Canada Goose is a great example of how brands can leverage custom labels in Catalog Ads, which on average boost ROAS by 37%. ☃️ Their Catalog Ads use custom_labels to share detailed product information, like which winter jackets are made for which temperatures, and it helps the viewer to buy the right winter jacket for them. Should you buy the winter jacket designed for -10°C or one suitable for temperatures below -30°C? ❄️❄️ It's reassuring to know that you won’t freeze! Why do custom_labels work so well? ❄️They simplify the shopping experience: With all the relevant product info up front, there’s no need to dig through pages to find the right option. ❄️They make your ads more relevant: When you provide specific product details, customers feel more confident that they’re making the right choice. ❄️They increase ad performance: Fewer clicks, more informed buyers, and better overall conversion rates. Simply put, they provide crucial information at an ad level to the buyer. Adding custom_labels to your Catalog Ads isn’t just about more details—it’s about showing customers you care about helping them make the right choice. When you remove barriers in the buying process, you get better results, and the numbers prove it: custom_labels can increase ROAS by 37%. ❄️❄️❄️❄️❄️❄️ Info about the data for the nerds: Data is based on 6.5B impressions and $30.8M ad spend from December 2023 to September 2024. Data is across 568 ecommerce advertisers all over the world, using 3k different designs in the time period. All the Catalog Ads in the study were designed with Confect.
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Attention eCommerce brands: Your pixel might be lying to you. I've audited countless accounts and found a shocking trend: Purchase events firing on every page view. This isn't just bad practice. It's budget suicide. Here's what really happens: → Inflated conversion numbers → Misallocated ad spend → Skewed performance metrics → Long-term campaign damage As a digital marketing specialist, I always say: "Your data is only as good as your tracking." Want to truly scale your brand? 1. Audit your pixel setup 2. Ensure events fire correctly 3. Focus on real conversions 4. Make decisions based on accurate data It's not a quick fix, but it's the right one. Have you checked your pixel lately? Share your experiences or ask questions below! 💡Is this helpful? Share it 🔄 and follow, Dhiren Bharda , for more insights like this. #eCommerceMarketing #DataDrivenDecisions #GrowthStrategy #ecommerce #onlineshopping #digitaltransformation #ecommercetrends #productdesign #marketinginnovation #businessstrategy #abtesting
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This Catalog Ads from Canada Goose is good on sooo many levels. They basically show me how cool of a brand they are - but also help me buy the right winter jacket for me. Should I buy the winter jacket meant for -10°c, or the flagship model meant for lower than -30°c? I can now find the right jacket that fits our temperature in my area. But now I also know how they are a brand making jackets for extreme conditions, meant for professional polar adventurers. Topping it all off, they show the product on their own "Thermal Experience Index" (TEI), on a scale from TEI 1 (meant for danish autumn) to TEI 5 (meant for the harshest conditions on earth). Catalog Ads showing custom_labels like this have a 37% higher Return On Ad Spend compared to Catalog Ads that don't show custom information. And the best thing is, that it's typically 100% customized based on your shop and your customers' interests. - for the nerds: Data is based on 6.5B impressions and $30.8M ad spend from December 2023 to September 2024. Data is across 568 ecommerce advertisers all over the world, using 3k different designs in the time period. All the Catalog Ads in the study were designed with Confect.
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🎯 Q4 is the goldmine for eCommerce... but most brands blow it. Why? Because they start prepping too late. 🕒 Want to crush it this Q4? Here are 13 Google Ads strategies you need to nail it: Copy Makeover ✍️ BCFM = cutthroat competition. Stand out or get lost. Make your copy event-specific and laser-focused on what your customers care about. Unique Shopping Ads 🛍️ Your year-round listings? Not gonna cut it. Refresh those product titles in Google Merchant Center. Better yet, create specific product pages for the season. We did this last year and saw conversion rates skyrocket. Smart Pricing Tactics 💰 Three power moves: Sale Prices: Flashy, time-limited deals. Price Drops: Big, bold discounts that shout "BUY NOW." GMC Promos: Special offers waiting at checkout. Use these, and your ads won’t just show up—they’ll stand out. Supercharge Extensions 🚀 These 3 are your best friends: Promotion Extension: Flash those deals right in the ad. Sitelink Extension: Direct traffic to the money pages. Price Extension: Show the goods, flaunt the prices. Segment Sale vs. Non-Sale Products 🛒 Keep ‘em separate, and push more budget towards your sale items. Custom labels = budget allocation magic. Set Your Baseline 🎯 Last year’s data is your crystal ball. Dive in. Use Auction Insights to spy on competitors and set your Q4 targets. Campaigns for Viral Traffic 🌐 If your social ads go viral (fingers crossed 🤞), expect a traffic surge. Be ready. Split your branded and non-branded campaigns, and keep that budget in check. Steal Competitors’ Traffic 🕵️♂️ Two sneaky moves: Bid on their branded keywords. Target their visitors with custom audiences. Easy win. Seasonality Adjustments 🛠️ Google’s secret weapon. Predict when conversion rates will spike, and let Google do the heavy lifting. Real-time bid adjustments = maximum ROAS. Don’t sleep on Q4. Prepare now, or prepare to lose out. 💥 #ecommerce #googleshopping
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In the fast-paced world of e-commerce, sellers often focus on driving traffic and clicks. But here's the truth: traffic is only valuable if it converts. And this is where conversion rates become the linchpin of your ad strategy. Before you invest in advertising on a specific keyword, it's crucial to assess how profitable that keyword will be. This isn't about guesswork—this is about using Brand Analytics data to go deeper into the numbers, identifying trends, and predicting performance before you spend a single dollar. Here’s why you need to look into conversion rates through Brand Analytics: Data-Driven Decision Making: Instead of bidding on keywords with the highest search volumes, Brand Analytics gives you insights into what’s converting for your competitors—and for your category. This allows you to prioritize the most profitable keywords, not just the popular ones. Targeted Advertising: Keyword profitability isn't just about conversion rates. You also need to factor in Customer Behavior Metrics such as search frequency rank and purchase rates. Brand Analytics gives you a vertical view of these metrics, allowing you to align your keyword strategy with real purchase intent. Profitability Before Spend: The last thing any seller wants is to drain their ad budget on underperforming keywords. By understanding your baseline conversion rates with Brand Analytics, you can estimate the profitability of each keyword before you even launch your campaign. This upfront knowledge ensures you’re not just spending but investing in ads that will drive real revenue. At SellerApp, we provide sellers with a comprehensive suite of tools that goes beyond just ad performance. Our platform allows you to identify high-converting keywords, monitor competitor strategies, and simulate profitability—helping you optimize your advertising strategy before you launch. We dive deeper, offering detailed insights into cost per conversion, return on ad spend (ROAS), and keyword profitability so that every dollar you spend on ads is backed by data, not assumptions. This is the kind of precise, data-backed approach that separates top sellers from the rest. By taking a proactive stance and making analytics a core part of your advertising strategy, you can improve not just your ad performance but your entire business trajectory. Ready to dive deeper into your brand’s potential with SellerApp? Let’s ensure that every keyword you bid on translates into higher conversions and greater profitability. #Ecommerce #BrandAnalytics #ConversionRates #Profitability #SellerApp #AmazonSellers #ROAS
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“More traffic = more sales” is the ecom founder myth that just. won’t. die. 12 years in, and I still see brands dumbfounded when I tell them: More traffic ≠ higher conversion rates. Here’s what’s actually happening: 1) More traffic = More variables = Messier conversions. Your shiny higher traffic numbers introduce new variables that skew results. Your ROI starts dipping, and you stop, thinking, “I must’ve done something wrong.” But here’s the kicker: If you kept increasing traffic and tackled those confounding variables, The conversion would increase (as in the image). It sounds easy. But when you are in the trenches with a brand new problem – only the right metrics + right actions can help you. 2) Stop winging it with your $500K ad budget. Trust me, "gut feelings" don’t scale. (Thrilling, sure. But helpful? No.) Here’s what actually works: Tracing everything: sessions, ATCs, checkouts, clicks, conversions, website behaviour, deep surveys, nailing customer voice and many other e-commerce essentials. So you only execute proven moves that have already increased your sales without chewing your nails off. It’s not sexy. It’s not instant in 2 mins. It sure is soothing and loss-proof. Unless the pandemic joins us again. The best moments are when our clients’ ROAS actually justifies their ad spend And conversion rates get higher with the same traffic. Traffic is step 1. What you do with that traffic is what turns browsers into buyers. (The Image shows conversions after optimising for 2 months with very little traffic.)
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We just supercharged our Search and Category Merchandising analytics, with 20+ new metrics! Nosto users now have access to unparalleled analytics for a data-backed, optimized product discovery experience that boosts revenue 📊💸 Read our article for practical examples of how you can leverage these extended analytics. https://lnkd.in/eqbmEQ3j
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Shopping Ads just got a boost. Seller and product ratings now show together! Here’s what you need to know. There are 2 types of ratings for eCommerce websites: 1. Seller Ratings ↳ Represents the store itself: fast shipping, customer service, and packaging quality. ↳ Previously shown only in search ads. 2. Product Ratings ↳ Tied to individual products: product quality, features, usability, and overall satisfaction with the item. ↳ Previously shown only in Shopping ads. Now, both types can appear together in Shopping ads. Take a look at the screenshot I captured while browsing U.S. search results. In the same search, I noticed Shopping ads displaying: → No ratings → Only one type of rating → Both rating types displayed simultaneously Why Use Them? ✓ Builds trust and credibility ✓ Increases ad visibility → higher CTR ✓ Creates a competitive advantage Don’t miss out. Start collecting both rating types! ------------- ✨ Follow me for more #GoogleAds tips ♻ Like or Repost if you found this valuable 🌐 All #PPC news in one place on ppcnewsfeed[dot]com
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If you're advertising discounted products, you should show more information about the sale. Show how much I save. No matter if it's -40% off or $40 off. Show what the product costs now. And what it cost originally. Tell me when the sale ends - or how many days I have left. And tell me why you are having this sale. The more you tell me about a sale, the better a sale it seems to be. Otherwise you probably wouldn't tell me. And if you want to be clever about it, there are multiple theories to optimize for. Anchoring with a high original price. Increasing value perception with a high original price. The visual impact of seeing a lower price compared to a higher original price. And the urgency and scarcity around buying this discounted product before it's out of stock. If you're selling discounted products, it's worth trying out. - for the nerds: Data is based on 6.5B impressions and $30.8M ad spend from December 2023 to September 2024. Data is across 568 ecommerce advertisers all over the world, using 3k different designs in the time period. All the Catalog Ads in the data study were designed with Confect.
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Ditch vanity. Choose growth. That’s our new tagline (probably 😊). What do you think? Many ecommerce brands build goals around ROAS and get to work on investing and optimizing – it’s the industry standard. The pros know its limitations and move past it. Here are 3 ways ROAS is a vanity metric: 1. ROAS is almost never measured correctly if you use GA4 or ad platforms measurements. And it’s often way off on some channels, making the measure pretty vain. 2. Let’s say you have a ROAS of 4.0 on $100k of spend in Google Shopping, so $400k of sales. Are you getting $4 from every one of those $100k spent? No. Some are yielding $12, some $8, some $1. You are losing money on some of that investment. You are looking at the average. In that way, ROAS is a vanity metric. 3. Channels are interdependent. One can catch fire, or appear to, but actually be cannibalizing sales from another channel. How do you move beyond the vanity limitations of ROAS? It’s not difficult to see if spend is driving incremental value, you just have to compare TOTAL spend to TOTAL sales for various periods of time. Often people compare two periods using a table. That’s great, but it only provides insight for the specific date ranges that were chosen for analysis, which can lead to a falsely influenced conclusion. That’s why I love a simple chart like this one. Regardless of channel mix, ROAS measurements, here is what ACTUALLY HAPPENED when this brand increased spend and then later decreased it. Obviously things fluctuate but we can see the trend lines. · Sales were $70k/day when spend was $6k/day · Sales were $79k/day when spend ramped up to $12k/day · Sales were $68k/day when spend declined to $8k/day A spend reduction of $4k/day yielded $11k/day of actual sales decline. That is an incremental loss of $11/$4 = $2.75 ROAS. This is accountability. #ecommercemarketing #ecommerceincrementality #ecommerceadvertising #ecommerceattribution
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Achieving 𝐑𝐎𝐀𝐒 Above 𝟐𝐱 in the Very 𝐅𝐢𝐫𝐬𝐭 𝐌𝐨𝐧𝐭𝐡 is like setting up Foundation:- It is not always necessary to spend huge budget in the beginning months and let the ROAS dip and Suffer Loses, You can Start with a Low Budget Maintain Your ROAS, Improve it Over Period of time and then Increase the Budget, make iterations and scale. Here are the few things I love to do with my Campaigns:- 1. 𝙎𝙩𝙖𝙧𝙩 𝙇𝙤𝙬 𝙬𝙞𝙩𝙝 𝘽𝙪𝙙𝙜𝙚𝙩:- In the very first months I prefer to go slow and make some profits rather than going fast and suffer the loss as it affects the overall health of your Ads Account which will make you pay even more in the future by affecting the accounts Overall Quality Score and Increasing the Average Cost Per Click resulting in High CPA's and Lower ROAS in the long run. 2. 𝙊𝙗𝙨𝙚𝙧𝙫𝙞𝙣𝙜 𝙬𝙝𝙚𝙧𝙚 𝙩𝙝𝙚 𝘾𝙤𝙣𝙫𝙚𝙧𝙨𝙞𝙤𝙣𝙨 𝙡𝙞𝙚:- Observing the conversions over a period of time like from which cities, Hour of the Day, Which Device Type is generating the most conversions and also which conversions are costing less and which are costing more. 3. 𝘼𝙙𝙟𝙪𝙨𝙩𝙞𝙣𝙜 𝙏𝙝𝙚 𝘽𝙞𝙙𝙨:- Rather than completely stopping my ads in a particular area where the conversion costs are way high as compared to other location, I like to adjust Bids by negative 15-20% in the areas where Cost is Higher and by Positive 15-20% in the areas where the cost is low, so that in the area where CPA is lower, we agree to make it a little Higher so that are conversions also increase resulting in Scaling. 4. 𝙄𝙣𝙘𝙧𝙚𝙖𝙨𝙞𝙣𝙜 𝘽𝙪𝙙𝙜𝙚𝙩 𝙖𝙣𝙙 𝙎𝙘𝙖𝙡𝙞𝙣𝙜:- When the campaigns mature after a certain period of time with good ROAS like 5X and we are Breaking even at 3X then we increase the Budget and Set the Target ROAS to 3.6 or 4 which helps us Scale. #GoogleAds #Marketingtips #Ecommerce #FashionBrands #ApparelBrands #Roas2.5X #DigitalMarketing #PaidAds #StrategicPlanning
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Performance Marketing Specialist at ROImonks
1wIt's a total gold mine to be honest. The best thing is you can send any info in the feed and confect accepts it. You only need to send them as custom_labels if you want to create product sets from them