The challenge
321 Ignition is a SaaS platform for automotive dealerships, focused on generating high-quality online leads. As adoption grew, customers increasingly requested tailored changes, while our core value proposition (2–4x lead growth) was difficult for prospects to trust without credible proof.
We faced two connected challenges:
Product fragmentation risk: Individual customer requests threatened to erode a scalable, repeatable product model.
Trust gap in acquisition: Strong performance claims lacked verifiable proof, slowing conversion and increasing reliance on sales-led persuasion.
This created tension between scaling the product and building confidence in the outcome.
Approach
I observed that the founder was receiving unusually strong, credible feedback from a small number of high-performing customers at industry events. These customers were not only seeing exceptional results, but were willing to advocate for the product publicly.
I recognised an opportunity to formalise this into a strategy, rather than relying on ad hoc anecdotes.
I defined and led a reference customer strategy, selecting three strategically important customers:
A large auto group (scale and operational complexity)
An influential independent dealership (industry credibility)
An OEM dealership (brand and compliance constraints)
These customers became core partners across both product and growth.
I focused on two areas:
1. Steering product and design around high-signal customers
Aligned the design and product teams around using reference customers as primary inputs into decision-making
Shifted thinking away from accommodating individual requests towards identifying scalable patterns
Built strong, ongoing relationships with these customers to deepen insight and feedback loops
2. Creating a credible system for trust
Turned real customer outcomes into endorsed, evidence-based case studies
Ensured transparency and permission in how data was shared
Integrated these proof points into key moments in the sales and marketing journey to support decision-making
Challenges & trade-offs
This approach introduced several tensions:
Balancing instinct vs evidence: I needed to align with a co-founder (an experienced designer) that, at times, we would prioritise reference customer needs over our own design instincts. This included testing UI and interaction patterns that didn’t always align with our assumptions about Gen Y end users, but were validated by customers delivering strong commercial results.
Avoiding overfitting to a small cohort: With product direction heavily influenced by a small set of customers, I continuously validated that they remained representative of our target market. This included closely monitoring their performance data and ensuring their results continued to improve over time.
Responding to external change: I ensured our direction remained grounded in broader market shifts. For example, when Google prioritised mobile-first indexing, we accelerated a mobile-first design approach and reflected this in our positioning. Similarly, when competitors introduced features such as 360° vehicle views, I validated their relevance with reference customers before committing investment.
These trade-offs required ongoing judgment to balance specific customer insight with wider market relevance, and customer signal with market reality.
"When you win, I win."
⎻ Victor, dealership owner
Outcomes
23% increase in new site sign-ups within 6 months
Maintained a scalable product despite growing demand for customisation
Reduced reliance on ad hoc sales reassurance through credible, repeatable proof
Strengthened relationships with high-value customers who became active advocates and contributors to product direction
Why this matters
This work demonstrated how to balance product standardisation with customer influence, while addressing a key barrier to growth: trust in high-impact claims.
By turning a small set of customers into a structured, high-signal system, we improved both product decision-making and market credibility at scale.