Retention Loop Insights
Expert perspectives on loyalty optimization, AI-driven marketing, and the evolution of customer technology.
A Pipeline Isn't a Loop: Why Only 'Accumulate' Makes Retention Compound
Most martech runs a one-way pipeline and calls it a loop. The difference is one node—write-back—and it's the difference between a stack you can copy and an advantage you can't.
SaaS for AI: When the Primary User of Your Software Is an Agent, Not a Person
"SaaS for AI" is a precise architectural claim, not a slogan. When an agent is the primary consumer, the product becomes governance: who may act, on whose behalf, and at what cost.
One Vocabulary, Two Audiences: Why Your AI and Your Dashboards Must Share a Semantic Layer
Tools are the verbs an agent uses. The semantic layer is the shared vocabulary that keeps those verbs honest. Build it once, serve people and agents from it, and a number means the same thing no matter who asks.
MCP Is Not a Connector — It's Your Governance Surface for the Agent Era
Most coverage frames the Model Context Protocol as plumbing. The more consequential enterprise reframe: MCP is the single auditable place where identity, authorization, logging and cost control for AI tool-use get decided.
Run Your Customer Platform from Claude Code — and Slack
The unlock isn't a faster dashboard. It's a different operating model: a governed agent inside the AI tools your team already uses — answering and acting in plain language, without exporting data or giving up control.
One Identity, a Thousand Conversations: Brand Voice in the Age of Hyper-Personalization
Personalization without brand unity is off-brand noise. A fixed identity without personalization is an irrelevant broadcast. The frontier is holding both at once.
What North American Martech Inherited from the Email Era — and Why the Agent Era Forces a Fusion
Two retail-technology traditions grew up solving different problems on opposite sides of the world. Each is genuinely excellent. The autonomous agent is the first thing that needs both at once.
The Last Mile Martech Forgot: Why Platforms Stop at the Dashboard
Your stack stops at the dashboard by design, not oversight. It assumes a person reads the insight and takes the action. The agent era is the moment that assumption stops being true.
Autonomy You Can Govern: The Safety Chain Behind Letting Agents Act on Customer Data
The CISO question isn't whether AI should touch customer data. It's what chain of controls makes autonomous action auditable and bounded. Here's that chain, layer by layer, and the residual risk you still own.
The North American "AI-Ready" Checklist: SMS/10DLC, Wallet, and Multi-State Privacy
An autonomous agent is only as good as the channels and compliance underneath it. Before you buy the LLM, audit the action surface. Here is the sober checklist to take into a vendor evaluation.
The Loyalty Cost Crisis: Why Your Promotions Are Eating Your Margins
The average retailer spends 15-20% of revenue on promotions. Most goes to customers who would have bought anyway.
AI Agents in Retail: From Batch Campaigns to Autonomous Engagement
How AI agents replace calendar-driven campaigns with intent-based autonomous engagement at scale.
Identity Resolution at Scale: Lessons from 200M+ Member Programs
Real-time identity resolution across 15+ data sources. Lessons from managing profiles at massive scale.
The Precision Promotions Playbook: From 20% to 7% of Revenue
Step-by-step guide to replacing blanket discounts with AI-powered precision targeting.
The Azure-Native Advantage: Why Infrastructure Matters for the Loop
MACC-eligible billing, Azure OpenAI, and enterprise security. Cloud-native architecture delivers business benefits.