Customer trust has moved from a brand consideration into the marketing technology buying process. Enterprise buyers know that personalisation, AI and data activation can improve relevance, but the same capabilities can create reputational and regulatory risk when customers do not understand how their data is being used.
Trust affects adoption and value
A solution can be technically capable and still fail commercially if customers perceive the experience as intrusive, inconsistent or opaque. That means buyers are increasingly interested in consent, explainability, preference management, data minimisation and the controls available to marketing teams.
What stronger vendors demonstrate
- how customer permissions are captured and respected across channels;
- how sensitive or high-risk use cases are controlled;
- how marketing teams can understand why a customer received a particular experience;
- how data use can be adjusted without rebuilding the system;
- how trust and customer value are considered alongside conversion.
The vendor implication
Treat trust as part of performance. Buyers are more likely to support a platform that can improve relevance while giving the organisation clear control over data use and customer expectations.
Related intelligence: Ethical AI is becoming marketing’s next trust advantage and Personalisation without the creep factor.
Our buyer intelligence is informed by ongoing conversations with senior enterprise leaders through roundtables and leadership communities.