In this episode of Hotel Moment, Karen Stephens sits down with Jeff Michael, Area Director of Revenue Management at Sage Hospitality Group, who brings more than 25 years of hospitality experience spanning operations and commercial leadership. Jeff explains why the explosion of hotel data has created a new kind of paralysis, why "commercial alignment" so often fails when departments chase different incentives, and how AI is finally turning guest lifetime value into a metric hotels can actually use. His core message: stop drowning your team in reports, tie every department back to one profitability goal, and let AI take on the analyst work so revenue managers can think like strategists again.
In this episode of Hotel Moment, Karen Stephens, CMO of Revinate, sits down with Jeff Michael, Area Director of Revenue Management at Sage Hospitality Group, to unpack one of hospitality's quieter problems: hotels now have more data than ever, yet many commercial teams are making decisions no faster, or no better, than they did a decade ago. Drawing on more than 25 years moving from hotel operations into commercial leadership, Jeff lays out exactly where that breakdown happens and what high-performing teams do differently.
What you'll learn:
● Data overload creates its own kind of paralysis: Why having access to more data points than ever before has, counterintuitively, made some commercial teams slower and less confident in their decisions, not faster.
● Reporting is not strategy: The clear line Jeff draws between a revenue manager who reports out on numbers all day and one who uses those same numbers to take action, and why the first version quietly erodes a commercial role.
● The tell-tale sign of a team drowning in data: How a simple pattern, lots of explanation and no follow-up action, reveals whether a hotel's revenue function is functioning strategically or just generating reports.
● Commercial alignment usually isn't real alignment: Why sales, marketing, and revenue teams often say they're aligned while their actual incentives and goals point in different directions, and the exercise Jeff uses to fix it.
● Total profitability as the new North Star: Why metrics like RevPAR and RGI alone no longer capture what owners actually need, and how tying every department's goals back to total hotel profitability changes behavior across the board.
● Guest lifetime value finally becomes calculable: Why this metric has historically been difficult to pin down with confidence, and how AI is starting to make it usable at a scale hotels could not manage manually.
● What elite commercial teams have in common: Jeff's take on the mix of talent, trust, and open communication that separates market-leading hotel teams from the rest, built from his experience leading several of them.
● AI is removing the busywork, not the strategist: How Jeff is already seeing AI take over the reporting and analyst tasks that used to consume revenue managers' time, freeing them to focus on actual commercial strategy.
● A low-pressure way to build AI fluency on a team: The simple, hands-on approach Jeff uses to get his team comfortable experimenting with AI tools rather than fearing them.
Karen and Jeff also touch on how total revenue optimization extends beyond rooms into outlets and ancillary spend, and Jeff closes with advice for young revenue leaders entering the industry: stay curious, build genuine relationships with your team, and don't rush past the experience each role has to teach you.
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Episode Highlights
[04:22] When more data becomes the problem, not the solution - Karen and Jeff get into one of the most counterintuitive shifts in modern revenue management: more data has not automatically meant better decisions. "We used to always say we need more data to make good decisions, and now we have this overload of data," Jeff explains, describing how teams can end up paralyzed trying to review everything before acting. It reframes the entire conversation around what commercial teams should actually be optimizing for.
[05:25] The warning sign that a team is drowning in reports - Jeff shares the exact pattern that tips him off when a revenue team has lost the plot. "When I see lack of action, that tells me that we're kind of drowning in the data or drowning in the reporting," he says, describing conversations where a revenue manager explains what is happening in the numbers but has no plan for what to do about it. It's a simple diagnostic any commercial leader can apply immediately.
[08:10] Why profitability is the only metric that aligns a whole hotel - After describing how commercial departments often chase conflicting KPIs, Jeff lands on the metric that actually works. "These days, it has to come down to profitability," he says, explaining that this shift in thinking is what finally gets revenue, sales, and marketing pointed at the same outcome. The insight reframes commercial alignment as a math problem as much as a culture problem.
[09:25] Guest lifetime value is finally becoming a usable metric - Asked how hotels should think differently about guest lifetime value, Jeff is candid about the historical difficulty: "In many instances we're still struggling to always have that calculation." But he sees AI changing that. "This is gonna be a more important key metric going forward," he says, tying it directly to better retention strategy and more precise targeting of the guests worth investing in.
[15:22] The AI experiment that won back two hours instantly - Jeff shares a simple exercise he gave his team: ask AI to review your calendar for the week and suggest how to optimize it. "Everyone came back blown away," he says, describing how the tool flagged call fatigue and reprioritized tasks they hadn't thought to question. Karen adds her own version of the same realization, joking that the time saved is "crazy." It's a small story that makes a much bigger point about adoption: the fastest way past AI hesitation is simply trying it.
Chapters:
00:00 - The AI personalization opportunity hotels are missing
01:05 - From hotel operations to revenue management leadership
04:03 - From data reporting to true revenue intelligence
06:07 - Aligning revenue, sales, and marketing around one goal
09:15 - Rethinking guest lifetime value in the AI era
11:18 - What separates high-performing commercial teams
13:05 - How AI will reshape commercial strategy in five years