Causeway Solutions

08/20/2026

Popular ≠ automatically worth more budget.

Two issues can have almost the same level of support and still deserve very different investment strategies.

The difference? What surrounds that support.

If one issue has strong support without equally strong opposition, the opportunity can look very different from an issue where both sides are highly concentrated.

That’s the kind of pattern our AI-powered intelligence platform is built to surface — from paradox voters to issue tailwinds.

Read our latest post: https://hubs.ly/Q04tM_X20

Two issues can have the same public support but deserve different budgets. Learn how support and opposition can help advocacy organizations invest more strategically.

08/14/2026

What happens when party stops predicting behavior?

Some voters hold beliefs that don't fit neatly within traditional partisan lines. We call them paradox voters.

These audiences can reveal something traditional targeting misses: the same underlying tension can be a retention risk among supporters or a persuasion opportunity among people you're trying to reach.

The signal is the same. The strategy is completely different.

Read our latest blog: https://hubs.li/Q04t28F10

Party tells you who someone backs, not whether they can be moved. How cross-pressured voters, the ones who decide close races, hide on a party map.

08/03/2026

Your most valuable audience may not be your biggest growth opportunity.

We analyzed a 1.3 million-person market and found the segment most organizations would naturally prioritize, loyal high-use customers, made up just 3% of it. The larger opportunity was the 35% who were open to being moved but had not yet acted.

The lesson isn't that existing customers don't matter. It's that audience strategy means telling the difference between current value and future opportunity. The audiences worth investing in are the ones where two things are true: they can be moved, and they will act.

New on the blog: the two questions that decide where your budget belongs.
https://hubs.li/Q04rD6HM0

Demographics tell you who your audience is. Two better questions tell you where your budget belongs: can they be moved, and will they act?

07/24/2026

This week, our team spent three days at the 2026 NAR Government Affairs Directors' (GAD) Institute in Columbus, Ohio.

The GAD Institute brings together government affairs professionals who represent REALTOR® associations at the state and local level to discuss the issues shaping communities across the country.

Thank you to the team behind the GAD Institute for putting together such a well-run event, and to everyone who stopped by. GADs do great work for their members and communities, and we appreciated the opportunity to connect with so many of you this week.

07/15/2026

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.

Here's the thing: clients can usually tell. They might not be able to put their finger on why a proposal feels generic, but they feel it.

Most teams do their homework by reading the website, checking the annual report, and building a persona from assumptions. Sometimes the guess is right. It's still a guess.

The proposals that actually win show up already understanding the real person the client is trying to reach, and the market they're in. They don't pay the tax.

We wrote the full breakdown of this, including why leading with behavioral evidence separates a proposal that sounds informed from one that actually is. Link here👉

Why guessing at a market costs firms RFPs they should win, and how behavioral intelligence helps teams prove their strategy instead of assuming it.

07/10/2026

Over the past six weeks we've shared the story of building what's next at Causeway, and how our thinking changed along the way.

The easy version of "going AI native" is doing the work you already do, faster. That's where we started too. But faster analysis is still just analysis. It lands on a desk waiting to be turned into something usable.

So the ambition shifted. We started building something new: a platform that delivers intelligence people can actually use to make a decision.

That is what this whole series has been about.

Thanks for following along. The final post, Where Things Stand, is live: https://hubs.ly/Q04p8BBg0

07/02/2026

Trust was everywhere at this year's healthcare marketing conferences. What almost no one named is where it actually breaks.

It's rarely the campaign itself. Trust breaks in the space between what marketing promises and what patients actually experience: the clunky scheduling system, the overwhelmed call center, the confusing bill.

That idea came out of our June Results Roundtable, and it became the foundation for our latest blog on the conversion gap and what it means for healthcare marketers.

Read it here:

Great healthcare campaigns don't fail in the ad. They fail in the handoffs after the click. How the conversion gap erodes patient trust, and what marketing owns.

07/01/2026

When we reached the point where we could produce twelve weeks of work in just three days, it felt like we'd achieved something significant.

But after the excitement wore off, we found ourselves asking a different question.
If all we've done is make the same work faster, have we really built anything new?

Our latest blog explores why speed isn't the end goal and why organizations should be thinking beyond efficiency toward entirely new ways of working.

Read the latest here:
https://hubs.li/Q04nh1Zj0

06/18/2026

The first real output our new system produced was completely correct. And we still couldn't use it.

The data was right. The claims were right. But it lacked the judgment and nuance of a real strategist.

Closing the gap between correct and good became the real work: iteration, fourteen rounds of calibration, and a lot of human refinement.

Post 3 in our AI build series explains why the slow work up front is what makes fast, high-quality output possible: https://hubs.li/Q04lT2Bc0

06/08/2026

Post 2 of our AI build series is up, and it's called Cleaning Out the Garage for a reason.

Before we wrote a single line of code, we had to answer a question most organizations skip: is our existing infrastructure the right foundation for what we want to build, or do we need to clear it out first?

Sprint 0 was that process. What stayed, what changed, and what got left behind, and why those decisions mattered more than anything we built afterward.
Full story at the link.

Read the full story:

The infrastructure decisions that shaped our AI build, made before a single line of code was written. How Sprint 0 in a real AI-native transformation actually went.