Payments intelligence / built for action
We turn complex payment, portfolio and customer data into decisions—revealing where revenue is leaking, opportunity is hiding and action will make the greatest difference.
Analytics topics: Authorisations, Hidden SMEs, Portfolio performance, Customer behaviour, Real-time alerts, Market research, Predictive decisioning.
01Standard analytics
Use a focused diagnostic, combine modules or create a continuous intelligence programme around your portfolio and priorities.
A complete view of performance, utilisation, behaviour and economics—translated into quantified opportunities and actions.
Find false declines, recoverable volume and rule, routing or processor issues without compromising risk.
Recover lost revenue ↗Identify likely SMEs from behavioural signals and build targeted business-banking journeys.
Find untapped SMEs ↗Understand engagement, lifecycle, product use, spend patterns and the next best action by segment.
Make engagement relevant ↗Expose product, segment and channel economics, revenue leakage and pricing opportunities.
Quantify the value ↗Forecast behaviour, identify risk and prioritise the interventions most likely to work.
Move before the outcome ↗Balance approval, fraud, authentication and customer experience rather than optimising one in isolation.
Grow with control ↗Independent analysis designed around the decision, problem or opportunity your team needs to resolve.
Build a custom analysis ↗
02Authorisation performance
We connect reason codes with merchant, channel, geography, authentication, risk rules, network responses, retries and customer context. The result is a risk-balanced view of what can genuinely be recovered.
03Live intelligence
Move beyond retrospective packs. PayTech Analytics can provide immediate reporting, continuous monitoring and decision-ready alerts—configured around the measures that matter to your business.
04AI in practice
We apply AI where it improves speed, precision and foresight—not as a black box. Models surface patterns and likely outcomes; PayTech specialists add payments context, test the evidence and turn it into commercially sound action.
Identify anomalies, hidden segments, behavioural shifts and revenue leakage across high-volume transaction data.
Pattern discoveryEstimate churn, propensity, fraud-adjusted approval opportunity and likely portfolio movement before it appears in standard reporting.
Early warningRank opportunities and interventions by likely impact, confidence and commercial value so teams know where to focus first.
Decision supportTrack results, compare predictions with actual performance and refine the models as behaviour and markets change.
Continuous intelligence05Market intelligence
Transaction data shows behaviour. Research explains the motivations, needs and barriers behind it. We combine both to give clients a fuller commercial picture.
Needs, payment preferences, unmet demand, switching, satisfaction and willingness to adopt.
Acceptance, acquiring, payment friction, economics, technology and competitive dynamics.
Concept validation, pricing, features, messaging and purchase or adoption intent.
Market scans, proposition benchmarking, mystery shopping and strategic opportunity mapping.
06The analytics engine
We do not stop at findings. The PayTech engine connects the evidence, isolates the cause, proves the value and keeps watching what happens next.
Unify the relevant transaction, customer, product and market evidence.
OutputConnected evidence baseSeparate symptoms from the patterns, friction and root causes that matter.
OutputRoot-cause mapSize the opportunity, model the economics and focus attention where value is highest.
OutputPrioritised value caseTranslate insight into interventions, ownership and decisions that can be implemented.
OutputAction programmeTrack performance continuously, detect change early and refine the response.
OutputLiving intelligence