Answer extracted from The Future of Utilities Podcast — listen to the full episode below.
Why is social media an unreliable source for understanding overall customer sentiment in utilities?
Social media platforms amplify only the loudest voices — the most satisfied and most dissatisfied customers speak up, while the bulk of reasonably content customers stay silent, creating a distorted picture of true sentiment. Utilities should replace social listening with brand tracking surveys conducted twice yearly and segment-based experiments to capture the real voice of the middle majority.
The problem runs deeper than simple selection bias. When utilities rely on Twitter complaints or Facebook praise, they mistake visibility for representativeness. A customer frustrated by a billing error will post; a customer who pays their bill on time and uses water responsibly will not. This creates a false narrative where the organization appears to satisfy nobody or everybody, depending on which thread you read.
As Arminak Antonian explains in The Future of Utilities Podcast, the antidote is systematic measurement through surveys and controlled testing. Brand tracking—conducted at regular intervals like twice yearly—reveals how interventions actually shift attitudes on key issues such as water consumption habits or environmental commitment. This removes guesswork and replaces anecdotal social media incidents with statistically meaningful data.
Segment-based experiments complement surveys by testing interventions on specific customer groups before rolling them out organization-wide. This approach grounds decision-making in evidence rather than in the reactive tail-chasing that social media triggers. The result is a utilities organization that knows what its customers truly think and what actually moves their behavior.
"Awareness raising alone is not really going to do the job because it assumes a rational model of the customer."
Arminak Antonian — Head of Behavioral Economics at Thames Water. Antonian comes from an academic background, having served as an economics professor at Cardiff Business School and previously as a professor of economics in China. He has conducted extensive research and interventions with the Armenian government and the UN across multiple Central Asian countries, working on behavioral challenges from health screening uptake to tax compliance and environmental consumption reduction.
The disconnect between social media sentiment and true customer behavior has real consequences. A utility that responds primarily to social complaints will chase impossible goals while ignoring the genuine levers of change. In the episode, Antonian shares how Thames Water tested 400,000 smart-metered households with different messaging approaches—some emphasizing environmental impact, others highlighting financial savings—to discover which truly motivated adoption of water-efficient practices. This data-driven discipline is the opposite of social media management.
Moving beyond social media requires acceptance of a harder truth: customer sentiment is not a feeling to be read off a screen, but a measurable phenomenon that emerges from systematic inquiry. Surveys, experiments, and behavioral testing reveal patterns invisible to social listening tools. They tell the utility what the middle 80 percent actually think and do, not just what the 10 percent of loudest voices proclaim.
See also
What does a large-scale behavioral experiment on water audit adoption reveal about customer motivations?
Thames Water tested 400,000 smart-metered households with different email approaches including environmental messaging, financial savings messaging, and other behavioral techniques to understand what truly motivates customers to adopt water-efficient practices.
What are the three categories of demand-side interventions that behavioral science can address in the water sector?
Interventions using technology such as smart meters and water-efficient appliances; interventions using audits whether online or offline to identify water consumption patterns; and behavioral interventions targeting customer attitudes and decision-making processes.
What role do smart meters and data analytics play in designing targeted customer interventions?
Smart meters and technological advancements allow utilities to understand customer behavior better and tailor interventions accordingly, enabling personalized approaches based on actual consumption data and segment-specific motivations.