8 Tips on how to date a Revenue Manager ... The 2026 Edition

Dating a revenue manager has always been a unique experience. Two years ago, I wrote a little survival guide for anyone brave enough to embark on this journey. Back then, we worried about forecasts, Excel sheets, dynamic pricing and whether your romantic dinner had achieved a positive ROI.

It’s 2026, going strong for 27. 6 / 7 is already so outdated it might just be black and white TV time.

BUT...We now have AI agents, algorithms making decisions for us, dashboards predicting dashboards, and revenue managers who can ask ChatGPT to analyse the relationship before they’ve actually spoken to their partner.

So, two years later, here is the updated survival guide.

To everyone currently dating a revenue manager ... or considering entering this highly dynamic marketplace ...well... good luck.

Here are my hot tips:

1. Understanding the Forecast

Some things haven't changed. Your revenue manager will still forecast... everything.

Planning a date? Weather, traffic, restaurant occupancy, Uber surge pricing and historical performance of previous Thursday evenings will all somehow become relevant.

The only difference in 2026 is that AI has made this significantly worse. They no longer need to spend an hour analysing whether Thursday is statistically the best date night. Their AI agent can now tell them in 14 seconds, including three alternative scenarios and a confidence interval.

Just remember: the forecast is not a commitment. This is particularly important when they forecast being home by 7pm. 😜

2. The Perfect Date Now Requires a Distribution Strategy

In 2024, your revenue manager would analyse restaurant reviews, prices and peak dining hours before choosing where to eat.

Cute. In 2026, they first need to decide where to book it.

Restaurant website? OpenTable? Credit-card concierge? Hotel dining app? Some obscure platform offering 20% cashback if you dine between 5:17pm and 5:46pm?

You thought you were going for dinner. Your partner is conducting a distribution audit.

Eventually you'll end up eating at 5:30pm because that's still the sweet spot between great service and peak demand. Some things even AI cannot change...even 2 years later.

And yes, money saved on the main course can still benefit the dessert. 😎

3. Inventory Management

Inventory remains everything. Your revenue manager's calendar will still contain colour codes, time blocks and probably several categories you don't understand.

Work. Gym. Travel. Revenue meeting. Kids. You (If you're lucky, you have your own colour.)

The important lesson from 2024 remains unchanged: claim your inventory early.

Because once Saturday night has been allocated, you're competing against displacement. And nobody wants to discover their romantic weekend was displaced by a higher-rated corporate event. 😘

4. The Price is Right... Eventually

Revenue managers remain physically incapable of purchasing something without first establishing whether a better price exists somewhere else.

Flights are particularly entertaining. Normal people search for a flight, see a reasonable price and book it. Revenue managers open 17 tabs, check three departure airports, compare miles versus cash, investigate whether Tuesday is cheaper, change the dates twice and then announce:

"Let's wait." .... Three weeks later the price has increased by €200. This will immediately be explained as an unexpected change in demand fundamentals rather than a forecasting error.

Welcome to revenue management. 🤩

5. Yield Management Has Become Total Relationship Value

In 2024, we called it maximizing limited resources. In 2026, we've evolved. We're now optimizing Total Relationship Value.

A quick coffee between meetings has low duration but potentially excellent contribution. A weekend away requires significantly more inventory but produces stronger emotional RevPAR. Dinner with the in-laws may technically generate zero direct revenue, but careful analysis reveals substantial long-term relationship value.

The mistake is measuring every interaction individually. Think lifetime value. Your partner certainly does. 😂

6. Data-Driven Romance Now Has AI

This is where things have become slightly dangerous. (please note this section is written in those annoying AI one-liners just for your and my amusement)

In 2024, your relationship had KPIs.

In 2026, those KPIs can actually be analysed.

"We've had 14% fewer date nights this quarter."

"Yes, but average date duration increased 23%."

"True, although sentiment appears to be declining."

At this point, stop.

Close the laptop.

Have some wine.

Because AI can identify patterns in your relationship, but asking it to determine why your wife is angry is still a spectacularly dangerous use case.

Some decisions require context that no dashboard possesses.

Particularly when she remembers something you said in 2011 that you don't even remember happening.

7. Real-Time flexibility is still key

A revenue manager's "yes" remains one of the world's most flexible contractual arrangements. BUT - Yes means yes based on the information currently available.

New information arrives? No. Then circumstances change? Yes again.

This isn't indecisiveness. Apparently, it's dynamic optimization.

The important thing is not to argue with yesterday's decision using today's information. Revenue managers hate that. Unless, of course, they're doing it to you. Then it's called learning. 😮

8. 50 Shades of Grey

And finally, the Revenue Tiger. There is still a floor. There is still a ceiling. And somewhere between those two sits the optimal outcome.

Revenue managers love boundaries because boundaries create room to optimize. Give them unlimited possibilities and they'll analyse forever. Give them a framework and suddenly things become much more interesting.

I'll leave the exact application of floors, ceilings, restrictions, minimum stays and dynamic availability to your imagination.

This is LinkedIn Learning after all. 😂

two years later...

Technology has changed enormously since I first wrote this in 2024. AI can forecast faster, analyse more data, automate pricing, build strategies and probably tell you which restaurant statistically gives you the highest probability of a successful date.

But revenue managers haven't changed quite as much.

They still overanalyse. They still love data. They still want the best possible value. They still change their minds when new information arrives.

And they'll still spend three hours researching how to save €20 on a hotel booking while confidently explaining that their time has an opportunity cost.

In the end, they're still a pretty happy bunch with a slight knack for data.

So if you're dating one, don't worry. Just make sure you understand the cancellation policy.

Love,

Fabi