Competitor Analysis In Ecommerce

Have you ever wondered when people are most irritated when calling customer service? I've been diving into Replicant's sentiment data to uncover when customers are most likely to express anger toward our AI agents (and our customers). The results reveal fascinating patterns that connect human behavior, seasonal shifts, and time-of-day preferences. 🌡️ Seasonal Impact: Autumn shows consistently higher anger rates in customer interactions (up to 25% higher than summer). Do people's moods change as winter approaches? ⏰ Time-of-Day Patterns: Early morning interactions (6-8 am) show notably higher frustration levels, suggesting that no one is really a morning person." 📈 Escalation Trajectory: The steady increase in negative sentiment from mid-morning to evening reveals how customer patience deteriorates throughout the day. 📱 Behavioral Shifts: Summer callers call earlier while winter callers cluster later in the day - a perfect example of how environmental factors directly impact customer interaction patterns. These insights aren't just interesting data points - they're actionable intelligence for designing more responsive AI systems that adapt to human behavioral patterns. By implementing time-sensitive response protocols, we can potentially reduce negative interactions by 15-20%. What patterns are you seeing in your customer interaction data? The answers might transform your approach to AI implementation.

Your Vendor Manager suppresses your Buy Box and asks for cost support. Do you pay up or hold firm? 💸✋ The answer depends on three factors: 𝟭. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝘃𝘀 𝗻𝗼𝗻-𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗺𝗮𝗿𝗴𝗶𝗻 𝗱𝗶𝗹𝘂𝘁𝗶𝗼𝗻 First, your teams need to understand why the product is unprofitable to #Amazon. Structural margin dilution is permanent: a lasting decline in average selling price or a cost structure that no longer works at scale. In those cases, renegotiating cost prices or agreeing ASIN-specific cost support makes sense. Non-structural margin dilution is temporary: A promotional period, a seasonal dip, a one-off pricing event. You don't want to permanently reprice a product to fix a short-term problem. Instead, negotiate a time-limited cost support agreement or include Amazon in your rotating promotions across retail partners. 𝟮. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 Not every ASIN deserves the same response. Buy Box suppression on your long-tail portfolio is manageable. On your top-selling ASINs, it's not. If your #1 listing gets suppressed, escalate the conversation across both organisations immediately. The commercial impact is too significant to manage at buyer level. 𝟯. 𝗔𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲 𝗿𝗼𝘂𝘁𝗲𝘀 𝘁𝗼 𝗺𝗮𝗿𝗸𝗲𝘁 Buy Box suppressions only work as leverage when vendors have no alternative. If you operate a 3P account or work with a 3P partner, you can often recoup lost 1P sales through Seller Central. This protects your sales rank and materially weakens your Vendor Manager's negotiating position on future margin requests. 👉 How are you handling margin support requests?  💭 Share your thoughts in the comments! #amazonvendor #amazonstrategy

CMO: evaluating the success of our influencer program solely by short-term revenue driven will lead to the same diminishing returns we're seeing with our performance marketing CFO: wtf do you mean?! CMO: why do we do influencer in the first place? CFO: it's another ROI channel, especially since our performance marketing returns have dropped. CMO: maybe. the whole point of influencer is to provide social proof; we benefit from their audience's trust. CFO: that's the theory; i gave the practical answer. CMO: but here's the problem: when we require that their posts drive revenue, we'll get a short term pop, but it'll get less and less effective over time. By limiting ourselves to evaluate the success of influencer marketing by how it drives short term revenue, we're joining the same race to the bottom we're seeing with our performance marketing CFO: i see your point, but we need measurable ROI. we can track revenue from codes or links, but long-term ROI is hard to measure. short-term attribution isn't perfect, but it's our best option CMO: what about common sense? that seems like a pretty good option CFO: i'm picking up your sarcasm CMO: well i should hope so, because i'm laying it on pretty thick. CFO: oh here we go CMO: when we started, what helped us stand out in a crowded market? CFO: great product and marketing. CMO: and what made the marketing great? CFO: before I joined, my favorite comedian made a funny video about you, which piqued my interest. i visited your IG profile, checked some posts, clicked the link to our site to check it out, and that was it CMO: fascinating. Did those videos prompt you to buy or offer discounts? CFO: (nonplussed) i see where you're going, and I'm not thrilled. No, the videos didn't do that. CMO: so what happened next?? CFO: i didn't need it then, but weeks later, i searched our brand and made a purchase. truth be told, those funny videos made me want to work here in the first place. i hate to admit it, but i didn't like how salesy other similar brands were with their content. it turned me off, and I couldn't tell them apart or remember any of their brand names because all their posts looked the same CMO: and do you think that maybe, just maybe, that could have happened because all those competitors were requiring that their influencer and organic posts were all being measured by how they drove short term revenue? CFO: fine. yes CMO: i rest my case. not saying i have all the answers, but i think we can agree that focusing solely on short-term revenue isn't ideal for evaluating influencer success CFO: i'm coming around to that realization, yes CMO: next time we meet, let's come up with some common sense ways to evaluate the success that take things like your specific experience into account. we did good work here today. CFO: yup. now let's figure out wtf we're doing for BFCM CMO: classic us 

Unpopular opinion: The affiliate-only influencer model is broken 🚫 I keep seeing brands say: "We only work on affiliate/commission basis with influencers." Here's why that's a recipe for mediocre results: What actually happens with affiliate-only:  → Only creators who can't get paid deals say yes → (And there's usually a reason they can't get paid deals...) → You get deprioritized the moment a paying client comes along → Black Friday? Good luck getting cut-through when everyone's promoting everything → You lose creative control and usage rights → No approval process for content quality The reality check: The creators producing quality content that actually converts? They're getting paid upfront by your competitors. Our approach: Some upfront payment + performance bonus = aligned incentives + quality control + committed creators. Yes, it requires more investment. But you get: ✅ Right of approval on content ✅ Usage rights for paid ads ✅ Priority treatment from creators ✅ Strategic partnership, not transactional relationship Bottom line: If you want premium results, you can't expect them from bargain-basement terms. The best creators know their worth. Do you know yours? What's your experience with affiliate vs. paid influencer partnerships? #InfluencerMarketing #CreatorEconomy #MarketingStrategy #ROI

This week, I reviewed a very old campaign report where the numbers just didn’t add up. Despite working with “top-tier” influencers, the engagement was lackluster, and the ROI? Let’s just say it wasn’t worth celebrating. It got me thinking: Are we looking for impact in all the wrong places? Here are 3 ways I wouldn’t recommend to find authentic influencers: 1️⃣ Judging by follower count Bigger isn’t always better. Some influencers with massive followings buy fake followers to inflate their reach. The result? Poor engagement and no real audience connection. 2️⃣ Ignoring audience relevance Partnering with an influencer just because they’re popular doesn’t mean they’ll resonate with your target audience. Relevance trumps reach every time. 3️⃣ Skipping the research Trusting vanity metrics like likes and comments without digging deeper into audience demographics or past campaign results often leads to wasted budgets. Here’s how I’d do it instead: 🥉 Prioritize engagement rates Focus on influencers with an engagement rate of 4% or higher. Tools like Qoruz or HypeAuditor make it easy to vet genuine influencers. ↗️ Look for niche authority Partner with influencers who specialize in your industry. For instance, beauty brands in India thrive with creators like Sungjemlila Longkumer, whose audience deeply trusts her recommendations 🪧 Collaborate Long-Term Build relationships with influencers for ongoing campaigns. Long-term partnerships show audiences that the influencer genuinely believes in your brand. Remember: Numbers may lie, but trust doesn’t. Authentic influencers with real impact focus on building relationships, not just counting followers. What’s been your biggest challenge in finding genuine influencers? Share your thoughts below—I’d love to help! ----------------------------------------------------------------------------- Hi, I'm Aanushree I craft influencer marketing campaigns that resonate, engage, and deliver results. If your brand is ready to build lasting relationships and drive real impact, send me a message to explore how I can help #InfluencerMarketing #socialMedia

Monster Energy is being conquested by Red Bull... Should they be implementing a Brand Defense strategy? This is probably one of the most common questions Amazon sellers and brands grapple with.  Is it worth it to defend your brand? Or are you just poaching organic sales? Here’s how you can test it with the Search Query Performance report. Conduct a four-week test where you turn off campaigns targeting branded keywords. Reallocate that budget to general keyword or category targets. Pull a weekly Search Query Performance report to review how market share metrics change over the course of the month. If the percentage of market share for purchases remains unchanged – you’ll know the ads merely intercepted organic sales that were bound to materialize regardless.  In this instance, reallocating the ad budget towards more general keywords stands as a wiser course of action to drive incremental sales. Conversely, if there's a decline in purchase market share throughout the test – you’ll know shoppers are gravitating towards competitors who are advertising using your brand name.  In this case, you will likely want to return to your Brand Defense strategies, safeguarding loyal customer sales from potential conquesting by competitors. Either way, you gain invaluable insights to assess the cost-benefit dynamics and fine-tune your strategic approach accordingly. What do you think? Would you try it?

The customer support team hit every KPI last quarter. 99.2% CSAT. 2.3 minute average handle time. 94% first-call resolution. The CEO said "exceptional performance!" Then I read the actual tickets: Ticket #47291: Customer called about wedding catering delivery that never showed. 150 guests. No food. Reception ruined. Support response: "Sorry for the inconvenience. Here's a full refund and 20% off your next order." Ticket closed in 90 seconds. Satisfaction survey: 5 stars. Metrics: Perfect. But here's what the dashboard couldn't measure: That couple will never use our service again. They'll tell this story at every dinner party for the next decade. Their friends will choose the competitors. The reality: One "perfectly handled" ticket. Lifetime value lost: $12,000. Word-of-mouth damage: Immeasurable. I started digging deeper into other "high-performing" tickets. Found dozens of these stories hidden behind green metrics. A birthday party disaster marked as "resolved." A business meeting catastrophe labeled "satisfied customer." Anniversary dinner failure tagged "case closed." Each one a perfect score in our system. All of them a brand-damaging story in real life. Yesterday, someone watched Sarah from the support team handle a similar call. Customer: "The flowers for my mom's funeral never arrived." Sarah didn't offer a refund. Sarah didn't close the ticket in 90 seconds. Instead, she said: "I'm going to personally make sure we get flowers to the service. What was your mom's favorite color?" Handle time: 18 minutes. Resolution metrics: Failed. Customer retention: Guaranteed for life. We're measuring efficiency when we should be measuring empathy. Tracking speed when we should be tracking stories. The best customer support doesn't show up in quarterly reports. It shows up in customer conversations five years later.

Early in support, I responded to tickets in the order they arrived. Bad idea. I was constantly stressed, customers with urgent issues waited too long, and I missed patterns that could've prevented repeat tickets. Here's a simple triage system I used and you can start using it today. The 4-Tier Triage Framework Every morning (or start of shift), spend 10 minutes sorting your queue into these four tiers: Tier 1: Blockers (Handle first, within 1 hour) Customer cannot use core product functionality right now. Examples: "I can't log in" "Payment failed but I was charged" "Data is missing from my account" Action: Fix or escalate immediately. Tier 2: Escalation Risk Customer is angry, mentions legal action, or represents significant revenue. For tickets like this responding with speed without clarity will only create problems for you. Pace yourself to go fast. Understand the situation before responding. Watch for phrases like: "This is unacceptable" "I want to speak to your manager" "I'm cancelling my subscription" Action: Personalised response. No templates. Show you're listening. Offer a direct solution or timeline. Tier 3: Repeat Patterns (Batch and document) Multiple customers reporting the same issue. If you see 3+ tickets about the same thing: → Stop responding individually → Alert your team/engineering → Create a saved response for this specific issue and let the team know → Add it to your knowledge base or just update By doing this, you'll prevent 20 more tickets instead of answering them one by one. Tier 4: Everything Else (Handle within 24 hours) Questions, feature requests, general guidance. These matter, but they won't escalate if they wait. Action: Use templates as structure, but customize the opening line based on their tone and the closing with a relevant next step. When I implemented this, I had more time to focus on really complex tickets and work projects. I could actually think instead of just reacting. 2 Mistakes I Made (So You Don't Have To) → Skipping the morning triage: When I tried to triage "as I go," I always ended up in arrival order anyway. The 10-minute investment saves hours. → Not documenting T3 patterns: I'd notice the same issue 10 times but forget to tell anyone. Now I have a Friday ritual: review the week's patterns and flag or document. If you're feeling overwhelmed right now: → Tomorrow morning: Spend 10 minutes sorting your current queue into the 4 tiers → This week: Track one pattern (just one) and document it You're not bad at this. You just need a decision framework that's better than "whatever came in first." This system isn't revolutionary. But it works, and you can implement it in your next shift.

The pressure is increasing on channel marketing to deliver at a new level of scale, complexity, and personalization, and to figure out the people, processes, programs and underlying technology that will drive competitive advantage in the AI era. Gone are the days where you could kick out some MDF dollars, co-sponsor a few customer events, slap your partner's logo on a brochure, and call it a day. With the emergence of a new digital-first (or digital-only) buyer, a platform economy which favors numerous (concurrent) partnerships surrounding this buyer, the end of the cookie resulting in less powerful martech/adtech tools, and a marketing journey that doesn't end at the SQL hand-off, we are at a major inflection point. The responsibility of recognizing early buyer intent signals is moving from growth hackers in the marketing department to channel marketers. Without access to third-party data, companies must now ramp up their second- and first-party data strategies which includes: 1. Having more partners, especially co-selling and co-marketing partners (affiliates, affinity, advocates, ambassadors, influencers), executing their social, search, email, and syndicated content strategies on a vendor-owned platform. Through-channel marketing (TCMA) is having its moment in the sun as the need for buyer intent data can be shared among partners, vendors, distributors, and digital marketplaces - and doesn't require purchasing from Google or Facebook. 2. More emphasis on data sharing throughout the customer journey. Mapping tools (think Crossbeam or PartnerTap) are the next layer of the stack that will create partnering moments when two (or more) companies are sharing important customer moments from their CRM and marketing automation platforms. Attribution tools (think impact.com or Partnerize) also layer in here as the clicks, likes, and other engagement tell an important story about the 28 moments on average a customer spends in their considered purchase. Attribution is quickly moving from B2C to B2B as buying behaviors merge between consumer and business. 3. Rethinking program elements such as deal registration, opportunity management, and lead passing. These resell-oriented processes (which require human workflows) will become more powerful as AI copilots and agents autonomously leverage these tools to the benefit of the partner (protection in deals, visibility, and profitability coming from extra margins or points). 4. Leveraging ecosystem orchestration tools (such as WorkSpan, PartnerStack, or TIDWIT) to map the 7 partners surrounding a deal and the 7 layers of the tech stack that will drive the customer outcome. Also leverage orchestration players such as traditional distribution, cloud distribution, telco TSDs, managed services platforms, and perhaps most importantly, digital marketplaces to get visibility to second-party data. Channel marketers can't underestimate the power of AI in this new era.

Had a call with an Amazon seller looking to go from $10 million to $20 million and chip away at the dominance of Zesty Paws, the brand that exited for $610 million a few years ago. Here are the 5 pieces of advice I shared: 1. PPC Domination: Zesty Paws and a few others were absolutely dominating the top 25 keywords by search volume and this seller wasn't even bothering! I instructed them to dramatically increase PPC budgets and be OK with loss leaders for those top keywords that look bad on paper but product a nice "halo effect" for organic ranking. 2. Listen to the Customer: The seller has an amazing product, but the formulation was completely wrong. Customers want EASE! Their next steps were to go from a messy delivery to a simple dog chew like Zesty Paws. Don't listen to Mark Cuban, the customer knows what they want. 3. Elite Photos That Convert: Your pictures are ever good enough. This is no place for contentment. You have to ALWAYS be improving and be 5 steps ahead of your competitors. This seller was way behind. Some of the changes this seller made was removing distractions from their hero image, reducing text on infographic images, adding a feeding instructions image, and nailing an "Us vs. Them" picture showing damning visuals. 4. Titles Still Matter: In terms of importance, your title is place #1 for high search volume keywords, then it's your search terms, then bullets, then A+ content. This seller had all types of strong marketing language but very few keywords that drove search traffic. They felt unsure about this but once they saw the traffic flood in, they didn't care anymore. 5. Off-Amazon is King: PPC is never enough. This seller had yet to utilize any off-Amazon traffic sources like social media ads, TikTok influencers, and even Lightning Deals on Amazon. That's fixed now. Scaling from 7 to 8 to 9 figures a year on Amazon is incredibly hard, yet I see brad owners achieve this on a regular basis. The key is to ALWAYS be improving your brand and product quality while always listening to customer feedback and observing what the big players are doing. Don’t steal their ideals. Mimic and put your own spin on it! Use these 5 pieces of advice with your brand and adapt accordingly. Winning on Amazon is not easy but it’s within grasp. As always, feel free to ask any questions and I’ll get to them today! #amazonseller #amazonfba #amazonprivatelabel