MarTech Conference to Address Customer Data Trust Issues

The MarTech Conference will host an online session titled “The data trust crisis: Why your customer data is getting worse” on Sept. 2, 2026. The free event focuses on challenges marketing organizations face with customer data reliability.

Data Volume and Quality Gap

Marketing leaders manage more customer information than before, yet access to millions of records does not guarantee knowledge of the customer. Privacy changes restrict data collection and unification. Buyer interactions occur across dozens of disconnected platforms. AI features add generated and inferred signals to data environments.

Factors Affecting Data Reliability

Marketing stacks receive signals from every touchpoint on buyer intent and behavior. Regulatory updates and browser policy shifts restrict data capture. Fragmented platforms produce contradictory customer records. AI-inferred inputs require extra validation before use in targeting, according to MarTech.

Effects on Marketing Operations

Poor data quality affects personalization that relies on assumptions about buyer behavior. When inputs are incomplete or inaccurate, assumptions fail. Data decay impacts audience segmentation, journey orchestration, attribution, and spend optimization. Automated systems then execute decisions with compromised inputs. As AI engines handle decision-making workflows, data hygiene becomes essential.

Approaches to Data Uncertainty

Achieving flawless customer data is not presented as realistic. Frameworks to evaluate signal quality and map coverage gaps allow teams to determine when inputs support execution. Confidence-scored approaches adapt to varying completeness levels instead of treating all data points as equally trustworthy, according to MarTech. The session provides governance playbooks for auditing datasets. View the agenda and register at the MarTech Conference site.