Case Study — Amazon PPC Automation Platform

4 personas. 4 onboarding paths. Goal-based routing that matches sellers to the right experience.

An Amazon PPC automation platform had polarized adoption — some users activated immediately, others were paralyzed by fear. Research revealed they were four completely different buyers.

Personas defined with behavioral profiles

Onboarding screens with branching logic

Qualitative interviews synthesized

Behavioral frameworks applied — JTBD, Fogg, Kano, Forces

Before.

A PPC automation platform sells PPC automation to Amazon sellers — but Amazon sellers are radically different. A solo entrepreneur spending $5K/month on ads has completely different needs than a growth CEO spending $50K/month. Without segmentation, onboarding was a generic flow that worked for nobody.

Some users activated immediately. Others were paralyzed by fear that automation would destroy their campaigns. Churn varied wildly by segment but the team didn’t understand why.

The Situation

One-size-fits-all onboarding serving 4 radically different buyer types
Polarized adoption — some users activate instantly, others never return
High-ability users frustrated by hand-holding. Low-ability users overwhelmed by complexity
No behavioral segmentation — churn drivers invisible

What we did.

Built branching onboarding from user research. Activation path separated by seller type.

Step 1 — Qualitative Research

8 in-depth interviews with Amazon sellers across experience levels. Mapped motivation, ability, anxiety, and goals for each segment.

Step 2 — Persona Development

4 personas with full behavioral profiles: The Overwhelmed Manual Manager (motivation 9/10, ability 2/10), The Growth-Focused Entrepreneur (motivation 9/10, ability 8/10), The Cautious Professional (motivation 6/10, anxiety 9/10), The Data-Driven Analyst (verification-focused).

Step 3 — Multi-Framework Analysis

Applied JTBD (what they’re hiring the product to do), BJ Fogg (Motivation × Ability × Trigger), Kano (must-haves vs delighters), and Forces (push/pull/anxiety/habit) to each persona.

Step 4 — Goal-Based Onboarding Design

5-screen modal system with branching logic. Screen 1: goal selector. Subsequent screens adapt based on seller type. Routes to GUIDED path (step-by-step, templates) or EXPERT path (direct feature access, advanced config).

Step 5 — Template System

3 onboarding templates per path: Quick Start, Growth Mode, Learn-While-You-Automate, Custom. Setup time: 5–30 minutes depending on path.

After.

Personas with Motivation × Ability × Anxiety scoring

Screens — goal-based onboarding with branching logic

Activation paths — GUIDED for low-ability users, EXPERT for high-ability

15–25

Features mapped as must-have, performance, or delighter per persona

5–20 hrs/week

Manual optimization time eliminated for overwhelmed sellers

Frameworks — JTBD + Fogg + Kano + Forces applied per persona, not globally

What you can do now.

Your product team knows exactly why different users succeed or fail. The Overwhelmed Manager isn’t unmotivated — they’re highly motivated (9/10) but have no ability (2/10). The Cautious Professional isn’t uninterested — they’re anxious (9/10). Different problems need different solutions.

Your onboarding routes users to the right experience automatically. High-ability sellers skip the tutorial. Low-ability sellers get templates and guided setup. Nobody sees features they don’t need yet.

Your retention strategy can target the real churn drivers per segment. Overwhelmed users need simplicity. Cautious professionals need transparency and control. Data-driven analysts need verification tools. One intervention can’t serve all three.

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Jake McMahon

ProductQuant

10 years building growth systems for B2B SaaS companies at $1M–$50M ARR. BSc Behavioural Psychology, MSc Data Science. This engagement required synthesizing qualitative research with four behavioral frameworks to design onboarding that serves radically different users from the same entry point.

Different users. Same onboarding. Sound familiar?

A 15-minute call is enough to know whether what we do is relevant to where you are. No pitch. Just a conversation about your specific situation.

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