Observed Signal · Nov 29, 2023 · Case Study · Source: CMSWire · Impact: 2/5 · Sentiment: Positive
Predictive Analytics in CX: Five Companies Share Results
Marketing teams increasingly use predictive analytics to improve customer experience and drive revenue. This CMSWire feature compiles results from five organizations. Daiwa Securities used SAS Analytics to build an AI recommendation system for sales reps, lifting customer purchase rates 2.7x and cutting departures 50%. Wellness brand Hydrant used Pecan AI for churn and win-back modeling, achieving 260% higher conversion on targeted win-back offers. IT automation firm Automox used 6sense for outbound account-based marketing, increasing sales 35% and closed-won deals 88%. Beauty brand Alleyoop used Black Crow AI to build first-party-data audiences for Facebook, lifting Facebook revenue 55% and ROAS 10%. Fundraising company DonorBureau used DataRobot, improving prediction accuracy 10% and cutting total cost of ownership 75%.
Provides concrete ROI evidence for predictive analytics in CX and marketing across multiple industries; relevant to MarTech/AI adoption but not a breaking industry event.
Track Daiwa Securities Group Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Daiwa Securities used SAS Analytics to create an AI-based recommendation system, achieving a 2.7x increase in customer purchase rate and a 50% reduction in customer departure rate.
- Hydrant used Pecan AI for churn and win-back predictive models, achieving a 260% higher conversion rate on targeted win-back offers and 310% higher revenue per win-back customer.
- Automox used 6sense for outbound account-based marketing, resulting in a 35% increase in sales and an 88% increase in closed won deals.
- Alleyoop used Black Crow AI to build predictive audiences from first-party data, increasing Facebook revenue by 55%, incremental sales by 50%, and ROAS by 10%.
- DonorBureau used DataRobot automated machine learning, improving prediction model accuracy by 10% and reducing total cost of ownership by 75%.
Connected Companies & Entities
5 Entities mapped“Tokyo-based Daiwa Securities was looking to strengthen its proposals by better understanding its customers, according to a case study....”
“Daiwa Securities worked with the Cary, North Carolina-based analytics software company SAS and its SAS Analytics to create a recommendation ...”
“Hydrant worked with the Ramat Gan, Israel-based predictive analytics company Pecan AI to integrate Pecan’s platform across Hydrant’s marketi...”
“Automox worked with the San Francisco-based AI customer prediction platform 6sense as a key part of its outbound strategy....”
“DonorBureau worked with the Boston-based AI platform DataRobot on predictive analytics....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
LinkedIn says don't treat leads as finish in B2B
At LinkedIn's B2Believe event in its new Empire State Building space, executives and practitioners called for a shift from lead-centric B2B marketing to a 'full journey' approach that links signals, targeting, creative, full journey, and measurement. Jae Oh, senior director of product management, revealed that fewer than 10% of upper-funnel audiences make it into bottom-funnel campaigns, urging marketers to connect awareness with demand capture. Research from LinkedIn's B2B Institute with eMarketer showed 77% of marketers say they no longer target individuals, yet only 31% have a playbook for activating audiences down the funnel. Practitioners from Canva, SAP, Mastercard, and others shared examples of aligning marketing and sales on common signals. LinkedIn also outlined a product roadmap focused on cost-per-opportunity targeting, multi-format campaigns, agentic workflows, and incrementality forecasting.
Investor Presentation Released: SAS Institute Inc.
AI parsed presentation narrative: Celebrating 50 years of innovation and profitability, SAS positions itself as the premier trustworthy partner in data and AI. Through its cloud-native SAS Viya platform and customized industry solutions, the company empowers organizations to move beyond AI hype and make confident, responsible, and transparent decisions. Strategic pillars: Responsible AI Innovation, Partner-Driven Market Scaling.
AI Turns Raw Data into Customer Prediction
The article discusses the shift from descriptive to predictive analytics in marketing, enabled by AI. It explains how predictive models can forecast customer behaviors like email engagement, churn, and lead conversion, allowing marketers to act before campaigns launch. The piece highlights Supermetrics' perspective on predictive analytics as a distinct use case and cites EY's emphasis on embedding analytics into human decision-making processes. It argues that AI enhances, rather than replaces, human marketers, and encourages using AI tools to uncover patterns invisible to the human eye. The article serves as a thought-leadership guide rather than a specific product or company announcement.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.
