Last week, we held our annual AdTech Unlocked conference at Google UK. It was designed as an interactive journey through the evolving world of data, privacy, and adtech. From foundational privacy-first practices to AI-powered modeling and activation, the event mapped the full progression of data and adtech maturity.
A key theme that echoed throughout: speed to insights matters more than ever. Whether it was modeling in minutes, real-time experimentation, or privacy-safe activation, rapid testing was at the heart of nearly every session—especially as we unveiled our new solution for accelerating data modeling: InfoTrust Ignite.
Why Accelerated Modeling Matters
If I were to ask you – how long does it take for you to deploy propensity, value-based-bidding or customer lifetime value model to improve your bidding or targeting strategy? The typical response that we hear is a minimum of 2-3 months. When I asked this question at the AdTech Unlocked Event, quite a few people said that even three months was an aggressive timeline. If this is the case, here are some business implications to consider:
- By the time the model is ready, the window to act on high-intent users may have already closed.
- Slow modeling cycles mean that testing new hypotheses or audience strategies is severely delayed.
- Competitors with faster modeling and activation can react quicker to market shifts, consumer trends, and behavioral changes.
Our goal is to remove those impediments by cutting modeling time by 90%, and—you read it correctly—offering organizations an ability to launch models in the time it takes to read this blog post and have the results ready in 24 hours or less.
In a world where digital behavior changes by the second and first-party data is increasingly vital, organizations can’t afford to wait. Whether it’s churn modeling, predictive customer segmentation, or propensity to buy, the faster your models are live, the faster you can act.
Ignite allows teams to:
- Build and deploy models in near real-time
- Reduce dependency on heavy engineering and data science resources
- Focus your time on campaign optimization and experimentation
Real Use Case: Campaign Deployment Leveraging New Models
Let’s say you want to adjust your bidding based on propensity to buy for your top 5 customer segments. This reduces waste and throwing your marketing dollars away on users who are least likely to purchase
Traditional route? Multiple sprints, several teams, and a lot of patience.
With InfoTrust Ignite?
Leverage your first party Google Analytics data, select a pre-configured churn prediction module, define model customizations—and the model powered by Vertex AI is live before you finish your morning coffee.
We’ve built Ignite to align with privacy-first, consent-based data practices. Every model deployed follows the principles of ethical AI, data governance, and transparency that InfoTrust stands behind.
Ready to Try InfoTrust Ignite?
We’re piloting Ignite with customers right now, with powerful early results. If you’re ready to accelerate your data modeling efforts and achieve better marketing results faster, let’s talk. The whole pilot will be faster than the time it took you to read this article.
