Power Smart Bidding Campaigns with AI-Driven Synthetic Conversions

FunnelFlex sends up to 30x more Synthetic Conversions by predicting which visitors are likely to convert, helping ad platforms optimize even when real conversions are too low.

Schedule a demo

The Problem

How it works

AI Learns from Existing Conversions

Before AI can improve ad performance, it needs initial conversion data. The system trains on 50 actual conversions, analyzing patterns that indicate high-value users.

  • Tracks multiple touchpoints across the user journey, not just the last-click event.
  • Identifies behavioral signals like purchase intent, session depth, and engagement to predict conversion probability.
  • Builds an AI-powered conversion likelihood model, helping ad platforms optimize delivery.
AI Sends Predictive Conversion Signals to Ad Platforms

Once AI understands conversion patterns, it starts feeding virtual conversion events to ad platforms like Google, Meta, TikTok, Microsoft Ads, and Snapchat to enhance Smart Bidding campaign performance.

  • AI predicts conversion probability in real time and assigns a value to each visitor.
  • Sends virtual conversions, allowing ad platforms to optimize targeting before actual conversions happen.
  • Helps auto-bidding systems allocate budget more effectively, reducing wasted spend on low-intent users.
Multi-Touch Attribution for Smarter Budget Allocation

Traditional attribution models overvalue last-click interactions, leading to inefficient budget distribution. AI fixes this by analyzing and attributing value across the full customer journey.

  • Identifies which interactions contributed to a conversion, even if they happened earlier in the funnel.
  • Assigns weighted value to search ads, retargeting, social ads, email touchpoints, and more.
  • Ensures that high-impact touchpoints receive more budget, preventing overspending on ineffective channels.
Continuous Learning & Auto-Optimization

AI doesn’t just analyze past data—it continuously learns, adapts, and optimizes campaigns in real time to improve ROAS.

  • Adjusts predictions based on market trends, seasonal changes, and shifts in user behavior.
  • Detects and eliminates bot traffic or low-quality leads, improving ad spend efficiency.
  • Maximizes ROAS over time by ensuring budget is allocated to the most valuable users and interactions.

Features

Conversion Goals

Define your own conversion goals, such as form submissions, purchases, or sign-ups. You can use existing goals from GA4 or dataLayer or create custom smart goals to track key interactions like form submissions and link clicks.

FunnelFlex also supports Compound Goals, where a conversion is counted only when all specified goals are met.

Conversions can be tracked through JS API or REST API.
jj

Modeled Conversions

First, you create a modeled conversion and link it to a specific goal, such as a purchase, form submission, or sign-up.

Next, we build an ML model that predicts the probability of a user completing this target action based on behavioral patterns and historical data.

Ads Platform Integration

Once the ML model is built, it predicts in real-time the likelihood of a visitor completing the target action. It then generates a synthetic conversion and sends it to ad platforms. Typically, we generate 10-25x more synthetic conversions than real ones, allowing for more effective training and optimization of your Smart Bidding campaigns.
jj

Modeled Conversion Statistics

This section provides a detailed analysis of conversion rates, session trends, and revenue performance. It tracks total conversions and their relation to sessions, offering insights into how effectively traffic is turning into valuable actions.

Additionally, revenue per conversion and per session is highlighted, allowing marketers to assess profitability.

The time-series charts help visualize trends over time, enabling better budget allocation and data-driven adjustments to improve campaign efficiency.