Organizations often overlook the single biggest factor influencing attendance. Here’s the data that nobody’s talking about.
The schedule of a potential visitor plays a leading role in a visitor’s decision to attend a cultural organization, but many organizations don’t think twice about schedule (focusing instead on items such as cost of admission, special events, or the content of a program or exhibit). These items are not unimportant, but the data on the importance of considering audience schedule is unassailable. Want more people to visit? It’s time to understand the leading roles that schedule and hours of operation play in the decision-making process.
Let’s use data to bust some popular myths about visitor motivations, and take a look at four misunderstood bits of information regarding the role of “schedule” in the visitation decision-making process:
1) Schedule is the single biggest factor contributing to visitation (not cost or specific content)
It makes perfect sense: If a visitor-serving organization is not operating when people can or want to visit, then those people aren’t going to visit. In Western Europe, folks are more willing to schedule their work and personal lives around visiting a cultural organization that has a good reputation. (Of course, a shorter work week and more generous vacation time allowances in Western Europe help create more schedule flexibility!) In the United States, that’s just not happening.
A high-propensity visitor is a person who demonstrates the demographic, psychographic, and behavioral attributes that indicate an increased likelihood of visiting a cultural organization. These are the people who are most likely to visit our organizations, and they are “where our bread is buttered” in terms of visitation. People in the United States – including high-propensity visitors – do not generally reorganize their lives in significant ways in order to visit cultural organizations if their operating hours are inconvenient or conflict with work (or school) commitments.
Notice also that schedule is a significantly more important factor in the decision-making process than is cost for high-propensity visitors. Keep in mind that many “minority majorities” and (especially) millennials qualify as high-propensity visitors – and that high-propensity visitors are not necessarily the same as historic visitors. (There seems to be this weird idea that millennials and “minority majorities” are the same as affordable access audiences and are unwilling or unable to support cultural organizations…but there’s abundant data demonstrating that this is not the case – though we do desperately need to get better at attracting these emerging audiences.) The key to meaningful engagement for people who are interested in your content may not be cutting admission by $5 (which data suggest doesn’t work), but, instead, may be establishing hours of operation that better conform to our audience’s preferences.
2) Take a close look at when you are open and when audiences are easily available to visit (because they often are not the same)
Over 30% of people who report interest in visiting cultural organizations have not visited one in the last two years. What gives? Take a look at this data from the National Awareness, Attitudes and Usage Study of over 124,000 adults as of December 2018. For people who would like to visit a cultural organization but haven’t visited, schedule conflicts (including ill-suited hours of operation) are a primary barrier. Take a look at how these barriers stack up comparing millennials to non-millennials:
Schedule conflicts make perfect sense as a leading barrier to visitation for folks who may be otherwise interested in attending an organization. Think about it: Most of the time, cultural organizations are generally only operating when people are at work or in school! And some potential visitors have professions that keep them busy working during the weekends as well.
Weekend activities are precious. For potential visitors who do not work on the weekends, there’s steep leisure activity competition – including simply staying home and binge watching Netflix. The preference to stay home during the weekend has increased over 20% in the last seven years! And when folks can take a holiday, there are often other commitments to tend to that take precedent – such as visiting family. Moreover, students tend to be in classes during traditional weekday hours of operation.
When we add all of these things up, it begs the question: How do cultural organizations determine their hours of operation? Do we have these hours because that’s how we’ve always done it? And, knowing what we know about today’s connected, real-time world, would we still choose to be the most inaccessible in the early mornings before folks head to work and in the evening when they have their most discretionary leisure time?
Of course, this issue may require an industry evolution (revolution?) to resolve. We’ve spent years training audiences to visit us during holidays and weekends (a tacit acknowledgment that 9am – 5pm schedules may suit no one but our staff). Retraining audiences is hard to do…but changing the public perceptions of cultural organizations and better serving our missions may necessitate a good, hard look at how we approach our hours of operation.
3) Organizations are unlikely to move visitation to a shoulder season without risking overall attendance
Perhaps the biggest industry misconception about schedule as a motivator for visitation may be that many organizations think that they can change it. This is a difficult – if not impossible task – and more often than not, results in a very poor reallocation of resources.
Take a look at this 10-year analysis of attendance by month to 78 US visitor-serving cultural organizations. The analysis indicates clear “peak” and “off-peak” seasons. This data indicates the time periods when people want to visit cultural organizations (given the current schedules that cultural organizations keep) – clearly illustrated by the fact that these are the times when people are, in fact, actually visiting.
The chart below organizes the monthly attendance data by season. The summer season accounts for nearly 37% of total attendance. Also, the spring season, driven by the traditional spring break holiday from school, accounts for approximately 27% of an organization’s total annual attendance.
Now that we’ve established that the market obviously has clear seasonal visitation preferences, let’s bust some backward thinking. It is a myth to believe that efforts during off-peak seasons can easily “make up” for poor performance during the peak spring and summer months. Think of it this way: If your organization welcomes 200,000 visitors per year, and 14% of them are visiting in July, an emphasis on increasing attendance during the month of October (when only 6% of visitors historically attend) is not going to produce the total visitation impact as would maximizing peak season attendance. This is especially true in our world of finite resources. Increasing an investment in an off-peak season often means reallocating investments from peak seasons. This alternative use of funds is very unlikely to produce a net benefit for the organization.
Q: What if an organization reallocates some of its resources from peak season to off-peak season? A: It’s not usually a wise financial move. Here’s a case study from my work at IMPACTS that clearly demonstrates the point. Consider the recent example of a large visitor-serving organization (annual attendance >1,000,000) that developed a strategy to increase year-end visitation during the holiday season by reallocating some audience acquisition investments that had been traditionally deployed during the peak season. As a heads-up, this was a relatively modest reallocation of investments and the organization was still investing at a considerable level during the peak season…just not as much as it had in the past. Let’s call this reallocation of resources in an attempt to alter visitation the organization’s “shoulder strategy.”
Attendance during the holiday season did improve by 1.17% – but at the expense of attendance during the peak season (which declined by 4.00%). More importantly, a 1.17% increase in attendance during the holiday season only equated to an additional 3,306 visitors…while the 4.00% decrease in peak season performance cost the organization 108,840 visitors. In other words, it proved impossible for the organization to “make up” peak season attendance during an off-peak period by reallocating peak-season resources to the off-peak period. Here’s a look at this information another way.
There are few meaningful ways to fully compensate for underperformance during a peak season by emphasizing the off-peak season, nor is it likely that a significant investment in the off-peak season will return significant attendance benefits to the organization when compared to the potential of that same investment deployed during a peak season. Schedule is simply too important of a factor to our audiences for them to alter their behaviors to suit our preferences – after all, we don’t define our peak seasons, our audiences do!
Certainly, there are things that an organization can do to try and encourage attendance during less popular months – but don’t rob from peak seasons to pay for an off-peak opportunity. Your organization needs to make its hay when the sun is shining.
When trying to encourage greater visitation during off-peak seasons (hopefully through additional investment rather than taking from peak season resources), remember that discounts artificially increase visitation and change visitation cycles. In fact, discounts do a whole host of not-awesome things for your long-term bottom line. When you discount, you are simply displacing visitation from another season, decreasing visitor satisfaction, devaluing your brand and – perhaps most importantly – decreasing the likelihood of any return visitation at all.
4) Attendance loss from unexpected closures is greater than most organizations realize (and it is not generally replaced)
We are often wrong about the impacts of an unforeseen closure for two, big reasons that are important to understand beyond the framework of attendance and revenue projections. When an organization is closed at a time when people might otherwise expect it to be open, visitation generally is NOT displaced to other times of the year. And, to top it off, we lose more people than simply those who had planned to attend the organization that day.
Let’s look into how much visitation is lost (and if folks come back) when people expect an organization to be open, but it is not. To get to the bottom of this, let’s see just how much we underestimate the lost annual attendance due to unplanned, short-term facility closings such as weather events, closing for a private event, etc. This is also a helpful for understanding more about losses to organizations that are regularly closed during seemingly arbitrary days of the week when people expect them to be open.
The chart below illustrates data from 13 organizations over a three-year analysis and includes a range of cultural, visitor-serving organizations (each represented by letter). The “Expected Decline” value indicates the number of visitors as a percentage of annual market potential that were expected to be lost by an unforeseen facility closure (from an potential visitor’s perspective) such as a weather event or even an full-site event rental. If an organization’s market potential analysis suggested attendance of 1,000 visitors on a given Tuesday, and the organization was instead closed that day, then the expected decline in annual market potential would be 1,000. Pretty logical, right? The “Actual Decline” value indicates the actual, observed percentage decline relative to an organization’s annual market potential.
Every organization quantified in the study indicated an actual decline greater than the expected decline. There are two, important reasons why expected and actual decline do not align in commensurate measure.
First, organizations underestimate attendance loss during these days because they do not understand the role that schedule plays in visitation. When people plan to visit an organization, but those plans fall through, visitors are not likely to simply “come back next month.” Those visits are generally lost.
Second, when we close for any reason, we don’t merely lose the people who were going to visit. We lose the recommendations, social media posts, and shared stories of all of the people who were going to visit that day – and the impact of the loss of earned media can be huge. In fact, for every one visit lost due to an unexpected closure, the net annual impact on market potential averages a decline of 1.25 visitors. Thus, if a sustained interruption to your operation results in 20,000 fewer visits, then the annual impact of this business disruption is likely to be lost attendance of 25,000 when compared to your organization’s market potential.
To be clear, I’m not suggesting that organizations never have unexpected closures! Things happen for which we cannot always plan – and sometimes situations arise which simply make it unsafe for staff or visitors to make it to our institutions. What I am saying is that we consistently underestimate the “now or not-anytime-soon” nature of schedule as a primary influencer of visitation decisions. Moreover, some organizations are routinely closed during seeming arbitrary days when people might otherwise expect them to be open – potentially underestimating the “cost” of being closed on that day of the week.
Considering the critical role that schedule plays in audience motivations, one would think that we’d talk about our hours of operation at least as often as we discuss our reputations, our special exhibits/programs, and our admission cost. But we don’t. As cultural organizations, we talk a lot about accessibility. However, many of us seem to overlook the most basic foundations of this concept – our schedule and open hours. It’s time to take a hard look at the primary barrier to visitation so that we may more effectively carry out our collective missions of making the world a more educated and inspired place.
Data in this article regarding barriers to visitation were updated in 2018.