WEBINAR

Bridging Online & Offline:

The Next Generation of CPG Revenue Growth Management


🗓 January 7, 2026
🕒 10:00–11:00 ET / 15:00–16:00 GMT / 16:00–17:00 CET

Register Now

RGM, TPM and Pricing teams continue to invest heavily in trade promotions and pricing strategy — yet up to 30% of promotions fail to execute as planned. While online prices shift by the hour, in-store execution data remains fragmented, slow, or incomplete.

This joint webinar brings together Neurolabs (in-store execution intelligence), Nimble (online pricing & availability intelligence), and Databricks (the unified analytics layer powering it all) to show how CPGs can finally connect the dots across channels.

Learn how leading brands are bridging the gap between planned and actual execution using real-time shelf intelligence.

A New Standard for Pricing, Promotions & Execution

Today’s CPG teams need faster, more accurate insights than POS or manual audits can provide. This webinar shows how unified online + offline shelf data enables:
Accurate pricing strategy validation at hyper-local levels.
Real-time visibility into promotion compliance and execution quality.
Cross-channel availability insights, eliminating blind spots that drive phantom demand.
Better forecasting and trade ROI, backed by true shelf reality and scalable analytics workflows.

Meet the Speakers

Patric Fulop

Co-Founder & CTO
Neurolabs

Uri Knorovich

Co-Founder & CEO
Nimble

Bryan Smith

Head of Industry Solutions, Consumer Industries, Databricks

See What’s Possible With Unified Shelf Intelligence

1. Hyper-local Pricing Variance Detection

How brands compare in-store vs. online prices by region, retailer or neighbourhood and use this to validate pricing strategy.

2. Promotion Compliance & Effectiveness

Spot gaps between planned and actual execution, understand where promotions fail and quantify the impact on ROI.

3. Cross-Channel Availability Insights

Identify OOS, phantom inventory and availability inconsistencies across digital and physical shelves and their impact on demand forecasting.