Data doesn’t lie. But sometimes, seemingly similar marketing metrics conflict with each other. You might recognize this if you’ve sat around a table with different organizational functions providing contradictory and confusing reports on what appears to be the same thing. This is a classic situation of teams offering siloed metrics to support diverging marketing strategies.
If this sounds familiar, it could be that your teams are attempting to make comprehensive spend decisions based on siloed metrics. Siloed metrics are commonly derived from analysis of marketing-only data within a specific subset of the business, for example, when click-throughs are evaluated within a single digital campaign and linked to a web conversion. The decisions look good on paper, but using this data is highly unlikely to drive the best results for your company because they leave too much out of the analysis.
Siloed metrics are an oversimplification of what drives results based on partial data. Yet channel-specific metrics like return on ad spend (ROAS), used by platforms such as Google Analytics and Adobe Analytics, and by some brands and agencies directly, are still used to make cross-marketing investment decisions, despite their blind spots, biases, and data gaps.