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The Relationship Between User Experience (UX) and CRO
Sep 18, 2025 0 reads

The Relationship Between User Experience (UX) and CRO

The Relationship Between User Experience (UX) and CROMany teams focused on increasing conversion rates concentrate on raising ad budgets or creating new campaigns. But often, the real problem is much simpler: user experience (UX).This document focuses on a fact that teams aiming to increase conversion rates often overlook: User Experience (UX). Instead of increasing the ad budget or creating new campaigns, improving UX is often a more effective solution. We will examine the inseparable relationship between UX and CRO, discussing how UX forms the foundation of CRO efforts and how it can be used more effectively for CRO.Consider the following: Buttons that are hard to find Complicated forms Slow-loading pages Payment steps that appear unsafe Each of these not only drives users away but also undermines the most powerful CRO (Conversion Rate Optimization) efforts.UX and CRO: An Inseparable WholeIn reality, UX and CRO are not separate. A well-designed user experience is the most solid foundation for CRO. User experience encompasses a website's or application's usability, accessibility, desirability, and value. A good UX ensures users can easily achieve their goals, provides them with an enjoyable experience, and increases their trust in the brand. This directly contributes to higher conversion rates.How Can UX Be Used More Effectively for CRO?So, how can UX be used more effectively for CRO? Here are some strategies: Design simple and intuitive flows Don't tire the user with unnecessary steps Offer fast and secure payment processes Always prioritize the mobile experience These strategies ensure that users can easily navigate your website or app and quickly access the information or products they want. By keeping the conversion process as short and simple as possible, you avoid unnecessary form fields and lengthy registration procedures. Making the payment process fast and secure and always prioritizing the mobile experience are also critical to increasing your conversion rates.Data Collection and Analysis for UX ImprovementsBefore making UX improvements, it's essential to understand user behavior and identify problem areas. You can use various data collection and analysis methods for this: User Testing: Tests conducted with real users provide valuable insights into your website's or app's usability. Heatmaps: Heatmaps show where users click on your website, where they spend more time, and how far they scroll. A/B Testing: A/B tests allow you to compare different design or content variations to determine which performs better. Surveys and Feedback Forms: Collecting direct feedback from users helps you understand their needs and expectations. Tools That Can Be Used for UX + CROSome of the popular tools for UX improvements and CRO efforts include: Hotjar / Microsoft Clarity: To understand user behavior with heatmaps and session recordings Optimizely / VWO: To conduct A/B tests and design experiments Looker Studio / GA4: To measure the user journey and conversion metrics Crazy Egg: For scroll maps and user interaction analysis Qualtrics / Typeform: To get direct user feedback through surveys Conclusion: Happy User = High ConversionNo CRO effort will bring lasting success without improving the user experience. This is because a happy user equals high conversion. By ensuring users have an enjoyable experience on your website or app, you can increase their trust in your brand, earn their loyalty, and significantly boost your conversion rates. Investing in UX is the key to long-term CRO success.👉 In your opinion, what is the biggest UX mistake that impacts CRO?

The Relationship Between User Experience (UX) and CRO
Sep 18, 2025 0 reads

The Relationship Between User Experience (UX) and CRO

The Relationship Between User Experience (UX) and CROMany teams focused on increasing conversion rates concentrate on raising ad budgets or creating new campaigns. But often, the real problem is much simpler: user experience (UX).This document focuses on a fact that teams aiming to increase conversion rates often overlook: User Experience (UX). Instead of increasing the ad budget or creating new campaigns, improving UX is often a more effective solution. We will examine the inseparable relationship between UX and CRO, discussing how UX forms the foundation of CRO efforts and how it can be used more effectively for CRO.Consider the following: Buttons that are hard to find Complicated forms Slow-loading pages Payment steps that appear unsafe Each of these not only drives users away but also undermines the most powerful CRO (Conversion Rate Optimization) efforts.UX and CRO: An Inseparable WholeIn reality, UX and CRO are not separate. A well-designed user experience is the most solid foundation for CRO. User experience encompasses a website's or application's usability, accessibility, desirability, and value. A good UX ensures users can easily achieve their goals, provides them with an enjoyable experience, and increases their trust in the brand. This directly contributes to higher conversion rates.How Can UX Be Used More Effectively for CRO?So, how can UX be used more effectively for CRO? Here are some strategies: Design simple and intuitive flows Don't tire the user with unnecessary steps Offer fast and secure payment processes Always prioritize the mobile experience These strategies ensure that users can easily navigate your website or app and quickly access the information or products they want. By keeping the conversion process as short and simple as possible, you avoid unnecessary form fields and lengthy registration procedures. Making the payment process fast and secure and always prioritizing the mobile experience are also critical to increasing your conversion rates.Data Collection and Analysis for UX ImprovementsBefore making UX improvements, it's essential to understand user behavior and identify problem areas. You can use various data collection and analysis methods for this: User Testing: Tests conducted with real users provide valuable insights into your website's or app's usability. Heatmaps: Heatmaps show where users click on your website, where they spend more time, and how far they scroll. A/B Testing: A/B tests allow you to compare different design or content variations to determine which performs better. Surveys and Feedback Forms: Collecting direct feedback from users helps you understand their needs and expectations. Tools That Can Be Used for UX + CROSome of the popular tools for UX improvements and CRO efforts include: Hotjar / Microsoft Clarity: To understand user behavior with heatmaps and session recordings Optimizely / VWO: To conduct A/B tests and design experiments Looker Studio / GA4: To measure the user journey and conversion metrics Crazy Egg: For scroll maps and user interaction analysis Qualtrics / Typeform: To get direct user feedback through surveys Conclusion: Happy User = High ConversionNo CRO effort will bring lasting success without improving the user experience. This is because a happy user equals high conversion. By ensuring users have an enjoyable experience on your website or app, you can increase their trust in your brand, earn their loyalty, and significantly boost your conversion rates. Investing in UX is the key to long-term CRO success.👉 In your opinion, what is the biggest UX mistake that impacts CRO?

Sep 18, 2025 0 reads

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How Do We Predict Customer Behavior in Seconds with Artificial Intelligence?
Sep 16, 2025 0 reads

How Do We Predict Customer Behavior in Seconds with Artificial Intelligence?

How Do We Predict Customer Behavior in Seconds with Artificial Intelligence?In the fast-paced world of e-commerce, every company has a magical question on its mind: "Which of my customers will shop again, and when?" The answer to this question can fundamentally change everything from personalized discounts and perfectly timed notifications to inventory management and marketing strategies. So, do we need a crystal ball to answer this question? No. All we need is a smart artificial intelligence that can listen to what the data is whispering.This is precisely where we are pulling back the curtain on our project, which predicts our users' purchase intent in the next 1, 3, 5, 7, and even 10 days with surprising accuracy.Every Click Tells a StoryIt all starts with the digital footprints our users leave behind. Their browsing on the homepage, their a-product inspections, and their eventual purchases... All of these are more than just data points for us; they are behavioral stories.Before training our model, we created a "digital diary" for the past 8 weeks for each of our users. This diary includes not only "what" the user did but also "when" and "how often." But we went deeper and asked some critical questions to better understand the current situation: When was the last time the user visited our site? How many days have passed since their last purchase? How many times did they shop in the last month? What day is it today? Is it the weekend? What time of day? Thanks to this approach, we not only had a film of the past, but also a clear snapshot of the "moment" we would predict the future from.An AI with Memory and the Ability to FocusWe needed a special brain to make sense of these rich "behavioral stories." So, we built one of the most advanced deep learning architectures.1. Powerful Memory (LSTM Layers)At the heart of our model lies a technology called LSTM (Long Short-Term Memory), which mimics the memory ability of the human brain. With this technology, our model can remember a user's 8-week behavioral sequence from start to finish. It understands how a browsing session from last week can trigger a purchase today.2. Attention MechanismBut just remembering is not enough. The important thing is to know which memories are more valuable. This is where our model's "superpower" comes into play: the Attention Mechanism.Think of it this way: When studying for an exam, you don't memorize every word in the book; you underline the parts you think are important. The Attention Mechanism does exactly that! It focuses on the most critical moments that signal a purchase among the hundreds of events in the user's 8-week history and concentrates its attention there. Perhaps a user browsing the same category for three consecutive days is a much more important signal than a purchase from a week ago. Our model can discover this on its own.3. The Master Chef Who Finds the Best Recipe (KerasTuner)To ensure we found the best model, we left nothing to chance. We used a "master chef" named KerasTuner, which automatically tries hundreds of different model architectures and settings. This system worked tirelessly for us until it found the most delicious, or in this case, the most accurate "recipe," and presented us with the most performant model possible.How Do We Make Sense of the Results?Our model doesn't give us a simple "will buy" or "will not buy" answer. It offers something much more valuable: probability scores. For example, "User A has an 87% chance of making a purchase in the next 3 days."This gives us incredible flexibility. For instance: High-Value Campaigns: We can use our marketing budget most efficiently by sending a special discount coupon only to users the model is 90% or more confident about. General Announcements: We can make sure we don't miss anyone by announcing a new product to a wider audience that the model gives a 60% or higher probability. So, by adjusting the model's "confidence level" according to our business goal, we can strike a perfect balance between accuracy and the reach of our target audience.A Data-Driven FutureThis project is an exciting testament to what's possible when we combine big data and modern artificial intelligence. We no longer rely on fortune tellers to predict our customers' next move but on the power of our own data and the algorithms that interpret it intelligently. This is just the beginning; our future goal is to strengthen the bond between us and each user by offering them a personalized experience exactly when they need it.

Back-to-School Targeted Marketing Strategies in E-Commerce
Sep 2, 2025 0 reads

Back-to-School Targeted Marketing Strategies in E-Commerce

Back-to-school campaigns in e-commerce aim to increase conversion rates by analyzing user behavior and applying the right strategies. Methods like retargeting and dayparting provide visibility at the right time and on the right channel. Especially with the rise of mobile shopping during this period, being visible in categories like stationery shopping significantly supports sales.The Benefits of Targeted Marketing Strategies in E-Commerce for Back to SchoolTargeted marketing strategies for back-to-school deliver the right products to the right audience, increasing sales and strengthening customer loyalty. Here are some of the benefits:Audience segmentation allows personalized offers for the right users.Dayparting ensures visibility during the most effective hours.Increases conversion rates and boosts campaign efficiency.Know Your AudienceThe foundation of a successful marketing strategy lies in deeply understanding your audience. Demographics such as age, gender, and income level, as well as interests and shopping habits, determine the effectiveness of ad campaigns. Research shows that accurate demographic analysis can improve ad performance by up to 60%.Additionally, knowing what type of content your audience engages with helps you build personalized campaigns. For example, 70% of mobile shopping happens in the evening, which offers an opportunity to optimize campaign timing for seasonal categories like e-commerce and stationery. This way, you can deliver your message to the right audience at the right time.Reach Your Audience on the Right ChannelsChoosing the platforms where your audience spends time is critical for campaign success. Social media, search engines, email marketing, and mobile apps are the top areas where users are most active. In Turkey, 85% of internet users are active on social media, which significantly boosts conversion rates.Ad placement and format also impact performance. For example, younger audiences show higher engagement on Instagram Reels and TikTok videos, while professionals are more likely to click on banner ads. Choosing the right platform and format in e-commerce campaigns enhances both visibility and engagement.Quick Channel Guide:Search: Reaches users with high purchase intent.Social (Reels/TikTok): Boosts engagement and brand awareness among younger audiences.Email: Strong channel for loyal customer promotions and discount announcements.Push/SMS: Ideal for instant reminders and quick conversions.Affiliate: Adds traffic and sales through blogs, review sites, and coupon platforms.Marketplaces: Helps reach a broader audience searching for a wide product range while increasing visibility amid competition.Use Targeting Tools EffectivelyTargeting is no longer limited to demographics. Personalized campaigns can be created through user behaviors, social media interactions, and browsing patterns. Key data sources include:First-Party Data: Information collected directly from users on your site — the most reliable source.Third-Party Data: Interest-based segments and lookalike audiences from external platforms — useful for reaching potential customers unfamiliar with your brand.With accurate targeting, campaign reach can expand by up to 70%. For example, a stationery brand can analyze web browsing and social media behavior of student audiences to increase conversion rates. Additionally, leveraging data from other platforms where students are active helps expand reach and strengthen brand visibility.Engage at the Right TimeTiming is a critical element of digital marketing. Users are active at different hours: 70% of e-commerce shopping occurs in the evening, while B2B engagement peaks between 9:00–11:00 in the morning.Using dayparting, you can show ads during hours when users are most active. For example, school supply campaigns often perform better at midday and evening, while online education platforms benefit from morning activity. Proper timing can reduce cost-per-click by 20% and maximize ad budget efficiency.Drive Traffic and Boost SalesAttracting users to your website is not enough; you must also guide them to purchase. A fast-loading, mobile-friendly website keeps 80% of users engaged for longer periods.Incentives such as discount coupons, free shipping, or seasonal bundles can increase conversion rates by up to 30%. Retargeting campaigns are effective for bringing back users who visited the site but didn’t complete a purchase. For instance, offering a 10% discount to a user who abandoned their cart can triple return rates. Personalized recommendations and pop-up notifications also encourage users to finalize purchases. Take Action!To maximize your back-to-school campaigns, analyze your audience, choose the right platforms, and use personalized content to attract users to your site. Review your strategy today to use your ad budget more efficiently and increase sales!Frequently Asked Questions (FAQ)Which data should be prioritized when conducting audience analysis?Start with demographic data (age, gender, income), then analyze interests and shopping habits. These insights ensure your campaign messages reach the right people.How should timing strategy be determined?Timing should be based on analyzing when users are most active. Reports from Google Analytics or ad platforms reveal the hours with higher engagement. Optimizing ad schedules based on this data can significantly improve conversion rates.

Duplicate, Google Chose Different Canonical Than User Error
Sep 2, 2025 0 reads

Duplicate, Google Chose Different Canonical Than User Error

Perhaps one of the most critical errors you can encounter in Search Console is the “Duplicate, Google Chose Different Canonical Than User” warning. This error means that Google has chosen a different URL as canonical, based on its algorithm, instead of the canonical tag you specified. In other words, no matter which page you want to be seen as the “original,” Google may sometimes consider another page more authoritative, relevant, or accurate. This situation can lead to ranking losses and a decrease in your organic performance. Especially on e-commerce websites, this error is most frequently seen on similar product pages, filtered URLs, or pagination structures. Understanding this error and producing the right solution requires SEO specialists to be proficient in site architecture, content integrity, and technical optimization. Because the issue doesn’t end with simply adding the correct canonical tag; you need to analyze why Google prefers a different page. Site-wide duplicate content, parameterized URLs, redirects, or incorrectly structured page relationships can all trigger this error. Therefore, ignoring it can cause search engines to misunderstand your site and, in the long run, cost you valuable organic traffic.Why Does Google Automatically Choose a Different Canonical Page?The main reason Google automatically chooses a different canonical page is its desire to provide the most accurate and useful content to the user. The URL you mark with the canonical tag on your site may not always be the one Google prefers. This is because when Google crawls your pages, it considers not only the signals you provide but also content similarity, the intensity of internal/external links, page authority, and user experience. If Google thinks the canonical URL you indicated does not meet these criteria, it may flag a different page as the “more accurate” version.Another key factor is the URL structure and site architecture. For example, parameterized URLs, filtering options, or pagination structures often produce identical or very similar content. Even if you correctly mark the canonical URL, if Google sees that URL as weak in authority, it may promote a similar page instead. In addition, technical issues—such as redirect chains, broken links, or duplicate titles/descriptions—can confuse Google and lead it to select a different canonical.On top of that, user signals and external references also influence this process. If most of the external backlinks to your site point to a different page, or if user visit trends shift toward another version of the URL rather than the one you specified, Google will adapt its preference accordingly. In summary, it’s important to remember that the canonical tag is only a “suggestion,” while Google makes the final decision by evaluating all signals together.The Most Common Reason: Parameterized URLsOne of the most common reasons Google chooses a different canonical is parameterized URLs. Especially on e-commerce sites, product filtering, sorting options, color or size variations can generate countless URLs. For example, /products?color=red and /products?size=XL may both display the same product list with different variations. If these parameterized URLs are not canonically marked to the non-parameter version, hundreds of duplicate pages can be created.Failing to control parameterized URLs not only causes canonical issues but also leads to crawl budget waste and index bloat. Googlebot may be forced to crawl hundreds of nearly identical parameterized pages, delaying or even preventing the crawl of your truly valuable content. That’s why all such parameter-generated URLs should be properly handled with canonical tags. However, canonical alone may not always be enough. In such cases, you may need to apply noindex or even use disallow in robots.txt instead of just relying on canonical.Where Can You Detect This Issue in Search Console?Detecting the “Duplicate, Google Chose Different Canonical Than User” error is quite simple. You can easily spot it by following the steps below:Log in to Search Console.Go to the Pages section.Look under the “Why pages aren’t indexed?” table.If you see the “Duplicate, Google Chose Different Canonical Than User” warning here, it means your site is experiencing this issue.How to Fix This Issue?The most important thing you need to know when fixing this error is that the canonical tag is only a suggestion for Google. That means even if you mark the correct canonical, Google may still choose another page if your other SEO signals are weak. Therefore, the solution process should not be limited to fixing the canonical tag but should involve a holistic optimization approach.Go to the section in Pages where the error is listed.Hover your mouse over the URLs, and you’ll see a magnifying glass icon on the right.Click on this icon to view more details about the issue.For example, you can see which page Google selected as canonical, or which sitemap and referring page helped Google discover the URL.Next, for parameterized URLs, you can limit crawling using robots.txt or Search Console’s parameter settings, and if necessary, add a noindex tag. Make sure your filtering and sorting URLs point canonically to the main category page.Additionally, strengthening your site architecture and content structure is crucial. The page you mark as canonical should also be the one that receives the most internal links, holds the highest authority, and has the most up-to-date content. Remove or merge unnecessary duplicate content, clean up redirect chains, and ensure page titles and meta descriptions are unique and distinct.Finally, external links and user behavior also play a role in this process. If external sites are linking to parameterized or incorrect URLs, you should redirect them to the correct canonical URL with 301 redirects. This way, you clearly show both Google and users which page is the main version.Frequently Asked Questions (FAQ)What does the "Google selected a different canonical page than the user" error mean?This error indicates that Google's algorithm has accepted a different canonical page than the canonical tag you specified.How does this error affect my SEO performance?Incorrectly selecting a canonical page can lead to duplicate content issues in search engine results and reduce the visibility of your target page.