AI-Driven Customer Segmentation

http://twelve2marketing.com/web/image/product.template/24/image_1920?unique=db8ef47

    40,000.00 40,000.00 40000.0 ZAR

    40,000.00

    This combination does not exist.

    Add to Cart

    AI-Driven Customer Segmentation Includes:
    Precise Customer Segments based on real-time data, including behaviour, preference and purchase history.
    AI-Driven personalisation frameworks for Marketing Campaigns, Product recommendations, and Communications.
    Ethical guidelines and transparency protocols to ensure trust and compliance.


    Terms and Conditions
    All Products and Services are Billed as agreed by the schedule or SSOW, and invoiced as COD 

    AI-Driven Customer Segmentation

    The ultimate way for Brands to increase conversion and gain marketshare.

    | Product

    AI-Driven Customer Segmentation , designed to empower organizations across industries such as telecom, banking, retail, and media with data-driven insights to understand and engage customers effectively. Leveraging advanced analytics, artificial intelligence (AI), and proven methodologies.

    This service enables the organisation to segment their customers into statistically relevant microsegments, deliver tailored experiences, and optimize marketing strategies. The result is enhanced customer retention, revenue growth, and operational efficiency through personalised, actionable recommendations.

    Input Data
    • Transactional Data: Purchase history, recency, frequency, monetary value RFM), average order val

    • Demographic Data: Age, gender, and other demographic profiles.

    • Behavioral Data: Online behaviour, product usage, and social media interactions.

    • Marketing Interaction Data: Engagement metrics

    • Third-Party Data: Market trends, open data

    Outputs

    • Statistically relevant customer segments based on RFM, behavioral, and demographic variables.

    • Predictive models for churn, cross-sell opportunities, and customer sentiment.

    • Personalised, actionable recommendations for marketing campaigns, product offerings, pricing strategies, and communication channels.

    • Visual dashboards, segment profiles, radar charts, bubble charts, 2x2 matrices, bar charts, and heatmaps for managerial use.

    Personalised Actionable Recommendations
    • Targeted marketing campaigns (e.g. special promotions for frequent, high-spending customers, loyalty programs for high-value segments, reactivation campaigns for inactive customers, welcome offers for new customers).

    • Tailored product recommendations and bundles based on segment-specific purchase patterns and preferences

    • Optimised, channel-specific communication strategies (e.g., email content, offers based on geolocation and behavioral triggers)

    • Dynamic content personalisation for enhanced customer experience

    This service is charged as o once-off Project.

    | Purpose

    Our AI-Driven Customer Segmentation and Personalisation Strategies consultation service equips the organisation to understand and engage customers with unmatched precision. By leveraging advanced analytics, AI, and actionable insights, we drive significant improvements in customer retention, conversion rates, revenue, marketing ROI, and customer satisfaction. We look forward to partnering with you to unlock the full potential of your customer data and achieve transformative business outcomes.


    | When it works

    Brands are able to better idntifye their target audiences.  

    An optimised segmentation strategy yields a 20-30% higher ROI in Campaign Efficiency for Brands taking the Lead.


    | Process

    Our methodology combines AI and analytical approaches with strategic and managerial relevance, and an agile, iterative approach. The process includes:


     

                          Phase One

                          Identification (Weeks 1-2): ConductmeetingswithCEOsandstakeholders to define objectives (e.g., reduce churn, increase NPS) and perform data inventory.

                          Phase Two

                          • Data Analysis (Weeks 3-4) Explore Data and build visualisations. Validate Data quality, develop relevant models

                          • Strategy Development (Weeks 5-6) Develop Segmentation , Predictive Models and Campaign Strategies

                          Phase Three

                          • Finalisation (Weeks 7-8) Finalise Reports, Present and Submit

                          • Communication - Present results using compelling visualisations to ensure stakeholder buy-in, avoiding technical jargon