Most platforms treat all non-converting users the same, pushing them into a single retargeting pool and bidding aggressively without understanding intent. This results in wasted spend, low-quality leads, and inflated cost per acquisition.
The Intelligent Propensity Engine separates signal from noise. By analyzing real behavioral indicators such as form interaction, pricing engagement, and session depth, it predicts the likelihood of a lead submission for every drop-off.
We build this engine to help teams stop guessing and start prioritizing. High-propensity users receive focused follow-up, medium-propensity users are nurtured, and low-propensity traffic is suppressed. The outcome is lower cost per lead, higher lead quality, and ad spend aligned to probability, not volume.
Most retargeting budgets are burned on users who were never close to converting. PropensityQ isolates high-propensity drop-offs and suppresses low-intent traffic, ensuring spend is concentrated where conversion likelihood actually exists.
Scroll depth, form interaction, hesitation, and pricing views are captured but rarely acted upon. PropensityQ converts these raw behavioral signals into measurable intent, making them usable for real targeting decisions.
Fixed audiences decay fast and force teams to overbid to maintain volume. PropensityQ continuously refreshes cohorts based on live behavior, allowing scale without sacrificing efficiency or lead quality.
Traditional analytics stop at abandonment. PropensityQ goes deeper by understanding how close a user was to completing the form and why they exited, turning form drop-offs into ranked opportunities instead of dead ends.
PropensityQ operates as a continuous intelligence flow that connects on-site behavior with downstream media activation. Every user session is evaluated for lead intent, scored in real time, and translated into cohorts that marketing teams can immediately act on.
Every user session is evaluated for its likelihood to result in a lead submission. PropensityQ assigns a probability score based on observed behavior, allowing teams to act on predicted outcomes rather than past conversions alone.
Users are grouped into clear intent-based cohorts instead of broad retargeting pools. This segmentation enables differentiated bidding, messaging, and follow-up strategies aligned to how close each user is to converting.
PropensityQ pushes dynamic cohorts directly to ad platforms such as Google, Meta, and LinkedIn. Audiences update continuously, ensuring campaigns always target users based on their most recent intent signals.
The engine captures fine-grained interactions, including form focus, hesitation, scroll behavior, and revisit patterns. These micro-events provide deeper insight into intent than page views or sessions alone.
Bidding decisions are informed by propensity rather than static rules. High-intent users can be prioritized with aggressive bids, while medium-intent users are nurtured and low-intent users are deprioritized.
PropensityQ identifies sessions with minimal or misleading intent and excludes them from performance campaigns. This protects budgets from being spent on traffic unlikely to produce genuine leads.
User behavior is mapped to funnel stages such as exploration, evaluation, and commitment. This allows teams to align messaging and spend with where users truly are in their decision journey.
Drop-offs are analyzed for recurring friction points and behavioral patterns. This helps teams understand why users exit and which signals consistently precede successful conversions.
Growth teams gain visibility into how spend aligns with intent. PropensityQ surfaces insights on where budgets are being wasted, where high-propensity users are underfunded, and how targeting decisions impact cost per lead.
The Propensity Loop continuously converts raw behavioral signals into probability-driven lead intent, updates scores in near real time, and feeds outcomes back into the system so targeting improves with every cycle.

Being AI-led agency focused on clients’ growth, we deliver next-generation solutions, leveraging artificial intelligence to in areas like commerce, content and marketing to increase their revenue, global reach and ROI. We serve retailers, manufacturers, distributors, enterprises and conglomerates globally.



