were registering but remaining dormant. This dropoff post-registration threatened the long-term supply growth of the marketplace.

Objectives

Deconstruct Dormancy Drivers

Discover root frictions, hidden anxieties, and core motivations of the agent persona.

Maximize Core Action Conversions

Identify product levers for end-to-end buying and selling engagement.

Methodology

A systematic, mixed-methods approach to growth research.

Cohort Profiling

Working with the Data Team to identify behavioral patterns.

Qualitative IDIs

One-on-one interviews to diagnose friction points.

Validation Survey

Quantitative surveys to validate individual insights.

Ideation Workshop

Cross-functional sessions to map solutions.

Core Findings

Fragmented Activation Loop

Research highlighted a lack of clarity in app onboarding specifically for non-digital natives. The transition from physical canvassing to a digital interface created high cognitive load.

Obscured Value Proposition

A significant knowledge gap existed regarding financial incentives and commissions. Agents were unaware of the immediate benefits of listing and transacting through the platform.

Strategic Recommendations

Onboarding Revamp for Core Actions

Redesign transaction onboarding into an intuitive, guided flow that simplifies complex multi-step processes.

Incentive Transparency

Implement transparent structures and awareness campaigns that align with existing community values and agent goals.

Impacts

Product Roadmap Realignment

Analytics strategy to prioritize activation barriers over new feature development, based on evidence.

Positive Metric Trajectory

Observed an immediate increase in MAU and unique car listings through the pilot implementation.