Derrick Le’s Post

Attribution 101: Last-click attribution over attributes performance of bottom of funnel channels, and under attributes top of funnel channels. Some brands use incrementality / holdout tests to solve this. Others use attribution tools, like Northbeam or Triple Whale. Both are great options. Another way to measure the true performance of your marketing channels is by using last-click attribution, but altering target CAC per channel based on linear regression analyses. Let me explain. If your business has a tCAC of $100, a lot of you may be holding each channel to that exact target as a measure of success. In that scenario, Facebook, Google, and Youtube all have a $100 tCAC individually based on last-click attribution. But that’s not a good approach. Consumers may have more than 1 channel touchpoint in their buying journey, so you have to understand what role each channel plays in that journey, and weigh contribution accordingly. All of that won’t show in last-click. To get to the bottom of it, I’d first bucket my channels into TOFU, MOFU, and BOFU categories With the channels outlined above, YouTube would be TOFU, Facebook + Google Non Brand Search would be MOFU, and Google Brand Search would be BOFU. We’d bucket “organic” or “direct” customer acquisition under BOFU. Where certain channels fit in your funnel will be dependent on your brand’s media mix— no 2 brands are exactly alike. For some, Facebook serves as TOFU. For others, Facebook is MOFU or BOFU. I’d then run linear regressions to understand the impact of my TOFU channels on my BOFU ones. You also might want to consider offsetting your regression window based on your brand’s consideration funnel (if you have a high AOV product, your customers will likely have a longer consideration window, so the impact of TOFU channels may take a while to show up in BOFU attribution). Once you understand how your channels impact each other, you want to adjust your tCAC per channel based on those findings. You’ll increase your tCAC threshold on TOFU channels & decrease them on BOFU channels. On a blended basis, you’ll still hit your $100 tCAC, but your channel-level targets will adjust based on where they are in the funnel. I like to run these types of regressions quarterly to stay on top of any changes in channel behavior. These regressions can be super simple to run for smaller brands with less channels in the mix (if you’re a data-savvy founder you can probably do it yourself), but get really complex as a business grows— at Winc, I had a data team helping me run these regressions. This can be a great use case to bring on a fractional data analyst to set up & run this type of an analysis every once in a while to complement your other attribution efforts. However you go about it, just make sure you’re not measuring the total impact of your marketing efforts purely on a last-click attribution basis.

Controversial take: PMax sucks and shouldn’t be used the way 90% of DTC brands are currently using it. To be fair, I don’t necessarily blame brands for the heavy use of PMax with all of the misinformation that these Google reps push on everyone nowadays. My team was just on a call with one of them a couple of weeks ago and you wouldn’t believe the looks we got when we told them that we were more focused on campaign types that give us greater control such as Search and Standard Shopping. But why do most Google reps push PMax so much? Well in short, most Google reps are not actual Google ads media buyers. They are sales professionals who “learned” Google ads from a training manual provided by Google. This obviously doesn’t apply to everyone, I have met one or two reps who are knowledgeable and helpful but most are not. Okay so why does PMax suck? Lack of Control: PMax gives you very limited control over your campaigns. Automated targeting, bidding, and asset placements often take decision-making power away from you, making it difficult to optimize specific areas of the campaign like audience targeting or keyword focus. Limited Reporting: Another big issue with PMax is the lack of detailed insights. Google makes it really hard to see where your ad spend is most effective or which assets are underperforming. Cannibalization of Branded Keywords: PMax often targets branded search terms, even if you have other campaigns already focusing on those terms. This can lead to cannibalization, where PMax takes credit for conversions that should have been attributed to your brand or search campaigns. No Control Over Negative Keywords: Unlike search campaigns where you can easily add negative keywords, PMax doesn’t allow for straightforward exclusion of irrelevant or low-performing terms. You need to go through a Google Ads rep to add negatives, which is tedious. Opaque AI Decisions: The AI-driven nature of PMax can sometimes make questionable choices, such as targeting irrelevant search terms and placements without a clear understanding of the business's actual needs. This leads to wasted ad spend on unrelated clicks. Lack of Testing Ability: The all-encompassing nature of PMax means it’s harder to test individual elements like creatives or audiences. In contrast, other campaign types, like standard Search or Shopping, allow for more granular A/B testing and experimentation. Steep Learning Curve for ROI: While Google reps constantly market PMax as a solution for higher conversion rates, the reality is that brands often experience wasted ad spend and poor ROI before the campaign's AI "learns" how to optimize properly. Not to mention, most of that “higher conversion rates” come from branded search terms from what we’ve seen which does not tend to actually drive incremental revenue. There is a process for transitioning away from being over-reliant on PMax campaigns and it takes a little bit of time but you’ll be better off in the long run.

Remarketing List for Search Ads = Take back your Wasted $$$ Try these below 6 data-backed approach that helped me to lower CAC by 17% 1️⃣ Behavior-Based Segmentation: Using segmentation in RLSA lets you adjust your bids based on specific user actions on your site. First-Time Users (New Sessions) Bid Increase: +10% Why: First-time visitors show initial interest but need a nudge - a small bid boost can bring them back for more. Consideration Stage (90+ Seconds on Site) Bid Increase: +15% Why: Users staying over 90 seconds show deeper interest - a higher bid keeps your brand visible as they near conversion. Ready to Convert (Clicked ‘Get Demo’) Bid Increase: +20% Why: Users clicking “Get Demo” are close to converting - boost your bid to keep your ad visible & encourage the final step 2️⃣ Dynamic Ads & Personalization Leverage dynamic ad copy that aligns with where users are in the journey. Customized messages based on user behavior are known to boost click-through rates (CTR) by up to 30% 3️⃣ Bid Adjustments = Revenue Optimization By tailoring bids per user segment, you can optimize ad spend. For instance: 10% Bid Increase: For early - stage users, bid ⬆️ yields ~7% higher CTR. 20% Bid Increase: For conversion - ready users, can boost conversion rates by up to 25%. 4️⃣ Cost Per Acquisition (CPA) Control RLSA campaigns help lower CPAs by focusing on users most likely to convert. According to Google, advertisers using RLSA see a 20-40% CPA reduction by targeting higher-intent segments. 5️⃣ Conversion Tracking & Insights Track how different segments perform, and adapt your strategy. Test bid increases and adjust to the specific behaviors that drive results. 6️⃣ Data-Driven Experimentation Not all RLSA audiences will have the same impact. Run A/B tests to find the optimal bid levels for each segment Small adjustments can mean the difference b/w wasted spend & scalable ROI. PS: Don’t keep this to yourself 📌 Tag a friend or colleague who could benefit from this Let’s help each other level up 🚀

CASE STUDY: 📊 How We Generated Over ₹15 lacs in Sales in Just 5 Days for a D2C Brand Scaling a D2C brand isn’t about quick hacks or guesswork—it's about leveraging data and optimizing every aspect of your ads. Recently, we achieved a staggering ₹1.5 crore in sales within a short span, and here’s exactly how we did it. When the client came to us, they were struggling to scale efficiently. We took a deep dive into their Facebook and Google Ads and crafted a performance strategy that transformed their sales figures in less than a week. Here’s the breakdown of our approach: 1. Laser-Focused Audience Segmentation     We split our target audiences on Facebook into hyper-specific segments. Instead of broad targeting, we focused on behavior-based segments—those who engaged with similar brands, past buyers, and cart abandoners. This ensured our ads were hitting people most likely to convert, not just random traffic. 2. Leveraging Google's PMax Campaigns for Top-of-Funnel Awareness     For Google Ads, we launched Performance Max campaigns to increase visibility among cold audiences. By using automated bidding and ad creatives, we maximized reach while maintaining efficient ad spend. This helped us achieve better click-through rates and brought new potential customers into the funnel. 3. Mid-Funnel Retargeting with Engaging UGC Content    We ran mid-funnel retargeting campaigns using user-generated content (UGC). Customers love authenticity, and we found that UGC videos had a 25% higher conversion rate compared to studio-shot content. By showcasing real customer experiences, we improved trust and engagement. 4. Daily Optimization of Winning Ad Sets     Every morning, our team reviewed ad performance, focusing on metrics like click-through rates, cost-per-click, and ROAS. We ruthlessly cut underperforming ad sets to reallocate budgets to the top performers. This approach brought down our cost-per-acquisition (CPA) by nearly 30%. 5. Real-Time Monitoring of Website Experience    Conversion doesn’t stop at the ad. We monitored Shopify analytics closely to optimize the checkout flow. We realized that tweaking the cart page messaging and adding a countdown timer for limited-time offers boosted conversions by 18%. The results?   A 514% increase in total sales and an 11% boost in online store sessions, all within a 5-day window. Key takeaway: Scaling is less about flashy strategies and more about refining the basics—data-driven targeting, continuous optimization, and a seamless customer journey. What’s the biggest challenge your brand faces in scaling? Let’s discuss. #D2C #PerformanceMarketing #GoogleAds #FacebookAds #EcommerceSuccess #ScalingStrategies

Unless you're a multi-billion dollar brand that doesn't care about attribution… $7M+ for a 30-second Super Bowl ad is a COMPLETE waste of money. People buy into the hype because: → It's one of few occasions where advertisements are a key attraction → 90M US viewers were expected to tune in and watch the Chiefs take on the 49ers yesterday → University of Minnesota research shows that brands see a 68% increase in online word-of-mouth in the 3 days after the game (although this number drops dramatically afterward) Now let's talk cons: → 50% higher CAC overall makes it hard for advertisers to prove they're reaching the right audiences *and* maintaining healthy ROI → It's not clear these ads move the needle on customer acquisition and retention → There isn't much evidence that sales increase after Super Bowl ads air 3 things to keep top of mind while weighing the pros and cons of making a big marketing investment: 1. Data is your friend Unless you're a Pepsi-sized behemoth with millions to spare, every ad dollar is precious. You can't afford to invest a big sum in any campaign without evidence it will: → Boost your customer acquisition efforts → Maximize customer lifetime value → Improve ROAS The solution: follow the numbers. AI solutions can uncover unprecedented insights from customer data that will guide you to better decisions when you're weighing the pros and cons of an investment. 2. Don't forget your target audience Big-ticket campaigns like the Super Bowl are designed to drive audiences to social media channels – but that doesn't mean they're the right targeted audiences. To scale efficiently, you need to: → Get in front of the right eyeballs faster → Close more sales than before. There's a reason 84% of businesses are adding AI to their essential toolkit – It's a must-have if you're going to: → Identify and engage with your intended audience → While cutting through a crowded social media landscape 3. Don't forget how you stack up against the competition Gathering information on your KPIs is essential – but marketers also need to understand how they're stacking up against the competition to make that information actionable. Benchmarking shows advertisers how they compare to: → Businesses with a similar offering → And businesses of a similar size You need those metrics to figure out how to create greater value over the long haul – And where you need to adjust your digital marketing strategy. That's why Proxima offers benchmarking that compares your KPIs with comparable businesses. Advertisers have to make tough decisions about where to invest their precious marketing dollars in 2024. Whether or not you can afford a Super Bowl ad… let the data do the talking. Advertisers who rely on: → Data intelligence → Audience targeting → Benchmarking To improve and optimize CAC and retention… Are the ones who won’t just be creating short-term buzz. They’ll be taking home the trophy.

𝗪𝗲𝗿𝗲 𝘆𝗼𝘂 𝗮𝗯𝗹𝗲 𝘁𝗼 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲𝗹𝘆 𝘁𝗿𝗮𝗰𝗸 𝘆𝗼𝘂𝗿 𝗗𝗧𝗖 𝗯𝗿𝗮𝗻𝗱𝘀' 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵𝗶𝗻 𝘁𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀' 𝘄𝗶𝗻𝗱𝗼𝘄 𝗮𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻?  The attribution window refers to the time range during which conversions are attributed to a specific ad click or ad view. If you run ads on popular advertising platforms like Facebook, TikTok and Google, you may already know their default attribution windows: 🔹Facebook Ads: 1-day view and 7-day click 🔹Google Ads: 30-day click 🔹 TikTok Ads: 1-day view and 7-day click However, with #NestAds pixel attribution window, which offers an attribution window of up to 60 days, you can see the difference in conversion paths between default attribution windows. Why does this happen? There could be several reasons for this, such as: 🔹 𝗟𝗼𝗻𝗴𝗲𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴 𝗣𝗿𝗼𝗰𝗲𝘀𝘀: Not all customers make immediate purchases after clicking on an ad. Some may take more time to research, compare, or consider their buying decision. By extending the attribution window, you can capture these delayed conversions, which shows a more comprehensive impact of your ads 🔹𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: With a longer window, more conversions can be traced back to earlier clicks. This means that orders placed up to 60 days after clicking an ad are attributed to that ad, capturing more of the customer journey & potentially increasing the attributed orders 🔹 𝗦𝗲𝗮𝘀𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗣𝗮𝘆𝗱𝗮𝘆𝘀: Consumer behavior can be influenced by factors such as seasonality and pay cycles. A 60-day window can capture these variations, attributing purchases made during paydays or specific seasons to prior ad clicks 🔹 𝗥𝗲-𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗥𝗲𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴: Longer windows can capture the effects of re-engagement or remarketing efforts. If a user clicks an ad, doesn't convert, but is later targeted by a remarketing campaign and converts, the original click can still get the attribution if it falls within the extended window 🔹 𝗠𝘂𝗹𝘁𝗶-𝘁𝗼𝘂𝗰𝗵 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: In a longer window, there's a greater chance that a user interacts with multiple marketing touchpoints before converting. This can provide a more holistic view of how various channels and campaigns contribute to conversions over time Using an extended attribution window offers valuable insights for store owners and advertisers by: 🔸 Capturing more conversions over time, providing a comprehensive view of campaign effectiveness 🔸 Enhancing ROI analysis, aiding in smarter budget allocation and marketing optimization 🔸 Improving remarketing strategies by offering insights into customer re-engagement points 🔸 Providing a better understanding of cross-device and multi-channel interactions 🔸 Supporting informed strategic decision-making based on a broader data perspective 🔸 Helping to understand customer lifetime value by linking initial interactions to subsequent purchases

𝗗𝗲𝗳𝗶𝗻𝗲 𝗬𝗼𝘂𝗿 𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀 Set Clear Goals: Whether it's increasing sales, generating leads, or driving traffic to your website, having clear objectives helps in creating targeted campaigns. Choose the Right Campaign Objective: Meta Ads Manager offers various objectives like Conversions, Traffic, and Catalog Sales. Select the one that aligns with your goals. 𝗞𝗻𝗼𝘄 𝗬𝗼𝘂𝗿 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲 Create Detailed Buyer Personas: Understand your ideal customer’s demographics, interests, and behaviors. Utilize Facebook's Audience Tools: Use Custom Audiences from your email list or website visitors and Lookalike Audiences to reach similar people. 𝗖𝗿𝗮𝗳𝘁 𝗖𝗼𝗺𝗽𝗲𝗹𝗹𝗶𝗻𝗴 𝗔𝗱 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲𝘀 Engaging Visuals: High-quality images/videos. Persuasive Copy: Clear, compelling with a strong CTA. A/B Testing: Test different creatives and CTAs. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗬𝗼𝘂𝗿 𝗟𝗮𝗻𝗱𝗶𝗻𝗴 𝗣𝗮𝗴𝗲𝘀 Speed and Mobile Optimization: Make sure your landing page loads quickly and is mobile-friendly. Clear CTA: Have a clear and compelling call-to-action on your landing page, such as "Buy Now" or "Sign Up." 𝗦𝗲𝘁 𝗨𝗽 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 Install Meta Pixel: The Meta Pixel on your website will help you track conversions, optimize ads, and retarget visitors. Use UTM Parameters: Add UTM parameters to your URLs to track the performance of your ads in Google Analytics. 𝗕𝘂𝗱𝗴𝗲𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗕𝗶𝗱𝗱𝗶𝗻𝗴 Allocate Your Budget: Start with a test budget to see what works and then scale up. Decide between daily or lifetime budgets. Choose Bidding Strategy: Options include lowest cost, bid cap, and cost cap. Choose based on your campaign objective and budget. 𝗟𝗮𝘂𝗻𝗰𝗵 𝗮𝗻𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 Regular Monitoring: Keep an eye on your campaign’s performance through Ads Manager. Adjust Based on Performance: Be ready to tweak targeting, creatives, and bids based on real-time performance data. 𝗥𝗲𝘁𝗮𝗿𝗴𝗲𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗟𝗼𝗼𝗸𝗮𝗹𝗶𝗸𝗲 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲𝘀 Retargeting: Show ads to people who have previously interacted with your website or social media profiles. Lookalike Audiences: Create audiences similar to your best customers to expand your reach. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗳𝗼𝗿 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀 Analyze Data: Regularly check the performance metrics and make data-driven decisions. Split Testing: Continuously run A/B tests on different elements of your ads to find the most effective combinations. 𝗨𝘁𝗶𝗹𝗶𝘇𝗲 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗔𝗱𝘀 Product Catalog Ads: If you have a large inventory, use dynamic ads to show personalized products to users based on their behavior and interests. By following these steps, you can effectively leverage Meta ads to boost your sales and grow your business. Have you tried any of these strategies? Share your experiences or ask any questions below! 👇 #MetaAds #FacebookAds #DigitalMarketing #Ecommerce #OnlineBusiness #AmazonFBA

𝐀𝐫𝐞 𝐲𝐨𝐮 𝐮𝐬𝐢𝐧𝐠 𝐌𝐞𝐭𝐚 𝐀𝐝𝐬 𝐭𝐨 𝐭𝐡𝐞𝐢𝐫 𝐟𝐮𝐥𝐥 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐭𝐨 𝐛𝐨𝐨𝐬𝐭 𝐲𝐨𝐮𝐫 𝐬𝐚𝐥𝐞𝐬 𝐚𝐧𝐝 𝐑𝐎𝐈? 𝑯𝒆𝒓𝒆 𝒂𝒓𝒆 𝒕𝒉𝒆 𝒕𝒐𝒑 5 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒊𝒆𝒔 𝒕𝒐 𝑰𝒎𝒑𝒓𝒐𝒗𝒆 𝒚𝒐𝒖𝒓 𝒄𝒂𝒎𝒑𝒂𝒊𝒈𝒏𝒔 𝒂𝒏𝒅 𝒅𝒓𝒊𝒗𝒆 𝒓𝒆𝒔𝒖𝒍𝒕𝒔. 𝟏: 𝐔𝐬𝐞 𝐓𝐚𝐫𝐠𝐞𝐭𝐞𝐝 𝐀𝐮𝐝𝐢𝐞𝐧𝐜𝐞𝐬 𝐄𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞𝐥𝐲 🔹 Utilize Custom Audiences to reach past customers and warm leads. 🔹 TAKE advantage of Lookalike Audiences to find new customers similar to your best ones. 🔹 Use Detailed Targeting to narrow down by demographics, interests, and behaviors. 🔹 Implement Retargeting to re-engage visitors who didn't convert. 🔹 Regularly update and refine your audience segments for maximum relevance. 𝟮: 𝐃𝐞𝐬𝐢𝐠𝐧 𝐄𝐧𝐠𝐚𝐠𝐢𝐧𝐠 𝐀𝐝 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐞𝐬 🔹 Use eye-catching visuals that align with your brand identity. 🔹 Write clear, persuasive copy that speaks directly to your audience’s needs. 🔹 Test different formats (carousel, video, single image) to see what performs best. 🔹 Highlight unique selling points and customer benefits. 🔹 Include strong, clear calls to action that encourage immediate engagement. 𝟑: 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐁𝐮𝐝𝐠𝐞𝐭 𝐚𝐧𝐝 𝐁𝐢𝐝𝐝𝐢𝐧𝐠 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 🔹 Set a realistic daily or lifetime budget based on campaign goals. 🔹 Experiment with different bidding strategies (CPC, CPM, ROAS) to find what works best. 🔹 Monitor and adjust bids regularly to maximize cost efficiency. 🔹 Allocate more budget to top-performing ads and audiences. 🔹 Use campaign budget optimization (CBO) for automated budget distribution. 𝟒: 𝐔𝐭𝐢𝐥𝐢𝐳𝐞 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 🔹 Track key metrics like click-through rate (CTR), conversion rate, and cost per acquisition (CPA). 🔹 Use Facebook Analytics and Ads Manager for detailed performance insights. 🔹 Set up conversion tracking to measure the real impact of your ads. 🔹 Regularly review and analyze data to inform future strategies. 🔹 Conduct A/B testing to continually optimize ad elements and strategies. 𝟓: 𝐔𝐬𝐞 𝐭𝐡𝐞 𝐋𝐚𝐭𝐞𝐬𝐭 𝐀𝐝 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐚𝐧𝐝 𝐅𝐨𝐫𝐦𝐚𝐭𝐬 🔹 Explore Dynamic Ads to automatically show the right products to the right people. 🔹 Use Stories Ads to capture attention in a full-screen, immersive format. 🔹 Implement Instant Experience ads for a fast-loading, mobile-optimized experience. 🔹 Try Collection Ads to showcase a range of products in a single ad unit. 🔹 Stay updated with new features and best practices from Meta’s resources. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐲𝐨𝐮𝐫 𝐌𝐞𝐭𝐚 𝐀𝐝𝐬 𝐠𝐚𝐦𝐞 𝐚𝐧𝐝 𝐬𝐞𝐞 𝐫𝐞𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬? 👉 𝑺𝒉𝒂𝒓𝒆 𝒚𝒐𝒖𝒓 𝒆𝒙𝒑𝒆𝒓𝒊𝒆𝒏𝒄𝒆𝒔 𝒐𝒓 𝒅𝒓𝒐𝒑 𝒚𝒐𝒖𝒓 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔 𝒃𝒆𝒍𝒐𝒘. 𝑳𝒆𝒕’𝒔 𝒄𝒓𝒆𝒂𝒕𝒆 𝒔𝒖𝒄𝒄𝒆𝒔𝒔 𝒕𝒐𝒈𝒆𝒕𝒉𝒆𝒓! #meta #metaads #digitalmarketing #ROI #strategy #marketing

Case Study: Boosting E-commerce ROAS with Google Ads Conversion Tracking -------- Client Overview ----------- An e-commerce Shopify store needed precise Google Ads conversion tracking to optimize ad spend, accurately measure revenue, and target high-intent customers for better sales. ---------- Objectives: Accurate Conversion Tracking: Capture key actions like purchases and add-to-cart events. -------------- Maximize ROAS: Allocate ad budgets based on precise revenue tracking. Effective Remarketing: Build dynamic audiences for high-impact retargeting. ---------------- Solution: GA4 & GTM Integration: Configured custom events to track customer actions and enabled cross-domain tracking for accurate attribution. Dynamic Value Tracking: Linked purchase values in Google Ads to measure revenue per campaign. --------------- Audience Creation: Built remarketing lists targeting high-intent users based on behaviors like cart abandonment. ---------- Results: 95% Tracking Accuracy: Enabled effective budget reallocation. 30% ROAS Improvement: Increased returns by optimizing high-performing ads. 20% Conversion Rate Boost: Dynamic remarketing captured more sales from existing visitors. --------------- Conclusion: With precise Google Ads and GA4 setup, the client achieved accurate conversion tracking, improved targeting, and maximized ad ROI for sustained e-commerce growth. ------------------ Book for a free consultancy: https://lnkd.in/gJG_n5SZ --------------- Hire me: https://lnkd.in/grpSzqKK ------------ #GoogleAds #ConversionTracking #GA4 #EcommerceTracking #Remarketing #DigitalMarketing #ROI

Is your brand getting lost in the crowded digital landscape? 🤔 What if I told you that there is a way to boost your awareness, growing your business. Here's how you can build your brand with Google display ads: 🔹 Identify Your Audience: Start by defining your target audience based on demographics, interests, and behaviors. Develop detailed buyer personas to tailor your ad messaging and visuals effectively. 🔹 Set Clear Objectives: Determine your goals, whether it's increasing brand awareness, driving engagement, or encouraging consideration. Clear objectives will guide your ad strategy and help measure success. 🔹 Create Compelling Visuals: Design high-quality images and videos that align with your brand’s identity. Consistency in logos, colors, and fonts is key. Communicate your value proposition and key messages clearly and concisely. 🔹 Utilize Google's Targeting Options: ->Contextual Targeting: Display your ads on websites related to your industry or topics of interest to your audience. ->Demographic Targeting: Reach specific age groups, genders, parental statuses, or household incomes. ->Affinity and In-Market Audiences: Target users based on their interests or those actively researching products like yours. ->Custom Audiences: Create custom affinity or intent audiences based on your data and insights. 🔹 Leverage Remarketing: ->Dynamic Remarketing: Show personalized ads to users who have previously visited your website or used your app. ->Standard Remarketing: Reconnect with users through generic ads after they've interacted with your brand. 🔹 Optimize Your Campaigns: Continuously A/B test different ad creatives, headlines, and CTAs. Monitor key performance metrics like impressions, click-through rates (CTR), and conversions. Adjust targeting and bids based on performance data. 🔹 Use Advanced Features: ->Responsive Display Ads: Automatically adjust your ads’ size, appearance, and format to fit different ad spaces. ->Smart Display Campaigns: Leverage Google’s machine learning to automate targeting, bidding, and ad creation. ->Dynamic Creative Optimization (DCO): Automatically generate personalized ad creatives based on user data and behavior. 🔹 Measure and Analyze Results: ->Brand Lift Studies: Measure the impact of your ads on brand awareness and consideration with Google’s brand lift studies. ->Google Analytics Integration: Link your Google Ads account to Google Analytics for deeper insights into user behavior and campaign performance. Use this data to refine your ad creatives, targeting, and overall strategy. Ready to elevate your brand’s digital presence and achieve remarkable growth? 📈 👉 Don't forget to follow so you can learn how to craft and execute a winning display ad strategy. Don’t miss out on the opportunity to make your brand unforgettable! #DigitalMarketing #BrandBuilding #DisplayAds #GoogleAds #MarketingStrategy #BusinessGrowth #Advertising