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I didn’t just send emails I built opportunities. 🔥
5.6K emails sent.
91% open rate.
15 real opportunities.
Behind these numbers are countless tests, failures, improvements, and the consistency to keep going.
Results don’t happen by luck. They happen when strategy meets persistence. 🚀
#Contra #EmailMarketing #ColdEmail #LeadGeneration #B2BMarketing #EmailOutreach #BusinessGrowth #GrowthMarketing #SalesOutreach #MarketingResults #B2BGrowth
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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New home for my work🎉
Editorial typography, warm neutrals, a little purple. A space that brings together my projects, my approach to growth, and the person behind it.
Take a look → franvimarketing.com
Curious what you think 👀
Great concept
Apparently I'm top 5% on Contra now.
Ten years of making SaaS explainer videos and the animation is still the fastest part of the job. What eats the time is sitting with the product until I can say what it does in one sentence. A lot of the videos I get asked to fix skipped that bit, and you can tell.
Anyway. Nice to see the number go up. I've got space for a couple of projects this autumn if you're launching something.
Congratulations!!
🧠 GROWTH TIP 04/30: DON’T JUST RECOMMEND. EXPLAIN WHY NOW.
“Recommended for you” sounds personalized. But without context, it can still feel random.
For Luma, a wellness and meditation app, we changed one small part of the experience: instead of only telling users what to start, we explain why this reset makes sense right now.
💬 “Picked for a mentally heavy day.”
That one sentence turns a recommendation from a black box into a decision the user can understand and trust.
After working with Spotify, I keep coming back to the same product lesson: recommendation systems become much stronger when the next action feels relevant, not simply personalized.
🔎 1. READ THE SIGNAL
• Time of day
• Recent behavior
• Preferred session length
• What the user actually completes
The goal isn’t to collect more data. It’s to identify the few signals that can make the next action more useful.
🎯 2. MAKE ONE DECISION
Instead of opening Luma with an endless meditation library, the app leads with one clear recommendation:
YOUR RESET TONIGHT
Clear the noise.
Users can still explore other sessions, but the product makes the first decision easier.
🧠 3. EXPLAIN WHY
Don’t stop at:
“Recommended for you.”
Add the reason:
“Picked for a mentally heavy day.”
The framework becomes:
Signal → Recommendation → Reason → Action
Not:
Here’s something you might like.
But:
Here’s what may help right now, and why.
📈 RESULT
For this product concept, explained personalization is designed to drive:
+24% session starts
+31% faster decision time
+18% repeat sessions
The bigger lesson:
🔥 Personalization without a reason can feel random. Don’t just recommend. Explain why now.
04/30 complete. 26 growth insights left.
If these breakdowns are useful, follow the series. I’m turning 30 mobile product concepts into 30 practical growth lessons. And if this one gave you an idea for your own product, leave a like. It helps me see which product and growth problems are worth breaking down next.
👉 BOOK A MOBILE APP STRATEGY SESSION
https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone
I help mobile products improve activation, retention, trust, conversion, and personalization.
#MobileAppDesign #ProductDesign #GrowthDesign #GrowthUX #UXDesign #UIDesign #WellnessApp #MeditationApp #MentalHealthApp #Personalization #RecommendationSystem #Retention #Activation #ProductStrategy #MobileUX #MobileAppUX #ConsumerApp #WellnessDesign #AsolDesign #Spotify
picked for a mentally heavy day is a really good line
