Deal Dash looked simple.
Tap a stage. Beat your score. Climb the leaderboard.
But behind that mini-game sat a live automation engine quietly handling lead capture, real-time scoring, engagement loops, CRM syncing and post-expo follow-up, all without the player ever seeing it.
And that was intentional.
Because great systems shouldn’t feel complicated.
They should just work.
Expos are noisy.
Every stand is competing for attention. Everyone has branded pens, tote bags and well-meaning sales conversations.
We didn’t want more giveaways.
We wanted something people would actually remember.
More importantly, we wanted something that reflected what Flowbird does every day:
Build systems that feel simple on the surface, but do serious work behind the scenes.
Deal Dash started as a fun idea, a small interactive game that would bring people to our stand and give them a reason to come back.
But we quickly realised it could become much more than that.
Instead of just building a game, we decided to build a fully automated engagement system, disguised as one.
We weren’t just trying to get people to play once.
We intentionally designed Deal Dash to encourage:
Even the game mechanics were intentional.
“Errors” aren’t just a visual element. Ignore them and you lose your streak.
Because data quality matters.
And we couldn’t resist sneaking that lesson in.
From the outside, Deal Dash looks like a small browser game.
Under the hood, every score submission triggers a real-time automation chain:
Every tap creates a ripple effect across multiple systems.
Players never see it.
And that’s exactly the point.
We often get asked:
“Why not just do this all inside HubSpot?”
Because real business problems rarely live inside one system.
Flowbird isn’t a “single-platform agency”. We design solutions that use the right tools for the job.
In this case:
This is how most of our client projects work too.
We build around real-world requirements, not platform limitations.
The most difficult part of Deal Dash wasn’t the game interface.
It was everything behind it.
When you’re dealing with:
Small errors compound quickly.
During testing we saw:
So we tested. Then tested again. Then broke it on purpose.
Because production systems don’t get second chances.
This is the unglamorous side of automation work, but it’s also the part that separates working systems from flashy demos.
The biggest surprise wasn’t technical.
It was human.
Some players came back more than 20 times.
People checked the leaderboard from their phones.
They returned to the stand to see if they’d been knocked out.
They brought colleagues over to try and beat them.
That feedback loop worked exactly how we hoped.