Silverpush unveils real-time Trend Intelligence Platform

Silverpush has launched a Trend Intelligence Platform that analyses real-time cultural trends and turns them into contextual signals for advertising and media planning.

The company positions the product as a contextual intelligence solution for brands and agencies. Silverpush said it tracks trends that emerge and peak across social and digital platforms over days or hours. It said advertisers face pressure to respond quickly while maintaining relevance and brand safety.

Silverpush said the platform continuously analyses signals from social and web sources. Advertisers can filter trend data by category, market and audience. The company drew a distinction with social listening tools that focus on visibility. It said the new platform converts signals into brand-safe and audience-relevant contextual topics. It said teams can apply those topics directly to media plans.

Silverpush named the product the Silverpush Trend Intelligence Platform. It said it already has testing underway with clients around the world.

"By ingesting trending signals from open web and social sources, the Trend Intelligence Platform allows advertisers to identify the latest trends relevant to their target audiences and markets, and immediately generate the right contextual targeting tactics to reach them," said Mansi Matela, Chief Product Officer, Silverpush. "With testing already underway with clients around the world, we're excited to bring this first-to-market solution to truly help agencies and brands market to the moment."

How it works

The platform runs on the Silverpush Contextual Intelligence Engine. The system analyses signals from social and web channels on an ongoing basis - this approach keeps campaigns aligned with what audiences engage with in near real time.

The company said the platform provides filters by geography and by audience attributes such as age and gender. Silverpush said these filters identify which trends are emerging within a given market or audience segment across different social and video platforms. It also said the platform indicates which channels and platforms are most relevant for activation for a given trend.

Silverpush said the platform evaluates each trend in a market using several factors. It cited audience relevance, the strength of a trend's emergence, and brand safety considerations. It said the platform then converts those signals into contextual topics. It said those topics generate platform-native placements for activation within the same cultural moment.

The company gave examples to illustrate the intended use. It said celebrity news can resonate with a specific audience. It also said a new toy can begin trending within a particular age group. The platform detects these signals and converts them into ready-to-activate contextual signals. It said this approach aligns media placements with how trends unfold in real time.

Media workflows

Silverpush said the platform maps signals into media buying workflows across platforms such as YouTube, TikTok, and Meta. This reduces the need for market research or campaign planning around short-lived viral opportunities.

At the centre of the product sits what Silverpush calls the Silverpush Multi-Agentic AI Framework. It refreshes contextual signals on a continuous basis. It also said it optimises targeting based on real-time performance. Silverpush said this lets media plans evolve in line with cultural momentum, rather than staying fixed around earlier assumptions.

Availability plans

Silverpush said the Trend Intelligence Platform has limited availability across select markets. The company said it plans general availability for March 2026.

Silverpush also described early usage during testing. It said the product has seen adoption and retention among global and regional advertisers. It framed the tool as a response to what it called the trending economy. It also said the platform cuts the time required for campaign launches tied to breaking news and viral topics.

Silverpush said the advertising market is moving toward context-driven planning and signal-based buying across multiple channels. The company expects demand for tools that can translate trend signals into actionable advertising contexts to increase as those buying approaches become more common.