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When Personalization Backfires
Is it personal? Or is it just “creepy and irrelevant”?
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Only 9% of people are brand loyal. So why are we still building arts models that depend so heavily on loyalty?
Ask any arts leader how to fix audience decline, and you’ll hear a familiar answer: "We need to innovate." They’re not wrong. But they're innovating in the wrong places.
Business models are designed to defend the assumptions they were built on—even when external realities shift.
Last January, I set a SMART goal of reaching 5,000 LinkedIn followers (nearly twice what I was starting with) and doubling my LinkedIn reach by the end of the year…
Opera Philadelphia’s recent decision to introduce a pay-what-you-can model, with tickets starting as low as $11, has generated considerable buzz.
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It’s mid October. Your patrons are about to face one of their biggest holiday season frustrations: finding the perfect gift. Here are five consumer studies you need to know.
Personalization is billed as marketing’s holy grail. But most of what the industry calls “personalization” isn’t personal at all — it’s shallow behavioral tailoring, and consumers know it.
Forward-thinking organizations are applying universal design principles to their entire organizational structure, recognizing that inclusive design fosters innovation that benefits everyone.
For decades, arts leaders have been told to focus on people who already love the arts. Here's why that advice is limiting growth.
The headlines are exciting. "Arts sector grew at twice the rate of the total economy!" "We contributed $1.2 trillion to the GDP in 2023!" Here's what's actually happening.
If listening were a pipeline to attendance, our concert halls would be packed. They're not. Here’s why.
Golf didn't just stabilize a declining industry—they sparked record-breaking growth by making the sport accessible to people who never would have engaged before.
Most grant applications follow the same tired formula: Here's who we are, here's what we do, here's why we're great, here's why you should fund us.
Arts orgs have long relied on demographic and transactional data to segment their audiences—age, income, ticket history, and zip code serving as proxies for interest and intent. But these traditional models have lost their predictive power.
Arts organizations too often focus their sales pitches on “cultural enrichment”, citing industry reports or in-house surveys that say it’s a primary driver of engagement. But those studies asked the wrong question.
Now is the perfect time to step back, clear your head, and scan the bigger forces shaping audience behavior. These aren’t arts-specific reports—but that’s exactly the point.
The subscription model that the performing arts world is built around? It only briefly aligned with how most people actually behaved—a narrow window in time when routines, loyalty, and consumer habits lined up.
It’s getting personal. And arts organizations need to get on board—because mission alone won’t save you when the funding dries up.
Researchers measured oxytocin levels (the “love hormone”) in concertgoers before and after a live performance. Here are the surprising results.
You listen attentively to every industry report, waiting for that one nugget that will change your strategy. But halfway through, that nagging voice in your head always whispers: “How is this actually helpful?”
Most arts organizations can’t tell what’s driving growth—and what’s just noise. Not because they’re not measuring. But because the system itself was never designed to give them real answers.
The arts sector can’t catch a break. Audience declines. Shifting consumer behaviors. A global pandemic. And now—drastic cuts in federal funding. It’s time to rethink our business model.
Only 9% of people are brand loyal. So why are we still building arts models that depend so heavily on loyalty?
Beyond Demographics: Unlocking the Core Drivers of Engagement
Arts orgs have long relied on demographic and transactional data to segment their audiences—age, income, ticket history, and zip code serving as proxies for interest and intent. But these traditional models have lost their predictive power.
Churn Isn’t Failure. It’s Our New Reality.
Only 9% of people are brand loyal. So why are we still building arts models that depend so heavily on loyalty?
Arts Organizations Aren’t Failing. Their Outdated Models Are.
Business models are designed to defend the assumptions they were built on—even when external realities shift.
Arts orgs have long relied on demographic and transactional data to segment their audiences—age, income, ticket history, and zip code serving as proxies for interest and intent. But these traditional models have lost their predictive power.