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5 Predictive analytics wins our clients got with the Prescient platform

See real examples of brands using Prescient's predictive analytics, from forecasting to Scenario-Tracking, to make confident budget decisions before spending.

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5 Predictive analytics wins our clients got with the Prescient platform

A meteorologist who tells you it rained yesterday isn't much use to your weekend plans. The number that actually changes what you do next is the one that tells you what's coming, not what already happened. Marketing has spent years getting better at the first kind of number: dashboards that explain what a campaign did last week, last month, last quarter. What's harder to find is a tool that tells a team what's about to happen if they move a dollar from one channel to another, before they move it.

A brand that only understands its marketing in hindsight is always one step behind its own budget. The teams below used Prescient's forecasting and scenario-planning capabilities to make a call before the results were in, then watched the prediction hold up. That's a different kind of win than simply learning where a dollar already went.

Key takeaways

  • Forecasting accuracy, not just measurement accuracy, is what let these teams act with confidence instead of waiting for results to confirm a hunch.
  • Saatva reallocated TV spend to the specific placements Prescient forecasted would perform best, driving a 22% revenue increase from TV ads.
  • Eko Health used Prescient's near-perfect spend forecasting, accurate within 2% up to 84 days out, to expand budget with a 48% revenue lift and 2x ROAS increase.
  • Catalina Crunch used Prescient's optimization engine to forecast and reallocate spend, cutting CAC 24% in 30 days.
  • HexClad relied on the Scenario-Tracking tab to run long-term ROAS projections months ahead, landing a 20% ROAS increase.
  • Good American used the optimization tab daily to compare budget scenarios before spending, contributing to 24% faster revenue growth.
  • Across every story here, the win came from acting on a forecast, not from discovering a hidden result after the fact.

This kind of forward-looking measurement is also why Prescient was recently named Predictive Analytics Solution of the Year by Martech. The recognition centers on the same capability behind every story in this roundup: the ability to tell a brand what a budget decision will do before that budget gets spent.

A note before we get started: since these brands achieved their wins with us, we’ve launched an updated form of our platform. That means some of the features described below now look a little different, but we’re confident the updates only make these capabilities stronger. You can read more about all of the platform updates here.

Saatva reallocated TV spend to forecasted top performers

Saatva's marketing team had a familiar problem: they knew TV was working, but their existing solution delivered channel-level reports every six months, long after the window to act on them had closed. They needed something that could tell them where to move budget next.

With daily, campaign-level forecasts from Prescient, Saatva's team reallocated spend within both linear and streaming TV toward the specific placements the model projected would perform best. That decision led to a 22% increase in revenue generated by TV ads and a 75% year-over-year increase in branded search traffic. Read the full Saatva case study.

Eko Health scaled budget on a forecast accurate within 2%

Eko Health's performance marketing was already working, but the team suspected there was more room to grow if they could plan ahead with real confidence instead of reacting to last month's numbers. Cookie and tracking reliability were declining too, which made the need for a forward-looking model even more pressing.

Prescient's custom-built model gave Eko Health forecasting accurate within 2% of real results up to 84 days out, with recommendations rolling in the same day their data connected. Acting on those forecasts, Eko Health grew revenue 48%, doubled ROAS, and expanded their ad budget by 30%. Read the full Eko Health case study.

Catalina Crunch used the optimization engine to reallocate budget

Catalina Crunch's Head of Growth had already tried building his own in-house forecasting models, stitching together spreadsheets that took 15 minutes just to open. None of it gave him a fast, reliable way to answer a simple question: where should next month's budget actually go?

Prescient's optimization engine gave him that answer directly, telling him where to adjust budget, spend, channels, and campaigns before he committed the dollars. Acting on those recommendations dropped Catalina Crunch's CAC by 24% in a single month. Read the full Catalina Crunch case study.

HexClad planned months ahead with Scenario-Tracking

HexClad's Head of Advertising needed a way to plan spend for products with a 30 to 90 day consideration cycle, which meant a tool that could only explain last month's results wasn't going to cut it. He needed long-term projections he could actually plan a quarter around.

The Scenario-Tracking tab gave HexClad real-time trajectory adjustments alongside long-term ROAS projections months into the future, letting the team run the model multiple times a day and course-correct before spend went out the door. The result was a 20% increase in ROAS and a model that ran 40% more cost-efficiently than their prior solution. Read the full HexClad case study.

Good American compared budget scenarios before spending

Good American had already tested plenty of measurement tools and grown wary of oversold promises. What they wanted was a tool that could accurately predict ROAS before spend went out, not just report on it afterward, so the team could trust the plan before committing to it.

With Prescient's optimization tab, Good American's performance marketing manager reviewed the ideal daily budget across multiple scenarios before deciding where dollars go, comparing projected outcomes across TikTok, Meta, Google, and other channels. That approach has driven 24% faster revenue growth and 3x cost savings. Read the full Good American case study.

Wrapping it up…

Every brand above made a decision based on what Prescient's model said would happen, then watched it hold up in the results. That's the real value of predictive analytics in marketing: it turns budget planning from a guess into a forecast you can actually stand behind. If you're curious what that could look like for your own media mix, book a demo and see how Prescient's forecasting and scenario planning work with your own channels.

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