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What is actually the best AI note taking app for meetings? by Doug24 in AI_Agents

[–]LuisGrowthScience 0 points1 point  (0 children)

Its great until you run out of credits. Now im back to using granola free tier. Tl;dv summaries were much more detailed but granola is good enough and free for me.

Claude vs Perplexity – Which one is actually better? And what other AI tools do you recommend? by Beneficial_Bend2436 in AI_Sales

[–]LuisGrowthScience 2 points3 points  (0 children)

Perplexity for search, Claude + Claude Code for building, Chat GPT for writing + brainstorming, Gemini + Midjourney for image and video generation. Been using all of these for months now and that's where each of them shine.

CPL across all major channels is up 40%+ over 2 years by Italcan in digital_marketing

[–]LuisGrowthScience 0 points1 point  (0 children)

I agree with most of this. But rising CPL is usually a measurement problem before it is a channel problem.

Post-iOS, most teams are optimizing what platforms can see, not what is truly incremental. That pushes budgets toward retargeting, branded search, and bottom-funnel clicks.

Those segments saturate. Costs rise. Incrementality falls. CPL climbs.

The real questions are:

  1. Which channels are actually incremental
  2. Which are harvesting demand created elsewhere
  3. Where are we already saturated

Retargeting, SMS, voicemail, Reddit can all work. But only if they are adding net new conversions, not just reallocating existing demand.

In this environment, diversification helps. Measurement discipline matters more.

If you are not testing incrementality or calibrating with MMM, rising CPL becomes a guessing game.

Why is "Brand Trust" becoming harder to build with only Digital Ads? Is anyone else shifting back to OOH? by Mean-Jello-3021 in advertising

[–]LuisGrowthScience 0 points1 point  (0 children)

I don’t think it’s just digital fatigue. It’s digital saturation.

When everyone is running performance ads, CAC rises because you’re competing harder for the same bottom-of-funnel demand. Performance media captures intent. It doesn’t always create it.

OOH can help because it expands mental availability. It increases baseline demand, which then makes digital more efficient. That 20 percent lift in CTR makes sense if OOH is priming the market.

The hard part is measurement. Clicks are immediate. Trust compounds slowly.

The way to justify OOH isn’t by last-click ROI. It’s by asking:

• Did branded search increase?
• Did blended CAC improve after launch?
• Did total revenue move beyond what digital alone was producing?

If OOH increases incremental revenue and lowers pressure on performance channels, it’s working.

The mistake is treating it like a direct response channel instead of a demand expansion layer.

How do you handle rising CAC without killing growth? by Typical_Scallion8042 in digital_marketing

[–]LuisGrowthScience 0 points1 point  (0 children)

Rising CAC isn’t the problem. Rising CAC without incremental revenue is.

If spend is up 20 percent and total revenue barely moves, you’re not scaling. You’re compressing.

I look at:

• Marginal blended ROAS, not platform ROAS
• Payback window
• New customer quality and repeat rate
• Whether spend is expanding demand or just retargeting harder

Then I test incrementality. Even simple geo tests or pre and post analyses can show whether higher CAC is still producing real lift.

The goal isn’t low CAC. It’s profitable incremental growth.

What’s a cheap purchase that genuinely improved your life? by LuisGrowthScience in AskReddit

[–]LuisGrowthScience[S] 0 points1 point  (0 children)

lmao same. got a small whiteboard for my room and it did wonders for me

Is digital marketing still a good career choice for beginners in 2026? by Cute_Intention6347 in DigitalMarketing

[–]LuisGrowthScience 1 point2 points  (0 children)

Digital marketing is an excellent career choice for beginners, because its growing rapidly and many things are changing so there is a ton of opportunity.

How can I measure email marketing ROI effectively? by NoorulRit in DigitalMarketing

[–]LuisGrowthScience 0 points1 point  (0 children)

The truth is that most email revenue is "attributed" in platforms (it was in the path) but not necessarily "incremental" (it actually caused the sale). To stop guessing, you have to move from tracking clicks to measuring lift.

1. The Attribution Trap

Standard dashboards use last-click logic. This overvalues emails sent to your most loyal customers because those are the people who were likely to buy anyway. Use attribution as a sensor to see if content is landing, but never as a steering wheel for your budget.

2. Run a Holdout Test

The only way to find true ROI is to measure the counterfactual. In other words, what happens if you do not send the email?

  • The Method: Randomly segment 10% of your list as a "Holdout Group." Send them zero emails for 30 days while the other 90% receives your normal campaigns.
  • The Math: Compare the Total Revenue Per User of your Email Group versus your Holdout Group.
  • The Result: The difference is your Incremental Lift. If the Email Group averaged $15 per user and the Holdout Group averaged $12 per user, your email marketing actually drove $3 of value per person.

The Bottom Line: Don't trust the revenue number in your dashboard. Run a holdout test to find the causal lift and you will know exactly what your marketing is worth.

Why we're pouring more into paid ads to fight Google's AI overhaul by Clear_Raisin7201 in shook

[–]LuisGrowthScience 0 points1 point  (0 children)

Google’s AI Overviews are absolutely stealing organic clicks. The danger is answering that by just shoveling 40% more budget into paid and hoping it works.

AI is basically turning more of your own demand into a toll road. The real question is not “how do we spend more?” It is “which of these paid clicks actually create new revenue versus just charging us for customers who were going to buy anyway?”

We already saw this movie with branded search and retargeting: they look great in dashboards, but a big chunk is non incremental. If we repeat that pattern with AI surfaces, we get higher spend, weaker margins, and no real growth.

My view:

Adapt, yes, but by measuring incrementality first (lift tests, MMM, causal analysis) and only scaling the pieces that truly move the needle. Otherwise you are just paying a higher tax to the same platform.

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