Take your budget further.
Speak with us today
You can see the future and how powerful an MMM would be for your brand, and that’s why you’re here. Not quite ready to team up? This is how everything works, from getting onboarded as a client to the best-in-class features we offer.
You’ll feel the effects of the Prescient team here—because marketers like you were at the heart of what we designed. Pedigreed data scientists and accomplished growth marketers on our team worked together to deliver exactly what you need.
Set up a demoWe know marketing efforts never stop, so we crafted the onboarding experience to move as quickly as you do.
We use a combination of highly secure ETL vendors (e.g. Fivetran into Snowflake) and direct tech partnerships (e.g. Grin, Kargo) to help facilitate data ingestion that is fast and reliable.
Want to self-onboard? Easy. Prefer to go through it with us? We’re here for you. Want a walk-through after your data has been ingested? You got it.
Want to set up your own billing so you have complete control? That comes standard. Oh yeah, and we don’t charge you per seat. Large team or small, you control who gets into the tool and what they can do in it.
You’ll see comprehensive data ingestion with actionable insights in days, not weeks. The onboarding specialist team is available to walk you through the platform with your data if you want a guided jumpstart.
Marketing mix modeling was first developed in the 60s—and most companies in MarTech are using the same old models. We thought it was time for a higher standard.
Learn more about MMMsYes, it’s possible with Prescient AI. MMMs from the 1960s couldn’t do daily insights—yet another reason why we felt they fell short of the modern marketer’s needs. Daily insights require a better MMM and larger investment in computing, two things we believe our clients deserve.
You need to see and understand the forest and the trees, that’s why you’ll find channel, tactic, and campaign level analysis and reporting in our tool. Channel and tactic level attribution helps to validate your strategies, while campaign level data helps support day-to-day optimizations along the way.
Your brand is unique—that means your models should be, too. We use your own brand’s historical data to train your models. What does that look like? That depends on the data you consider most important and trustworthy, from platform reported data to post purchase surveys, and even geolift or incrementality tests.
There’s a delayed impact to your marketing efforts, and they’re just as important as what happens immediately. While MTAs may struggle with fixed attribution windows, we use machine learning to identify and understand the delayed impact of your brand’s top-of-funnel efforts on conversions at both the channel and campaign levels.
Prescient AI uses probabilistic modeling to understand revenue as a result of engaging with an ad (base revenue), but we wanted to go deeper than that. You’ll also find reporting on your halo revenue, which comes as a result of impressions but not clicking on an ad (people who come back later directly, through branded or organic search, or to another channel like Amazon).
There’s no guesswork involved. Prescient AI forecasts use your brand’s historical data to understand what could happen with different budgets and how likely the outcomes are.
Learn more about MMMsMarketing budgets and demands change. Sometimes you’ll need to forecast changes on one campaign, sometimes you’ll need to build a scenario with a few campaigns, and other times you’ll want to see the full future impact of your entire marketing mix. You need a forecasting tool that can do it all.
Use these saturation curves to understand the amounts you’ve spent before on a campaign and what would happen if you change the spend in the future.
Understand how budget changes across multiple campaigns would incrementally impact your bottom line, with confidence scores to guide you every step of the way. Execute these changes within the same tool.