Welcome back to The Halo. In this issue we cover:
- Industry Watch: Why predictive analytics is finally being treated as core infrastructure.
- The Take: What our MarTech Breakthrough recognition says about the category, and our Horizons update.
- From the Blog: What the term "Bayesian" actually tells you about an MMM vendor (and what it doesn't).
- Prescient Voices: A leadership perspective on what our MarTech Breakthrough award means in practice.
- Three Things: Three reads on measurement, model trust, and where budget confidence comes from.
Predictive analytics has spent most of the last decade evolving and defending itself. Marketers wanted proof that models could do more than describe the past, and that they could confidently tell you where to put your next dollar of ad spend. That's the space we entered when we started, and it's the space we wanted to define.
On August 6, MarTech Breakthrough named Prescient AI its Predictive Analytics Solution of the Year for 2026, one recognition inside a program that reviewed more than 4,000 nominations from advertising, sales, and marketing technology companies worldwide. We're glad to have it and we're proud of our hard work, but we wanted you to walk away from this newsletter with a better understanding of this space and where the market is headed instead of just an award announcement.
Recognition like this is bigger than one company. It's a signal about where budget allocation approaches are headed, and the trust forecasting has been building in the marketing community. Our win is one data point, and we're grateful to our clients who made this win possible, but the larger pattern is the story.
Welcome to The Halo. Each week: one piece of measurement analysis, the best of the blog, one real customer result, and three reads worth your time.
Let's dive in.
INDUSTRY WATCH
Predictive analytics is graduating to core digital infrastructure
For years, marketing teams would only dip their toe into predictive analytics. The tools promised foresight but failed to earn the trust they needed. Marketers tried them, got burned by outputs they couldn't explain to a CFO, and mostly went back to last-touch attribution.
That's shifting. Predictive analytics has pushed forward, developing ways to build confidence with teams that use these tools, and tighter budgets for advertisers have increased the need for forecasts that can drive efficiency and keep wasted spend in check.
This year's MarTech Breakthrough Awards program is one data point for that shift. Now in its ninth year, it reviewed more than 4,000 nominations across advertising, sales, and marketing technology, and Predictive Analytics Solution of the Year was one of the categories judged competitive enough to warrant its own recognition.
Prescient AI's recognition in that category landed inside this larger shift. We always wanted to develop a product that helped marketers look forward, not back, so we're thrilled the space is now developed enough for its own category and that we've been honored with this title.
01 · THE TAKE
What this recognition is telling us
We're not going to deny being thrilled about our award, but we're also excited about what the stiff competition means about the category.
The other category winners speak to how high the bar for this recognition sits. We're one name on a list that includes Zeta, Klaviyo, Adobe, Contentful, Apollo, Cision, Acxiom, Pipedrive, Omnisend, Similarweb, Sprinklr, Clinch, and Viant, each recognized in their own category. Standing next to companies operating at that scale who have earned the industry's trust underscores how far our category has come and how our relationship with our clients is something we cannot lose sight of.
That's especially timely for us, considering how this award aligned with our Horizons update. On July 31, we launched Horizons, which included:
- Self-serve budget planning through the Media Forecaster
- In-product model transparency through the Model Center
- Plain-language explanations of what the model is doing through the Action Center
The award landed a week later, recognizing the same principle Horizons was built around: a marketing mix model can only earn trust when the person using it sees how it gets to its answers.
What has us especially eager for what this year brings is the larger trend the award points to: the industry that had been asking predictive analytics to prove itself is starting to treat it as the standard for budget allocation. That marks a whole new chapter in this field's evolution.
A marketing mix model only earns trust when the person using it can see how it got to its answer.
02 · FROM THE BLOG
What the term "Bayesian" tells you about an MMM vendor (and what it doesn't)
We talk to a lot of marketers. Ask them what they want from a forecasting tool in 2026 and explainability comes up almost as often as accuracy. That's a change from a few years ago, when less translation between data scientists and marketers was happening and models were overwhelmingly treated as black boxes, the outputs of which you either trusted or didn't.
Marketers and their finance counterparts are both reaching for more information to build trust in a model. That's mostly a welcome shift, but as more people start to recognize technical terms like "Bayesian," there's a risk that these terms themselves act as a proxy for trust instead of the modeling methodology underneath them.
In this piece, we walk through exactly what the term means, what it can and can't tell you about an MMM vendor, and why it's not a quality guarantee.
03 · PRESCIENT VOICES
We set out to deliver a transformative solution that could genuinely improve how our customers operate, decide, and grow. Something that replaces failing measurement frameworks that can't keep pace with today's high-stakes marketing environments. So we started from scratch to help markets answer the questions that matter most. We're grateful to MarTech Breakthrough for the 'Predictive Analytics Solution of the Year' award. We believe every ad dollar should be measurable, leading us to combine our deep expertise and technology with real-world marketing experience to build models that actually reflect how advertising works.
04 · THREE THINGS WORTH READING
1. A down economy is the worst time to fly blind on measurement
The direct companion to this week's Industry Watch. When budgets tighten, the cost of a wrong reallocation goes up. The post walks through why measurement earns its keep hardest in years like 2026, and what to look for in a model when every dollar of spend has to be defended. Read →
2. When everyone pulls back, the brands that hold position win
The companion piece on confidence. Holding spend while competitors cut takes a defensible read on what each channel is producing. The post walks through what makes a forecast solid enough to argue for holding budget when the room wants to trim it. Read →
3. Funnel vs ads vs scaling in marketing: how the three fit together
The operational read. Once the model earns trust, the next question is where the incremental dollar goes. The post covers how the funnel view, the ad-level view, and the scaling question line up in a coherent budget plan. Read →
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