Jan 8: AdSocial.ai, a visual personalisation layer for consumer brands, has completed its product validation phase after extensive experimentation across over 40 brands and enterprises, demonstrating measurable improvements in conversion performance.
As brands increasingly invest in customer data and analytics, a growing gap has emerged between insight generation and real-world execution. Despite having access to rich behavioural and demographic data, many consumer-facing brands continue to rely on generic visuals across digital touchpoints, leading to higher bounce rates, lower click-throughs and revenue leakage across the funnel.
Insights from AdSocial.ai’s experimentation across food and beverage, lifestyle and marketplace brands indicate that visual relevance plays a decisive role in performance outcomes. Brands adopting visual personalisation at scale have recorded conversion funnel improvements of 40–60 percent, translating into revenue growth of up to 1.5–2X in several cases.
Personalisation often falls short not due to a lack of ambition, but because of execution complexity at scale. As customer segments expand, marketing and creative teams struggle to translate data into truly personalised visual assets and deploy them seamlessly across multiple channels. At the same time, most personalisation efforts remain campaign-led rather than customer-led, constrained by siloed systems and limited cross-channel coordination. Together, these challenges make large-scale, sustainable personalisation difficult to achieve.
Mr. Man Mohit, CEO, AdSocial.ai highlighted
“Most brands today know who their customers are, but struggle with how to reflect those insights visually at scale. What we’re seeing across our partner brands is that when customer signals are directly translated into visual experiences without adding operational burden performance outcomes improve meaningfully. That shift is what has driven our product”
AdSocial.ai enables this through multimodal AI agents that derive insights from customer signals and execute personalization by creating and deploying tailored assets across all digital touchpoints. These agents continuously optimize the customer journey, deciding what to show, when, where, and how, using real-time data and learning loops. As a result, brands move beyond static campaigns to deliver adaptive experiences that increase revenue without exponentially increasing manual effort.
Industry analysts view this traction as reflective of a broader shift within the marketing ecosystem. Visual personalisation is emerging as a distinct category within the global personalisation landscape, which AdSocial.ai estimates to be a $26 billion market opportunity. As digital fatigue grows and consumers demand greater relevance, brands are increasingly prioritising experience quality over campaign volume.
Looking ahead, AdSocial.ai expects adoption of visual personalisation to accelerate across consumer-facing sectors. As competition for consumer attention intensifies, AdSocial.ai’s findings suggest that the next phase of personalisation will be defined not by access to data, but by a brand’s ability to convert that data into meaningful visual journeys consistently and at scale.