Conversion copy and persuasion architecture
Value propositions, outcome-led messaging, headlines, offers, unique mechanisms, objection handling, urgency, guarantees, prompts, and CTA clarity.
42%
Best tweets about Conversion Rate Optimization
50 Best Tweets About Conversion Rate Optimization (2026)
Explore the best tweets about conversion rate optimization, featuring research, experiments, landing pages, copy, funnels, analytics, and test results.
CRO research, hypotheses, experiments, copy, design, funnels, analytics, statistical rigor, and measurable conversion results.
- Creators
- 38
- Updated
Original Xholic analysis
What 50 top Conversion Rate Optimization posts reveal
CRO discussion emphasizes matching landing pages to traffic intent, reducing friction, building trust, and evaluating outcomes beyond conversion rate alone. A notable disagreement concerns whether conventional on-site A/B tests adequately capture paid-media economics.
- Dominant tone
- Positive
- Median score
- 6.87
- Leading format
- Case Study
- Recent posts
- 34%
72% of posts
All-time engagement
46% of posts
Published in 90 days
Conversation map
The themes creators return to
UX, design, and friction reduction
Mobile-first layouts, speed, visual hierarchy, navigation, product discovery, checkout usability, page simplification, and reducing cognitive load.
40%
Experimentation and statistical rigor
Hypothesis-led testing, test design, sample-size constraints, control-versus-variant learning, statistical significance, test velocity, and challenging assumptions.
30%
Measurement, profit metrics, and incrementality
Evaluating RPV, PPV, AOV, CAC, LTV, new-customer outcomes, conversion lift, attribution limitations, and paid-media effects beyond on-site CVR.
28%
Funnel diagnostics and user behavior
Finding drop-offs with funnel analysis, session recordings, heatmaps, scroll depth, device and geo segmentation, and journey-level diagnosis.
26%
Trust and social proof
Using reviews, UGC, testimonials, ratings, experts, badges, guarantees, credibility signals, and proof placement to reduce perceived risk.
26%
Landing page strategy and traffic-message match
Selecting page formats and aligning headlines, copy, and funnel stages to traffic source, keyword intent, ad angle, audience temperature, and use case.
16%
Offer, pricing, and AOV optimization
Optimizing pricing, bundles, subscriptions, guarantees, shipping thresholds, cart architecture, pre-purchase and post-purchase upsells, and repeat purchase.
16%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 21
- Median reposts
- 1
- Median replies
- 4
- Median views
- 1.9K
Posts with media make up 48% of this collection. Their median all-time score is 7.17, compared with 6.02 for text-only posts.
Format mix
- Case Study 46% · score 6.78
- Tutorial 26% · score 4.75
- List 14% · score 27.9
- Opinion 12% · score 8.00
Consensus and debate
Where creators agree, and where they do not
Shared view
Match page, traffic, and intent
Posts recommend aligning landing-page format, headline, and copy with the ad angle, keyword intent, funnel stage, and visitor temperature rather than using one generic destination for all traffic.
Shared view
Clarity, proof, and friction reduction recur
Contributors commonly recommend clearer value propositions and CTAs, visible social proof, easier product discovery, and reduced checkout or cognitive friction.
Shared view
Evaluate value beyond CVR
Several posts argue for considering revenue or profit per visitor, AOV, repeat purchase, and customer quality alongside conversion rate.
Shared view
Diagnose behavior before selecting changes
Funnel analysis, scroll depth, segmentation, recordings, and customer research are presented as inputs for identifying likely barriers before choosing a test.
Open debate
A/B testing’s role in paid funnels
One view recommends ongoing A/B testing and formal splits when traffic permits; another reports that on-site test winners can coincide with worse paid-media economics and advocates testing through ad accounts.
Open debate
Test velocity versus isolated learning
One recap recommends stacking an additional change per variant to learn faster, while another example warns that an entire-PDP redesign changed too much at once to yield a clear lesson.
Open debate
Pop-ups are contested
One case reports lower CPMs and flat CPA after removing pop-ups while rebuilding signup volume with quizzes; another advocates optimizing pop-up offers and data capture.
What performs
Patterns behind standout posts
Top engagement outliers addressed landing-page strategy
The two highest-scoring outliers addressed page formats and message matching for demand generation and Google search, with all-time scores of 133 and 130.01.
Lists had the highest format median score
List posts had a median all-time score of 27.923, compared with 6.775 for case studies and 4.749 for tutorials.
Media posts had a higher median score
Posts with media had a 7.17 median all-time score, versus 6.02 for text posts. Media appeared in 24 of the 50 posts.
Measurement had a lower theme median than experimentation
The experimentation and statistical-rigor theme had a 7.403 median all-time score, while measurement, profit metrics, and incrementality had a 3.1 median.
Statistical standouts
- View standout post 1 Score 133.0 · 19.36× median
- View standout post 2 Score 130.0 · 18.92× median
- View standout post 3 Score 119.9 · 17.45× median
- View standout post 4 Score 66.9 · 9.74× median
- View standout post 5 Score 57.7 · 8.4× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Andrei Breha | CRO
@andreibreha
2 posts
-
2. Jackson Blackledge
@blvckledge
2 posts
-
3. Cody Schneider
@codyschneider
2 posts
-
4. Connor Martin
@connor_m
2 posts
-
5. Corey Haines
@coreyhainesco
2 posts
-
6. Alex Fedotoff
@FedotOff90
2 posts
Jackson Blackledge had the highest top-voice median score
Jackson Blackledge’s two posts had a 131.51 median all-time score and focused on landing-page formats and search-intent matching.
Connor Martin’s posts focused on testing economics
Connor Martin’s two posts had a 62.3 median all-time score and covered pop-ups and the evaluation of A/B tests through paid-media outcomes.
The creator set was broad
The evidence set contains 38 creators, and the top five creators account for 20% of placements.
Since the previous snapshot
What changed since Aug 12, 2026
- 80% of the selected posts remained.
- The creator count changed by -1.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Conversion Rate Optimization tweets
Top Conversion Rate Optimization tweets from 38 creators
Ranked 01–50
- 01
@blvckledge ·
for those looking to crack cold traffic on demand gen many of our brands are spending $10k-$20k/day rn on these funnels best performing formats i’ve seen lately: VSL/SALES PAGE this is a direct response page built to sell a product, either through a video or long-form copy. it covers the problem, the mechanism behind the product, the benefits, the proof, and the offer, all in one place. super common in health, supplements, pet example headlines: - "the [product] that finally fixed [problem] for [audience]" - "the 7-second calming touch method that solves [problem]" best to use for youtube ads where your creatives either… expose a hidden problem (“do you know that your pillow is secretly sabotaging your skin?”) or show a pain point/transformation (“my skin got so much smoother after 5 days of sleeping in this pillow.”) a few important notes on execution: > match the page angle to the creative > traffic here is cold, so layer in proof everywhere you can: testimonials, studies, experts, media, celeb clips > optimize for mobile first (a lot of demand gen traffic comes from mobile) THIRD-PARTY COMPARISON PAGES a ranked list of brands in your category that reads like an independent review. example headlines: “top 7 [product type] for [audience] in 2026” “we tested the 5 most popular [products]. here’s what won” best for image ads with a “review” angle on google discover placement a few things to get right on the page: > explain how you made the list before you get into the rankings. "we spoke to 10 experts in this category and tested each product over 30 days" > write in a neutral tone throughout > every product gets real pros listed, including the lower-ranked ones. > cons should be honest and specific, helping the reader understand who each product fits and who it doesn't. ADVERTORIALS/LISTICLES a long-form piece of content written to look and read like an editorial article or blog post. it educates the reader on a problem or topic first then at the right time, introduces a product as the solution example headlines: “why most [audience] stay stuck with [problem]” “11 reasons why the [product] is taking the dental world by storm in 2026” “carnivore diet explained. what it is and whether it actually works” works really well with native-style image ads on google discover. QUIZ an interactive page that asks a series of questions before recommending a product as the fix it collects information about their goals, problems, preferences, or situation, etc then delivers a personalized result that frames the product as the next step. example headlines: "find the best [product] for your skin in 60 seconds" "take this 2-minute quiz to discover your ideal [product]" we often run this for youtube ads (in-stream and shorts) works well for hair-loss, skincare, supplements a few things to get right on the page: > make the first questions easy to answer. don't create friction or make people think too hard (gender, age range, etc) > ask questions that genuinely help personalize the recommendation > explain why the recommended product fits their answers. > watch where people drop off and keep testing new questions so those are the formats we’re using to scale past $500k/mo in demand gen spend they're pretty much all you need to rip on this channel. a lot of brands struggle to crack demand gen because they don’t have the right lps they either send traffic to a pdp, which doesn’t work 90% of the time… or they use a page that doesn't match the creative angle at all. highly recommend you go through your current funnel, see which pages you can add to improve it, and test them.
- 02
@blvckledge ·
our head of google ads @filippocvroli just spoke to a room full of ecom operators about the top google strategies in 2026. the main points from the talk: 1. landing pages on google are the equivalent of creatives on meta they’re one of the biggest (if not the biggest) factors in your performance. and the same way you’d test creatives on meta… you should be testing landing page variations, angles, and formats on google to: - lower acquisition costs - improve conversion rates - scale to new levels of spend - capture new traffic sources from different customer avatars, problems, and use cases 2. build different pages around keyword intent buyers can search for the same product in different ways (e.g., “magnesium for sleep” & “magnesium for anxiety”) you should have dedicated pages for those different use cases, avatars, and angles. at minimum, match the headline and copy to the keywords. 3. go full-funnel with search campaigns unlike what many people think, you can reach people at every stage of the funnel with google search. from complete cold traffic to people searching for your brand name to buy tof traffic → informational searches mof traffic → comparison & competitor searches bof traffic → product category & branded searches the key is… you need to match the right landing page to each keyword type. 4. top landing page formats to use for google search > advertorials → informational searches (“why am i always bloated after meals” > top x solutions pages → informational searches (“best treatment for bloating) > top x products pages → comparison searches (“best electric toothbrushes”) > us vs them pages → competitor searches (“athletic greens alternatives”) 5. shopping traffic doesn't always belong on a PDP but in many cases, a different page format can give you a big lift in conversion rates and aov. we’ve had a lot of success leading with the problem, desire, or brand story (basically following the structure of a sales page but much shorter in length) 6. google discover is one of the most underrated placements on google right now. this is basically google's version of a news feed where ppl scroll to read articles. it’s been one of our top prospecting strategies driving 6 figures/mo on cold traffic for a lot of accounts. almost any brand can make it work but almost no one's running it properly.
- 03
@daviefogarty ·
If I had to take a Shopify store from $500K to $2M without increasing your % spent on ads, here's exactly what I'd do: 1. STOP OBSESSING OVER TRAFFIC. Brands pump money into ads and chase new channels. But if your site doesn't convert, you're pouring more water into a bucket with holes. Fix the holes first. 2. STOP MEASURING SUCCESS BY CONVERSION RATE ALONE. > Conversion rate tells you how many visitors buy > AOV tells you how much they spend when they do > Combine them and you get RPV (revenue per visitor) Subtract your costs, and you're left with PPV (profit per visitor), which is the metric that actually matters. 3. FIX YOUR OFFER BEFORE ANYTHING ELSE. The biggest leverage point in CRO is your offer - when I say “offer,” I mean the price, the bundles, the upsells, the guarantee, and the way you position the value. 4. TEST YOUR PRICE FIRST. If you sell a product for $50 with a 2% conversion rate, that's 100 orders per 5000 visitors. Raise the price to $55, and the conversion rate stays the same. That's a ~10% lift in revenue and far more profit because product cost becomes a smaller percentage of revenue. 5. STACK PRE-PURCHASE AND POST-PURCHASE UPSELLS ON TOP. Pre-purchase pop-ups work well. Post-purchase upsells on the thank you page work better because the order is already complete. Now it's about extracting as much value as possible from your customer. 6. ONCE THE OFFER IS DIALLED, START BUILDING TRUST. Trust is the next layer of CRO, and the fastest way to build it is by tackling the exact objections in your buyer's head before they ever reach checkout. 7. MINE THOSE OBJECTIONS FROM AMAZON, TIKTOK, AND REDDIT. Go digging in 1-star Amazon reviews, TikTok comments, and Reddit threads. That's where you'll see people's fears. Bake those objections into your product descriptions, ad copy, and pinned comments. 8. USE “AT FIRST I THOUGHT [X], BUT ACTUALLY [Y]” REVIEWS TO ANSWER THEM. The best reviews speak directly to your buyer's objections. “At first I thought the bands would rip, but they've lasted months of daily use.” Reviews like this show new customers that others had the same fear, and they were wrong. 9. STRIP YOUR HOMEPAGE BACK TO CLARITY, VALUE, AND DIRECTION. Feature your key products front and centre, add a banner that communicates your main offer, and give your customers one clear action like “shop now.” 10. KILL FRICTION IN THE CART AND CHECKOUT. Use a slide-out drawer cart so customers can go straight to checkout, add every payment option, and auto-detect currency and language so they aren't doing the math themselves. On their own, each feels small, but together the gains compound. Suddenly, you're two to three times better, because they're all multiplying together.
- 04
@connor_m ·
It's hilarious nobody talks about the impact of site pop-ups on advertising costs. On 4/4 of my brands, when we've removed pop-ups and anything else that impacts time on site, our CPMs and CPAs drop. "but but but look at how it impacts your data collection and email flows long term" Completely unaffected. We simply measured the volume of signups we had with popups, and looked at ways to rebuild that volume somewhere else, one example is a simple quiz funnel, we segment off a fraction of ad spend to maintain the volume from here, I expected these campaigns to run at a loss, they don't, and we have a flow of better informed sign-ups that increased the revenue per data collection by 15%. That's before even talking about how it naturally improves open/click rates and deliverability. In the last 12 months our CPMs have reduced by 13%, our CPA is flat, we've spent 180% more on Meta. When you read things on X, instantly assume it's a paid partnership until you're proved otherwise.
- 05
@connor_m ·
Nobodies ready for the conversation that A/B Testing apps cause a massive negative impact for paid traffic spend. An extremely large benefit of having multiple brands at scale is the ability to analyse the impact of otherwise 'harmless' site or funnel changes. Below is our NCPA, anytime we have a AB test on rCPMs go up at least 20% OR NCPA goes up 10-30%, or in the below example, as much as 80% increase in NCPA. (One of the below tests was a 'winner' with 30% increase in PPS) Take a guess when AB tests are live or stopped, each small climb in NCPA is when a AB test starts, the sharp reduction is when a AB test is stopped, or in today's case, when AB testing apps are completely uninstalled. "Oh that's simply because it's a failed AB Test" Wrong. AB Testing is inherently flawed from the beginning for DTC brands, as your PPS or RPS is the main tracked net gain. However this isn't the goal for DTC brands, as your paid traffic makes up over 50% of your traffic. The main itemised metrics for growth for DTC brands are NCPA, CPMs, Account Center costs, etc etc. Next time you run a large AB Test, track these over PPS and RPS. What you'll see is when you accompany the 'increase' in RPS on site, you'll 9/10 times see an unnormally high increase in above metrics. Or, simply run a double fresh URL AB test directly through Meta, the AB test that you thought was 50%+ in RPS, will end up failing in Meta. The reverse happens too, that AB test you thought would be a massive winner but failed? Could win via Meta directly. This isn't a direct attack on AB Testing or CRO agencies, and isn't something to ridicule me for below, our sites get over 7m human sessions a month, I have vigorously tested this, I clearly WANT AB testing to work, they are my stores, we're bootstrapped, wins from an AB test literally go into my pocket. CRO agencies would see a massive growth actually agreeing with this, and working with brands to test website changes the way they should be tested, directly through ad accounts, and acknowledging that most agencies do not know how to calculate RPS or PPS, which should include CACs. Other things you can do to confirm this isn't BS - - After a winning AB Test, set the test live on site, and AB test it again against the 'old' site. - Run a test where the A and B are both the exact same site. - Try running a three-way test, A (original), B (test), C (original), I can guarantee you, A and C do not end up the same after significance. This is not app related, we've used all of them. In fact, the next app to enable AB Testing via ad accounts, i'll use it, great app idea, i'll fund it for whoever wants to create this.
- 06
@SarahLevinger ·
Sometimes customers buy. Sometimes they don’t. (Which is kind of annoying when you’ve spent six weeks building 60+ ads, 4 listicles, and 20 email flows… 😅) Why does this happen? Why do two visitors from seemingly identical traffic sources, landing on the same page, looking at the same product, behave so differently? According to behavioral science, it almost always comes down to one of three things… BJ Fogg, a renowned behavioral scientist at Stanford University, spent 20 years studying what actually causes humans to take action. He found that every single behavior (from buying an $8 latte to signing a mortgage) is the product of three factors converging at the same moment: 1. Motivation (I want to fix my problem) 2. Ability (I’m capable of fixing my problem) 3. Prompt (I feel a nudge to fix my problem *right this second*) All three of these things have to show up *together* for a behavior to happen. If even one is missing, the behavior doesn’t happen at all. Fogg wrote this behavior equation as a formula: B = MAP B = behavior M = motivation A = ability P = prompt Knowing which piece of the equation you’re experiencing can help you solve all sorts of things - from CPA to CTR to CVR: 🚦 High ability + a clear prompt, but low motivation → no behavior. In this situation, the customer *could* do what you want them to, they were *told* to do it, they just didn’t *want* to do it badly enough. 🚦 High motivation + a clear prompt, but low ability → no behavior. Here, the customer wanted to do what you asked, they were nudged to do something about it, but something in the experience was too hard, too confusing, or too risky to push through. 🚦 High motivation + high ability, but no prompt → no behavior. In this situation the customer was ready and capable of doing what you wanted. You just never asked them to do anything about it. (This is why most CRO advice is pretty much useless and why a lot of creative “strategies” fail after about 6 weeks. 😬 you have have to know *which* lever is broken before you start pulling.) Here’s how to diagnose this for your brand: Say you launch a gorgeous landing page. Traffic is solid. Product is genuinely great. But your conversion rate is super low. Before you blow up the whole funnel, run it through the model: 😐 Low Motivation → Do they feel a real emotional pull toward your offer, or are you just describing what you think is great? If your page is informative but not *emotional*, you’ve basically built a brochure, not an offer. Beautiful design ≠ desire. 🫨 Low Ability → Are you making it too hard to see how they’ll get the result? This is a sneakier issue than people think. Ability isn’t just “is the checkout fast.” It’s also: - Too many SKUs to choose from - An overwhelming quiz - A vague value prop - A price that requires too much justification - A return policy that signals risk. Every cognitive tax you charge eats into ability. (Behavioral scientists call this “friction,” and it builds up way faster than you’d think.) 😵💫 Weak Prompt → Did you actually tell them what to do, when to do it, and what happens next? A prompt isn’t just a CTA button, it’s the clock that tells them why they should do something right *now*. Buried CTAs, vague urgency (“Shop now!” I’m looking at you), no clear next step after add-to-cart…these are all weak prompts. The best prompts answer three questions in order: what do I do, what happens after I do it, and what happens after *that*? ( 🤩 I freaking LOVE the Fogg model because instead of staring at your analytics dashboard at 11pm wondering why your CVR is down three months in a row, you can systematically rule out one of these three things. Genius.) TLDR: when something underperforms, ask yourself the three Fogg questions: - Did I make them *want* it? (Motivation) - Did I make it *easy*? (Ability) - Did I tell them *exactly* what to do next? (Prompt) If you can’t answer yes to all three, you’ve found your problem.
- 07
@codyplof ·
I'm 3/3 on CRO tests that I've done end to end in Claude. I hate to sound like AI, but it's not just the speed of dev I'm excited about. It's the direction. For the first time one person can run a really good CRO program. Sure being able to ship design and dev as a non creative, non-technical person is cool. But what's arguably more valuable is the strategy. A lot of CRO programs are just guessing. I've got a CRO skill trained on every test we've ever ran, our heatmap data, every customer and user survey we've ever ran, all of our reviews and outersignal persona data, our ga4 data, and everything i know about CRO and more. Normally it would take a team of a few people tp just do all of this analysis and plan tests. I'm able to do it nearly instantly. I've hired someone to take this over. But this is exciting.
- 08
@namyakhann ·
6 landing page design rules that move conversion: 1. Mobile first: 60-80% of traffic is on phones (design for thumbs) 2. One CTA per section: Multiple CTAs = no CTAs. 3. White space = trust. 80-100px between sections 4. Speed kills. Every second of load time = 7% drop in conversion 5. Scroll-triggered micro-animations. NEVER autoplay videos 6. Sticky CTA on mobile. Fixed bottom bar = always converting
Watch video
- 09
@therahulissar ·
Split testing one of our quiz funnels and have some interesting data to report on. Quiz 1: → 16 questions long → Same ads and spend → 17% completion rate → 2.1% conversion rate Quiz 2: → 27 questions long → Same ads and spend → 27.5% completion rate → 4.1% conversion rate Largest drop off rate is actually just before the checkout area, looking to clean that up but finding it very interesting that the longer the quiz flow the higher the conversion rate. Potential theory that the customers are more qualified and have a high reason to complete the quiz because the questions get more in-depth as the quiz progresses from 15 questions onwards. I'll be fixing drop off rate across both quizzes and then running the last 2 week test before closing it.
- 10
@codyschneider ·
the most slept-on thing for ecom right now is to build collection pages at scale for your business if you have a ton of SKUs, this is a great strategy download all your SKUs and put them into Claude code connect to the Ahrefs MCP and ask: What collection pages should I build based on my product catalog then use the Shopify API to build those collection pages the collection pages track the success of those pages as a campaign in Graphed .com to improve conversion rate optimization on those pages, move the best sellers to the top-left corner to get these indexed, make a sitemap specific to those collection pages. Submit sitemaps that each have only 100 pages per sitemap page Bulk submit the entire sitemap simultaneously then you can also use the Web Indexing API to get those seen, or do a drip ping to those pages
- 11
@markbuildsbrand ·
here's a 'real world' reminder to always challenge your assumptions in marketing: i was recently working with an info offer and helping them dial in a new call funnel. after running a good amount of tests, there were three crazy conclusions that we came to: 1) inbounds convert better than outbounds. the inbound direct to closer calls had a substantially higher booked call to close rate, better show rate, and better live call to close rate. this is weird, bc generally speaking, direct to closer inbounds on cold traffic typically have higher no show rates than outbounds that're speaking to a setter before the closing call. Interesting... but we keep moving. 2) paid converts better than organic this is where I'll lose most ppl bc their brain couldn't possibly compute that a paid cold traffic lead converts at a HIGHER rate than an organic lead... yet that was the case. it's data. and data don't care about yo feelings. the paid leads also had a higher show rate and close rate than org leads. 3) "boosting" organic posts sounds great in practice, sucks in reality. Gary Vee would probably kill me if he read this... but we tested around 30 creatives for this offer. 95% of them were simply boosted organic posts. No CTA, nothing. And to be fair, they got great soft metrics. HOWEVER. When it came to actually booking calls, the ONLY ads that booked calls that were qualified and actually closed were the ads that were WRITTEN to be ads. Not simply organic content thrown in the ads manager. anyways... the reason I share this is bc these three conclusions are generally against conventional wisdom in internet marketing surrounding call funnels. The lesson here is simple: "rules" don't exist, and everything is contextual. which means if you don't have cognitive flexibility to be able to challenge your assumptions and let go of your limiting beliefs, you ain't gonna be printing brutha. challenge your assumptions and lower your ego. your bank acct will thank you for it. after all... we're all pretty fkn retarded. Let's not act like we're not. run more ads.
- 12
@andreibreha ·
CRO test that printed money: Collection page had zero trust signals. Just products and prices. Hypothesis: Add free shipping badge + social proof card inside the grid itself. Test duration: 2 weeks → +$124,064/month Control: 914 orders, $218,437 Variant: 1,060 orders, $254,615 100% Statistical Significance Most brands will read this, nod their heads, and change nothing. Don't be like most brands. The collection page is the ideal spot on the website where you have free real estate to build trust. Trust means more sales.
- 13
@1ajaay ·
RPV maximisation isn't about one clever trick on your product page. It's about systematically increasing the value you extract from every visitor who hits your site. You need to pull three levers simultaneously: conversion rate, AOV, and repeat purchase frequency. Your average ecom founder will obsess over conversion rate and ignore the other two which is detrimental and where you lose money. Start with your upsell architecture. Pre-purchase upsells on the product page (bundles, quantity breaks, subscribe & save) should be frictionless. Post-purchase upsells in the thank you flow or checkout should feel like a natural next step rather than a hard sell. You want 15-25% of customers taking at least one upsell. Your cart should actively work to increase AOV. Free shipping thresholds, progress bars, last-minute add-ons positioned as "complete your order" items. This doesn't mean just throwing products at people, make the products you show dynamic and contextual to what they're already buying. CVR improvements come from clarity & removing friction: - Simplify your navigation or just remove it entirely - Add in a presell page to educate before presenting your offer - Make your value prop and benefits clear in your PDP image carousel - Handle objections - Remove unnecessary form fields at checkout - Show trust signals where they actually matter (payment page, not scattered everywhere) Every element should contribute to the conversion Repeat purchase is slower to measure, but it's the most profitable lever. Positioning your subscription offer correctly, email flows that actually add value (usage tips, restocking reminders, complementary products) beat generic promotional blasts. SMS for time-sensitive offers only. You can't optimise what you don't measure. Track RPV weekly, break it down by traffic source, and you'll see exactly where the gaps are. Most brands will get stuck at low scale because they only optimise one piece of the pie.
- 14
@FedotOff90 ·
Took our worst-converting product page from last quarter and our best-converting one and dropped both into Claude. Asked it to extract every structural difference. Headline pattern, above-the-fold density, social proof placement, CTA frequency, word count by section, image ratio. Got back a 14-point delta in under a minute. Then asked it to rewrite the worst page using the structural skeleton of the best page, keeping all the original product claims and brand voice intact. Pasted the rewrite into Replo. Pushed it live as a 50/50 split test against the original. Conversion rate on the rewritten version is 28% higher 8 days in. The best landing page we've ever built was sitting in our own shop the whole time. We just couldn't see the pattern until we made the model do the seeing for us.
- 15
@dont_be_average ·
I've tested thousands of landing pages, here are the elements you MUST have to increase conversions (save this): HEADLINE: Who + Specific Result + Timeframe SUBHEADLINE: Supports headline, adds specificity or mechanism tease HERO: Image or video showing result/transformation CTA BUTTON #1: Above fold TRUST BAR: Logos, ratings, "X customers" PROBLEM SECTION: Name the pain clearly AGITATION: Make it visceral. Cost of inaction. UNIQUE MECHANISM: Why everything else failed, why this works BENEFIT STACK: Features → Benefits → Deeper Benefits SOCIAL PROOF: Real screenshots, names, specific results OFFER STACK: Everything included + dollar values PRICE REVEAL: After value is established GUARANTEE: Zero risk framing QUALIFICATION: Who it's for / not for FAQ: Top 5 objections answered directly FINAL CTA BLOCK: Restate promise + guarantee + action P.S. LINE: Last hook, urgency, or restate guarantee
- 16
@alecsandrull ·
most ecom operators have never looked at their scroll depth data. this is the single most overlooked metric in conversion optimisation. here's why it matters: you have a product page with 6 sections. your best conversion element - the reviews section - is section 5. but scroll depth data shows that 68% of visitors stop scrolling at section 2. meaning: 68% of your traffic never sees your strongest selling point. you didn't have a conversion problem. you had an architecture problem. the fix is restructuring your page by persuasion priority: section 1: hero — headline, key image, star rating, CTA. section 2: social proof — reviews, "X sold", UGC. section 3: objection handling — FAQ, guarantee, comparisons. section 4: benefit stack — not features. outcomes. section 5: deeper content — story, brand, process. section 6: final CTA with urgency. your highest-converting content goes at the TOP. not the bottom. because the bottom doesn't exist for most visitors. install a free heatmap tool like hotjar or microsoft clarity. look at where people stop scrolling on your page. if your best content is below that line your page is working against itself. reorganise by persuasion priority. it costs nothing and changes everything.
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@williamkast_ ·
Your ad account structure should be boring. 1 CBO for testing + scaling, 1 promo campaign, an optional retargeting campaign. That's my entire setup. I see brands come to me with accounts that look like a flowchart from NASA. 6 campaigns, 30 ad sets, custom audiences layered on top of interests, bid caps on some, lowest cost on others. And their results are worse than a simple broad CBO. The algorithm has gotten good at finding the right people. Like really good. That part of the job is mostly automated now. What it can't do is figure out the right message. That's on you. So every hour you spend optimizing campaign structure is an hour not spent on creative strategy, customer research, or funnel optimization. Those three things move the needle 10x more than whether you're running ABO or CBO. The brands I've scaled to $30k+ days all had boring structures. What wasn't boring was their creative strategy. Their customer research. Their awareness funnel. Their landing funnel strategy. That's where the complexity should live. Keep the account simple. Let the creative do the targeting. Stop making your ad account complicated. Start making your creative strategy sophisticated. That's the difference between a brand that scales and one that gets stuck.
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@M__Operators ·
Masterclass on CRO What to test, when + why velocity beats certainty. @couuor’s worst test ever $39/mo vs. $88/qtr Same ads, split traffic $88 converted at 0% @codyplof’s most painful test Redesigned entire PDP Changed too much at once Lost, with no answers
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@DmytroKrasun ·
I am lucky to have @coreyhainesco using ScreenshotOne for one of his projects. When he tried to upgrade, my dashboard UI/UX was so confusing that he couldn't figure it out. He then sent me a video with suggestions on how to improve the upgrade flow: 1. Add a visible banner or alert in the sidebar or at the top prompting users to upgrade. 2. Add more links that lead to the upgrade page. 3. Highlight the recommended plan on the billing page. 4. Emphasize the Billing page in the sidebar (I added a red pulsing dot to signal there is something to check). And many more. I implemented all of his suggestions, and I am super grateful. If you want the same suggestions for your project, check out his https://t.co/GCvS73hR50, especially the "Paywall and Upgrade Screen CRO" skill.
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@neilpatel ·
Most bloated pages aren't a design problem. They're a committee problem. Every team added their widget and nobody ever removed anything. Now visitors bounce before they convert. The filter is simple: does this element help the visitor take the one action you want? If not, it goes. #CRO #UXDesign #ContentStrategy #DigitalMarketing #LandingPage
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@oliverkenyon ·
Here’s how I’d CRO-optimise @GhostLifestyle 👇 1/ Homepage: sell the outcome, not the flavour Before: • Hero focused heavily on flavour launch • Product image doing most of the work • Value proposition unclear After: • Clear performance-driven headline: Fuel your body. Power your performance. • Immediate social proof from thousands of customers • Supporting benefit stack reinforcing outcomes • Clean hierarchy leading to Shop Bestsellers CRO principle: People buy results, not flavours. 2/ PDP: make the decision faster Before: • Reviews visible but not dominant • Product benefits buried in text • Variant selection visually weak After: • Strong social proof anchored directly under the hero • Scannable benefit bullets highlighting protein content and digestibility • Clean flavour selector improving usability • Subscription option clearly framed as the better value CRO principle: Reduce cognitive load around the buying decision. 3/ Cart: increase AOV without friction Before: • Upsells cluttered and visually noisy • Add-to-cart buttons competing with colour options • Checkout CTA lacking hierarchy After: • Free-shipping progress bar reinforcing momentum • Cleaner cross-sell structure • Savings surfaced clearly • Strong Checkout CTA supported by payment trust badges CRO principle: The cart should guide the next action, not create more decisions. This isn’t about making the page “look better.” It’s about: • clearer hierarchy • stronger value framing • fewer decisions The things that actually move conversion rate and AOV.
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@GrammarHippy ·
If you want my best advice for increasing conversions and AOV it’s this: Don’t close the loop. Quiz - a lot of funnels have the offer at the end of the funnel in a different style. Different design. WHY? Closed the loop. Quiz done - now we’re selling to you. NO. A purchase - a lot of funnels thank the buyer for their purchase. WHY? Purchase complete - loop closed. Wallet closed. I’ve seen my guys go from 0% conversion rate to 40% on their upsells simply with NOT closing the loop. Same offer. Same everything.
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@M__Operators ·
.@couuor rebuilt Ridge’s entire site after 10 years. @connorrolain added a step pre-checkout. @codyplof’s last six CRO tests were winners. The boys have been busy ↓ Upsell pre-checkout, +23% AOV (Conversion rate stayed flat) Redesign entire site + test for lift (Subtract sections to find impact) Stack +1 change per variant (Learn four times faster) Survey customers for test ideas (That’s how Cody got six wins) Pipe “Listen Labs” into Claude (AI writes the test brief)
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@FedotOff90 ·
I used to think the fastest way to fix a struggling ecom brand was new ads. New creative. New angles. New campaigns. I was wrong most of the time. Nine times out of ten, the ads weren't the problem. The LANDING PAGE was. A 1.2% conversion rate on cold traffic isn't an ad problem — it's an offer problem, a page problem, a trust problem. I've watched operators burn $50k testing new creatives on a funnel that was never good enough in the first place. Now the first thing I look at isn't the ad account. It's the funnel. Fix where the traffic lands before you touch where it comes from.
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@Adam_Ha_Yes ·
Do you want a high-converting landing page? With a few simple tweaks you can double your conversion rate. Here are the 7 questions I ask when building every landing page: 1: Does my site load fast? > Target: <1 second load time > Every extra second = 10–15% traffic loss > Use Google Lighthouse to check The designer in me hates this, but you have to cut heavy assets if they're killing performance, trust me it's worth it. Performance > pretty 2: Do I have a low Low-Friction CTA? > Find a simple value adding action for users to take > Don't ask for money upfront in your funnel, high churn > Think through what incentivizes someone to take the next step (e.g., book a demo) Simple phases like "Try for free" or "Get 1,000+ ideas" convert 2x better then "Start a demo" or "Enter your CC" 3: Do I pass the "Above the Fold" test? > User should know what you do without scrolling > Formula: clear headline → body copy (elaborates + hints at ICP) → low-friction CTA → product image for context If a user doesn't know what you do before scrolling, you're being too ambiguous. Your goal isn't to confuse your customers! Ditch the cute taglines and instead be as literal as you can. 4: Do I have social proof? > No users yet? Pull quotes from respected figures in your industry > Show investors if you have them > As you grow: text quotes → video testimonials → whatever you can get Always be collecting testimonials, social proof, videos, and case studies. Social proof is one of the most important things most sites are missing. 5: Do I have a product demo? > Doesn't need to be expensive, a Loom works > Script: "Hey I'm X, I built this because Y, here's a quick walkthrough" > Builds trust, explains the product, humanizes the brand Some % of your users prefer to read, another might prefers to watch a video. Give as many hooks as possible for users to convert. 6: Have I put my brand in a good light? > Does the site look like it was made in the last 10 years? > Use templates if design isn't your thing > No clip art, no bad stock photos, AI killed the excuse for bad design If you're selling a marketing agency but your website looks like crap, so will your conversions. Think deeply about how you actually want to present yourself to the world. 7: Do I pass the "Is It For Me?" test? > Visitor should immediately know if they're the target customer > Be hyper-specific: "for influencer marketing managers at D2C brands doing $5M+ revenue" > Use your ICP's actual language > Don't try to be everything for everyone... specificity = better conversion You need to spend a lot of time obsessing over who your customers are and are not. Speak to your customers, and ignore everyone else. Thanks for reading, if you drop your website in the comments I'd be happy to give some feedback. (this video did 100,000+ on TikTok let's see how it does lol)
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@askOkara ·
a lot of founders obsess over traffic when the problem is actually conversion if you're getting 1,000 visitors and 5 signups, you don't need more traffic. you need to know why 995 people left things to check first: - is the audience relevant? - does your homepage explain what the product does in one sentence? - does your cta tell people what happens when they click? - do you have social proof above the fold? - how fast does it load on mobile? fix these before you spend another dollar on seo or ads
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@andreibreha ·
AI Sales Agents has now become one of the most powerful elements of CRO. This test is the perfect example. We added interactive questions based on the product. Once an question is clicked, an AI Sales Agent opens up and answers the question. It's such a good way to tackle objections and educate the customer. This is a much more effective way than having the support bubble in the bottom corner of the website.
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@oliverkenyon ·
Anyone who says best practices in CRO don’t exist is lying. Yes, data and research are incredibly important when you’re testing at scale. But for most brands… A lot of the time it’s simply about putting the right conversion elements in the right place at the right time. Take this test for example. Just by improving how products were surfaced and navigated on a collection page, we helped generate +$82,542 per month. No new traffic. No redesign. No complicated experiment. Just applying a few simple conversion fundamentals. Here’s what we changed: 1️⃣ Helped visitors find the right products faster We introduced simple filter tags like Best Sellers, New Drops, Premium, and Standard so users could immediately navigate the collection based on what they were looking for. 2️⃣ Surfaced the products most likely to convert Products were automatically sorted by best sellers, putting the most proven items front and centre. We also added star ratings directly under product images to give instant social proof. The result? 👉 +$82,542 per month Sometimes CRO isn’t about complex tests or deep behavioural modelling. Sometimes it’s just about understanding how people shop and making the obvious choices easier to make.
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@CJSlattery ·
We helped a client see a 47% reduction in cost per incremental conversion, 18% lower CPMs. 24% more reach, all from moving Meta budget out of purchase campaigns and into upper funnel. The purchase campaigns looked efficient, but frequency was climbing and so was CPMr. The algorithm was re-serving ads to the same people, and the "strong ROAS" was mostly Meta converting warm audiences it had already saturated. We needed net-new reach. The playbook: Step 1: Run a Conversion Lift test before you touch anything. You need a real benchmark of what your campaigns are actually doing incrementally, not what the platform tells you. Step 2: Set up lift custom conversions so you can track incremental impact at the campaign level going forward. Step 3: Launch upper funnel campaigns using creative you already have. Take your best performing purchase campaign creatives and run them in awareness and Google Referral traffic campaigns instead of optimizing for purchases. Full exclusions, custom placements. Step 4: Let it run for four weeks. Upper funnel doesn't convert in-platform the way purchase campaigns do, and that's the entire point. You're expanding the pool of people who know you exist so the downstream conversions are actually incremental. Step 5: Repeat your lift tests. Compare to your benchmark. This is where you find out if your upper funnel investment is driving new customers. Step 6: Now build dedicated upper funnel creative. Raw, native-feeling content, demos, social proof, user submitted stuff, etc. The evergreen assets got you started, but purpose-built TOF creative will outperform for cold audiences over time. Step 7: Update strategy based on the data, repeat the cycle. Short term, you're watching for frequency and CPMr to come down while rolling reach climbs. Your in-platform ROAS will probably look worse because you're reaching colder audiences, and that's the point. Longer term, growth in total new customers and reduction in nCPA. If you're hitting a ceiling on Meta and want a second set of eyes, feel free to hit me up.
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@coreyhainesco ·
A Conversion Factory CRO win: Join It. We didn't rebrand them. Our design team took the assets they already had and used them better: a wider palette, a call to action that actually stood out, stronger social proof, and cleaner layouts. Their result: a 43% increase in conversions and a 29% drop in cost per acquisition.
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@fba ·
You don't need to be a genius to do CRO (Conversion Rate Optimization). When someone lands in your page/blog/etc. - First CTA above the fold. - Use a variety of of them (links, buttons, images, instructions) - Increase the FOMO if you can. - Track CLOSELY every conversion. Then, double down on what works.
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@namyakhann ·
The testing math that changes how i think about landing page wins: 10K+ visitors/mo: → run proper A/B tests → split traffic 50/50 → 1 test/week <10K visitors/mo: → make change live → measure before/after over 2-4 weeks → still iterate but not split traffic either way: consistent, focused, incremental improvements. most founders think they need more traffic to test. you don't. you just need a different method.
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@thePhilRivers ·
Most brands are bleeding money from a place they never think to look. Their pop-up form. Instead of the standard 2-3% opt-in most settle for. We regularly convert 4-7x more traffic by doing 3 things: 1. Come up with an offer that works within the unit economics of the business. Not just throwing up a $5 off because that’s easy and what everyone does. Lazy. 2. Capture high-leverage data at opt-in. Now what is important to capture is brand-specific. But capturing it makes people more likely to opt-in AND allows the brand to customize the flows. 3. Test that offer with the market. If above KPI - let it ride. If below KPI - test against. Optimize your pop-up like a psychopath.
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@roasroi ·
traffic but no conversions? wrong audience, offer mismatch, broken funnel Check Traffic Temperature Before Blaming the Offer Cold traffic needs a bridge. Warm traffic can go straight to the sale. Most people send cold FB traffic to a page built for warm buyers and wonder why nothing converts. The offer is fine. The sequence is wrong. Segment by Geo and Device Your US desktop traffic converts at 4%. Your IN mobile converts at 0.1%. Running broad means bad segments are dragging your average down and making a winning campaign look dead. Break it down before you kill it. Meta "Clicks" Are Not Landing Page Visits Meta counts clicks differently than actual LP visits. If your tracker shows 1,000 clicks but 300 visits, 700 people never saw your page. Slow load, bad redirect, broken mobile layout. Fix that first. Go Through the Funnel Yourself on Mobile Incognito, phone, like a real buyer. You'll find broken buttons, sketchy checkout pages, confusing upsell flows. Affiliates almost never do this. The funnel you think you're running and the one your traffic sees are often two different things. Match the Ad Angle to the LP Headline Ad says "weight loss for women over 50." LP says "lose weight fast." That disconnect kills conversions instantly. Whatever the ad promises, the first line of the LP should confirm it word for word. Check Your EPC Against the Network Average If other affiliates are doing $1.20 EPC on an offer and you're at $0.08, the offer isn't the problem - your traffic or targeting is. If everyone's EPC is low, the offer is dead. Know which problem you actually have.
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@codyschneider ·
how conversational analytics is going to change your google ads conversion rate optimization process entirely most serious google ads operators already have a decent stack scripts running automated bid adjustments looker dashboards tracking the core metrics maybe some n8n workflows pushing alerts to slack custom sheets pulling data through the api and all of that works fine for the first order questions what's my cpa what's my roas which campaigns are pacing over budget but the problems that actually kill performance are the ones your current stack wasn't built to catch that search term that's been eating $200/day for 2 weeks because it technically drove conversions but the landing page it's sending traffic to has a 1.2% conversion rate while your top performer converts at 6% that pmax asset group where google is reporting a 4x roas but 60% of the "conversions" are repeat purchasers who were already in your email flow that keyword cluster where impression share dropped 15% last week but cpa stayed flat — meaning you're losing volume to a competitor and don't even know it yet these aren't edge cases these are the exact leaks that separate a 2x account from a 4x account and the reason they go undetected isn't because people are lazy it's because answering them requires cross referencing google ads data with ga4 session behavior with landing page performance with audience overlap — across different attribution windows and time zones that's not a dashboarding problem that's a data architecture problem and this is where conversational analytics actually matters not as a replacement for your existing setup but as the layer on top that lets you ask the hard questions without 45 minutes of spreadsheet surgery "which search terms are driving spend above $500 but sending traffic to landing pages converting below 2%" "which pmax asset groups have a declining new customer rate week over week" "show me keywords where cpc increased more than 15% but landing page conversion rate dropped in the same period" "which campaigns have the biggest gap between ctr and on page conversion rate" real questions against real data in seconds not a black box not a vibes based summary a query layer sitting on top of an actual warehouse with your numbers in it this used to take half a day of pulling exports and vlookups now it takes one question and about 8 seconds the media buyers who win on google ads in 2026 aren't the ones with the best scripts they're the ones who can interrogate their data faster than anyone else graphed .com connects your google ads data and ga4 data in one warehouse then lets you ask questions in plain english against all of it stop digging through tabs to find the leaks just ask where they are
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@elgermerlo ·
Burned $400 on Facebook ads in 2 weeks for a landing page that was converting at 0.4%. I thought traffic was the problem. It wasn't. The page had no clear value prop. The CTA was confusing. The offer was vague. I didn't know any of this because I had zero organic visitors to learn from before throwing money at it. Every ad dollar just accelerated my ignorance. What actually happened: I optimized the ad creative 6 times. Changed audiences 4 times. Blamed Meta's algorithm. Blamed my targeting. Blamed the market. Never once looked hard at the page itself. Finally ran out of budget and was forced to try organic. Posted in 3 communities. Got 40 visitors. Zero conversions. Same problem, now visible and free to diagnose. Turns out people didn't understand what they were signing up for. Fixed the headline. Fixed the CTA. Conversion went to 4% with the next organic push. I then ran ads again. Same $400 budget. Profitable. The lesson isn't "don't run ads." It's that paid traffic exposes nothing. It just moves fast and costs money. Organic is slow and brutal and forces you to actually understand why people aren't buying. Do organic until conversion makes sense. Then pay to scale what works.
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@sarah_carusona ·
If I started a brand from scratch, these are the first 3 hires I'd make 👇 (And no, a media buyer isn't one of them...) Because after working across numerous 7-9 figure brands, I've learned that a bunch of specialists who don't talk to each other does not lead to growth... You need three people with the right skill sets who can own their lane and work together. 𝐇𝐢𝐫𝐞 1 >> 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫 This is the connective tissue between everything. Someone who understands how acquisition, retention, and CRO all connect to top and bottom line goals. Someone who can build a financial model, get hands-on in Meta & Google, design offers, and run CRO tests. Yes, one person can and should be able to do all of that (especially in high growth 7-8 figure brands). I've seen founders hire a media buyer, an email person, AND a CRO specialist before they had any of the above, and wonder why nothing is working together. 𝐇𝐢𝐫𝐞 2 >> 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭 Not a graphic designer. Not a social media manager. Someone who lives and breathes content. Who can trends and know how to build a flywheel out of organic and paid. This person is the perfect pairing to your Growth Operator. While your GO is in spreadsheets building models and optimizing channels, your Creative Strategist is out in the world, deep in the industry, obsessed with trends, pulling in creators, and coaching founders on camera. They feed the machine with content that actually converts. 𝐇𝐢𝐫𝐞 3 >> 𝐑𝐞𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭 And I'm not talking about an email coordinator. Retention is post-purchase experience, unboxing, subscription programs, customer feedback loops, and offer strategy. The best retention strategists I've worked with treat the customer like a data source, in the best way. They're constantly asking: what are people telling us, and how do we react fast? If you don't have a tight feedback loop between your customer and your product/offer (especially at the beginning) you're flying blind on some of the most important decisions for your brand. You don't need a monster team to get to $50M. But you need the right people in the right seats. And in my experience these three seats matter most.
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@brock_mammoser ·
Conversion rate is not always the best metric Here's what I mean: Our add to cart rate dropped from 13% to 7.6% year over year Our conversion rate dropped from 3% to 2.16% Looks like a problem But sessions went from 1.7 million to 4.5 million Traffic nearly tripled When you're driving that much cold traffic, TikTok organic, social, cold acquisition, people don't always buy on the first visit That's normal That's how funnels work A founder I know has a 0.8% conversion rate and is doing incredibly well because of the sheer volume of traffic Metrics need context Always
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@thePhilRivers ·
On a good day, your site converts 3%. That means 97 out of 100 people you paid to get there leave without buying. Ninety… Seven! And then what do most businesses do? Nothing. Or worse… They hand those same people back to Meta, Google, or YouTube and pay again for retargeting impressions because they never captured the lead in the first place. That is insane. Email is the only channel that lets you follow up with that 97% without renting the traffic all over again. That’s why I laugh when people talk about email like it’s just some retention add-on. No. It’s also your second-chance channel. Maybe your best one. Because no business converts at 100%. Not brands. Not coaches. Not consultants. Not course creators. So the game is straightforward... Get the click. Capture the lead. Control the follow-up. And convert more of the traffic you already paid for. What most people actually do is obsess over CPMs, creatives, hooks, angles, ad fatigue, attribution, and all the flashy frontend shit. Then let a weak pop-up and a templated welcome flow piss away the other 97%. Nah. That's a conversion problem. Not an acquisition one. You do not need more traffic until you’re doing something intelligent with the traffic you already bought. Build your list.
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@SSage38676 ·
conversion rate optimisation is NOT “make the button bigger.” It’s this: find where people drop off → understand why → remove the friction. learn to diagnose: off-site problems (wrong audience, wrong message, bad targeting) vs on-site issues (confusing landing pages, weak trust, broken flows). then optimise top-down: campaign → ad group → creative → website. map the full journey with GA4 funnels, path exploration & session recordings. finally, shift from “more signups” to “more paid” by nailing activation, the magic moment, and smoothing the entire funnel. real CRO. no fluff.
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@roasroi ·
how to test a lander, few tips - check what others are using VSLs? Advertorials? just a video and a CONTINUE button, email capture? - analyze how other funnels look like and make a similar one - don't 1:1 copy the lander code if that team is good and high-level, they will have scripts in the code that will silently divert a part of traffic to their offers / or signal to their analytics that the code is now running on a new domain - when making changes, make big ones when starting out and creating variety of landers - make BIG changes, don't just compare colors or working of the subtitle - A/B test at ALL times you should have an A/B test running 100% of your time, there are always improvements to be made, always additional % of clicks to be squeezed out - dont overcomplicate it I've seen high converting funnels where lander was a just a few paragraphs of copy, hero image and 2x CTA buttons - why sales letters landers are so long? nobody would read that! People who want to buy will.
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@kzitouni1 ·
ads runners, you may or may not have realized that the most interesting data is often hiding in the losing variant we had a test where one version lost on conversion rate but the customers who did convert: spent 30% more came back more often had higher LTV the winner got more customers the loser got better ones different lesson.
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@StaxGoldman ·
It’s incredible how dogshit “reputable”digital marketing agencies are. Friend of mine put me in touch with a (well funded) brand in London to assist, and I had the opportunity to see behind the curtain… A straight up disaster was revealed. When the owner first mentioned how bad the agencies he was working with were, I thought the guy was definitely exaggerating. Reputable full stack agency with full time IRL employees and an office? No way they’re that bad… But when I looked at the Ads Manager I laughed. First red flag that jumped out at me was a Traffic campaign running at scale with zilch conversions. Literally burning cash. The funny thing is I’d wager the average dropshipper running a measly 6 figure business knows way more ball than these guys - or at least knows how to walk the talk. To their credit the creatives were pretty good - from a strictly creative POV. The KPI’s said otherwise. Hook & Hold Rate would make an affiliate cringe. LP CRO? Mid. Tracking & Attribution? Basically non existent. …Even with all the expensive 3rd party tracking apps. What really struck me is how ahead a lot of bootstrapped kids are, here on X, and have no idea how behind the competition actually is… The normies would have heart attacks if they saw the GH & BH methods ppl use.
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@chakirbillionzz ·
🚀 Pretty design doesn’t convert. Proof does. Here’s my CRO breakdown. ✅ What I like: Strong stats and visual data reinforce credibility. Subscription-first pricing encourages recurring revenue. Countdown timer creates urgency. UGC adds authenticity to the offer. ❌ What I’d improve: Hero lacks an emotional outcome that resonates instantly. Buy box needs stronger trust signals around the CTA. Too much technical information above the fold creates friction. Customer transformation should be more prominent than ingredients. 📊 Stat: Leading with outcome-driven messaging instead of product features can increase conversions by up to 30%, while authentic UGC can lift conversion rates by 20–35%. 💡 CRO Pro Tip: Customers don’t buy ingredients, they buy the life they’ll have after using your product. Lead with the transformation, then use proof to make it believable. 📈
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@ArnaudBelingaCX ·
31.58% trial conversion. Up from 20.12%. +57% jump since Breakcold V2. Everyone in SaaS is obsessed with distribution. Twitter threads. Cold email. Paid ads. New channels. Here's what they miss. Double traffic = 2x growth. Double conversion = 2x growth. But conversion costs less and compounds forever. Most founders never run that math. We did. V2 wasn't about more leads. It was about leads that convert and stay. What changed: ☑ AI agents handle CRM work in session one, not month one ☑ 5-channel inbox delivers ROI on day 1, not day 30 ☑ Native Claude MCP so the product extends itself instantly ☑ Onboarding hits the "aha moment" in 10 minutes, not 10 days ☑ $59 pricing with AI included, not paywalled Result: 20.12% → 31.58%. Already higher as I type this. Distribution gets the airtime. Conversion gets the compounding. If you're spending 80% of time on top of funnel, look at the middle and bottom. That's where the money hides. Most underrated lever in B2B SaaS.
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@SSage38676 ·
How to crack your acquisition funnel in 8 steps for your innovative product: 1. Set a hypothesis-led growth strategy (ICP, positioning, messaging) 2. Build a growth roadmap (experiments, metrics, timeline) 3. Create + capture demand (choose 2 channels, define funnel goal, build audience lists) 4. Design conversion-first landing pages (value prop, pricing, CTA) 5. Test campaigns + signup flow (SEO/ads angles, compounding metrics) 6. Implement tracking + measurement (GA4, UTMs, pixels/CAPI) 7. Run CRO (fix the highest-impact drop-offs first) 8. A weekly growth loop (ship tests → review → iterate) Test, measure, compound.
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