Better audience targeting shouldn't require building a research and data science team. From consumer research to predictive modeling, agencies can expand their capabilities without taking on everything in-house. Read more: hubs.li/Q04C1G2K0

84% of sports fans stream. But only 44% regularly watch major ad-supported streaming tiers. And 1 in 5 casual fans watches live TV but doesn't stream. Are your ads reaching the fans you actually want? New blog: hubs.li/Q04Bq0wR0

A hospital ad gets a like from someone in its waiting room. Engagement? Yes. A new patient? No. Build your audience before platforms optimize for the easiest clicks. Read more: hubs.li/Q04zskfz0 #AudienceStrategy

Who cares about an issue and who shows up aren't always the same audience. 55% of voters we modeled as worried about energy affordability are low-turnout, compared with 36% of voters overall. See what’s inside the audience hubs.li/Q04ykllR0

For years, political audience intelligence lived with the vendors producing it. AI is changing who gets direct access to it. New on the blog: hubs.li/Q04xy3rp0

Football season has arrived. And "Football fan" covers 202.8 million people. Nearly half also index as Women's Sports Fans. Almost 3 in 10 bet or play fantasy. The label is just the start. See what's actually inside the audience: hubs.li/Q04xf5lg0

The GLP-1 story: medication in, surgery out. Our data says otherwise. 4 distinct weight-loss audiences, and telehealth users are roughly half as likely to see a PCP regularly. Real question: where's demand actually going? hubs.li/Q04wJBn10 #GLP1 #HealthcareMarketing

Already placing media for clients? You’re doing the hard part. You don’t need to build audience intelligence from scratch. Partner with Causeway to offer more. Keep the client. Keep the strategy. We bring the audience intelligence. Book a demo: hubs.li/Q04vg4170

Popular ≠ automatically worth more budget. Two issues can have the same support but very different opportunities. The difference? What surrounds that support. Our latest explores issue tailwinds and where the next dollar may work hardest. hubs.li/Q04tMkgP0 #Advocacy

What if the most useful opportunities aren't between the parties, but between beliefs? We call them paradox voters: people whose beliefs cross traditional partisan lines. Read our latest on when party stops predicting behavior. hubs.li/Q04t1XT90 #AudienceStrategy

Your most valuable audience isn't always your biggest growth opportunity. In a 1.3M-person market, the high-use segment everyone prioritizes was just 3%. The real growth was the 35% open but not yet acting. Two questions decide where a budget goes: hubs.li/Q04rDfyk0

Great few days at the 2026 NAR GAD Institute in Columbus, OH this week. GADs do real work for their members and communities, and it was great to meet so many of you. Thanks to everyone who stopped by.

Most RFP responses pay a tax without knowing it. We call it the assumption tax: the price a proposal pays in credibility when it leans on a guess about a market instead of evidence. We broke this down in our latest post: hubs.li/Q04pFFfs0

The easy version of "going AI native" is doing the same work faster. But faster analysis is still just analysis. So we built something new: a platform that delivers intelligence people can actually act on. Final post in the AI build series is live: hubs.ly/Q04p86nv0

Trust doesn't break in the healthcare marketing campaign. It breaks between what marketing promises and what patients actually experience. That idea became the focus of our latest post, inspired by our June Results Roundtable discussion. Read it here: hubs.ly/Q04nj3q40

When we realized we could produce 12 weeks of work in 3 days, we thought speed was the story. It wasn't. The real question became: if we've only made the same work faster, what have we actually built? Are we building a faster horse... or a car? Read: hubs.li/Q04nfYRL0

Our system's first real output was correct, but we couldn't use it. Correct isn't the same as good, and closing that gap took 14 rounds of calibration. Read post 3 in our AI build series about why the slow work up front makes fast output possible: hubs.li/Q04lSvLT0

Before we built anything, we had to answer one question: is this the right foundation for what comes next? Read the full story in Post 2 of our AI build series: hubs.li/Q04kty8P0

Join us for our next Results Roundtable discussion — our last one before summer break. -Thursday, June 18 -1:00 PM ET, Microsoft Teams -Led by Tim Duer, Causeway Solutions Register here: hubs.li/Q04khkFj0

At #NESHCo in Burlington last week, one line from a Yale Medicine session stuck with us: "Someone's worst day is their everyday." A reminder for #healthcaremarketing: behind every click, search, and data point is a person making a decision about their health.