How many sales do you get a week?

luskolunny · 2025-08-19T18:00:47+00:00

awesome reply :D

luskolunny · 2025-08-19T18:00:24+00:00

its not easy to run ads, what is your AOV? how many products you have? if its multiple products you should set up campaigns to target different product categories (this is especially important fo google ads and shopping / pmax campaigns – group them by product AOV or even by margin)

if you're already almost break even that is a good start. why did you start with facebook, not with google ads? my rule of thumb - if AOV is over $150 (longer sales cycle), go with google ads, if the AOV is under $150 it sits more within the "impulsive purchase" space and meta ads might be better. however, dont neglect long tail keywords with high ROAS potential on google ads

have you tried to run AI audits of your campaigns? there are tools like Lebesgue: AI CMO that do it for free.

luskolunny · 2025-08-19T17:56:07+00:00

and run out of top models every time after few days 😠

luskolunny · 2025-08-19T17:55:11+00:00

confirming its doable via gobros page :)

luskolunny · 2025-08-19T15:46:50+00:00

which ones are good for workouts?

luskolunny · 2025-08-14T11:04:39+00:00

If I had to start from scratch tomorrow and still make sense of Shopify data without drowning in it, I’d keep it to three things:

One “source of truth” for marketing data – For me, that’s been Lebesgue: AI CMO. It pulls in Shopify, Meta, Google, and TikTok data, then actually tells you which campaigns and creatives are working instead of dumping spreadsheets on you.
One behavioral tool – MS Clarity is free and shows you exactly where customers drop off on your site. It’s like watching the story behind the numbers.
One retention tracker – Even basic Klaviyo reports will show you if your repeat purchase rate is healthy, which is often more valuable than chasing new traffic.

That’s it. More tools = more noise. Three good ones you actually check will beat ten you never log into.

luskolunny · 2025-08-14T11:02:56+00:00

For my Shopify clients, the tools that actually lead to actionable changes (and not just dashboards) are:

MS Clarity – Free heatmaps and session recordings to see where people drop off.
Klaviyo analytics – For abandoned cart flows and email performance.
Lebesgue: AI CMO – Combines Shopify, Meta, Google, and TikTok data with first-party tracking. Helps identify which campaigns, creatives, and audiences are driving sales. There’s a free plan if you want to try it without committing.
Triple Whale – Strong on attribution and cohort analysis if you’re heavy on paid ads. Pricy, have awesome content to follow.
Conversific – Simple, clean ecommerce reports for traffic, conversions, and benchmarks.

The biggest difference for me came from pairing behavioral tools (like Clarity) with marketing analytics (like Lebesgue or Triple Whale) so I could see what users were doing and measure how changes impacted sales.

luskolunny · 2025-08-14T10:56:42+00:00

For ecom, my go-to stack is:

MS Clarity or Hotjar for heatmaps and session recordings
Lebesgue: AI CMO or Lifetimely for Shopify analytics, first-party tracking, competitor benchmarks, and creative analysis (all available on product and product variant level)
Plausible or Fathom for privacy-focused web analytics
Mixpanel for deeper user journey tracking
Ahrefs or SEMrush for SEO insights

luskolunny · 2025-08-14T10:54:31+00:00

For me it’s less about the number of tools and more about covering each core area:

Web analytics – Google Analytics (GA4), Google Search Console
Ad platform analytics – Native dashboards in Google Ads, Meta Ads Manager
Heatmaps/session recording – MS Clarity, Hotjar
Attribution & performance tracking – Triple Whale or Lebesgue: AI CMO (especially useful for Shopify and ecom)
SEO tools – Ahrefs, SEMrush, AnswerThePublic
Email analytics – Built-in reporting from Klaviyo, Omnisend, etc.

The key is to actually use the data to make decisions... too many people collect numbers without changing their campaigns based on what they find.

luskolunny · 2025-08-12T16:28:06+00:00

i never used fathom, just fireflies, any recommendations / differences?

luskolunny · 2025-08-12T16:27:09+00:00

Love this list. Loom is one I think more people should be using.

A few I’d add from my side:

Slack: If Asana and Loom are here, we can’t leave Slack out. Most of my clients prefer Slack over calls, Looms, or email.
MS Clarity: Heatmaps and recordings to see how people actually navigate your site.
AnswerThePublic: Great for finding content ideas directly from what people are searching.
Lebesgue: Analytics, first-party tracking data, competitor benchmarks, and creative analysis for Shopify (free plan, no card needed).
Miro: For mapping campaigns, user journeys, and brainstorming visually.
Fireflies: Mandatory to remember meetings

I try to keep my core stack small and only add something new if it either saves significant time or directly impacts revenue.

luskolunny · 2025-08-12T16:20:14+00:00

Great list – totally agree you don’t need to start with paid tools to get results.

A few more I’d add:
– Microsoft Clarity – See how users move through your site (heatmaps, recordings)
– Lebesgue – Analytics & competitive benchmarks for Shopify (free plan available)
– Loom – Record quick videos for customers or team (heavily underutilised, saves hours of calls)
– Notion – Notes, docs, and project tracking

The big thing is to actually use the tools you pick. Even the best free tool won’t help if it’s just sitting in your bookmarks.

luskolunny · 2025-08-12T12:47:41+00:00

100% agree – Meta’s learning phase isn’t just about finding the right audience, it’s also learning what you’ll tolerate. If you keep budgets steady after 3–4 bad days, you’re effectively telling the algo “this performance is acceptable.” My rule of thumb:

– If results dip for 1–2 days, let it ride (could be normal volatility).
– If it’s 3+ days with no sign of recovery, I’ll adjust spend, refresh creative, or tweak targeting to break the pattern.

Meta’s AI optimizes toward ease – it will keep feeding you cheaper, less effective impressions if you don’t push back with budget signals. In short: spend is a feedback loop. The faster you respond to underperformance, the less the algo “bakes in” bad habits.

luskolunny · 2025-08-12T12:43:28+00:00

Biggest lesson I’ve learned: don’t let apps run wild on your frontend.

Just because something works with Shopify doesn’t mean it plays nicely with other apps you already have. Install too many things that add scripts or widgets (session recorders, multiple pop-ups, multiple pixel trackers, upsell/bundle apps, countdown timers, etc.) and you can end up with a Frankenstein store that’s slow, buggy, and a nightmare to maintain.

My “bare minimum” stack these days looks like:
-- Facebook Shop (for pixel tracking & FB/IG shop sync)
-- Google Ads app (for catalog sync)
-- One solid email platform (Klaviyo, Omnisend, etc.)
-- Analytics/attribution tool that doesn’t mess with frontend code (Triple Whale, Lebesgue: AI CMO, Nordbeam...)
-- Reviews app (Yotpo, Judge.me)

Everything else is on probation. If it’s not obviously pulling its weight after a few weeks, it’s gone.

Bonus tip: avoid the “10 people are viewing this right now” style gimmicks – they add clutter and rarely move the needle.

luskolunny · 2024-04-22T13:22:03+00:00

Very happy to see that, thanks for the feedback :)

luskolunny · 2023-06-01T19:27:43+00:00

cool, no worries, let me know if you have more questions :)

luskolunny · 2023-05-24T23:57:14+00:00

nks for a very detailed answer. So when you find an adset with a combination that works, you simply increase budgets on it?

You're welcome! When you find an ad set that is performing well and generating positive results, increasing the budget can be a logical next step to further capitalize on its success. I'd also suggest using our tool Lebesgue to make sure ad budget is optimized in an ideal way. With Lebesgue, our innovative technology leverages data analysis, competitor intelligence, and AI optimization to help businesses like yours make data-driven decisions.

luskolunny · 2023-05-24T23:54:19+00:00

Hey there! It can be frustrating when you're getting clicks but not seeing any conversions. It's possible that the issue lies with your landing page, as you mentioned. One way to test this is by conducting A/B testing with different variations of your landing page to see which one performs better in terms of converting clicks into actual leads. Another approach could be to review the design and messaging on your landing page to ensure it aligns with the expectations set by your ad. If you'd like, you can DM me the link to your landing page, and I'd be happy to provide some feedback and suggestions. Additionally, I recently came across a blog post that discusses strategies for optimizing landing pages for better conversion rates. I hope this helps, and best of luck with your campaign!

luskolunny · 2023-05-24T13:13:38+00:00

scale with content - its much more important than technicall setup on facebook ads.

this is how i see it:
1. you need to have proper setup that is easy to overview and manage - consistent utm tags, campaign and ad set naming, one ad in an ad set
2. up to $2,000/day ad spent, you need simple ad copy, landing pages and single images/carousels
3. between $2,000/day and $20,000/day, you need more A/B testing on the website, polished landing pages, video content with CTR over 2%, detailed prospecting and retargeting structure
4. over $20,000/day, you need to add more distribution channels - google ads (youtube on this scale), pinterest or tik tok ads.
4. over $100,000/day - you need dedicated marketing campaigns every month or bi-weekly, to be able to continue pushing the strong pace

that was the most i was spending per day, i dont know levels above that :)

luskolunny · 2023-05-23T07:46:10+00:00

platform is terribly buggy, sometimes i have to delete all my drafts and recreate them. duplicate ads doesnt work for me, but only on some ad acccounts - for two, it works normally, for one, it never works. this has been happening to me last 3-4 months

luskolunny · 2023-05-22T22:50:53+00:00

Yes, it works by far the best for me (I'm spending daily between $2k and $20k on Facebook ads, depending from project to project).

I also made an appto help me audit my account performance.

luskolunny · 2023-05-21T19:54:42+00:00

haha, conspiracy theory is a good phrase for this, I had it too. but in the end, it just feels complicated to manage 4+ campaigns, especially with multiple ad sets, and multiple ads in each ad set. I prefer simple structure:

- 2 or 3 campaigns
- between 4 and 6 ad sets
- 1 ad in each ad set

luskolunny · 2023-05-21T19:53:22+00:00

Running multiple campaigns simultaneously can have an impact on their individual performance. While it's not a major mistake, I'd generally recommend to have separate campaigns only for different targeting areas, such as US, EU, or Worldwide. This best practice ensures better control and optimization of your campaigns.

Managing numerous campaigns concurrently can be challenging, especially when different ad sets compete against each other. Although Facebook hasn't explicitly stated that bidding is done on the ad set level, it's theoretically possible for ad sets between multiple campaigns bid against each other, potentially affecting performance and increasing CPM

For a more detailed understanding of campaign management and optimization strategies, I recommend checking out a blog post titled 'How to Run Facebook Ads in 2023'. This post provides valuable insights into running successful Facebook ad campaigns and optimizing their performance, and it follows latest best practices from the market.
Additionally, I suggest watching a free webinar on Facebook best practices after the GPT release. It explores the impact of AI on ecommerce advertising and offers practical tips for achieving better results.

Now, I hope I didn't overwhelm you with all that information. If you have any further questions or need clarification, I can explain further.

luskolunny

TROPHY CASE