Fintech

User growth up 200%.
$5M Series B secured.

A strategy pivot built around customer-centric product development, sharper product-market fit and scalable engineering turned a stagnating fintech into a growth story investors backed.

200% user growth
after the pivot
$5M Series B
round secured
3 priorities behind
the turnaround
Weekly metrics reviews
kept teams aligned

Client

A US-based fintech company operating in the payments and personal finance space.

Goal

Improve scalability and user acquisition to justify further investment and capture market share in a competitive category.

A good product wasn’t growing fast enough for investors.

The company had built a competitive financial product but was stagnating on user growth despite steady product development. Acquisition channels underperformed, onboarding friction limited activation, and engagement metrics had plateaued.

Investors were signaling that a meaningful up round required stronger traction and clearer product-market fit. Leadership had to pivot the strategy to improve engagement, scalability and valuation, while minimising disruption to existing customers and conserving runway.

Three constraints were non-negotiable:

  • Limited engineering capacity
  • A fragmented analytics stack masking customer insight
  • Marketing spend that wasn’t moving core metrics

Three priorities: customers, fit, scale.

The pivot started with deep customer discovery, interviews, behavioural analytics and cohort analysis, to identify the highest-value user segments and the moments that actually drove retention and referrals. That research reset the roadmap: streamline onboarding, surface high-value features earlier, and build tailored flows for target segments.

The fix wasn’t more marketing spend. It was making the first week of the product earn the second visit.

On the product side, iterative releases cut activation time and lifted first-week engagement, with UX changes, in-app guidance and contextual education for new customers. A/B testing and feature flags let the team run rapid experiments and measure impact on conversion and retention directly.

Engineering modernised the stack around modularisation and autoscaling so peak demand no longer degraded performance, and consolidated instrumentation gave real-time funnel visibility. Marketing budget shifted toward higher-intent, lower-cost channels, referral and onboarding incentives turned satisfied users into advocates, and partnerships with financial advisors and small business networks added distribution and credibility. Weekly metrics reviews kept product, engineering and commercial teams pointed at the same numbers.

From stagnation to a $5M round.

200% User growth within months of the pivot, driven by customer-centric product changes, targeted acquisition and scalable engineering.
$5M Series B funding secured on the back of demonstrated traction and a clearer growth plan, funding further expansion.
Valuation A significant boost to the company’s valuation as investor confidence rose with the improved metrics.
Architecture A more resilient, autoscaled architecture and a repeatable playbook for segment-focused acquisition now support continued growth.

The pivot delivered on both fronts that mattered: growth and fundability. Improved onboarding and product-market alignment made every acquisition dollar more effective, and the resulting traction gave investors the confidence to back a $5M Series B. Beyond the headline numbers, the company now has a more resilient architecture, a segment-focused acquisition playbook, and a repeatable experiment cadence, turning a stagnating business into a compelling growth-stage fintech.

* Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.

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*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.