Marketing analysts who ignore the impact of AI on customer behavior are using obsolete data models that lead to misguided strategies and declining brand loyalty.
The news from Fast Company about growing anxiety over AI highlighted a critical oversight in marketing strategies today.
Many marketing measurement providers still cling to multiple concurrent models that assume past customer patterns in isolation are reliable guides for future decisions. Things are moving rapidly for that.
Researchers claim that ChatGPT-referred traffic is up +750% in the last 12 months. Ignoring how this is reshaping the buyer decision journey, will lead to strategies that clearly miss the mark.
Other analysis demonstrates that conversion rates from this new channel are +30% higher than other traffic.
A potential consumer electronics client explained overcoming this flaw to Provalytics yesterday afternoon. Access to near real-time engagement with AI has shifted their static models into dynamic insights.
The result has been revamped and tailored campaigns for retained buyers.
Their goal is to integrate this technology with the Agile Impact Modeling (AIM) platform for a complete view of both acquired and retained customer decision journeys based on all channels ... not another siloed analysis.
The assumption that traditional models understand modern customers is fundamentally flawed. Our potential client is proving it by reversing declining retention trends and rebuilding brand loyalty.
Static models from the past are missing out. We all need to be ready to rethink our approach to measurement in the age of AI.
Cheers
Todd