Decisions

13 articles
Decision Architecture

Semantic Layer, Ontology, Context Layer: Why You Need All Three Before Agents Touch Your CDP or Data Cloud

Semantic layer, ontology, and context layer are not the same thing. They solve meaning, agreement, and memory, and the decisioning loop only closes when your stack has all three before agents act on your data.

Abhi Yadav 8 min read
Agentic GTM

What Is an Agentic Decision Platform? A Marketing/GTM Definition

Financial services built the agentic decision platform playbook for underwriting and fraud. Here is the marketing translation: a decision engine, policy gates, auditable traces, and the feedback loop that lets GTM decisioning improve over time.

Ash 6 min read
Causal Decisioning

Causal Inference for Customer Retention

Put the uncertainty in the right place: tighten effects, not forecasts.

Iqbal Kaur 3 min read
Agentic GTM

After the Score: Activation That Uses the Evidence

Most stacks build a good score, then activate it like it's 2015. How ABM plays, LinkedIn targeting, and outbound email get built from the score's own evidence.

Abhi Yadav 7 min read
Agentic GTM

Under the Hood: How a FIRE Score Gets Made

The mechanics of signal-based account scoring: how Fit, Intent, Recency, and Engagement become one FIRE Score, and how decision traces make the loop auditable.

Abhi Yadav 6 min read
Agentic GTM

Your ICP Is Not a Strategy. It's a Starting Line.

Account prioritization, not identification, is the real bottleneck in B2B growth. How the always-on FIRE Score turns a static ICP into a living intelligence loop.

Abhi Yadav 8 min read
Causal Decisioning

Predictive vs. Causal Decisioning

The Correlation Trap: why doubling down on high-LTV customers quietly destroys value.

Iqbal Kaur 3 min read
Causal Decisioning

From Correlation to Causation

How causal decision science compounds growth, and why the correlation era never could.

Iqbal Kaur 2 min read
Retail Analytics

Your AI Decisioning System Is Answering the Wrong Question

Causal not correlation will work for decisioning. predictive patterns dressed up as action levers, and acting on them as if they were causal is how marketing budgets get wasted at scale.

Abhi Yadav 5 min read
Ad Optimization

Martech Ate Marketing. Adtech Ate Advertising. AI Is Eating Both. What's Left Is the Decision Layer.

There's a pattern that repeats itself every decade in this industry. A new category of software or technology arrives promising to make marketers more powerful. Instead, it makes them more dependent. The tool becomes the job. The stack becomes the strategy. And somewhere along the way, the original

Abhi Yadav 14 min read