Capillary Technologies vs Optimove

What Is aiRA by Capillary Technologies? Agentic AI for Loyalty Marketing

From customer analysis and audience segmentation to rewards, messaging and omnichannel execution, aiRA brings the enterprise campaign workflow into one governed conversation.

Real-Time Marketing Decisions Finally Arrive

The article argues that real-time marketing has finally become achievable, but the core challenge has shifted from speed to decisioning. While platforms can react in milliseconds, the hard part is deciding, in the moment, what each customer should or shouldn't receive. The author highlights Gartner's 2026 research, which weights decisioning at 20% and customer data at 18%, versus only 8% for message delivery. Six key capabilities are identified: coordinated decisions, live behavior combined with full history, suppression across all channels, actionable predictions, feedback loops on content, and AI tools operating under the same decisioning rules. The article emphasizes that AI increases the need for strong decisioning to avoid message overload. It concludes that brands will succeed by knowing which messages not to send, not by generating more.

• Gartner's 2026 multichannel marketing hub research weights decisioning at 20% and customer data at 18%, versus 8% for message delivery.
• The article identifies six capabilities for genuine real-time decisioning: coordinated decisions, live behavior with full history, universal suppression, actionable predictions, content feedback loops, and AI under same rules.
• Optimove ranked first by Gartner Magic Quadrant for real-time personalization and decisioning 2026.

AI Complements — Doesn’t Replace — CRM Platforms

The article argues that AI assistants (e.g., ChatGPT, Claude) that connect to marketing systems do not make CRM/marketing platforms obsolete. It frames AI as a visitor that accesses the platform through a connection the author calls the Model Context Protocol (MCP). The platform remains the source of value because it stores customer data, decisioning logic, and institutional marketing judgment accumulated over years. While some teams may attempt in-house solutions, the author cautions that reproducing platform discipline and accurate audience-building is difficult and measured in revenue risk. The piece gives three current use cases — campaign drafting, always-on QA, and end-to-end retention — where assistants orchestrate on top of platform capabilities. The article is authored by Pini Yakuel, founder and CEO of Optimove.

• The author names the connection between AI assistants and marketing platforms the Model Context Protocol (MCP).
• AI assistants (example names used: ChatGPT and Claude) can plug into marketing systems and perform reasoning but rely on platform-held data and decisioning.
• CRM/marketing platforms contain customer data, decisioning, and accumulated marketing knowledge that AI cannot invent.