Dmitry Nekrasov

𝐓𝐡𝐫𝐢𝐯𝐢𝐧𝐠 𝐀𝐦𝐢𝐝 𝐭𝐡𝐞 𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐒𝐥𝐨𝐰𝐝𝐨𝐰𝐧: 𝐀𝐝𝐚𝐩𝐭𝐢𝐧𝐠 𝐭𝐨 𝐍𝐞𝐰 𝐑𝐞𝐭𝐚𝐢𝐥 𝐑𝐞𝐚𝐥𝐢𝐭𝐢𝐞𝐬 - 𝐒𝐥𝐨𝐰𝐞𝐫 𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐆𝐫𝐨𝐰𝐭𝐡: Global e-commerce sales are expected to grow by 8.8% in 2024, down from an earlier estimate of 10%. This slowdown is more pronounced than anticipated, signaling a shift in consumer behavior and raising concerns for online retailers. - 𝐍𝐞𝐞𝐝 𝐟𝐨𝐫 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐢𝐧 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐑𝐞𝐭𝐚𝐢𝐥: As online sales growth slows, retailers that have relied heavily on e-commerce may need to shift focus towards physical stores. This includes ramping up investment in brick-and-mortar locations and experimenting with new selling models, such as social commerce, to attract and retain customers. - 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐒𝐭𝐫𝐨𝐧𝐠 𝐁𝐫𝐚𝐧𝐝𝐬: Brands with strong fundamentals and healthy financials are likely to be more resilient in the face of this slowdown. These brands are better positioned to adapt to changing consumer preferences and maintain growth across both online and offline channels. - 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐂𝐨𝐧𝐬𝐮𝐦𝐞𝐫 𝐀𝐭𝐭𝐢𝐭𝐮𝐝𝐞𝐬: Consumers are increasingly finding less value in online shopping, with fewer people perceiving online purchases as offering a better deal. Factors like rising logistics costs have led retailers to raise free shipping thresholds and charge for returns, which has further dampened enthusiasm for e-commerce. - 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐑𝐞𝐭𝐚𝐢𝐥 𝐄𝐱𝐩𝐚𝐧𝐬𝐢𝐨𝐧: To offset the e-commerce slowdown, some brands are using data-driven strategies to open physical stores or pop-up shops in locations with high customer demand. This approach helps maintain profitability and caters to consumers who prefer shopping in physical stores. - 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐒𝐨𝐜𝐢𝐚𝐥 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞: As traditional e-commerce channels slow, brands are encouraged to explore social commerce, particularly on platforms like TikTok. Social commerce has driven significant growth for brands like Shein and Temu, especially in regions like Asia, and is seen as a potential area of expansion for North American brands. - 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐏𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐧𝐬𝐮𝐦𝐞𝐫 𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬: While e-commerce has dominated in recent years, there is now a shift back towards more rational, profit-driven retail strategies that include a stronger focus on physical retail. - 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐎𝐯𝐞𝐫𝐚𝐥𝐥 𝐁𝐫𝐚𝐧𝐝 𝐇𝐞𝐚𝐥𝐭𝐡: Instead of solely concentrating on e-commerce growth, brands should prioritize overall brand health. A strong brand will naturally perform well across all channels, mitigating the impact of any slowdown in one specific area.

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Simplified Explanation of Agentic Workflow An agentic workflow uses AI-powered agents to perform tasks and make decisions without constant human help. These agents can: 1. Gather Data: Collect information from their environment. 2. Analyze and Decide: Process the data to decide the best actions. 3. Act: Carry out tasks based on their decisions. 4. Learn and Improve: Adapt and get better over time through feedback. Benefits - Efficiency: Handle repetitive tasks quickly. - Scalability: Easily manage increasing workloads. - Consistency: Perform tasks reliably. - Adaptability: Adjust to new situations. - Cost Savings: Reduce labor costs. - Better Decisions: Provide insights and automated responses. Imagine having AI agents that can: - Handle repetitive tasks - Make smart decisions - Learn and improve over time What are some workflows in your life or business that would benefit from an AI agent doing the work for you? Share your thoughts! 💡 #AI #Automation

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Search intent is what the audience wants, not how the business tries to categorise it. The sooner the business perspectives (informational, transactional, commercial, naval-gazional) are junked and people focus on customer experiences the better.

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Benchmarks for Marketing Systems in SaaS and E-commerce 👁️‍🗨️ 👨‍🎨 In 6 pages 🔥 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ᶜᵒᵐᵐᵉⁿᵗ ᴹⁱˢᵗᵃᵏᵉˢ ᴵ’ᵐ ᵍᵒⁿ ˢᵉⁿᵈ ʸᵒᵘ ᵒᵘʳ ᴳʳᵒʷᵗʰ ʰᵃᶜᵏⁱⁿᵍ ᵗᵉᵐᵖˡᵃᵗᵉ ⁺ ⁽ᵃ ᴮᵒⁿᵘˢ ᴾˡᵉᵗʰᵒʳᵃ ᵒᶠ ᵐᵃᵗᵉʳⁱᵃˡ ⁱⁿ ᵒᵘʳ ˢᵉᶜʳᵉᵗ ˢʰᵒᵖ 👀⁾ I’m Hassan Elmaghraby loved or hated this post? leave a comment & engage & share! 💙💜 GET OUR FREE PRODUCTS💵 (Mindmaps, Growth Roadmaps & Checklists etc) 3X your growth through these Marketing resources & Skills! DM Me Free! 💬 𝒢𝐸𝒯 𝒢𝑅𝒪𝒲𝐼𝒩𝒢 𝒩𝒪𝒲! 𝐵𝒪𝒪𝒦 𝒜 𝒞𝒜𝐿𝐿 𝐹𝒪𝑅 𝐹𝑅𝐸𝐸 𝒢𝑅𝒪𝒲𝒯𝐻! 💥💯 the only Growth agency in the world that works in Percentage aka for FREE, no upfront fees at all! don’t be shy partner🤠 **PS: If you share this post to any 10 people you will get a 50% Discount off of Hassan Testing Kit!** 🧪5️⃣0️⃣ #Growthhacking #plg #SaaS #Datatesting #marketing #Referral #churn #Loyalty #digital_analytics #GTM #Google_analytics #ecommerce #data_layers #dataanalytics #shopify #wordpress #analytics_tools #Marketing_Systems

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Dating App Marketing Strategies: Boost Your App with ASOWorld >>> https://bit.ly/46oD8kJ 💡 Market Insights: $5.34B revenue in 2022 Over 300M users globally 🌍 💡 Top Apps: Tinder, Bumble, Badoo 💡 ASO Strategies: - Keyword Optimization - User Reviews - Seasonal Marketing #DatingApp #ASO #AppMarketing #UserEngagement #AppGrowth

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The Marketing Efficiency Ratio (MER) does not address attribution. MER evaluates the overall effectiveness and efficiency of marketing efforts by comparing the cost of campaigns to the resulting outcomes. On the other hand, attribution provides insights into which specific channels or touchpoints are driving conversions. So, for brands claiming to optimise for MER, let's rephrase this: you're currently optimising 'in the dark,' attempting to make marketing more efficient. Use MER for a holistic view of marketing performance and attribution models for a detailed analysis of individual marketing efforts' contributions to your performance. Attribution models aren't perfect and can be confusing. Which is most effective: first-touch, last-touch, linear, or some kind of AI model? In my opinion, ensuring profitability across all marketing channels, campaigns, and ad sets is crucial, regardless of the attribution model applied.

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You should not make the ‘Checkout Journey’ report an open funnel in #GA4 because the checkout journey represents a linear process where each step must be completed in a specific order to proceed to the next. A closed funnel ensures you are analysing users who follow the intended path. Since the closed funnel tracks users who complete all steps, it provides an accurate insight for your checkout process.

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Maximizing App Visibility: Uniting ASO and ASA In the crowded Apple App Store, combining App Store Optimization (ASO) and Apple Search Ads (ASA) is crucial for boosting your app's visibility and downloads. 🚀 Key Points: ASO enhances your app’s organic appeal through optimized metadata and visuals. ASA positions your app in front of targeted users through strategic ad placements. Why Integrate? Integrating ASO and ASA not only increases your app’s discoverability but also enhances keyword strategies and conversion rates, leveraging data from ads to refine your app’s organic presentation. Takeaway: By aligning your ASO and ASA strategies, you're setting your app up for better visibility and higher conversion rates. Start integrating these tools today and watch your app climb the ranks! 📈 https://lnkd.in/e8-ZutX3 #aso #asa #ios #appstoreoptimization

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Advertising Cost Models Explained: learn how to effectively allocate your ad budget and maximize your ROI by understanding six key advertising cost models. We'll break down the benefits, best use cases, and practical examples for each model. 🎥 Tune in: https://lnkd.in/dmNcUiwN Subscribe to our channel for more industry insights and tips! #UBIDEX #Advertising #CPC #CPM #CPI #CPA #CPV #CPL #MarketingStrategy #ProgrammaticAdvertising

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📈 Search volume for "Marketing Mix Modeling" (MMM) has increased 3x since 2021. This is just one datapoint capturing the recently increased interest towards MMM-based marketing ROI measurement. Why is this happening? My view: 1️⃣ Google and Meta have started driving MMM's adoption Visible examples: - Launch of open-source modeling libraries (Meta's Robyn, Google's Meridian). - Creation of measurement guides featuring MMM (e.g., Google's Modern Measurement Playbook by Brenton Lewis & team). - MMM on stage in conferences (e.g., recent Meta Measurement Forum by David Choe & team). 2️⃣ Incrementality has become a popular and broadly accepted concept By using incrementality tests and/or MMM, more and more marketers are questioning whether their current KPIs reflect incrementality or not. For example, Ad platform -reported conversions do not reflect true incrementality. They include conversions that would occur anyway, and conversions that are driven by other media. 3️⃣ Privacy trend is negatively affecting attribution-based measurement solutions The rise of website consent forms has been decreasing Google Analytics 4's ability to track online users' behaviour. Multi-touch attribution solutions, on the other hand, are adversely affected by shorter cookie expiration times and the upcoming deprecation of 3rd party cookies in Chrome. 4️⃣ MMM can be used in more tactical use-cases due to more granular results Examples: Performance marketing teams at ecom companies can use MMM to measure ROI of Ad platform-level campaigns. Omnichannel retailers can use MMM to plan cross-channel marketing campaigns. 5️⃣ It's easier than ever to take MMM into use due to data connectors Data connectors from companies like Supermetrics have made MMM onboarding fast and easy, especially for ecoms and other digital-heavy advertisers. Digital data can be onboarded within hours. Is there anything you would challenge, or add to the list?

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Data-driven decisions enhance affiliate marketing success. Tomba.io provides valuable insights for optimization. Utilize Tomba.io to: Segment Contacts: Personalize outreach based on detailed profiles. Measure Performance: Use analytics to refine strategies. Improve ROI: Focus efforts where they yield the best results. By leveraging data, you make informed decisions that drive growth. Optimize your affiliate campaigns with Tomba.io's data insights.

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Google AI Overview: Declining Visibility Across Key Industries: Recent data reveals a significant drop in Google AI Overview's visibility on SERPs from April 2024 to August 2024, as highlighted in Gartner's analysis. The decline is especially evident across key sectors: >> Healthcare saw visibility drop from 69% to 28%. >> Consumer Goods dropped sharply from 94% to 19%. >> Financial Services fell from 42% to just 6%. >> Manufacturing, Retail, and Travel & Hospitality experienced similar declines, with some industries nearing zero visibility. This dramatic shift raises important questions about AI's evolving role in search and how industries can adapt their strategies to remain discoverable and relevant.  What’s your take on these trends? Are you seeing similar impacts in your industry? #AI #SearchEngine #DigitalTrends #GoogleAI #BusinessStrategy #SERPVisibility #IndustryTrends #MarketingInnovation #DigitalTransformation #GartnerInsights Source: AI in Marketing How to Prepare for the Future of Search - Gartner Webinar Gartner GNIMS Business School IES's Management College and Research Centre (IESMCRC)

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*Adsense Arbitrage Course (Google Adsense + Facebook Ads)* Adsense arbitrage is a method where you buy traffic from many advertisers especially Facebook and Native ads (Taboola, Outbrain, Revcontent,…), and sell that traffic to Google Adsense at a higher price. For example, let’s say you bought 1000 users from Facebook at $10, and among those 1000 people 50 or 5% click on your Google AdSense ad. Adsense paid you $0.40 per click. $0.40×50= $20. *Buy NoW* 👇👇👇👇👇👇 https://lnkd.in/d8y9WV3R

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Seeking Expert Advice on Google Ads Conversion Tracking 🚀 We’re looking for someone who can help us set up conversion tracking for Google AdSense! 🔍 The Challenge: We want to accurately track the revenue generated per session or per user visit and leverage this data in Google Tag Manager (GTM) for conversion tracking with Google Ads. Is there a tool, software, or proven method to efficiently track and attribute revenue on a per-session basis? We’re eager to hear from experts who have tackled similar challenges! If you’ve got insights or experience in setting this up, we’d love to connect and collaborate. #GoogleAds #AdSense #GTM #ConversionTracking #RevenueTracking #Analytics #TechHelp

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