Techinfinity’s Post

One trait you NEED if you sell expensive products online: Patience.  Higher price tag usually means lower sales volume. And lower sales volume means less data on what’s working. I see lots of brands selling high-ticket items make mistakes because they want to move too fast. Here's where they go wrong: 1. They test too many ads Sales are spread out thinly between all the creatives. So you never have statistically significant results on what’s working. 2. They change targeting too often Similar to above. With fewer conversions coming in, you likely haven’t left enough time between changes to be able to have statistically significant results on what’s working. 3. They make decisions on leading metrics (not sales data) Some brands' leading metrics correlate with sales. But a lot of brands have zero correlation between CPM/CTR and Sales. If you try replace conversion data with leading metrics data, you can easily end up backing the wrong horse. On the upside, you’ve usually got great margins. You just have to get comfortable moving more slowly. And being more choiceful in what tests you run. Because you can’t run as many tests as high volume brands. #ecommerce #paidads #creativeandmedia

Transparency conversations continue to bubble up in the fast-growing retail media network space. In response, some marketers are getting creative to gain in-depth insights around customer acquisition, sales attribution and more. For daily news and analysis subscribe to the https://lnkd.in/gSqWc6DP newsletter. #Marketing #Marketers #Advertising

𝐇𝐨𝐰 𝐈 𝐇𝐞𝐥𝐩𝐞𝐝 𝐚𝐧 𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐒𝐭𝐨𝐫𝐞 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐒𝐚𝐥𝐞𝐬 𝐛𝐲 𝟑𝟎% 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 In the ever-evolving world of eCommerce, staying ahead of the competition requires innovative strategies and a keen understanding of market trends. Here's how I helped an eCommerce store boost their sales by 30% using data-driven strategies. 𝟏: 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐥𝐢𝐞𝐧𝐭'𝐬 𝐍𝐞𝐞𝐝𝐬: The client needed to increase their sales while optimizing their advertising budget. We started with a comprehensive analysis of their current performance. 𝟐: 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐓𝐚𝐜𝐭𝐢𝐜𝐬: By analyzing customer behavior and market trends, we tailored advertising campaigns that directly targeted their ideal customers. We utilized tools like Google Analytics and Facebook Insights to refine our approach. 𝟑: 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: Within three months, the client saw a 30% increase in sales. Our data-driven approach not only boosted their revenue but also enhanced customer engagement and brand loyalty. This #success story highlights the importance of using data to drive your advertising strategies. If you're looking to achieve similar results, let's connect and discuss how we can work together. Follow Mehtab Alam for more tips #eCommerce #SalesGrowth #DataDrivenStrategies #Advertising

If you're running ads and not collecting zero party data during signup to optimize your creative and copy, you're 100% wasting money. Always prioritize getting to know your customers Make them feel that you actually care about their journey People need to feel like you are actually listening to them Every touchpoint is a chance to get to know them better Don't wait to ask them after they have made a purchase So many people wait until it's too late then chase them with a survey Usually this results in some pretty poor response rates Causing a very skewed and limited view on your customer base Knowledge is power, the more you acquire the better you can improve So do the right thing, build that customer journey Happy Friday Everyone. #ecommerce #ads #data

Do you know which of your products has the lowest CAC? Team Admetrics just rolled out product-level marketing KPIs 💥 These new metrics are designed to help e-commerce marketers sharpen their marketing strategies, optimize expenditures, and boost customer acquisition by looking at the following marketing KPIs - each available on product, variant, and category level: 👟 Product Marketing Spend: Track your marketing expenditures for each product, variant or category 👟 Product ROAS: Measure the revenue generated for each dollar spent on marketing 👟 Product POAS: Calculate the profit (CM2) generated for each dollar spent on marketing 👟 Product New Customer ROAS: Analyze the revenue from new customers attributed to advertising 👟 Product CAC: Determine the customer acquisition cost on product-level 👟 Product CPO: Keep tabs on the cost per order 👟 Product CM3: Evaluate net profitability after marketing expenses 👟 Product EBITDA: Gain insights into EBIT per product. As of right now all these metrics are available for use in any of Admetrics' dashboards and reports. Feel free to book a demo with us here: https://lnkd.in/e6SDnuxX #productanalytics #innovation

Not all metrics are made equal. Make these 3 shifts to elevate your insights. 1. Revenue-based LTV -> Profit-based LTV Many e-commerce analytics tools make a primitive mistake. They fail to prioritize profit contribution above revenue. Some argue that the primary goal of marketing is to drive revenue - profit is secondary. But if your brand loses money on every customer it acquires, the least you need to know is when (if ever) you recoup the acquisition cost. And that means looking at profit after deducting all variable costs. Revenue-based LTV will not do the trick. 2. ROAS -> ROMI (Return On Marketing Investment) ROAS is a flawed metric. Return =/= revenue. Return = profit. ROAS only considers revenue generated for every $1 spent. ROMI considers profit generated for every $1 spent. ROMI = Gross Profit / Marketing ROAS is not bad in relative terms, but ROMI is the real "return" on marketing. 3. AOV -> AOV Levers AOV lacks context. It's a metric that consists of at least 4 levers: AOV = AUR (average unit retail) * UPT (units per transaction) * DR (discount rate) * RR (return rate) Deeper insights stem from granularity. Focus on the levers when crafting a strategy. --- KPI paralysis is real. Tracking and actioning the right metrics is 50% of the battle. If you were Abraham Lincoln, spend the first 5 (yep, not 4) hours finding the right metrics, and only 1 hour analyzing their impact. P.S. if you need help understanding which metrics to focus on, DM me! #ecommerce #founders

67% increase in repurchase rate, ⬇️ product costs, & ⬇️ ad spend … all achieved with insights from Decile reports. Specifically: 👉 CAC, LTV and Payback Report 👉 Comparative Analytics Functionality Cutting costs while increasing repurchase rates? A win all around 🙌 See how they did it 🔗 https://bit.ly/45AQUjR

Useful tips by Arpan Banerjee #googleads #Pmax

You've got a product with different colors or sizes. One of them - let's say the red one - is getting all the clicks.... Plot twist! Shoppers are purchasing the black one. What do you do? 📊 Understanding the Disparity 📊 When advertising a product with variations, it's not uncommon to see ad clicks for one specific variation resulting in sales for another. This could lead to a scenario where ad data suggests one variation is outperforming the rest, even if your business reports say something different. This dynamic makes variation level TACoS looking BAD! Ad console is saying the ACoS is 25% but a quick TACoS calculation reveals that SKU is at 50%! What's the right call here? 💡 Actionable Strategies 💡 Data Analysis: Delve into the Purchase Product Report. This report will show you the path from click to purchase. Optimize for Performance: Prioritize advertising the variation that demonstrates the best ad performance. It's often tempting to only look at business report, however ad performance and overall purchase performance don't always align. Holistic View: It's essential to take a holistic view of the data. Meaning calculate TACoS and Ad sale percentage at the listing level. If the product as a whole healthy? Have you encountered similar issues when advertising variations? How do you tackle it? #AmazonAdvertising #Ecommerce #AmazonPPC #AdStrategy