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Capturing Omni-Channel Preferences: Mapping Online vs. Offline Willingness to Pay

As e-commerce adoption continues to accelerate across almost every consumer category, brands are discovering that the digital shopper is fundamentally different from the brick-and-mortar browser. When consumers move online, their purchasing context shifts entirely, bringing distinct preferences, unique needs, and entirely different levels of price sensitivity compared to when they stand in front of a physical retail shelf. To build a cohesive, profitable omni-channel strategy, commercial teams cannot afford to analyze these environments in separate silos. This webinar introduces a unified methodology to capture and compare both online and offline purchasing behaviour within a single, streamlined choice-based model.

The session provides a detailed look at how to leverage rapid conjoint solutions to decode cross-channel customer dynamics. Instead of managing separate, costly studies, you will see how a single survey design can isolate exactly how much customer preferences differ between online and offline environments, and the underlying behavioural drivers behind those shifts. The discussion provides hard data on channel-specific purchase probabilities, helping product and pricing managers identify whether specific items in their portfolio are naturally predisposed to digital adoption or if they belong strictly on physical shelves.

Crucially, the webinar addresses the critical financial variables that dictate omni-channel margins: willingness-to-pay and promotional effectiveness. You will discover whether customers are genuinely willing to pay a premium online or if digital transparency triggers higher price sensitivity. Furthermore, the analysis explores how the channel itself influences discount mechanics, showing you whether price promotions drive a higher volume lift online versus offline. Watch the full session below to gain a precise, unified view of your market and learn how to optimize your pricing architecture for every touchpoint.

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