Sep 18, 2025 0 reads

The Relationship Between User Experience (UX) and CRO

Many 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 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.Frequently Asked QuestionsDo UX improvements increase conversion rates?Yes. Because when users can easily find what they are looking for and complete transactions quickly and securely, more conversions take place. Simple flows and a good experience directly reflect on sales and sign-up rates.Does poor user experience reduce the effectiveness of the advertising budget?Yes. No matter how large the campaign budgets are, slow-loading pages or complex forms drive users away from the site. As a result, advertising spend delivers fewer conversions and may even be wasted.

Sep 16, 2025 0 reads

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.

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.

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.

Aug 28, 2025 0 reads

How Do You Dynamically Pass Your CRM Audiences to Advertising Channels?

The golden rule of digital marketing—reaching the right audience at the right time—is often missed due to inefficient batch processing methods. The key to effective, real-time targeting through CRM audience synchronization lies in a modern approach: event-driven architecture. This method captures real-time events using Pub/Sub, processes them with technologies like BigQuery streaming, and instantly sends your valuable customer data to Google's Customer Match and Meta's Custom Audiences. This dynamic system not only accelerates data transfer but also intelligently manages rate limits to ensure seamless communication, avoiding the API walls of advertising platforms.Think about it for a moment. A customer favorites a product in your app. Instead of waiting for the next day's manual CSV upload or a 15-minute delay from Zapier, you could instantly add this person to your Meta or Google audience and serve them a relevant ad. By the time those manual processes run, the "moment" is long gone.In this article, we'll break down how we overcame the time costs, flexibility constraints, and—most importantly—the "rate limit" walls imposed by third-party tools like Zapier. Let's explore how to transform your CRM data from a static list into a living, breathing organism that's constantly updated for your ad channels.Dreams vs. Reality: Where Tools Like Zapier Fall ShortWith the promise of automation, tools like Zapier and Make (formerly Integromat) are excellent starting points for non-coders. "When a user is added to the CRM, add them to a Facebook Custom Audience." It sounds simple, right? But as your business scales and data velocity increases, this magic wand quickly becomes a set of shackles.1. The Time-Cost Trap: How "Instant" Is It, Really?Zapier and similar platforms run on polling triggers, checking for new data at set intervals. Depending on your plan, this could be every 5, 10, or 15 minutes. In a world where purchase decisions are made in seconds, 15 minutes is an eternity. You miss the critical "hot moment." Imagine the operational drag and cost of syncing thousands of users one by one through these delayed cycles.2. The Rate Limit Wall: Hitting the Brakes When You Need to AccelerateEvery API has a carrying capacity: its rate limit. This is the number of requests you can make in a given time frame. What happens during a major campaign when you need to add tens of thousands of users to an audience at once? Zapier will collide with the rate limits of both its own platform and the ad channel (Meta, Google, etc.). Just when you need to floor it, the system forces you to slow down, leaving you powerless.3. The Flexibility Nightmare: Trapped Inside the BoxThese tools provide pre-built templates. But what if you need a complex segment like, "users who have added items to their cart three times in the last 30 days but haven't purchased, and who also opened our most recent email"? What if you need to enrich, clean, or merge data from multiple sources before sending it? This is where you hit the rigid flexibility ceiling of off-the-shelf solutions.The New Game Plan: Building Our Own Highway with APIsRecognizing these bottlenecks, we made a decision: instead of getting stranded in someone else's rental car, we would build our own highway. This highway is built on direct API integration.Here are the steps of our robust solutionStep 1: The Heart of the Data – Google BigQueryIn compliance with security and privacy standards, all our user data is hashed (e.g., PII like emails and phone numbers are encrypted) and streams dynamically into Google BigQuery. Every time a user takes an action—opens the app, views a product, adds to cart—that event data is processed and lands in our massive data warehouse almost instantly. This is our single source of truth.Step 2: Polishing the Raw Diamond – Data Quality and ModelingThe data flowing into BigQuery is raw. Our job is to turn that raw diamond into a brilliant-cut gem. In our proprietary data processing layer, we:Clean the Data: We scrub for incorrect, incomplete, or inconsistent entries.Enrich the Data: We combine behavioral data with demographic or historical purchase data to build a 360-degree customer profileCreate Dynamic Segments: Using SQL queries, we can generate complex, real-time segments in seconds, such as "VIP customers who have favorited more than 3 products in the last 24 hours."This stage is the brain of our advertising campaigns. It's where we decide who to target, when, and with what message.Step 3: Light-Speed Delivery – API Push to Ad ChannelsNow we have clean, enriched, and perfectly modeled audiences ready for activation. This is where the magic happens:Our custom application takes these segments and pushes them directly to the Google Ads, Meta (Facebook/Instagram) Ads, and TikTok Ads APIs.What does this give us?Zero Latency: The moment data lands in BigQuery and is processed, it is added to the target audience on the ad platform within seconds. A customer could see a personalized ad on social media before they even close your app.Limitless Scalability: Rate limits are no longer a concern. With our own code, we can intelligently manage API requests, queue them, and use batch processing to send tens of thousands of users in a single push without hitting API limits. We are in full control.Maximum Flexibility: We can create any segment imaginable and instantly activate it. We can build and leverage niche, high-value audiences with our own business intelligence—audiences far too complex to create within the ad platforms' native UIs.So, How Does It Actually Work?Achieving these three superpowers—speed, scalability, and flexibility—is the result of the right engineering and architectural choices. Let's take a closer look at the technical solutions.1. How We Achieve "Zero Latency": Event-Driven ArchitectureUnlike Zapier's periodic polling mechanism, our system is event-driven.Real-time Data Streaming: When a user takes an action, that event is captured and streamed to BigQuery instantly. We don't wait for the next sync cycle.Automatic Triggers: As soon as new data arrives in BigQuery, it automatically triggers the next step. A serverless function, like Google Cloud Functions, picks up this new data and immediately initiates the data processing pipeline. In short, one domino instantly knocks over the next. There is no waiting, only flow.2. How "Limitless Scalability" Is Possible: Smart Queue Management and BatchingTo avoid crashing into the rate limit wall, we manage API requests intelligently.Message Queues: After data is processed, instead of sending each user directly to the ad platform's API, we push them into a message queue like Google Cloud Pub/Sub. This acts as a buffer, absorbing sudden spikes in load and allowing the system to breathe.Controlled Workers: "Worker" services listen to this queue and process the entries at a controlled rate (e.g., "send no more than X requests per minute"), respecting the API limits of each ad platform. This way, whether we have 100 new users or 100,000, the system never clogs; it simply works through the queue.Batching: Instead of sending 1,000 individual API requests, we group users into batches—as permitted by the API—and send them in a single request. This dramatically improves API efficiency.3. Where "Maximum Flexibility" Comes From: The Power of SQL and Custom CodeOur flexibility stems from our freedom to work directly with data and code, unconstrained by a third-party tool's interface.Centralized Logic with SQL: All of our segmentation logic lives in powerful SQL queries running on BigQuery. When the marketing team dreams up a highly complex audience, we can build it with a few lines of SQL instead of fumbling through a series of dropdowns in a Zapier workflow. We own the rule set completely.Custom Data Transformation: Our data processing layer is built with our own code, written in languages like Python. This allows us to enrich data however we see fit, merge it with various sources, and perfectly format it for each ad platform's specific requirements. The only limit is our imagination, not the technology.These strategies allow us to move from a reactive, constrained world to a proactive, fully controlled playing field.Conclusion: From Static Lists to Living OrganismsZapier and similar tools are like a public bus—they'll get you from point A to point B. But if there's traffic, you'll be stuck waiting, and you can't deviate from the route. Building your own API integration, on the other hand, is like chartering a private jet: it's fast, flexible, limitless, and entirely under your control.Stop treating your CRM data as "dead" lists that are updated weekly or daily. They are living organisms reflecting the real-time intent and behavior of your customers. When you feed these living organisms in real time via APIs, your ad campaigns also become living, breathing systems that perform better than ever before.

Aug 21, 2025 0 reads

Back to School and Return to City Life: 2025 Trends and Consumer Behaviors

Back to School and Return to City Life: 2025 Trends and Consumer BehaviorsThe back-to-school period signifies a new beginning not just for students and their parents, but for the entire city. This process combines the concepts of "Back to School" and "Return to the City," presenting a major opportunity for the retail and marketing world. Understanding the trends and consumer behaviors of this period in 2025 is critically important for brands to define their strategies correctly. As families focus on both traditional school needs and the new dynamics of urban life in their preparation for the new term, technological advancements and AI-powered platforms are shaping this shopping journey. In this article, we will conduct a detailed analysis of the general market outlook, target audience, and digital marketing trends of this period.Market Overview of the Back to School & Return to the City PeriodThe back-to-school period is a high-stakes process for families, with the average family spending 10,000 TL in 2024. The largest portions of this expenditure were on stationery, clothing and shoes, and books. Parents are inclined to spend more with encouragement from their children; according to a 2024 survey, 61% of parents stated that their children encouraged them to spend more during the back-to-school season. This indicates that children play a significant role in purchasing decisions and that brands need to shape their target audience strategies towards both parents and children. Furthermore, online shopping has gained increasing momentum during this period, a trend that has strengthened over the years. This highlights the importance for brands to have a digital presence and run effective campaigns.Across the market, consumer spending habits and expectations are evolving with increased competition and technological advancements. While global retail sales are expected to grow by 4% in 2025, e-commerce is projected to account for 21% of retail sales. This requires brands to establish a strong presence in both physical and digital channels. Consumers, especially during peak periods like "Back to School" and "Return to the City," want to discover products in more natural and intelligent ways. In this context, visual search tools like Google Lens and other AI-powered technologies are coming to the forefront by personalizing and simplifying the shopping experience. These trends demonstrate the necessity for brands not only to showcase their products but also to offer a value-oriented, competitive, and technology-supported shopping experience to consumers.Target Audience Analysis and Consumer BehaviorsThe target audience during this period encompasses a wide spectrum, including both parents and students. In Turkey, 51% of X (formerly Twitter) users are parents with children under the age of 18. Of these parents, 28% have at least two children. This data shows that platforms like X hold great potential for reaching and engaging with parents. While parents research their children's school needs, students use different platforms to discover products that reflect their personal style and school life. Therefore, brands need to create original and engaging content that appeals to both audiences. For example, on Pinterest, both students and parents conduct shopping-related searches using keywords like "school supplies," "backpack organization," and "back-to-school checklist."Consumer behaviors are shaped by their interactions, especially on digital platforms. On TikTok, users generated 9.6 billion video views for hashtags related to "Back to School" (#B2S). The content of these videos generally focuses on communities, shopping, schools, and preparation. Among the most popular hashtags are #okul (school) (770M views), #üniversite (university) (466M views), and #okuladönüş (back to school) (261M views). This shows that brands can reach large audiences through popular hashtags and viral content. Additionally, consumers tend to set aside their brand loyalty during this period and become more open to new brands. According to Google's internal data, 51% of consumers indicated they were open to new brands during last year's peak preparation season. This demonstrates that brands need to develop effective strategies to acquire new customers in a highly competitive environment.Category and Digital Marketing TrendsDigital marketing trends are focusing on the consumer's search and discovery processes. The rise of online shopping, particularly during this period, makes it mandatory for brands to have a strong digital presence. Platforms like Pinterest play a significant role in converting users from "inspiration seekers" to "ready-to-shop" consumers. Student Pinners are 50% more likely than non-students to save shoppable Pins during the school season. Furthermore, categories such as fashion, home decor, art, beauty, and DIY & crafts are among the most shopped on Pinterest. This data emphasizes the importance for brands to showcase their products on visually-oriented platforms and create shoppable content.The article should also address digital marketing strategies. AI-powered tools enable brands to run more personalized and efficient campaigns. For example, tools like Google's AI Max help capture demand through search term matching and auto-generated content. Similarly, campaigns like Demand Gen can be used to drive more conversions on YouTube and other Google networks. On TikTok, users shape their purchasing decisions by interacting with videos on topics like fashion, hairstyles, and meal prep. These platforms allow brands to connect with their target audience and promote their products in a natural, fun, and informative way. Consequently, campaigns prepared for the "Back to School" and "Return to the City" period can reach wider audiences, holding the potential to increase sales.Back-to-School Shopping Trends (fashion, beauty, home life, food & beverage)Back-to-school shopping is a time when students and parents focus not only on school supplies but also on their personal style, living spaces, and daily routines.In the fashion category, students prefer comfortable and casual clothing, while parents search for clothes for special occasions like school trips for their children, as well as for themselves, with styles like "cool mom" outfits. Bags are also a major focus; searches for "university bag," "college bag," and "cute school bags" show a significant increase.In the beauty realm, practical solutions like "easy hairstyles" and "simple makeup looks" are prominent for time-crunched students, while parents also search for "school hairstyles" for their children.Distinct trends are also observed in the home life and food & beverage categories. Students look for decoration ideas to make their dorm rooms feel "like home," searching with keywords like "cozy dorm room" and "study desk decor." Parents, on the other hand, focus on reorganizing the home to ensure their children are ready for the new term. They seek inspiration for study areas and storage solutions with searches like "kids' study desk ideas" and "school bag storage."In the food & beverage category, both students and parents research ways to prepare practical and nutritious meals for busy school days. Searches like "easy healthy meal prep," "school lunch ideas," and "healthy breakfast for kids" are among the most popular topics of this period.Frequently Asked QuestionsWhen does the back-to-school period start and how long does it last?The back-to-school period generally begins about a month before schools open, in August, and continues until the end of September. However, conversations and searches related to shopping and preparations start to increase as early as July. It is recommended that brands launch their campaigns in August and continue them throughout September to make the most of this busy period.What are the most preferred products for back-to-school shopping?The categories with the highest spending during back-to-school shopping are stationery, clothing and shoes, and books. In addition, technological products, school bags, lunch boxes, and home decor items also attract significant interest. Searches like "backpack organization," "cute school supplies," and "dorm room ideas" are particularly popular on digital platforms.