Know Your Customers Better Than They Know Themselves
You have customer data. We have AI models that predict who will buy, when they will churn, and how much they will spend. Turn behavioral data into strategic intelligence that drives retention, expansion, and acquisition.
Your Customer Data Is Worthless Without Intelligence
Most companies collect mountains of customer data but extract minimal value. CRM systems full of records. Analytics platforms full of metrics. But critical business questions go unanswered because data collection is not intelligence generation.
Of collected customer data is never analyzed or acted upon
Average annual revenue lost to preventable customer churn
Cost to acquire new customers vs retaining existing ones
Customer Analytics We Deliver
Lifetime Value Prediction
Churn Prediction & Prevention
Purchase Propensity Scoring
Behavioral Segmentation
B2C Fintech Startup
A B2C fintech startup needed to acquire customers fast to demonstrate product-market fit. After engaging 5 different digital marketing agencies, all of whom promised a lot but failed to deliver, the management team was skeptical that any agency could produce results.
TMG took a practical, transparent approach, spending hours with the team to explain what would be done, why specific strategies were proposed, and what to expect. Rather than upselling unnecessary services, TMG advised what the team could handle internally to save costs and build core competencies, while focusing their own efforts where they could deliver the most impact.
Analytics Implementation Process
From data audit through predictive intelligence activation
Data Assessment
We audit your customer data quality, completeness, and accessibility. Identify gaps that prevent analysis and establish data integration requirements for comprehensive intelligence.
Outcomes
- ✓Customer data audit with quality assessment
- ✓Analytics requirements and use case definition
- ✓Data integration and pipeline design
- ✓Quick win identification for early value delivery
Data Unification
Connect all customer data sources including CRM, product analytics, support systems, and transaction records. Build unified customer profiles that enable comprehensive behavioral analysis.
Outcomes
- ✓All customer data sources integrated
- ✓Unified customer profiles created
- ✓Data quality processes implemented
- ✓Historical data enrichment completed
Predictive Models
Develop custom AI models for your specific use cases. Train algorithms on historical data to predict churn, lifetime value, purchase propensity, and segment behaviors.
Outcomes
- ✓Custom churn models trained on your specific usage patterns and signals
- ✓Lifetime value forecasting by segment
- ✓Purchase propensity scoring for all prospects
- ✓Behavioral segmentation taxonomy
Intelligence Deployment
Deploy predictive intelligence into your marketing operations. Automate actions based on predictions, build dashboards for monitoring, and train teams on leveraging insights.
Outcomes
- ✓Automated workflows triggered by predictions
- ✓Executive dashboards with predictive KPIs
- ✓Team training on analytics platform
- ✓Continuous model improvement processes
Descriptive vs Predictive Analytics
The difference between knowing what happened and knowing what will happen
- ✕Reports show what happened last month
- ✕Segment customers by demographics
- ✕React to churn after customers leave
- ✕Treat all leads equally in sales process
- ✕Measure marketing by vanity metrics
- ✕Optimization based on trailing indicators
- ✓Models predict what will happen next quarter
- ✓Segment customers by behavior and value
- ✓Prevent churn before customers decide to leave
- ✓Prioritize leads by conversion probability
- ✓Measure marketing by predicted LTV and ROI
- ✓Optimization driven by forward-looking intelligence
"I have had the pleasure of working with TMG for over 14 years, relying on their expertise for a wide range of marketing and technology needs. They have consistently provided exceptional service with a hands-on approach."
Customer Analytics Questions
What business leaders ask about predictive customer intelligence
What customer data do you need for predictive models?
+How accurate are your predictions?
+How long before models are operational?
+Can predictions integrate with our existing systems?
+What happens when predictions are wrong?
+How do you handle customer privacy?
+Turn Customer Data Into Competitive Advantage
Schedule an analytics consultation to discover how predictive intelligence can transform your customer operations.