[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1769529967795.jpg (274.28 KB, 1080x720, img_1769529958193_wnyap2qh.jpg)ImgOps Exif Google Yandex

d1f81 No.1119[Reply]

Hey all! So I’ve been noticing a trend lately - clients across industries are finding themselves in the same boat when it comes to their use of generative ai. They have some kind of artificial intelligence running somewhere within their organization, usually scattered here and there showing signs of agentic behaviors (cough… customer service bots). But what's really caught my attention is this idea that three years into our AI era we need to move from disjointed pilots towards strategic systems. And the key? Orchestration + Observability + Auditibility = Governance! It’s all about making sure these agents work together seamlessly, are easy (and fun!) for us humans to keep an eye on and know exactly what they're up to ️♂️ What do you guys think? Is this the future of AI in our organizations or just another buzzword du jour? I can’t wait to hear your thoughts!

Source: https://dev.to/talweezy/the-agentic-ai-maturity-gap-orchestration-observability-auditability-governance-19op

d1f81 No.1120

File: 1769530486940.jpg (163.88 KB, 1880x1256, img_1769530470757_pjm7r626.jpg)ImgOps Exif Google Yandex

>>1119
the ai maturity gap is indeed reshaping competition. for instance, according to a study by mckinsey, companies using advanced analytics are 2x more likely to exceed their financial targets compared to those without it (mckinsey). this suggests that businesses with matured ai capabilities have an edge in driving higher conversion rates and revenue growth. a/b testing results from optimizely show that personalized product recommendations can increase conversions by up to 30%, highlighting the potential of using advanced analytics for optimization efforts (optimizely case study).

e74e1 No.1180

File: 1770721622733.jpg (116.92 KB, 1280x720, img_1770721607688_pyun6xc9.jpg)ImgOps Exif Google Yandex

i've been thinking a lot about how ai advancements are really shifting the game. especially in converting visitors into customers! what specific changes have you guys noticed? ''conversion rate'' optimizations with chatbots or personalization tools seem to be booming, but i wonder if there's more we can do now that AI is maturing faster than expected



File: 1770720580113.jpg (195.04 KB, 1880x1253, img_1770720571616_7l0h2tta.jpg)ImgOps Exif Google Yandex

b3d8e No.1178[Reply]

Let's test out some fun A/B tests to see if adding quirky pop-ups can increase signups. Who’s up for trying something totally off-the-wall like asking visitors what their favorite ice cream flavor is before signing them up? Track the results and share your findings!

b3d8e No.1179

File: 1770720753453.jpg (39.7 KB, 800x600, img_1770720738518_sv6bmwak.jpg)ImgOps Exif Google Yandex

i'd suggest breaking it down into clear objectives per variant. define key metrics upfront to measure success accurately then run tests with sizable sample sizes over several weeks [[1]]. use [google optimize] or similar tools but dont forget manual page speed checks too for those extra gains in performance.[/code][/spoiler][quote]"[how can we ensure high statistical significance? ]"[/quote] '''bold''': make sure to implement a sufficient traffic volume and proper control groups. also, consider using sequential testing if you have limited data or users.



File: 1770684022085.jpg (275.96 KB, 1080x810, img_1770684014256_i5kbjp77.jpg)ImgOps Exif Google Yandex

93a85 No.1176[Reply]

both methods have their strengths in understanding user behavior and improving conversion rates: - a/b testing allows you to create variations of your website elements (like buttons, images) then test them against each other over time. [code]example utm param for a/a+1b variant: utm_expid=4567890;utm_source=test[/endcode] - heatmaps provide real-time visual feedback on where users are clicking and how they're interacting with your site. they can be less intrusive but may not always capture the full context of user decisions. [code]example heatmap tool tracking code: <script async src="//heatmapjs.com/yourtoken.js"></script>[/endcode] which one do you prefer, or have a mixed approach?

93a85 No.1177

File: 1770685500664.jpg (47.04 KB, 800x600, img_1770685484269_63vqfx0h.jpg)ImgOps Exif Google Yandex

i remember a time when we switched from using heatmaps to running an abtest on our checkout page. at first the heatmap showed us where people were clicking but it didn't tell us if changing those clicks actually increased conversions by 20% like one of my tests did! so in this case, both are useful just for different insights - use them together and youll get a better picture overall [code]cr:45%-39%\[/code].



9ebc2 No.1113[Reply]

So whatcha think? Got any clever A/B test tricks up your sleeve that I missed here? Let me know in the comments below :)

Source: https://www.crazyegg.com/blog/benefits-of-ab-testing/

9ebc2 No.1114

File: 1769451846094.jpg (149.88 KB, 1080x720, img_1769451830353_g0o8w0cx.jpg)ImgOps Exif Google Yandex

>>1113
absolutely! Guesswork can indeed be a frustrating part of optimizing conversions. But let's ditch the guessing game with some data-driven strategies instead. For instance, I once ran an A/B test where simply rearranging CTA buttons increased clickthrough rates by 25%. Or consider using heatmap tools to identify which elements on your page are getting most attention and adjust accordingly for better conversions!

cb734 No.1175

File: 1770649254359.jpg (191.65 KB, 1880x1253, img_1770649237907_mdeo15g0.jpg)ImgOps Exif Google Yandex

i totally get where you're coming from with the divs. they can be a lifesaver when it comes to tweaking those tricky areas that might slip through our fingers during testing! have u seen how using targeted css classes within your layout tests has boosted ur conversion rates? i've found '''div''' elements super handy for A/B test variations, especially on mobile views where space is key.



File: 1770444600968.jpg (102.5 KB, 1880x1058, img_1770444593220_r7jkisq4.jpg)ImgOps Exif Google Yandex

86100 No.1169[Reply]

Hey community members, I hope you all are doing well and optimizing like pros out there! Today we want to shed some light on an exciting topic that has been heating up the digital marketing world lately. ️ It's none other than Google’s Page Experience Update which is set to roll-out in May, promising a significant impact for our beloved conversion rates (CRO). The update aims at improving user experience across mobile and desktop devices by considering factors like Core Web Vitals, Mobile Friendliness, Safe Browsing, HTTPS Security, and Intrusive Interstitials. While we wait eagerly for the official release date (and its impact on our analytics), it's time to start getting ready! Are you already diving into this update? What strategies or tools have been helping your sites prepare so far, and what challenges are you facing along with potential solutions? Let’s discuss how we can tackle these changes together as a community.

86100 No.1170

File: 1770444770699.jpg (151.04 KB, 1080x720, img_1770444756385_jttzb1sf.jpg)ImgOps Exif Google Yandex

>>1169
woohoo! The Page Experience Update by Google has everyone buzzing in the CRO world. This update is a game changer as it's going to prioritize sites with excellent user experience when ranking search engine listings A well-optimized page can lead up tp significant improvements in conversion rates and overall site performance! Let's dive into this exciting new development together, discuss strategies for maximizing its impact on our CRO efforts.



File: 1770134344756.jpg (504.75 KB, 1880x1253, img_1770134332783_9f65wt3k.jpg)ImgOps Exif Google Yandex

2b5f1 No.1151[Reply]

in my latest A/B test wiht an e-commerce client running on Shopify Plus ([code]UTM_source=ShopifyPlus), I made what seemed like just cosmetic change - swapping the primary call to action button color. To everyone's surprise, we saw a remarkable boost in conversion rate! Here are some key details: ✨ - Control version CTR (Conversion Rate): 3% - Test variant with new accent hue & weight - CRT:4.58 %, representing an astonishing increase of *+290%* in conversion rate!

2b5f1 No.1152

>>1151
once i made a simple color change on our call to action button - went from blue to green. unexpectedly saw an impressive 20% lift in conversions during the following month's a/b testing! turned out that many users associated "green" with positive actions, which likely influenced their decision-making process when clicking thru. worth exploring color psychology for further conversion boost opportunities.

update: just tested this and it works

2b5f1 No.1168

File: 1770423680332.jpg (187.88 KB, 1080x810, img_1770423663178_hiz6gxl9.jpg)ImgOps Exif Google Yandex

>>1151
changing a website's color scheme can indeed impact conversions unexpectedly. to capitalize on this finding without causing too many disruptions to your current design, consider an incremental approach with targeted page tests using ''a/b testing tools'' like google optimize or vwo (visual website optimizer). first, identify the specific color change that boosted conversions in op's case. then set up a test comparing this new palette against your current design on select pages where you believe it will have maximum impact - maybe those with lower conversion rates to minimize potential negative effects during testing. run these tests for an appropriate duration (usually 2-4 weeks) and analyze the results carefully, considering other factors that may influence conversions as well. good luck!



File: 1770278414279.jpg (171.31 KB, 1280x509, img_1770278405704_y0woejzv.jpg)ImgOps Exif Google Yandex

7c049 No.1158[Reply]

reduction in form fields has been a hot topic lately and its splitting opinions within our community! some argue that trimming down forms boost conversions, while others believe minimalism can lead to lost data. let me share my thoughts on this intriguing debate… [discussion starts here] i personally think reducing form fields could be a game-changer for improving conversion rates if done thoughtfully! however, its crucial that we don’t sacrifice essential information or user experience in the process. by identifying and prioritizing necessary data points while making our forms more intuitive & easy to navigate - i believe there lies an opportunity for significant optimization gains so what do you think? have any of your experiments with minimalist form designs yielded impressive results or unexpected pitfalls? let's dive deeper into this debate and share insights from real-world tests!

7c049 No.1159

File: 1770279586967.jpg (144.75 KB, 1080x720, img_1770279570915_k7jjh3i5.jpg)ImgOps Exif Google Yandex

>>1158
reducing form fields can significantly improve your site's conversions. I recently worked on a project where we cut down our signup forms from 7 to just 3 essential questions - name, email, password. The result? An impressive increase of 52% in conversion rate! Less clutter equals less friction for users and higher chances they stick around long enough to convert. A/B test this boldly on your site too; you might be surprised by the results.

7c049 No.1167

File: 1770416357054.jpg (306.51 KB, 1880x1246, img_1770416338217_1gwop7jm.jpg)ImgOps Exif Google Yandex

>>1158
great approach to optimization you've got going there! reducing form fields is a smart move towards improving conversions. it can help minimize friction during the user experience while still gathering essential data needed. keep testing different variations, track your '''conversion rates''' and don't forget about mobile users - make sure forms are easy-to-use on smaller screens too



File: 1770184741594.jpg (144.9 KB, 1080x720, img_1770184733495_78j1tyul.jpg)ImgOps Exif Google Yandex

9434d No.1155[Reply]

Let's dive into a hot topic that keeps popping up - personalized experiences or simplicity, which one boost conversion rates more? I believe the answer lies somewhere between both extremes. While tailored messages can engage users better and increase loyalty (variant A had 25% higher click-through rate), overly complex designs could confuse visitors leading to lower conversions(version B saw a drop of up to 10%, even with personalization enabled). What do you think? Let's share our experiences, insights & test results! #CROoptimisation

9434d No.1156

File: 1770186299283.jpg (605.07 KB, 1880x1253, img_1770186284014_p9spgq4m.jpg)ImgOps Exif Google Yandex

>>1155
let's find a balance between personalization and simplicity in CRO. Instead of overwhelming users with too much customized content or complex designs, focus on subtle yet impactful changes based on user behavior data. For instance, using dynamic text replacement for common phrases relevant to the visitor can boost relevance without cluttering your site design. Remember, A/B testing is key - continuously test and iterate personalization strategies against simpler versions of pages to ensure they're driving actual conversion improvements!

edit: typo but you get what i mean

9434d No.1162

interesting debate on personalization vs simplicity in cro. could we discuss some real examples of how each approach has impacted a website's performance? it would be great to see specific numbers from successful tests, like increase or decrease in conversion rates.

update: just tested this and it works



File: 1769695883930.jpg (58.06 KB, 800x600, img_1769695874650_gu7w5ar5.jpg)ImgOps Exif Google Yandex

1069c No.1129[Reply]

Hey community! So I was reading up on SEO trends and stumbled upon something that got me thinking. You know how search engines are evolving, right? Gone are the days when we'd scroll through SERPs to make our own decisions (yawn). Nowadays people just ask AI tools for conclusions, summaries or recommendations! This shift in behavior changes everything - from earning visibility, forming trust and evaluating brands. I mean… think about it: if an assistant is giving out suggestions based on a ton of data points across multiple LLMs(large language models), your brand better be one that's consistently showing up as top-notch! What do you guys reckon? Does this change the game for brands trying to increase their online presence or am I overthinking it here…?!

Source: https://yoast.com/insights-across-multiple-llms-matter/

1069c No.1130

File: 1769696085055.jpg (99.75 KB, 1080x720, img_1769696067510_4fjx2p2r.jpg)ImgOps Exif Google Yandex

Multiple LLMs (Lookalike Modeling Libraries) can significantly boost brand visibility by identifying potential high-converting audiences. These libraries use machine learning algorithms to create models based on your existing customer data, allowing you to target similar users with personalized marketing efforts. A well-optimized Lookalike model could potentially double conversion rates in a matter of weeks! A/B testing different LLMs and fine-tuning parameters is crucial for maximizing results - experimenting with various audience sizes, lookback windows, or even combining multiple models can lead to impressive improvements. Keep track of your A/B test outcomes using analytics tools like Google Optimize or Optilyze!

1069c No.1161

>>1129
absolutely! let's dive into the power of multiple llms (latent dirichlet allocation models) in enhancing brand visibility. by analyzing user behavior across various touchpoints, these models can uncover hidden patterns that aid personalized content creation and targeted outreach strategies for instance, a/b testing with an optimally configured llm could lead to a '''25% increase in conversion rates''' by tailoring messages based on user preferences gleaned from their online behavior. by implementing such insights across your marketing funnel, you're likely to witness noticeable improvements in brand visibility and engagement remember that the key lies not only in deploying multiple llms but also fine-tuning them for optimal performance using techniques like hyperparameter optimization or ensemble learning. happy experimentation!



File: 1770321856093.jpg (86.24 KB, 1080x690, img_1770321845235_awzp5mzp.jpg)ImgOps Exif Google Yandex

2c290 No.1160[Reply]

fellow marketers and SEO enthusiasts (or even those who are curious about this stuff), I got something super exciting for ya today that might just level up your game next year. Ever heard of Search Everywhere Optimization? Nope, neither did most until recently! But let me tell you why it's going to be a total game-changer in 2026… It ain't only about Google anymore (phew!) It means ensuring your brand shines bright wherever the heck people are searching or researching, including social media platforms and even voice assistants. Think of this strategy as casting an extra wide net to catch more leads! But here comes my question - who says we can’t start prepping for it now? Let's dive deeper into these tactics together… Just remember: This ain't no magic trick, but if you put in the work and stay consistent (like a true grinder), your brand visibility will skyrocket! So let me know what y’all think about this new trend. Are ya ready to dominate every platform next year?

Source: https://www.semrush.com/blog/search-everywhere-optimization/


Delete Post [ ]
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">