FinTech

FinTech Growth Analytics & Data Optimization

Customer Acquisition & Activation

Growth in FinTech depends on understanding where users come from, which channels drive conversion, and how to move them efficiently through onboarding.

Many companies rely on patchy CRM data, last-touch attribution, and manual reporting. Sustainable performance needs solid data foundations: capture every interaction, enrich with firmographic & demographic signals, and build accurate forecasting so sales, marketing, and finance operate from the same truth.

With complex user journeys across mobile apps, payment gateways, and partner networks, we make it easier to measure acquisition costs, optimize sign-up flows, and turn new users into active, retained customers.

Product Led Growth
Optimizing your funnel is essential to success. You need to understand where users come from, which users are most likely to convert to paid, the features or journeys which drive activation, which users should be diverted to sales and how to maximize renewal rates.

Few tools are truly built for Product Led Growth companies - most are either designed for sales teams or B2C. Many PLG companies end up with data silos, leading to fragmented customer journeys. True optimization requires you to unify data across product, sales and marketing. To combine granular interaction data with opportunity, firmographic & demographic data.

Enterprise Sales & Demand Generation
Enterprise sales funnels are long and complex. To drive efficient growth you need to know which campaigns are driving the most valuable leads, which leads to pass to sales and how much of your pipeline will turn into revenue. And you need to know it all today, not in 6 months when the lead converts.

Many companies rely on patchy Salesforce data, untested lead scoring and last touch attribution. To truly succeed you need solid data foundations - that means tracking every marketing interaction, enriching those interactions with firmographic & demographic data and then accurately forecasting lead value.

Data Foundations & Governance

FinTech operates in a high-regulation environment. We design analytics that are compliant by default — consented data collection, clear lineage, and controls that satisfy auditors without slowing teams down. The result: trustworthy reporting, faster decisions, and the freedom to innovate.

AI-Powered Decisioning

From risk scoring to personalized onboarding, AI can unlock step-changes in efficiency. We help you productionize models on reliable data, monitor performance, and tie model outputs to business KPIs - so automation drives measurable impact.

The FinTech space is increasingly defined by intelligence and automation. Our approach blends strong data foundations with emerging AI insights - helping brands stay adaptive as technology reshapes customer engagement and financial decision-making.


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Common Customer Challenges

Fragmented product, payments, and CRM data across tools and teams.
Limited visibility into onboarding drop-off and activation drivers.
Unclear marketing attribution across web, app, and partner channels.
Manual, delayed reporting for leadership, investors, and regulators.
Difficulty forecasting revenue and understanding true LTV/CAC.
Balancing compliance (GDPR/FCA) with experimentation speed.
Detecting fraud and chargebacks without adding friction.
Scaling analytics as markets, products, and countries expand
Data silos with product, sales & marketing all reporting different numbers.
Understanding the impact of marketing at the account level - you market to companies not individuals.

What are your most pressing growth questions?

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