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CRM & ANALYTICS

Hyper-Personalise Banking Communication Instantly

Enrich your CRM profiles with accurate spending and location insights and build laser-targeted segments in minutes with enriched payment data.

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Ditch Demographics. Go Behaviour-Based.

Need to deliver hyper-segmented, always-on campaigns, yet the only data you can actually use is static demographics and MCC codes?

That’s why personalisation can fall flat and ROI underperforms.

We provide enriched transaction data so your CRM team can build highly granular, behaviour-led segments. Leverage these signals to trigger real-time journeys, prioritise high-value audiences, and run precise attribution and lift analysis.

Why use enriched transaction data for CRM segmentation?

Richer Customer Segmentation

Unlock granular spending insight and tailor your audiences. Build precise, behaviour-based segments that drive higher engagement and uncover hidden opportunities.

Hyper-Personalisation at Scale

Leverage behavioural signals to craft messaging that resonates with every customer. Deliver context-aware offers at volume without losing the personal touch.

Cost Cutting Efficiency

Stop manual data prep and upkeep. Access always up-to-date enriched transaction data so segments stay current, launches speed up, and team time (and spend) drops.

Ready for Instant Action

Stream enriched transaction signals in real time via REST API. Power triggers and next-best actions across your existing stack for faster, more personalised campaigns.

How to transform generic segmentation into hyper-personalised labeling?

Ultimate Transaction Understanding

Uncover what’s really behind every transaction—merchant identity, multi-level category tags, precise GPS coordinates, timing patterns and socio-demographic context—to gain true visibility into customer behaviour.

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Unlock hidden metadata for razor-sharp targeting.
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Eliminate guesswork by revealing actual spend drivers.
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Fuel deeper analytics with rich transaction context for advanced behavioural modelling.

360° Customer Insights

Transform enriched transactions into behaviour-driven segments and life-stage triggers—spotting routines, major events and spending motivators that fuel your most relevant campaigns.

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Identify high-value audiences at the moment they’re most receptive.
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Enhance journey mapping with precision-timed triggers.
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Leverage real-time signals to optimise campaigns on the fly.

Seamless API Integration

Tap into our data via a lightning-fast REST API with real-time streaming directly into your infrastructure within few weeks.

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REST API
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Open Full Documentation
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Bank-Grade Data Security

Through the Tapix API you only transfer terminal identifiers. All processing is GDPR-compliant, runs on secure AWS infrastructure, and meets the highest audit and privacy standards.

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ISO 27001 certified
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AWS infrastructure
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Full GDPR compliant
Blog

Be a step ahead

Product insights
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Why AI chatbots depend on high quality data: Garbage in, garbage out explained

Chatbots and digital assistants are one of the emerging trends in the digital banking industry. According to Juniper research, over 80% of banks are now using some form of chatbot in customer service. Lately, more and more banks are also starting to shift to more analytical usage, such as personal assistant, which reshapes the user experience, offering personalized financial advice and assistance at the touch of a button. But every good analysis needs a well structured and organised data first.
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Industry insights
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From Chatbots to Credit Scoring: How the AI Act Affects Banking

For the past several years, AI has captured the attention of many industries, including finance and banking, where it’s been helping institutions to automate many important services and solutions. In the meantime, the European Union has taken a significant step forward with the introduction of the EU AI Act.What exactly is the EU AI Act, and why does it matter? In this article, we'll introduce the basics to provide you with a comprehensive understanding before we explore its implications in more detail and check the AI readiness of the banking sector. According to Arizent survey, 56% of users would welcome the help ofAI in their financial recommendation services while 48% see it as a tool for evaluating credit or loan applications.
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Industry insights
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How are banks using AI in 2024

With the implementation of the EU AI Act providing a regulatory framework for ethical and responsible AI adoption, banks and financial institutions are starting to pay close attention. What exactly is AI used for in modern banking? Let's dive into different use cases and what it means for banks.
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Switch to Tapix today!

Explore how Tapix can help you get the most from transaction data, increase your app engagement and turn UX into your competitive advantage.

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mobile banking app before and after transaction data enrichment