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Predictive analytics and decisioning 

Forecast, personalise and grow with confidence 

When growth and customer value are at stake, predictive insights are the edge you need. 

Our predictive data analytics solutions reveal exactly what your customers want, so you can deliver personalised experiences, anticipate trends and take actions that drive results.  

With a clear view of what’s ahead, you’ll be ready to turn every tough challenge into a new opportunity. 

Predictive analytics and decisioning - A young group of people in a shopping centre looking at a shop window

Uncertain about customer retention? 

Without predictive insights, identifying which customers are at risk of churning – and why – can be tricky, making it hard to step in and retain them. 

Challenges in growing customer value?  

Deciding which product to recommend next or when to engage is challenging without a clear view of each customer’s preferences and buying patterns. 

Missing the mark with acquisition?  

Reaching the right audience with a targeted message is crucial, but without predictive tools, marketing efforts often fall short of driving real connection and conversion. 

Turning insight into action 

Predictive analytics and decisioning for customer-winning results 

Make decisions you can trust 

Our predictive models reveal insights based on real data, so you’re equipped to make informed choices that support your goals. 

Grow revenue with targeted precision 

Spot high-value opportunities and anticipate customer needs, so you can make data-driven moves that increase sales. 

Strengthen customer satisfaction

Know your customers’ preferences and behaviours, so you can personalise each and every interaction, amplifying retention through precise engagement. 

Find cross-sell and upsell opportunities 

Our data analytics uncover patterns in customer behaviour that reveal the perfect moments to suggest add-ons – driving up transaction value and boosting lifetime loyalty. 

Stay ahead of market changes 

Keep pace with trends. Predictive insights allow you to adapt quickly, optimise resources and align your strategy with evolving market demands. 

Maximise marketing impact 

Refine targeting with predictive analytics to engage the right audience at the right time – for better response rates, campaign success and all-important ROI. 

Testimonial

“Now, for the first time, we have data that [the team] can see and help their decision-making.” 

Jonathan Wharton

Portfolio Analytics Manager, Roche

Built for bold decisions 

Why market leaders count on our predictive analytics

Decisions powered by real data 

Our predictive insights fuel confident, informed decision-making, so you can plan smartly and adapt to change with ease. 

Flexible and scalable solutions 

Designed for operational efficiency, our models are adaptable, offering flexible solutions that scale with your business needs. 

Grow revenue and build loyalty 

Use data insights to personalise customer experiences, nurture loyalty and unlock lifetime value through more relevant interactions. 

Awards & accreditations

Speak to one of our predictive data analytics experts

We’re tried and trusted in this industry and have been involved in predictive data analytics services for over 30 years. At CACI, we want to support you in transforming your business.  

If you’re looking for a demo, want to book a consultation, or both – we’re ready to help you cut the complexity out of data. 

FAQs

Answers to common questions about predictive analytics and decisioning.

The benefits include making informed decisions, growing revenue with targeted precision, strengthening customer satisfaction, finding cross-sell and upsell opportunities, staying ahead of market changes, and maximising marketing impact. Our predictive models equip you to make decisions you can trust and drive impactful results.

Predictive data analytics enhances customer value by identifying the best times to engage and the most relevant products to recommend. This targeted approach boosts sales, strengthens customer relationships, and increases lifetime value.

When implementing predictive data analytics, ensure data quality and integration from various sources, choose the right tools and technologies, and have a skilled team to build and refine models. Align initiatives with business goals, protect data privacy, and ensure scalability. Regularly update models to stay relevant and drive impactful results.