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7 Tips to Build a Culture of Experimentation
IYKYK: it's a long play but well worth it! 🙌
I revamped my list of tips for fostering a culture of experimentation and it’s better than ever, check it out below! 👇
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This is such an important topic in the Conversion Rate Optimization community! It is typically a long play that can take time to fully become ingrained, but in my experience I can tell you, the results are well worth it! 🙌 How worth it, you ask?
You and I know how important data-driven decision-making is, especially when you’re floating research ideas. Folks outside of Growth might not always think with that filter, but some of the tips I have listed will honestly help with this.
Another payoff I’ve experienced is increased buy-in across the org. So yeah, I’d say it’s worth it. 😉
These tips are the best I’ve seen across the industry and make sure you don’t miss #7, it’s a banger! 7 Tips to Successfully Build a Culture of Experimentation
NEW CRO Health Assessment + Special Newsletter Offer
Want to know how well your company is doing at Conversion Rate Optimization (CRO)? My new CRO Health Assessment is for you. Use it as a starting point to understand gaps, opportunities, and successes.
Questions are related to knowledge, culture, resources, platforms, measurement, results, strategy, and project management.
Get a score at the end to see where you fall:
0-16: No heartbeat ☠️
17-33: Barely thumping 😖
34-49: Pretty healthy 💜
50-59: Strong 💪
60-66: Olympic level 🥇
There is an option for in-house teams to get the results in a slide deck presentation format with all of the questions and your responses for you to have and easily share with others.
Want me to review it on a call with you, too? Schedule a 15-minute session here.
If you missed last week’s newsletter, it featured the below quote and the Royal Caribbean Case Study we recently published. Royal Caribbean was looking to increase testing velocity and get some quick wins - see how we helped! 🛳️
A Must-Follow Growth Experts: FullStory
Something I talk about a lot is quantitative v. qualitative data and I recently read an article that does a great job delineating the difference between the two. Looking for a refresher or needing to understand data better? Can’t recommend it enough. Thank you FullStory! 🙌
Linked below is my re-post of the article on LinkedIn. ⬇️
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👋 Work with Me
Whenever you're ready there are 4 ways I can help you with optimizations and changing your business’ decision-making culture to make sure you’re an industry dominator:
Consulting & execution for large enterprise in-house teams for lead generation or eCommerce businesses in any industry, find out if we’re a fit by scheduling a 15-minute meeting with me or learning more about it
Training & workshops for any business suited to what you’re looking to accomplish, find out if I can help you by a 15-minute meeting with me or learning more about it
More resources by following me on LinkedIn or visiting my website for blog posts, trainings, and a pre-test checklist
Coffee chats to talk about whatever is on your mind, email me at [email protected] or DM me on LinkedIn