Tracking Ecommerce Conversion Rates

A very easy way to improve your Amazon ads efficiency by at least 10% Let’s say you’re spending ₹4–5 lakhs/month on Amazon ads. Your ACoS looks okay. Conversion rate seems fine. But your gut tells you—you’re still wasting some money on irrelevant traffic You’re not wrong At Atomberg, we had found that some of our Amazon spend was going toward search terms that had no business seeing our ads: - “cheap fan” -“rechargeable fan” - “usb fan under 1000” None of these users were in-market for a ₹3,000+ BLDC ceiling fan. But we were still showing up. And paying for those clicks. And it’s not just us. I’ve seen 6–7 brands' Amazon ad accounts across categories over the last few years—same problem, every single time The fix? N-gram analysis Takes less than an hour. You don’t need to be a performance marketing expert. But the results compound What’s N-gram analysis? It’s breaking down every search term into its word components—1-grams, 2-grams, 3-grams—and then identifying patterns that consistently drive waste… or conversion. Example: “cheap rechargeable fan for hostel room” turns into: 1-grams: cheap, rechargeable, fan, hostel, room 2-grams: rechargeable fan, hostel room 3-grams: fan for hostel, etc. When you do this across all your search terms, you start seeing the real picture. Why this matters more than just checking your search term report: Search terms ≠ keywords a) One keyword can trigger 100s of different queries. Some convert. Most don’t. You need to find the patterns. b) Waste is diluted across low-volume terms. Maybe “rechargeable fan for hostel” spent ₹300. You ignore it. But what if 12 other queries with “rechargeable” spent ₹6,000 in total with zero conversions? c) Long-tail is infinite. N-grams are finite. You can’t negate every bad search. But you can block the core terms—“cheap”, “usb”, “mini”—once and be done with it. d) It helps you scale campaigns too. You can find goldmine phrases like “white ceiling fan”, “silent BLDC fan”, “fan for living room”—with 5x+ ROAS. Those became exact match campaigns What you should do: a) Pull last 3 months of search term data b) Break them into unigrams, bigrams, trigrams c) Create a pivot with spend, orders, ROAS by N-gram d) Negate high-spend, low-conversion N-grams (e.g., “cheap”, “rechargeable”) e) Boost high-ROAS ones (e.g., “bldc”, “ceiling fan white”) f) Add exact match campaigns g) Rinse and repeat monthly Try it. Guaranteed to improve efficiency at whatever scale you are operating If you want to read an expanded version of the post, link is in the first comment

Your prospect has 147 unread emails. Yours just got added to the pile. What makes them open YOURS instead of the other 146? After sending thousands of cold emails and generating over $700M in sales throughout my career, I've identified the #1 mistake destroying most cold outreach: ZERO RIGHT PERSONALIZATION. Most reps "spray and pray". Sending the same generic template to 1,000 prospects hoping something sticks. Then they wonder why their response rate is 0.5%. Here's the cold email framework that consistently gets 20%+ response rates:  → Make your subject line about THEM, not you. Use recent news, achievements, or common pain points to spark curiosity. Example: "Your Inc 5000 ranking" or "Austin expansion" 1. Keep your email so simple it doesn't require scrolling. It MUST be mobile friendly, as 68% of executives check email primarily on their phones. 2. Use this 3 part structure:  → Personal opener: "Hey [Name], [specific personalization about them]"  → Show understanding: "In chatting with other [title] in [industry], they're typically running into [pain point]"  → Soft CTA: "Got a few ideas that might help. Open to chat?" 3. Research these personalization sources: • Company website (values, mission page) • Press releases • LinkedIn activity • Earnings transcripts (for public companies) • Review sites The hardest territory to manage isn't your CRM. It's the six inches between your prospect's ears. They don't care about your product. They care about THEMSELVES. Recently, one of my clients was struggling with a 1.2% response rate on cold emails. We implemented this framework, and within 2 weeks they hit 17.4% - with prospects actually THANKING them for the personalized outreach. Find your sweet spot on the personalization spectrum. You can't do hyper personalized video for everyone, but you can't blast the same generic template either. — Hey reps… want another cold email strategy? Go here: https://lnkd.in/gKSzmCda

Personalisation is talked a lot about in commerce, yet I am seeing very few SMB's walk the talk. Personalisation with purpose is key to investing time and resources which are finite in any SMB retailer and I suspect why it is rarely implemented. Segmeting your customers into four key groups is a crucial first step: Loyal customers - repeat, full price shoppers Discount customers - repeat, discount shoppers First time customers - single purchase shoppers At risk customers - haven't purchased in 6 months (adjust time frame to your average repurchase rate time period) Now build a strategy accordingly: Loyal customers - exclusive first to know when new product drops (don't scream sale to them) Discount customers - first to know when you go on sale First time customers - serve them the products second time customers purchase At risk customers - send them a really hot offer to see if you can entice them back, maybe even ask them why they haven't shopped again with you? How does a retailer "one up this", look at patterns in what your customer groups buy. A great example of this is a strategy we rolled out with a footwear brand which I shared with the Klaviyo team in Sydney this week... Before going on sale, segment your slow moving or end of season products into sizes. Build custom landing pages (this can be down using search filters as well) showing the styles and products in that customer groups size. You may just be blown away too that you end up selling through all your slow moving or end of season products at full price. A simple strategy targeting niche customer size groups with styles in their size will not just drive revenue and profit, but loyalty too. These customers likely struggle to find their size more often than not! How often have you gone to a store and found what you wanted was not available in your size... 🙄 What's your top tip for tackling personalisation?

I’ve spoken to 250+ e-commerce founders in the last 2 years. And know their problems like they were my own. Top 3 concerns most founders have: – ads don't convert high enough  – ROAS is negative or barely there – site's conversion rate is below 2% This is AFTER they've tried everything. Different creatives, copy, targeting.  Taking traffic to different PDPs. And this only gets worse: – ad spends keep going up – competition only increases – and the website still doesn't convert If nothing is done about it,  the ad spend eats into profits, and turns it into losses. That's a place you want to avoid at all costs. ____________ So here's the 3-step solution I recommend if you're in this situation: 1. Start with fixing what gets the highest traffic. Check Google Analytics to see which page is getting the highest landing traffic. Most likely it's your product page or collection page. If it's a product page, check add-to-cart rate. You should be concerned if it's below 10%. If it's a collection page, you should be concerned if the bounce is over 30%. 2. Next, check the heat maps for that page. Use Microsoft Clarity (it's free). Otherwise use Crazyegg, since that gives overlay heat maps too (like navigation CTRs). If it's a product page, check: – what % of people even see your add to cart CTA? – what % of people read the description?  – what % of people see the images? Based on this, find the weak point and improve that. If it's a collection page, check: – how many products do people see on avg? (use scroll maps for this)  – how many products are viewed by one user? (use GA for this)  – how many user filters to narrow their results? 3. Lastly, create the solution. The solution is the design + copy combination. Which is either a new section or an improved version of an existing section. I'd suggest you make this improved version and A/B test it using tools like Intelligems, Convert. ____________ You can take inspiration from competitors on the solution. But only after you've identified what's the problem on your site. More you get comfortable with analytics and insight tools like heat maps, the more you'll move in the right direction. And if you need help, feel free to connect with me on DM. Pro tip: Run a "survey" on your most landed page type. Ask people why they don't buy. And DO NOT include "price is a concern" as an option. Rather keep this open ended first and see what responses you get. Show this on exit intent. 

₹1 Crore spent on ads, yet 50% of seats remain empty. What's going wrong? Every year, colleges invest crores into digital advertising, hoping to fill their seats. Yet, many institutions find themselves struggling with enrollments even after spending massive budgets. The root problem isn’t a lack of leads—it’s a broken marketing funnel. Most colleges focus on generating inquiries but overlook what truly matters: ● How many of those leads actually convert into enrollments? ● Where are students dropping off in the application journey? ● Are leads being nurtured effectively, or are they slipping through the cracks? The Harsh Reality ● 70% of leads generated by colleges never make it past the inquiry stage. ● 80% of students prefer personalized communication, yet most colleges still rely on generic email blasts. ● Students today expect instant responses, but many institutions take days or even weeks to follow up. ● This disconnect between marketing and admissions results in low conversion rates and wasted ad spend. How This Can Be Fixed Instead of focusing solely on lead generation, shifting attention to conversion strategies can make all the difference. A few key steps include: ▶️ Identifying where leads drop off in the journey, from ad clicks to inquiry forms to actual enrollments. ▶️ Optimizing landing pages and CTAs to improve conversions, ensuring the application process is seamless and engaging. ▶️ Running targeted campaigns rather than broad, generic marketing efforts. ▶️ Personalization and precise audience segmentation can significantly boost effectiveness. ▶️ Leveraging WhatsApp and AI chatbots to provide instant engagement, as real-time responses can increase the likelihood of application by three times. ▶️ Implementing retargeting and nurturing strategies, ensuring students stay engaged throughout the decision-making process rather than losing interest. The ImpactWhen done right, this approach can lead to: ▶️A significant increase in high-quality leads—not just random inquiries. ▶️ A 30% reduction in acquisition costs through smarter targeting. ▶️ Higher enrollment rates without increasing the marketing budget. Colleges don’t have a lead generation problem—they have a lead conversion problem. Are you tracking where your leads drop off? Let’s discuss in the comments!

Premium (paid)-based loyalty programs are increasingly popular. Think Amazon PRIME, Walmart+, or RH Grey. With free points-based loyalty programs, consumers might sign up for a dozen programs or more, but for premium loyalty programs, customers are choosier, often paying for just one program in a category. Here are 5 benefits of a premium loyalty program: 1/ Increased Value Over Time → By getting members to commit early, they indicate preference early in the relationship. Since they have already invested, they are more likely to spend more over time 2/ Preference → Customers often start with premium loyalty programs when facing an ongoing problem, making you their first choice before exploring other options. 3/ Community → Direct communication builds a community. Members are more willing to engage, support each other, and bring in others. 4/ Average Order Size (AOS) → AOS is higher for premium members than nonmembers. In addition to more frequent purchases and the cost of the program itself, you also enjoy bigger spending at the point of checkout 5/ Returning Revenue is More Profitable → It's cheaper to keep a customer than to attract a new one. *********  👋 I'm Robbie, I'm a consultant, author, and speaker covering all things subscription businesses. 💡 Free resources, expert tips & advice at robbiekellmanbaxter.com 📩 Join my newsletter: https://lnkd.in/g8bCw7pJ 🎙 Tune in to the Subscription Stories Podcast: https://lnkd.in/gdfjFeS 📹 Catch my latest videos on Youtube: https://lnkd.in/gW8RcSea *********

I analyzed 100+ loyalty programs in the last 30 days. Most brands still run loyalty like it’s 2009: Earn points, get a discount, repeat. The top 10%? They’re using loyalty to change behavior- not just reward it. If I were Head of Loyalty at a $10B+ brand today, here’s exactly what I’d do to build a program that drives LTV, repeat purchases, and real retention: 1. Stop Giving Away Loyalty - Make Them Pay for It Costco, RH, Barnes & Noble. When customers pay upfront, they buy in - literally and psychologically. Forget free points. Paid memberships = commitment, retention, higher LTV and emotional sunk cost. 2. Make Loyalty Required, Not Optional - Integrate Directly into Payments Starbucks preloads!!! When rewards are embedded in how people pay, behavior shifts faster, and for longer. This is probably the biggest opportunity in loyalty right now. 3. Forget Delayed Points - Instant Gratification is More Important Immediate dopamine beats theoretical future savings. Slow accumulation = slow engagement. Instant offers = repeat behavior. The 2nd purchase matters more than the 10th. 4. Make Loyalty Emotional, Not Transactional REI, North Face, Sephora. Customers want to belong, not just save. Identity, community, and shared values are outperforming cashbacks and discounts in driving long-term loyalty. Loyalty isn’t just a discount strategy, it’s a brand strategy. 5. Invest in Status + Experiences, not Generic Perks This isn't just theory – with companies like Rapha and Lululemon offering loyalty members exclusive product drops, community events and behind-the-scenes experiences. Lean into waitlists and exclusive product drops. Less financial. More status + psychological “being in the club.” 6. Reward Engagement, Not Just Transactions MoxieLash, Pacifica, Lucy & Yak. UGC. Reviews. Referrals. Loyalty now means participation. The modern flywheel starts before checkout - and lasts far beyond it. ~~ Bottom line? If your loyalty program is still playing a game from 15 years ago, your customers are going to find better options. Today, the best brands in 2025 aren’t just rewarding loyalty- they're engineering it. PS: We analyzed 100+ programs across QSR, retail, travel, and fintech. Next week I’ll share the Top 30 loyalty programs leading the way. Stay tuned🙏

Last week a client asked me why their Amazon listing wasn’t selling. They had traffic. But their conversion rate was stuck at 5%. We didn’t touch the price. We didn’t touch the ads. We focused on the listing itself. The first image was cluttered. The title was stuffed with keywords. And the bullets? They were just features. Here’s what we did. We swapped the first image for a clean product shot on a white background with one bold benefit overlay. We rewrote the title to highlight the outcome, not just the specs. We flipped the bullets from “what it is” to “what it does for you.” Example: Instead of “Stainless steel, 500ml capacity” → “Holds a full day’s hydration without leaving a metallic taste.” Small changes. Big impact. The result? Conversion rate lifted from 5% to 11% within two weeks. That’s more than double the sales with the same traffic. The lesson? Most ecomm businesses don’t need more clicks. They need product pages that tell a story and solve a problem. What’s the one thing you’d change first on your own listing?

Way too many e-commerce brands run bare-minimum loyalty programs that don't move the needle. Points. Discounts. It gets old quick. Your top 10% of customers likely drive 40-65% of your profit. But are you treating them like the VIPs they are? Or just sending them the same generic emails as everyone else? Brands that are crushing it right now are building tiered VIP ecosystems that transform transactional shoppers into high-LTV brand advocates. Speaking from 4+ years of experience, I’ve learned a few things that actually work: --> Early access drops that make top customers feel like insiders --> Exclusive product variants unavailable to regular customers --> Private Slack/Discord communities connecting your best customers --> Physical gifts that arrive unexpectedly (not just on birthdays) --> VIP-only virtual events with your founder/designers Data doesn't lie. Well-designed VIP programs consistently deliver 3-5x ROI compared to acquisition campaigns. These programs also cost dramatically less than constantly chasing new customers. Stop treating loyalty like a cost center using discounts, and start treating it like the profit driver it should be, like leveraging experiences, exclusivity, or building relationships. Your competitors are leaving millions on the table with lackluster VIP strategies. The opportunity is massive for brands willing to invest in their best customers the right way. Who's doing VIP programming exceptionally well in your category? Curious to hear some examples.

Amazon dropped one of the biggest Sponsored Products updates we’ve seen in a long time (and personally was waiting for): ->audience targeting inside SP and the ability to create custom ones with AMC. Most advertisers are going to butcher this. They’ll pile audience bid boosts on top of existing ranking structures, placement modifiers, legacy bids — and then wonder why their campaigns nosedive. That’s how you torch your signals and bleed efficiency. Here’s the approach — the same structure we’re running across multiple brands: 1. Build your audiences inside AMC. This is the only place you’ll get truly clean data. Do not be lazy and use the ones you have available by default, they are mid to upper funnel audiences (which might work if that is what you wanna go after). But now you have access to AMC, so no excuse not to customize the audience based on your target. How to: Go to your ad console -> measurement and reports ->AMC → Use Cases → Audiences → pick the behaviour (ATC, PDP views, click-no-purchase, etc.) → create to Audience Hub. 2. Do not slap audience modifiers onto existing campaigns. If a campaign has a purpose — ranking, defence, etc — stacking audiences on top of it just corrupts the whole bidding logic. And if you’re already using placement modifiers, mixing them with audience modifiers is a guaranteed mess. 3. Create a separate SP campaign built only for the audience. Low base bid - start with half of the lowest suggested. Attach the AMC audience. Modifier applies only to that audience (at least 100% and increase this as needed). This isolates the traffic, preserves signal quality, and gives you a clean testing lane. The outcome across every brand using this structure has been identical: higher conversion rate, lower CPC, better margin. Same budget — just higher-quality traffic. The rule is straightforward: pick the audience that aligns with your objective. Don’t target everything. Fix the biggest gap in your funnel first. I’ve mapped out every audience, organized them by funnel stage, and included recommended starting points. Comment ME and share this post, and I’ll send you the file. #amazonad #amazonadvertising