Merkle Customer Lifetime Value (CLTV) Predictor

Merkle Customer Lifetime Value (CLTV) Predictor

Comprehensive 6 to 8 weeks engagement bespoke to your needs.

Business Challenges

Having a strong acquisition plan is fundamental for business growth. But how do you know what your target market is and where to find them? Understanding who your best customers are now is key to understanding who your best customers of the future will be and how to acquire more of them.

• Where and how do we find more of the best customers? • Where can I focus my budget to acquire the right customers for long term return? • How do I identify my future high value customers so I can retain them at all costs?

Customer Acquisition & Conversion

Develop a hyper-personalised experience to optimise conversion: Leveraging AWS AI services (Personalise) to recommend products in real-time for upsell/cross sell to your customer.

Accelerate customer adoption journey by understanding the next best action: Leverage AWS's machine learning (SageMaker) to "continuously" learn about all the attributes that influence why a customer made a purchase, provide the next best offer based on the customer's preference, pricing, and offerings. e.g., Lookalike model, correlation analysis, dynamic pricing, sentiment analysis and campaign effectiveness.

Drive higher conversion rate by creating a single view of your customer (Customer 360) & enrich your customer insights: Leverage AWS's connected 360 (Glue) or identity graph (Neptune) with machine learning (SageMaker) to continuously learn about your customer through different channels; Leverage the new Cleanrooms solution or Amazon marketing Cloud (You get Amazon aggregated data if you utilize Amazon Ads) to enrich the insights of your current customers (1st party data)

Leverage Amazon Advertising to acquire new customer with unique insights from Amazon & Channel: Leverage AWS Ads + Amazon Marketing Cloud (AMC), and machine learning to enhance result and pinpoint advertising campaign embedded additional insights from Amazon (e.g., Amazon.com Garage data for insurance company) to drive targeted upselling & cross-selling campaigns.

Enhance & Predict the multi-channel impact (Attribution Modelling): Leverage AWS ML (SageMaker) to enhance & predict where customer should be effectively spending their ads money and drive the highest conversion through programmatic advertising (DSP).

Our Approach

We combine sales data with marketing and acquisition costs and then overlay geodemographic segments to give a 3 year forecast of your customers future value and to identify and describe future high value groups.

Deliverables

• Stakeholder workshop • Analytics data assessment • Customer value equation • Future value forecast • Geodemographic segment report • Recommendations and focus areas • Playback sessions

Summary

The CLTV Predictor enables you to Identify high value customers and pockets of future value. Realise your target markets for acquisition and size of opportunity and focus your budget on the areas of greatest potential to grow your customer base in an informed, efficient, and cost-effective way.

Success Outcomes

• Increased ROI on acquisition costs • Increased average customer spend • Inform your acquisition strategy and get more of the right customers