How to Build a Culture of Experimentation in Your Business - How to Build A Culture in your business

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How to Build a Culture of Experimentation in Your Business

Every business is trying to get ahead on a few fronts at once. One of the easiest ways to do it, and keep doing it, is to build a culture of experimentation. Give your people room to try new things, and make sure everyone hears what they learn. In marketing, sales, and especially AI, that’s never mattered more.

Here’s the catch: most businesses think they already do this. Most don’t.

Why Most Businesses Quietly Stop Experimenting

It’s rarely about money or time. It’s that somewhere along the way, people picked up the idea that trying something and having it flop is a bad look. So they stop putting their hand up.

Fair enough. But it’s costing you. Plenty of great breakthroughs started as things that “didn’t work.” The Post-it Note came from a glue that wasn’t sticky enough. James Dyson went through 5,127 prototypes before his vacuum worked.

So ask yourself honestly: does my business actually back people who try something that doesn’t come off?

The best businesses I’ve seen flip the language. Every experiment ends in a win or a learn. A learn isn’t a failure. It’s tuition you’ve already paid. The only real waste is paying for the same lesson twice.

A few things make that stick:

  • Shout it out. Call people out in team meetings for trying things, not just for the wins.
  • Get people to call themselves out too. Build in a regular slot where everyone shows what they’ve been testing and what came of it. It’s a judgment-free zone. Whatever the result, the response is the same: good on you for having a go.
  • Back the learns. “We tried this and here’s what we found” should get the same nod as a win.
  • Give them the time. If it has to be squeezed in after hours, it won’t happen.
  • Put up guardrails. Cap how much time and money a test can burn, and people will feel safe to have a go.
  • Spread it around. One person’s lesson should become the whole team’s.

Get that right, and there are three places it pays off fastest.

1. Marketing: Always Have Someone Warming Up on the Bench

Every campaign goes stale eventually. And when it goes, it tends to go quickly. The worst thing you can do is scramble to throw together a replacement after the numbers have already tanked.

Think of it like a coach. You’d never send on a sub who hasn’t warmed up. Your next campaign should be warmed up and ready before the current one runs out of legs.

So even when things are going brilliantly, keep at least 10% of your ad spend (often 20%) aside for testing. Call it what it is: experimental budget. And before you launch anything, be clear on what you’re testing and how you’ll judge it.

There’s plenty to play with:

Area What you can test
The message Your positioning, the offer, the hook
The audience New segments, broad vs. tightly targeted
The format Static or video, how long, what style
Where it runs Different channels and placements
Where it lands The landing page, the form, the lead magnet

That last one gets overlooked all the time. A great ad sending people to a clunky page is money down the drain.

And with AI making it dirt cheap to churn out creative, good creative direction is worth more than ever. More ads isn’t the goal. Better tests are.

2. Sales: Don’t Just Keep Hammering What Worked Last Quarter

It’s so easy to find a market that’s working and just keep hitting it. But you only found that market because someone went out and tried it. Stop trying and you stop finding the next one.

Ask any business owner who’s successfully grown a company or exited after a few decades, and I guarantee they’ll name a market they wish they’d gone after sooner. That market could be sitting there waiting for you right now. You just haven’t tested it yet. So even when things are going well, you don’t actually know how good they could be.

Good sales leaders make sure their team is always prospecting into somewhere new. Not randomly, though. Every test is a chance to learn something about your product and your buyers, even when nothing closes.

Here’s what I mean. Say you try three new audiences and none of them bite. Annoying. But dig into the feedback and you might notice the same things appealed to all three. That common thread tells you exactly where to try next, and that might be the one that goes off. It’s like prospecting for gold: a dry hole still tells you which way the seam runs.

The same goes for how you sell. Why did people say yes? Why did they go quiet? What objections keep popping up? Feed that back into your scripts and proposals. Then share it with your marketing team so they can target better too.

Quick gut check: if your proposal document hasn’t changed in six months, you’re not learning from your sales conversations.

Remember the School Science Fair?

The first thing they drilled into you was sample size. Try something twice and you haven’t really learned anything. If it’s worth testing, it’s worth testing properly. Every business is different, but here are some rough starting points:

What you’re testing Give it at least
Ads or audiences Around 50 conversions per version, or two weeks
A new market or niche 20 to 30 real conversations with decision-makers, over two to three months
Sales scripts or proposals 10 to 20 calls or proposals
AI tools or workflows Two or three people using it for two to four weeks

And change one thing at a time. Otherwise you’ll never know what actually made the difference.

3. AI: This Is Where the Gap Is Opening Up

Here’s the thing most people miss with AI: it’s not a one-and-done project. What good looks like six months from now will be completely different to today.

And plenty of businesses are getting it wrong. PwC’s 2026 CEO Survey found only 12% of CEOs say AI has delivered both cost savings and revenue gains. More than half say they’ve seen no real financial benefit at all. The ones getting both? They’re two to three times more likely to have properly embedded AI across the business.

So experimenting with AI isn’t the problem. Not locking in what you learn is. You could spend a fortune getting set up this year and be behind again by next year.

By all means bring in experts to get you up to speed. Then here’s how you stay there:

  • Pick a couple of champions. Give them real time to learn and test things safely.
  • Have them report back. Regularly, to the whole team.
  • Roll things out carefully. Decide together what’s worth taking wider, then support it properly.
  • Let everyone chip in. Within your security rules, a team of 20 using AI every day is 20 chances a day to find a small win.

One warning. AI is only as good as what you feed it, so sort out your CRM and ad data first or you’ll just be testing on rubbish.

And when people help shape the change, they actually get behind it. Those who plan the fight don’t fight the plan.

The Bit Nobody Talks About: Confidence

Everyone in marketing, sales, and tech has a quiet worry that the industry is moving faster than they are. A culture of experimentation takes that worry away.

When your people feel like they’re keeping up, they back themselves. Clients notice it. Colleagues notice it. People are simply happier in their work. Two years with you feels like two years getting ahead, not two years falling behind. Keeping good people (and attracting new ones) gets a lot easier.

The Two Ditches

In fairness, there’s a reason some leaders roll their eyes at “experimenting.” They’ve seen it done badly. Most struggling businesses end up in one of two ditches:

Stuck Scattered Getting it right
The balance All core, no testing All testing, shaky core About 80/20 or 90/10
How they see it “Playing with shiny toys” Chasing every new idea Disciplined and deliberate
Where it ends Falling behind Nothing holding it up Steady progress

It’s not about doing more or less of it. It’s about getting the balance right.

The Catch-Up Trap

If you don’t build experimentation in, you end up in a frustrating loop. Fall behind, do a big push to catch up, fall behind again. Every push is harder to get people excited about, and the training never quite sticks.

The businesses that build it into every week, month, and quarter never need the big push. It just happens. And every month, they pull a little further ahead.

Want somewhere to start on Monday? Add a five-minute “Wins and Learns” slot to your next team meeting.

Self Diagnosis: Does Your Business Actually Experiment?

5 Quick Questions:

    • 🗹
      Do people in your business get recognized for trying things, even when it ends in a learn rather than a win?
    • 🗹
      Do you keep at least 10% of your marketing budget aside for testing?
    • 🗹
      Is your sales team always prospecting into at least one new market or niche?
    • 🗹
      Has your proposal document changed in the last six months?
    • 🗹
      Do you have a couple of AI champions with real time to learn and report back?

The Verdict:

  • 4 or 5 “Yes” answers: You’ve built an Experimentation Engine. Your team is learning every week, and your next campaign, market, and AI win is already warming up.
  • 0 to 3 “Yes” answers: You’re stuck in the Catch-Up Trap. Lessons are being learned twice, campaigns get replaced in a panic, and competitors who test properly are quietly pulling away.
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How to Build a Culture of Experimentation in Your Business - 111
Managing Director
With a career spanning consultancy roles across industries and global locations, Simon brings expertise in digital marketing, corporate strategy and finance. Originally from New Zealand, he holds degrees from the University of Otago and a Masters from L'Università Commerciale Luigi Bocconi.

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