Tracking Ecommerce Conversion Rates

Back in 2015, I made a mistake that many founders still make today: I thought payments were just a commodity. Connect a provider, then forget about it, right? Wrong. After building Rappi and now Yuno, I learned that the payments landscape has evolved dramatically. → Multiple payment processors needed per country → New payment methods launching every month → Complex approval rate optimization → Fraud management → Local regulations in each market As a result, we see: → Companies losing money due to suboptimal payment setups → Opportunities missed because of limited payment options → Resources wasted on complex integrations A recent example: One of our merchants accepted an alternative payment method with a 40% conversion. "That's normal," they said. Their provider told them so. We ran an A/B test with a different provider. The result: 70% conversion. That's the difference a payment orchestrator/partner can make - we: - Ask the right questions - Run the right tests - Optimize what others assume is "normal" Payment infrastructure can be either your biggest limitation or your strongest competitive advantage. The choice is yours.

It’s 2025. If your website or mobile app still doesn’t support digital wallets, you’re quietly killing your own conversion rates. Why? Because the way people pay has fundamentally shifted. Digital wallets are the norm. Apple Pay, Google Pay, PayPal, these aren’t “nice extras” anymore, they’re the default payment method for a huge percentage of consumers. People are used to tapping their phone or clicking once and being done. Checkout friction = lost sales. Every extra step at checkout bleeds conversion. Making someone reach for their card, type 16 digits, expiry, CVV, billing address… it’s just too much. The moment of purchase is fragile, and too many businesses still make it harder than it needs to be. Your competition is already doing it. If another brand offers one-tap checkout and you don’t, you’ve basically invited your customer to go shop with them instead. The irony is that enabling wallet payments isn’t some radical innovation anymore. It should just be BAU. It builds trust, reduces abandonment, and in many cases even increases average order value because the experience is so smooth. Yet I still see sites and apps that force customers through outdated checkout flows. In 2025, that’s madness. Because let’s be honest: consumers aren’t going backwards. No one’s going to say, “Actually, I’d love to type in all my payment details manually today.” 👉 If you haven’t enabled wallets yet, it should be at the very top of your roadmap. 👉 If you already have, great, but make sure it’s front and centre in your checkout, not buried behind a bunch of clicks. Digital wallets are no longer about innovation. They’re about conversion survival.

Indian influencer marketing is evolving into a full-blown performance engine. In 2024, the industry crossed ₹3,600 crore, and it’s expected to grow another 25% in 2025. But the real story is in the mindset shift. Indian brands are no longer using influencer campaigns for vague brand awareness or chasing viral reels. They’re using them for trackable ROI, conversion, customer acquisition, and brand trust. Most brands have moved on from one-off influencer shoutouts. Today, 72% of them prefer long-term collaborations. It’s about building ongoing relationships that feel authentic to the audience and credible to the customer. What’s even more interesting is the role of micro and nano-influencers. A nano-influencer might only have 5,000 followers, but with engagement rates between 4–6% on Instagram, they often outperform creators 20 times their size. For brands that want depth instead of just breadth, these small creators are ROI gold. And then there’s regional content. Whether it’s Chennai Mobiles running vernacular campaigns or Levista Coffee leveraging local language storytelling, India’s most successful influencer campaigns today aren’t PAN India, they’re hyperlocal. Creators speaking to their communities in their own dialects are driving both emotional resonance and sales lift. But all of this only works because brands are finally treating influencer marketing like performance marketing. They’re tracking CPE, CAC, ROAS, and even sentiment data. They’re using UTM links, affiliate codes, custom landing pages, and creator-specific funnels. They’re building dashboards, running A/B tests, and in some cases, even calculating Earned Media Value to understand the true reach and monetary worth of a campaign. Take Dorco, for example. The brand worked with 105 influencers to launch in India. They didn’t just get views, they got over 3,000 link clicks per influencer, 250K impressions per post, and a massive boost in brand awareness without spending on traditional ads. Flipkart did a winterwear campaign with 32 male creators and saw a 20% spike in category sales. SUGAR Cosmetics went from industry-average engagement to 4–5%, and in just two years, attributed 3X sales growth to creator-led campaigns. Mamaearth spent ₹182 crore on influencers in FY23 and it worked, because their focus wasn’t just on going viral, but on going credible. The biggest shift is that brands now factor in more than just short-term sales. They’re looking at repeat purchases, brand lift, earned media, and overall LTV. The smartest ones know that influencer marketing isn’t just a line item in the marketing budget, it’s a core part of their business engine. Influencers have become distribution. They are brand trust. And they are revenue drivers, if you’re tracking them right.

Affordability as an offer does not just complete transactions. They shape outcomes. Recently, I was reviewing performance for a D2C brand where, on the surface, nothing appeared broken. Looking at the same five-day window across July and December, results improved meaningfully, without any obvious external drivers.  Ad spend remained flat; the website's experience stayed the same, and there were no offers, festivals, or demand spikes influencing behavior. And yet, the funnel was moving. Add-to-cart rates rose, a greater share of those carts converted, and GMV ended up materially higher than earlier in the year. Before drawing any conclusions, I wanted to understand what we might be missing. Traffic quality, campaign mix, and site performance all told the same story. Nothing in acquisition or merchandising had changed. The only deliberate decision during that period was introducing no cost/low cost as an affordability offer, giving customers the ability of turning upfront payments into easy, flexible EMIs. That did not just increase demand, but also reduced hesitation. Customer intent translated into revenue more consistently, as cart value stopped acting as a friction. If you are seeing strong intent but uneven conversion, it may be worth rethinking the role payments play in your funnel. → https://lnkd.in/ee9Tgr_m #ConversionOptimization #D2C #ECommerce #PaymentInnovation

Plot twist: Your influencer campaigns could be performing 10x better than you think 📊 Most brands are massively underestimating their influencer ROI because they're only looking at discount codes. Real example from our agency:  → Client thought cost per customer: $1,000 (based on discount codes) → Actual cost per customer: $82 (based on pixel data) → That's 92% of customers going untracked! 🤯 The attribution reality: Even our most sophisticated clients with seamless tracking see a minimum 40% "halo effect" of unattributed sales. For luxury/considered purchases? We're talking 100%+ unattributed impact. Why this happens: → People screenshot products and buy later → They share with friends who purchase → They search your brand name directly → They purchase but don't use the code. What to track instead:  ✅ Pixel data and site behavior analysis ✅ Brand lift surveys ✅ Search traffic spikes ✅ Overall sales velocity during campaign periods ✅ Customer journey mapping The takeaway: If you're only measuring discount code redemptions, you're probably missing the majority of your influencer marketing impact. Time to dig deeper into your data. Your CFO will thank you. How are you measuring the true impact of your influencer campaigns? #InfluencerMarketing #MarketingAnalytics #Attribution #ROI #Data #performancemarketing

Influencer marketing has come a long way. What started as “pay for a post” is now a $21B industry. But here’s the problem: too many brands are still measuring success with likes, comments, and follower counts. Vanity metrics are easy to report, but they don’t answer the question every CEO and CFO asks us as CMOs: Is this driving growth? It’s time to rewrite the rules. ✅ Quality over Quantity The right audience matters more than reach. Micro- and mid-tier creators often deliver deeper trust and better conversions than celebrities. ✅ Commerce over Clicks Influencers aren’t just amplifiers anymore, they’re storefronts. TikTok Shop, Instagram Shopping, and affiliate programs prove that influence = transactions. ✅ LTV over Impressions Customers acquired through trusted voices are often more loyal. That’s long-term value we can measure. ✅ Brand Halo Influencers build cultural relevance and trust in ways paid ads simply can’t. At impact.com, we’ve seen this shift firsthand. Brands use our platform to track every stage of influence, from discovery to commerce impact to lifetime value. By connecting influencer partnerships with performance data, we help marketers prove what we already know: influence is one of the most accountable, growth-driving channels out there. The mandate for CMOs is clear: stop treating influencer marketing as “nice-to-have” brand spend. Start treating it as a core growth channel. Because in the end, influence isn’t about how many people are watching. It’s about how many people are buying.

On your social media feeds, have you noticed a rise in influencer brand partnerships recently? There is a powerful reason why you see so. These influencer collaborations aren’t just driving engagement; they’re significantly boosting revenue for brands on platforms like Meta and Instagram in India and let me tell you how: 1.  74% Increase in Reach: According to 2024 data from EMARKETER, brands partnering with influencers see an average 74% increase in reach, tapping into highly engaged communities that go beyond their organic audience. 2. Higher purchase intent:  As reported by Nielsen, consumers are twice as likely to trust a recommendation from an influencer they follow compared to a traditional ad. This trust translates directly into higher conversion rates, with brands seeing up to a 34% increase in purchase intent. 3. Higher Engagement: Influencer content generates three times more likes, comments, and shares than typical ads, according to HubSpot. These collaborations aren’t just about visibility—they’re driving meaningful interactions that lead to action. 4.Higher Conversion Rate: Influencer marketing enables brands to target particular demographics. Whether it is Gen Z fashionistas or millennial fitness enthusiasts, influencer partnerships ensure the message reaches the right audience, resulting in a 20% higher conversion rate than broad-based ads, according to Forrester Research. 5. Revenue Uplift: Here’s the real deal—influencer-driven campaigns are delivering a significant boost to the bottom line. Brands are reporting up to a 5x return on investment (ROI), with some seeing a 38% increase in direct sales through these partnerships, according to a Statista report. It’s no surprise that Meta and other platforms are fully embracing these influencer collaborations. As an audience, it’s fascinating to see how these posts aren’t just creating buzz but also driving substantial revenue growth for brands. What’s your take? Let’s discuss #InfluencerMarketing #DigitalStrategy #MetaAds #MarketingTrends #RevenueGrowth #ROI #ConversionRates

If you want influencer campaigns that convert, start with YouTube.   It is not the newest platform, but it remains the most effective for driving measurable sales, and too many brands underuse it.   Here’s why YouTube wins for conversions: ▶️ Direct response capability: links in descriptions, pinned comments, and QR codes create multiple, trackable conversion paths. ▶️ Search and discovery: videos keep being found via YouTube and Google long after publication. ▶️ Extended half-life: content continues generating views and conversions months later. ▶️ Deeper relationships: longer watch times build trust, which raises purchase intent and conversion rates.   Short-form content drives awareness quickly, but it rarely sustains conversion momentum on its own. YouTube content compounds: an initial campaign can continue to deliver value for weeks and months, softening CAC as evergreen views accumulate.   Think about YouTube as a performance channel, design creator briefs with conversion in mind, use clear CTAs and optimise descriptions for search and direct response. When integrated into the funnel, YouTube frequently outperforms other platforms on ROAS and lifetime impact.

Ever wonder why 2M followers often mean 0 sales? Let’s talk about real influence beyond vanity metrics. Having worked on big brand campaigns and crunched the numbers firsthand, here’s the raw truth—no fluff, just facts: 🚩 Big followings ≠ Big sales Vanity metrics might impress, but if the audience isn’t engaged, it’s just expensive noise. 🚩 Micro-influencers (10K-50K) drive 4.2X better ROI Smaller creators build trust. And trust? That converts. 🚩 Story-driven content > glossy, static ads People don’t want a sales pitch. They want conversations, experiences, and stories they can see themselves in. 🚩 Non-glamorous networks hold real power Some of the most impactful voices aren’t influencers at all. They’re niche experts, community builders, and industry insiders—the ones who actually drive action. Real influence isn’t about who shouts the loudest, it’s about who people actually listen to. Brands that get this? They win. Brands that chase numbers? They burn budgets. #Marketing #BrandStrategy #InfluencerMarketing

Most teams think of predictive models as answer machines. You ask a question, you get a score. Will this customer churn? How likely is this lead to convert? That's valuable. But it's only half the story. The real gold sits in the SHAP values behind each prediction. SHAP (SHapley Additive exPlanations) breaks down exactly which variables pushed a prediction in each direction, for every single customer or record. Not just "this customer is likely to churn," but why. Was it their purchase frequency? The channel they came from? How much revenue they've generated? Think of it as doing BI on AI. When you analyze SHAP values with a business lens, you stop looking at individual predictions and start seeing patterns. You can identify entire segments that share the same risk drivers. Maybe your high-revenue customers from one acquisition channel are three times more likely to leave than those from another. That's not just a prediction. That's a strategy. This is one of the most overlooked benefits of having a strong predictive model in place. The predictions tell you what's coming. The SHAP values tell you what to do about it. Want to go deeper? Here's a solid breakdown of how SHAP values work: https://lnkd.in/dxMMyhFH