Path-to-Purchase Optimization

I’ve helped 5 eCom brands exit for ~$500m. The acquirer always wanted lower CPAs: So we pull 8 levers: 1. Creative → Target ~1 new concept per $10k in monthly spend. → At $500k/mo, that's 50 concepts. → 70% video (top of funnel, builds awareness) → 30% static (bottom of funnel, closes sales) That's 35 video concepts, 15 static concepts. Then 2-3 hook variations per video, and 5-8 variations per static. That's roughly 70 videos and 90 statics. Cut 70%+ of creatives before they hit two weeks. Your top 1-2% of ads should drive ~50% of spend. In most accounts, 70-80% of creative continues performing month-over-month. That means: → To maintain: replace 20-30% monthly → To grow 20%: replace churn + add 20% more volume 2. Media buying There are three actions that cut CPA without new ads: → Pause or spend-cap everything above target CPA → Retest old winners with new copy, headlines, landing pages → Scale the top 1-2% to take ~50% of total spend 8-figure brands can cut CPAs by 50% with media buying alone. Keep testing budget under 20% of total ad spend. Limit budget changes to 10-15% max, but make changes twice as often. 3. Website optimization The benchmarks: → CVR: 3%+ (top 10% hit 4.7%+) → Add-to-cart: 7-10% → Checkout completion: 60%+ Sometimes a landing page with 10% higher CPA leads to faster repurchases and higher LTV. 4. Subscription optimization The targets: → Monthly subscription churn: under 7% → 12-month retention: 40%+ → Repeat purchase rate: 30%+ The lever is segmentation: → Subscription vs one-time buyers → 4 week vs 8 week vs 12 week frequencies → Product categories → Acquisition channels The gap between 2x and 4x purchase frequency is a 2x LTV multiplier. 5. CRO Target email opt-in: 2-5%. Run distinct landing pages for each avatar. Example avatars for a supplement brand: → General nutrition → Gut health → Weight loss 6. Tracking optimization Click-based attribution overvalues lower-funnel performance by up to 250%. Top-of-funnel creative can drive 13X more incremental acquisitions than bottom-of-funnel. Click attribution will tell you the opposite. Post-purchase surveys catch what click attribution misses. Track individual nCAC on every ad you run. 7. Ad copy and headlines Ad copy can boost performance by 30%. Give creators selling points, not exact scripts. Target: → 40%+ hook rate → 2%+ CTR → 2-3 hook variations per video concept minimum 8. Data reporting and analysis Know two numbers: Maximum spend (company stays profitable): → Gross margin - OpEx = maximum marketing spend % → Example: 50% margin - 10% OpEx = 40% max Target spend (customer stays profitable): → Project 3-month customer profitability = your target CPA → Example: $55 AOV, $30 first purchase profit, $39 at month 3 = $39 target CPA End of the day, acquirers want: → Profitable customer acquisition → Reliable new customer growth for 3+ years → LTV and margins optimized

We changed one button on a client’s website and watched acquisition costs drop by a third overnight. Same ads, same audience… just tracking what Meta ACTUALLY values instead of what everyone thinks it values. Here’s the exact framework: 1. Fix Your Funnel Mechanics Standard e-commerce flows create massive inefficiencies when they don't align with platform event schemas. Multi-page checkouts, delayed confirmation signals, and fragmented purchase paths all force algorithms to work harder to find your customers. 2. Implement Strategic Conversion Paths Single-page checkout flows increase "InitiateCheckout" events by 20%, giving Meta earlier signals that immediately improve auction performance. Email-capture modals treated as "Lead" events let you optimize for actions Meta can deliver at a fraction of "Purchase" event costs. Progressive form fields create additional data points that feed algorithms the optimization signals they crave. 3. Optimize for Predictive Events While everyone obsesses over "add-to-cart," events like "complete registration" often predict lifetime value more accurately and convert at substantially lower costs. The accounts we've restructured around these insights consistently see 30%+ CPA improvements within weeks. 4. Sequence Your Channels Strategically Start with Pinterest/YouTube for cold reach. Transition to Meta Lead/Form campaigns, optimizing toward micro-conversions. Finally, move to Meta Conversion campaigns using fresh "AddToCart" seed audiences. This sequence leverages each platform's attribution window to maximize incremental lift while preventing platform competition for conversion credit. The brands beating CAC benchmarks in competitive markets have simply restructured their funnel mechanics to align with how algorithms really value conversions. This approach requires zero additional spend; just a strategic reconfiguration of your customer journey.

If I could only optimize 4 things to increase sales, here's exactly where I'd start. Most brands optimize their homepage first. That's completely backwards. Instead, start "close to the money" and work backwards from purchase. Here's the priority order that actually moves revenue, quickly: 1. Post-purchase upsells (biggest bang for buck) Do you offer post-purchase upsells or cross-sells? If not, you're leaving like ~10% revenue on the table. Why this works: → Customer already has payment info entered → They're in "buying mode" after successful purchase → Impulse resistance is lowest right after buying → Implementation takes literally minutes What to offer: → Complementary products at a discount → More of what they just bought → "Complete the experience" add-ons → Extended warranties or care products Near-instant AOV increase with minimal effort. 2. Checkout optimization (where 70% drop off) If you are on Plus, are you using Shopify's checkout extensions? Must-have checkout blocks: → Cross-sells and upsells during checkout flow → Social proof (ratings/reviews/testimonials) → Trust signals (security badges, guarantee reminders) → Shipping incentives clearly displayed You've done the hard work getting them here. Don't let a poor checkout experience kill the sale. 3. Smart cart experience Ditch the dedicated /cart page. Use a slide-out/JSON cart instead. Why slide-out carts convert better: → No page load interruption → Maintain shopping momentum → Perfect space for additional offers → Keeps them on product pages longer Smart cart essentials: → Incentive progress bar ("Spend $25 more for free shipping") → In-cart upsells and cross-sells → Trust signals and guarantees repeated → Easy quantity adjustments We’ve seen these carts lead to a 20-40% improvement in cart-to-checkout conversion. 4. Cart abandonment recovery Even with perfect optimization, 30% will still abandon. Capture them. Recovery tactics: → Exit-intent popups → Abandoned cart email/SMS/direct mail sequences Most brands think: "Let's get more traffic to the homepage first." Smart operators think: "Let's maximize revenue from people already buying." Why this approach works: → Quickest implementation and results → Highest ROI optimizations first → Builds momentum and confidence → Generates revenue to fund further optimization The crazy part? We haven't even touched: → Product pages → Homepage → Collection pages → Navigation

Over 80% of users skim, so when a PDP tries to say everything at once, it ends up saying nothing. A cluttered PDP gets more friction than function. Overwhelming users, leading to: - less time spent on page - missing value cues - fewer checkouts A well structured PDP doesn’t overwhelm, rather presents the information in a clear and digestible manner. Encouraging them to take action. In this post, I’ve broken down 12 changes I made to make the PDP easier to read and more focused on what actually helps users purchase. 1. Highlight customer satisfaction upfront. Show how many customers have purchased in the announcement bar. This builds immediate social proof that stays on all your pages. 2. Add benefit-focused badges above the product name. These help shoppers understand what key problems the product solves without needing to read through paragraphs. 3. Keep the title clear, and use a short subtitle to summarise the product and its core benefit. This helps users get both the “what” and the “why” at a glance. 4. Show the number of reviews beside the rating. It adds transparency and makes the rating feel more trustworthy, especially for first-time visitors. 5. Clarify price and pack size early. It saves users from searching for basic details which keeps attention focused on the purchase. 6. Use a context-rich main image. Featuring the product in its real-world use makes it easier to understand what’s being sold and how it fits into everyday life. 7. Expand image thumbnails beyond angles. Include images that show packaging and portion size to help customers evaluate fit and quality. 8. Add 2–3 bullet points above the fold. These help break down the product’s key benefits clearly, making it easier for skimmers to understand what makes it different. 9. Reinforce trust near the Add to Cart section. This is where buying hesitation happens so highlight things like delivery speed, return policies, or support to reduce friction. 10. Use icon-based highlights instead of long descriptions. Visual markers help users absorb information faster and keep the layout clean and scannable. 11. Break down product details visually. Showing ingredient percentages or content breakdowns in a simplified format helps make complex info more digestible. 12. Use accordions (not horizontal tabs). This allows users to expand only what they need, keeping the page organized and improving mobile usability. 13. Bring related variants closer to the decision zone. Show similar options earlier to help customers switch easily without needing to scroll to the bottom. Other UI/UX changes I did – Reduced text density to improve readability – Used consistent icons to simplify scanning – Added color cues for visual balance Found this useful? Let me know in the comments. PS: This checklist helps PDPs be clear and easy to follow without cramming in too much at once. This in turn will help the users make informed decisions that drive action. 

Six months ago, we took over a new client. They just spent $110k on a shiny new website. Within three months, their conversion rate dropped from 2.5% to 1.5% 🤯 Traffic was up, design looked incredible, but performance tanked. They were panicking. Millions in lost sales. Most brands spend thousands building a beautiful site… then never optimise it. They’ll update their social ads weekly. They’ll refresh creative, copy, and offers every other day. But the website - the place where every conversion actually happens - stays untouched for months. We’ve seen this across multiple clients. In one recent test, we ran session recordings and heatmaps and spotted something small but costly - users were dropping off right before checkout because they couldn’t find basic trust cues. Things like returns, shipping, and delivery info. We tested one simple change: ensuring the brand’s 30-day free returns message appeared consistently across every key stage: product page, cart, and checkout. The result? A 19% lift in conversion rate, unlocking $1.2M in annualised revenue. If you want to see what a frictionless experience looks like, go through lululemon's site. It’s clean and effortless. Every click feels natural and makes you want to buy. That’s what conversion rate optimisation (CRO) is really about - understanding how people actually buy and making it easier for them to say yes.

you're a pm at nykaa. repeat purchase rate dropped from 42% to 28% in the last quarter. what do you do? step 1: understand what "repeat purchase dropped" means → are customers buying once and never coming back? → or are loyal customers buying less frequently? → or are you acquiring a flood of low-intent new users who were never going to repeat? → repeat rate = users with 2+ orders / total users. a spike in one-time buyers tanks this number even if loyal customers didn't change. step 2: segment the drop → by cohort: did jan signups repeat less than oct signups? or is every cohort declining? → by category: is it makeup? skincare? haircare? if skincare held but makeup dropped, it's category-specific, not platform-wide. → by acquisition source: did users from instagram ads repeat less than organic users? → by first purchase: users whose first order was a Rs 200 lipstick vs. Rs 2000 skincare set have very different repeat behavior. step 3: check what changed recently → did you run a massive sale last quarter? heavy discounting attracts deal hunters who buy once at 60% off and never return at full price. your "growth" killed your repeat. → did you change the post-purchase email flow? → did subscription/auto-replenish options break or get removed? → did loyalty points expire or devalue? if 1000 points used to = Rs 100 off and now it's Rs 50 - repeat motivation drops. step 4: dig into the post-purchase journey → what happens after someone's first order? → check: do they get a personalized recommendation within 7 days? or silence until the next sale blast? → check: what % of first-time buyers opened the app again within 30 days? → check: of those who came back, what % added to cart but didn't purchase? price sensitivity or just browsing? → the gap between "came back to browse" and "came back to buy" is where the answer is. step 5: form a hypothesis example: if repeat purchase dropped specifically among users acquired during the big billion sale whose first order was under Rs 300 using a 70% off coupon → hypothesis: discount-led acquisition brought users who anchored to sale pricing. at full price, nykaa feels expensive compared to meesho or amazon beauty. → test: for first-time sale buyers, send a personalized "second purchase" offer within 14 days - not a flat discount but a bundle: "complete your skincare routine: cleanser + moisturizer at 20% off together." → measure: 60-day repeat rate for this cohort vs. control over 8 weeks. the answer is not to run another sale. the answer is understanding who you attracted and why they didn't stay. what would you fix first? #productmanagement #productsense #nykaa #d2c #retention #pminterview

Your customers fall into two psychological categories... and your website is probably only designed for one of them. Meet Alex, a CTO researching project management software. He opens dozens of tabs. Compares every feature. Reads technical specifications for hours. Alex is a maximizer. He needs to find the absolute best option. Then there's Emma, a small business owner looking for accounting software. She evaluates a few top-rated options. Finds one that meets her core needs. Buys it. Emma is a satisficer. Good enough really is good enough. Most websites are designed for only one type. Digital experiences built for maximizers overwhelm satisficers with too many choices and complex comparison tools. Digital experiences designed for satisficers frustrate maximizers who need detailed information and comprehensive options. The result? You're losing roughly half your potential customers. Maximizers abandon sites that don't provide enough detail for informed decisions. Satisficers leave sites that make simple purchases feel complicated. The companies that win understand both psychology types. They provide clear primary recommendations for satisficers, then make available (but don't put front-and-center) detailed comparison tools for maximizers. They offer quick purchase paths and comprehensive research options on the same page. Your conversion problems might not be about your product or pricing... they might be about serving only half your customer psychology. Design for both types and watch both conversion rates climb.

💪 I just spent 10 hours writing a new article for the Simmer blog, and it was worth every minute. Path analysis in #GA4 is powerful in theory… but almost unusable in practice. So I rebuilt the user journeys of Google’s Merchandise Store using #R and #BigQuery. In the article, I walk through the full process step by step, and introduce a new approach that combines path analysis + funnel analysis to surface insights GA4 can’t show you. Most importantly, I focus on the business impact, not just pretty charts. Here are the questions we answer: 1. Where do users drop off most frequently? 2. What are the most common entry points? 3. Which landing pages behave like “dead ends”? 4. How far do users typically progress through the purchase funnel? 5. How do promotion views affect conversions? 6. What happens after users sign in? If you work in digital analytics, UX, ecommerce, or CRO, this is for you, and the full R code is included. Link to the article in the comments. #Rstats #DigitalAnalytics #DataScience #Ecommerce #UX #MarketingAnalytics

I probably shouldn’t admit this on here, but my own bias has been limiting my market access. I thought my path was one of openness and curiosity, but last week, Linkedin called me out. I realised I’d been skipping profiles with taglines like: Helping coaches coach better or Helping founders found better, because my brain's immediate association was Santa's little helper. So I'd scroll past, limiting reach, relevance and revenue. The bias felt small, until I saw the same response in my clients' buyers. Different roles, but the same wiring. I found when decisions felt risky; smart people defaulted to what felt familiar. It's called processing fluency. The easier something is to read or recall, the truer and safer it feels in B2B sales.¹ It's why buyers go back to the same big names, same legacy panels and whoever's already in their inbox the moment panic peaks. It’s safety impersonating certainty. So before you next post, walk your buyer's path, scroll their feeds, check for buying signals. Things like new roles, funding rounds, compliance shifts, partnership news, any frustration between the lines. Then clear the path for them, translating what they're really saying into next steps. Drop the Legalese, explain risk in plain English and show them a route they can follow with ease, removing any friction from the path! This is buyer enablement in public view. Bain found decision simplicity (how easy it is to gather and trust information) drives B2B purchase likelihood, seeing firms highest on simplicity outperform peers by 86% in customer loyalty.² Who knew? It’s not the retainer, it’s the readability. Harvard Business Review found emotion, not information, drives most B2B decisions. So when buyers feel assured, seen and heard, they buy up to 25% faster.³ Forget rational buyers, it’s empathy that gets you chosen now. Here’s what empathy looks like for you: → Simplify language → reduce anxiety → trigger assurance → shorten the sales cycle When buyers hit their panic window (that short gap between spotting a risk and deciding who to call) they’re reading for relief and reassurance. Translating law to plain English isn’t dumbing down, it’s clearing the path so the right people can reach you. Because your job on Linkedin isn’t to educate your competitors, it’s to make a new decision feel safe for your buyers. The lawyers who lead on here aren't the most active, they're the ones who clear the safest path. DM me "PATH" if you can't see the wood for the trees on LinkedIn, I'll send you the 5 minute audit that gets you decidable by New Year. Sources: 1. Alter A and Oppenheimer DM, ‘Uniting the Tribes of Fluency to Form a Metacognitive Nation’ (2009) 13 Pers Soc Psychol Rev 219. 2. Bain & Company, The B2B Simplicity Premium (2022). 3. Magids S, Zorfas A and Leemon D, ‘The New Science of Customer Emotions’ (2019) Harv Bus Rev. 👇The path I walked this morning: no bias, no signal, just autumn leaves leading the way.

🔥 Buyer journey reality check: By the time a buyer reaches out or fills in your form, they’ve already done their homework. They’ve read your content, compared you to competitors, and scrolled through reviews and case studies. So, in many cases, they’ll know more about your brand and product than your Sales reps could tell them. 😜 That’s why the real job of marketing is NOT lead capture (although it's important you do that well), but these two things instead: ✅ Create brand memory and trust - so they think of you at the right time ✅ Accelerate their self-education - and make it easy to buy when they’re ready Here’s how: 1. Make information easy to find 👉🏽 no gates, no forms 2. Be transparent about your offerings 👉🏽 e.g. don't hide your pricing info 3. Lean on use cases and social proof 👉🏽 customer stories, testimonials, case studies, TCO tools 4. Meet buyers where they are 👉🏽 create on-platform experiences instead of driving traffic to your sites (this is zero-click marketing - even if you lose attribution data) 5. Smooth the path to purchase 👉🏽 when they’re ready, how easy is it for them to buy or get in touch with a human? In short, the brands that win aren’t the ones spending the most or shouting the loudest, but the ones that build memory and make buying easy...