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Slow websites kill conversions. Not long ago, a brand came to us struggling. Their traffic was strong, but sales were stagnant. Customers were abandoning their carts, bounce rates were high, and revenue wasn’t where it should be. The culprit? A slow-loading website. Every extra second it took for their pages to load was costing them potential sales. The reality is that online shoppers have little patience. Studies show that even a 1-second delay can cause a 7% drop in conversions. If your checkout process lags, customers will leave. If your product pages take too long to load, they’ll go to a competitor. The good news? Speed optimization isn’t just about fixing a slow site—it’s about unlocking higher conversions and better user experience. Here’s how to do it: - Compress images and optimize code to reduce load times - Invest in high-performance hosting and implement proper caching - Simplify your UX to ensure a seamless, fast checkout experience This particular brand took action, and within weeks, their site speed improved, bounce rates dropped, and sales went up. If your ecommerce store is slow, so is your revenue growth. Speed it up before your customers leave for good. Need help optimizing your website? Let’s talk. AbsoluteWeb.com

Listen up, writing content in a brand's voice can take time to figure out. But there's a shortcut that makes it a little easier. Step 1: Figure out the movie and TV characters that embody your brand. For example, if I'm a brand that wants to be a millennial's quirky bestie, I may look at characters like: -Abed and Troy from Community, a little out there but always up for helping -Phoebe from Friends, a little wild, but always supportive and kind -Darryl from Crazy Ex Girlfriend, over the top loving, but also weird Step 2: Find a few clips that do a great job showing how they talk and react to different situations. If a friend did something amazing, how do they congratulate? If someone they know needs help, what's their response? If they are making an announcement, how do they frame it? Step 3: When writing, ask yourself "would that character say this?" It makes it more natural than trying to make something out of stale brand guidelines. Speaking of which... Step 4: Once you get more comfortable with it and develop the tone, update the brand guidelines (with approval) so they feel super realistic. We've got a social media writing guide that not only includes the characters and approved reference clips, but also a list of things they do and don't write. What character would your brand be?

Is Your Brand Speaking the Right Language? Here’s How to Create a Voice That Truly Resonates (Hint: It’s more than just words—it’s how you make your audience feel) In today’s market, your brand’s voice is everything. It’s not just about the tone; it’s about the emotional connection you create with your audience. But how do you craft a voice that doesn’t just sound good, but feels right? Here’s a framework to help you build a voice that speaks to your audience on a deeper level: 1. Tap Into Your Audience’s Emotions Before you can speak their language, you need to understand their feelings. What keeps them up at night? What excites them? Your voice should align with these emotions. Pro Tip: Conduct surveys, read reviews, and join conversations where your audience hangs out to uncover their emotional triggers. 2. Anchor Your Voice in Core Values Your voice should echo your brand’s core values. Are you innovative? Trustworthy? Empowering? Let these values shape every word. Try This: List your top 3-5 values and brainstorm how they translate into your brand’s tone and style. 3. Personify Your Brand Think of your brand as a person. What traits define them? Are they friendly, authoritative, witty, or compassionate? These traits will help you maintain a consistent voice. Hack: Create a brand persona that embodies these traits. Use it as a guide for all your communication. 4. Meet (and Exceed) Audience Expectations Your audience has specific expectations. Are they looking for expert advice or a more casual chat? Align your voice with these expectations without losing your brand’s unique identity. Example: If your audience values expertise, an authoritative tone might be your best bet. 5. Test, Learn, Refine Start using your voice across all channels and listen closely to the response. Watch for engagement, feedback, and shifts in perception. Remember: Your brand voice isn’t static. Be open to tweaking it as you learn more about what resonates with your audience. Creating a brand voice that emotionally connects isn’t about following a formula—it’s about knowing your audience and communicating with authenticity. Start with this framework, and you’ll be on your way to building connections that matter. Question: What’s one word that best describes your brand voice? Drop it in the comments—I’m curious to see what you come up with! ♻️ Repost this if you found it valuable—let’s help more brands find their voice!

When I interviewed Stephan Waldeis, VP of eCommerce Europe at Husqvarna Group, he said this about tracking real-time data and retailer partnerships. “We track customer behavior, we track inventory levels at our partners, we track sales performance — and of course, we possibly... we track all of that in real time. Imagine, our robots — at least the ones from the last 10+ years — are all connected. So, we have a lot of insights in which gardens they are driving, when they are operating, etc. And that is data that we are leveraging, but also data that we are sharing with our channel partners. That’s great even for the channel partners who are not really interested in operating an eCom site. We provide them with a lot of insights… what kind of products are interesting in your area, because we know exactly from visits on our site, which products in a particular region are more relevant — in Amsterdam versus in Berlin versus in Munich.” 𝗛𝗼𝘄 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗲 𝘁𝗵𝗶𝘀 𝗳𝗼𝗿 𝗖𝗣𝗚 𝗯𝗿𝗮𝗻𝗱𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱 𝘁𝗼 𝗳𝘂𝗲𝗹 𝗴𝗿𝗼𝘄𝘁𝗵? 1️⃣ Activate Real-Time Retailer Collaboration Track and share real-time consumer behavior, inventory, and sales data with retail partners — even those with limited digital capabilities — to strengthen joint decision-making, optimize local assortments, and drive smarter sell-through at the shelf. 2️⃣ Localize Product Strategies with Regional Demand Signals Use geo-specific browsing and purchase data to tailor product recommendations, promotions, and stock levels at the city or neighborhood level — what sells in Amsterdam might flop in Berlin if you don’t read the digital shelf signals correctly. 3️⃣ Turn Connected Product Data into a Competitive Advantage Leverage connected device insights (where available) not only for product innovation but as a marketing and retail sales weapon, identifying usage patterns, seasonal trends, and regional preferences that can feed back into supply chain, DTC, and retail media strategies. 𝗧𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝗮𝗹𝗹 𝗼𝘂𝗿 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗼𝗹𝗹𝗼𝘄 ecommert® 𝗮𝗻𝗱 𝗷𝗼𝗶𝗻 𝟭𝟰,𝟬𝟬𝟬+ 𝗖𝗣𝗚, 𝗿𝗲𝘁𝗮𝗶𝗹, 𝗮𝗻𝗱 𝗠𝗮𝗿𝗧𝗲𝗰𝗵 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 𝘄𝗵𝗼 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲𝗱 𝘁𝗼 𝗲𝗰𝗼𝗺𝗺𝗲𝗿𝘁® : 𝗖𝗣𝗚 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗚𝗿𝗼𝘄𝘁𝗵 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿. About ecommert We partner with CPG businesses and leading technology companies of all sizes to accelerate growth through AI-driven digital commerce solutions. Our expertise spans e-channel strategy, retail media optimization, and digital shelf analytics, ensuring more intelligent and efficient operations across B2C, eB2B, and DTC channels. #ecommerce #dataanalytics #CPG #FMCG #data Milwaukee Tool Bosch Makita U.S.A., Inc. STIHL Mondelēz International Nestlé Mars Ferrero General Mills L'Oréal Henkel Beiersdorf Colgate-Palmolive The Coca-Cola Company Unilever L'Oréal Coty Kao Corporation adidas Nike New Balance PUMA Group the LEGO Group Sony Panasonic North America Bose Corporation

"How do we double our monthly sales?" 👆A client sprung this question on us not too long ago. Here's exactly how we answered: First, we did a comprehensive brand audit. We needed to understand their metrics compared to category medians and top competitors. One of the things we found was that their customer conversion rate was overall lower than the category median. So, spend more money on ads, right? But before even beginning to think about spending more money on ads, we needed to look at the basics first. Too often, brands jump straight into throwing more money at ads without addressing the root of the issue. Product page, promotional strategy, pricing strategy. Then, we systematically addressed each area for improvement. Here's the checklist we used. 1. Listing Improvement: • Improve main product images • Make text more readable • Highlight key benefits (e.g., "Melatonin free sleep support") • Optimize for mobile viewing 2. Competitive Analysis: • Study top performers in your category • Highlight popular features (e.g., "vegan" for supplements) 3. Enhanced Product Information: • Improve A+ content • Add clear usage instructions (consider QR codes) • Address common issues to boost ratings 4. Strategic Pricing and Promotions: • Analyze competitor pricing and deal frequency • Implement regular promotions in price-sensitive categories • Use coupons for increased visibility in ads Remember: Boosting ad spend is often the last step, not the first.

The biggest marketing arbitrage for brands right now? Building a cross-channel creator community. If you're on TikTok Shop, this means launching a DTC creator affiliate community and pushing those affiliates to repurpose their content across all channels. Here's how to do it, even if you're not planning to scale big from the start: Base level - Protect your investment + boost performance: 1. Set up with Superfiliate or Social Snowball if you're a Shopify brand on TikTok Shop. 2. Create a Discord channel for all creators to protect against platform disruptions. 3. Give affiliates unique discount codes or links. 4. Coach them to share TikTok content on IG Reels, YouTube Shorts, and Meta Reels. This multiplies impressions, engagement, and sales without additional product seeding. But that's just the beginning... Advanced - Scaling your cross-channel community: 1. Build monthly influencer lists of 4k+ creators on Instagram and YouTube. 2. Use tools like Saral and Onsocial for sourcing. 3. Filter for followers (2k-100k) and engagement rate (2%+). 4. Use cold email software for outreach at scale. 5. Set up a 3-step email sequence with an auto-reply for interested influencers. 6. Seed product to new influencers. 7. Create an onboarding flow with Klaviyo, including a welcome challenge. 8. Invite active creators to your Discord. 9. Push Instagram and YouTube affiliates to create TikTok Shop content / and vise versa 10. Use your community as a content engine for UGC and partnership ads. This strategy onboards 100+ new opt-ins monthly to your DTC affiliate program with minimal friction. It's the direction we're pushing our clients to increase affiliate performance while protecting against potential platform disruptions. Remember, it's all about maximizing your reach and minimizing risk. Cross-channel is the future.

I put together a step-by-step guide to help you implement LLM Optimisation the right way for E-commerce. In this carousel, you’ll find the high-level overview. The full version includes: → How to generate a structured product feed (CSV, JSON, XML) with the right attributes: title, GTIN, MPN, price, availability, and product URLs → How to apply Schema . org Product markup using JSON-LD, with full code examples → How to configure your robots.txt to allow GPTBot, OAI-SearchBot and PerplexityBot access to your PDPs and feeds → How to prerender JS-heavy product pages using static snapshots or SSR → Where and how to submit your feed to Perplexity’s Merchant Program and OpenAI’s early access initiative → How to debug AI visibility using server logs, schema validators, and live prompt testing inside LLM tools If you’re working on e-commerce, SEO, or growth, this is where things are moving. 💬 Comment or DM me, and I’ll send you the full guide. 📌 Save this post if you're not ready yet but know you'll need it.

Algorithmic merchandising was our catalyst for a 62% increase in revenue – with the same traffic. Here's our crazy experiment👇 We ran a crazy experiment over the last couple of weeks. While analyzing the data to find the next big growth lever for one of our longest-standing brands I’ve noticed something interesting. Over 32% of the site-wide traffic was hitting collection pages. Also, I identified some outperforming products (hidden champions) that were getting a lot of clicks even though they weren't in prime positions. On the other hand, some products that were getting the most impressions weren't performing as well. People stopped browsing more often when there were a lot of poor performing products in the visible space. So good products didn't even get a chance to be shown to many people. What if we could change the allocation of these products? – Give good products more visibility and bad products less. The challenge now was to find those outliers and position them accordingly. The real breakthrough came when I figured out how to use this data to improve product placement on collection pages. My approach went beyond just tracking clicks. I looked at several key metrics to get a full picture of how each product is doing: → CTR by position → Basket Rate → Purchase Rate: → 90-day Product LTV These 4 indicators were fed into RetentionX's machine learning process to generate a performance indicator that creates a score from 0-100. Products that weren’t performing as well in their current spots were moved to less prominent positions, freeing up space for the real stars — the products that were outperforming expectations. For the first time, our customer had a clear strategy for how to present their products, one that went beyond just gut feelings and good looks. They could now combine our automated insights with their own logic for sorting products—like aligning email campaigns with what customers would see on the site, push new arrivals and demote low stock items. The changes we made had a noticeable impact. Collection pages, which had been somewhat overlooked, suddenly became the go-to place to track what was happening with their customers and how their products were being perceived. The numbers told us we were on the right track, and remember this is a $40M+ brand: → 62% More Profit from the Same Traffic → 27% Additional Increase in Revenue → 23% Higher Conversion Rate → 12% Increase in AOV → 18% Increase in Basket Rates When we saw how well this approach worked, we knew we couldn't keep it to ourselves. So Merchandise Automation is now part of our RetentionX Core product. Read the full case study here: https://lnkd.in/dHh_Sbkp

One billion people experience disabilities.  As merchants, we talk about serving customers yet design systems that restrict many from even shopping.  This not only hampers sales but fails basic ethical standards. Common obstacles that lock out users:   - Tiny/low contrast text that visual disabilities cannot decipher - Pages without alt text descriptions excluding the visually impaired  - Keyboard limitations hampering those without touch capability The solutions exist through inclusive e-commerce design.  Optimizing for accessibility is proven to increase conversion rates while expanding market reach. Standards like WCAG outline the building blocks:  - Add explanatory alt text for images - Structure logical page layouts   - Ensure color contrast  - Allow keyboard navigation This should be table stakes, not a "nice-to-have."  Equity in commerce will become the next competitive frontier.

We don't pay for any Amazon reporting. Amazon's Search Query Performance report tells us how customers discover our listings. This report tells sellers search volume, impressions, clicks and purchases for their top 1k keywords. Both in total and our brand's market share. To find this report: Brand Analytics ➔ Search Analytics ➔ Search Query Performance   At the top, toggle between 2 ways to view search data: ➔ "Brand View": 1k most important search terms to your brand. ➔ "ASIN View": 100 most important search terms by ASIN.   First: Organize & Label the Data.   Export the top 1k keywords by week as far back as possible. Merge into 1 spreadsheet. A free chrome extension makes this very easy. I'll share it at the end.   In a new tab, list each unique search term and add columns with fields you'd like to filter by. Match these fields into the main dataset. These are the fields I add:  • Keyword type: Branded, Generic or Competitor • Competitor: Yeti, Hydro Flask, etc • Product Type: Adult Bottle, Kid's Bottle, Backpack, etc. • License: Character or Sports Team   Now I can see our performance when customers search for Yeti, ice buckets, Paw Patrol, our branded keywords, etc.   Here are a few ways I look at the data:   1. Search Type   One of my favorite charts is the % of our clicks coming from branded, generic and competitor search terms.   Successfully brand building means more clicks from branded search terms over time.   Generic keywords drove 60% of clicks into our listings. Now branded keywords drive most of our clicks. Growing clicks from branded search is important, this is how we track it. (chart below)   2. How Are Customers Finding a Listing?   Pulling the "ASIN View" report for every ASIN in a listing shows exactly how customers are finding your listing.   For our kids listings, character specific keywords are a huge driver. They sum up to be about 40% of traffic.   "Spiderman Toys" has been a great keyword for us. We can know how we're doing YoY on keywords like this.   3. Amazon Ads Incrementality   Knowing if Amazon Ads are increasing total sales is one of life's great mysteries.   Match this report with Amazon Ads click data by keyword & date.   Test turning on and off campaigns and watch what happens to clicks in the SQP report.   The change in average clicks from a keyword is what ads are actually producing.   You can understand how much money you are lighting on fire with branded ads. Only 20% of branded ad clicks are incremental for us.   4. Simple Modern vs Competition's Search Volume   We compare total searches and clicks for our brand to competitors by week.   It shows relative brand health and who's trending up/down.   It shows us passing Hydro Flask over the last 2 years.   5. Flipping Competitor's Customers   With this data, you can see search volume for competitor keywords.   If successful, this is a great customer acquisition tactic. A great use for SP ads.   10% of our clicks come from competitor keywords.