Analyzing Competitors' Ecommerce Value Propositions

Competitor Analysis: The Achilles heel of your business strategy Understanding customer value requirements, and understanding your company capabilities, are two very important areas to effectively explore, yet without the third leg of your stool, your business strategy can fall short, and that third leg is; understanding competition For a company to create a winning value proposition, it has to WIN competition. And for that, the company needs a robust ongoing practice of effective competitor analysis Competitor Analysis: from reactive to proactive The majority of companies in the region, are superficial in their competitor analysis, i.e. they do not have a rigorous practice backed by resources and triggered by clear objectives Yet in the dynamic realm of business, competitor analysis is becoming less and less optional. Institutionalizing competitor analysis, and harnessing this practice’s power is effectively a critical enabler for navigating the complexities of the business landscape A good starting point is Identifying your competitors, and despite this step seeming relatively straightforward, a lot of companies approach it in generic and ineffective ways, by merely listing the companies in the same category as main competitors The Optimal Way The optimal way is to; first, identify your ideal customers, then, start looking where do they shop for their value requirements, i.e. who do they think are the players in the same value category Narrow the list down to 2-5 direct/indirect competitors, and start digging deep into “what they are selling” and “what they are telling”, i.e. what value are they offering and how customers see their; value proposition/offering, products and services, brand messages, brand health, marketing efforts, physical and digital presence, among other things Staying ahead of competition is not just a strategy, it is a necessity, where competitor analysis works as a critical enabler for innovating beyond others In today’s business context where information is power, not having a comprehensive consideration and understanding of your competitors could quite well be the Achilles heel of your business strategy May your efforts pay off … #businessstrategy #competitiveintelligence #innovation

Stop guessing what customers want. Your competitors' reviews have the answers. Here's my exact process for extracting opportunities from your competitor reviews: Step 1: Gather competitor reviews automatically Use this prompt on Chat GPT Deep research: "Task: Collect up to 100 English-language customer reviews (or as many as are publicly available if fewer than 100) for [Competitor Product/Service] from the following platforms: Amazon Google Reviews Industry forums (e.g., Reddit) [Companies official website] Etc. Requirements: Include both positive and negative feedback for each platform. Only include reviews written in English. There is no restriction on date range – include reviews from any time. If fewer than 100 reviews are available on a platform, include all available. Organize the reviews into a table grouped by platform, with two columns: one for Positive Reviews and one for Negative Reviews." Why it works: → Ensures comprehensive data across multiple platforms → Captures both praise and complaints for complete picture → Structured format makes analysis easier in next steps Step 2: Extract key customer pain points Prompt: "Analyze these reviews and identify the top 5 recurring pain points. For each, include customer quotes and rate the emotional intensity on a scale of 1-10." Why it works: → Focuses on patterns, not outliers → Captures authentic customer language → Prioritizes by emotional impact Step 3: Identify unmet needs across competitors Prompt: "Create a comparison matrix showing which customer needs remain unmet by all analyzed competitors. Highlight the biggest market gaps." Why it works: → Visualizes patterns across competitors → Identifies true market gaps → Prioritizes highest-value opportunities Step 4: Validate findings with targeted research Prompt: "Based on these unmet needs, create 5 survey questions I can use to validate these findings with my own audience." Why it works: → Connects directly to identified gaps → Keeps surveys focused and completion-friendly → Validates before investing resources Step 5: Prioritize opportunities by impact and effort Prompt: "For each opportunity, help me estimate: 1) Revenue impact, 2) Development complexity, 3) Time to market, and 4) Competitive advantage duration. Then rank them." Why it works: → Balances reward against effort → Considers long-term competitive advantage → Forces clear prioritization What product would you like to enhance using this method? Share below and I'll help you craft the perfect prompts for your specific situation.

Your competitors are revealing their strategy. It’s hiding in plain sight on their pricing page. ✨ Want to use AI for competitive analysis? Here’s a prompt for seeing the hidden strategy of a pricing page. Last week I published an article where I broke down Kit's strategy based solely on their pricing & home pages. I walked through a 5-part framework to lay it out in plain terms: target market identification, revenue model analysis, and more. One thing I glossed over in the article – how I used AI in my analysis. I came up with the initial hypotheses, and then had AI take a second look. It found a few details related to pricing structure that I missed. Use this prompt to get a structured strategy a structured teardown of their pricing psychology, positioning, and customer targeting. AI-powered product management is here. Tried the prompt? Drop your review in the comments. And to read my full breakdown of Kit’s strategy based on their pricing, take a look at the article (in the comments) ✨ ✨ ✨ ✨ ✨ ✨ ✨ ✨ COMPETITIVE STRATEGY PROMPT You are a strategic business analyst skilled at decoding company strategy through pricing structures. [Add in a few sentences about the company here] Analyze the pricing page of this company using the following framework to extract insights about their business strategy: 1. Target Market Identification - Who is the ideal customer based on plan names, descriptions, and language? - What types of users are implicitly excluded? - What signals (features, tone, tiers) show who the product is built for? 2. Revenue Model Analysis - What is the primary value metric (e.g., users, features, usage)? - Are there secondary monetization streams (add-ons, integrations)? - What does this reveal about their business model and assumptions? 3. Premium Value Proposition - What features are reserved for higher-tier plans? - What does this imply about the needs of their highest-value customers? - How does the structure signal what they see as high-value use cases? 4. Competitive Positioning - What differentiators do they emphasize? - Which market segments are they not addressing? - How does the pricing structure compare with common industry approaches? 5. Future Direction - What do pricing trends or product tier evolution suggest about the company’s growth path? - Are there features or pricing changes that hint at strategic pivots or scaling plans? Use this structured breakdown to extract this company's business priorities, competitive stance, and projected direction. Present your analysis clearly, with each section backed by specific elements from the pricing page.

Just last month, we implemented a few new hacks in our competitive analysis process, and the results have been phenomenal. 🔥 We identified gaps in our strategy and fine-tuned our campaigns, leading to a significant boost in engagement and conversions. 🥊 THE OPPORTUNITY Competitive analysis is crucial in today’s fast-paced marketing world. Yet, many marketing people are still using outdated methods or struggling with time-consuming processes. Here’s the thing: with the right hacks, you can streamline your competitive analysis and uncover valuable insights with minimal effort. 👉 WHY YOU NEED THIS Understanding your competition isn’t just about knowing who they are—it’s about identifying their strengths and weaknesses and leveraging that knowledge to your advantage. But, only a small percentage of marketers are utilizing advanced competitive analysis tools and techniques. Those who do often find themselves at a significant advantage. 🤘 THE HACKS ✅ Automate Data Collection: Use tools like Semrush, Ahrefs, and Similarweb to gather data on your competitors’ traffic sources, keywords, and backlinks automatically. This saves time and ensures you have up-to-date information. ✅ Leverage Social Listening Tools: Platforms like Brand24 can help you monitor competitors’ social media activity and audience engagement. Gain insights into their content strategy and identify trending topics in your industry. ✅ Competitive Benchmarking: Regularly compare your performance metrics (like engagement rates, conversion rates, and traffic) against your top competitors. Tools like Rival IQ and Klue make it easy to benchmark and track progress over time. ✅ Analyze Their Content Strategy: Use BuzzSumo to see which content types and topics are performing best for your competitors. Identify gaps in their strategy that you can exploit. ✅ Customer Feedback Analysis: Check review sites like G2, Trustpilot, and social media comments to understand what customers love or dislike about your competitors. Use this feedback to improve your own offerings and address unmet needs. ✅ Monitor Paid Ad Campaigns: Tools like Facebook Ad Library allow you to see what kind of ads your competitors are running and how they’re performing. Adjust your own ad strategy based on these insights. 🔱 RECOMMENDATION Start integrating these competitive analysis hacks into your regular workflow. Encourage your team to stay updated on the latest tools and techniques, and make competitive analysis a priority in your marketing strategy. PS - While traditional methods still have their place, these hacks can give you a competitive edge in a fraction of the time. Don’t miss out on this opportunity to supercharge your marketing efforts.

We’ve generated $400,000,000+ for our DTC clients largely because of 1 thing: A bulletproof research process (shared below). For context, we’re *very* research-intensive for all of our brand partners. We don’t guess and make assumptions of a brands customer’s:  - Likes  - Problems  - Worries Every brand is unique - so we figure out everything about their customers from scratch. Here’s a condensed research flow we run: (1) Reviews & Testimonials We extract your review data from your website & other public review sites. The more the better: We then run them through an AI tool to pull out:  - Common pains  - Common frustrations Especially highlighting the issues that the brand’s product directly solves. We'll then ask the AI to outline the common benefits that the product solves. Just like that - we’ve built the foundations of a comprehensive client profile. One that’s up to date with problems & solutions that we can use in ads. (2) Shopify data analysis This helps us understand the brand’s unit economics. It’s almost like opening up the “trunk” of the brand & collecting their:  - AOV (determines sustainable ad spend)  - Conversion rate (shows product page effectiveness)  - Return customer rate (shows product satisfaction)  - Top-selling products (shows market preferences) All areas we can analyze & determine where we can squeeze more revenue from. (3) Analyzing competitors Key questions we want to answer here: What marketing angles are proven to work? How can we differentiate effectively? We’re not afraid to get gritty, which means: Signing up for our competitor’s email list… Searching Meta ad library for long-running competitor ads… All in the name of getting a firmer feel of the market. (4) Google Ads analytics This is big on helping us understand the “intent” of the customers. The key-words they’re searching for… The search-intent they have… Even as far as desktop versus mobile usage (figuring out where they consume our content). The goal here is to validate the customer avatar assumptions we’ve made from the previous pillars. It’s more on the technical side but it’s helpful in pin-pointing our avatar precisely. (5) Facebook ad analysis We round off by deep-diving into the facebook ad account. Usually sorting by the best performing creative & high-performing hooks. We’ll pick apart creative elements that drove performance… Getting rid of what’s underperformed & making what *has* performed even better. Which we’ll use to help guide the next set of ads & improve ad performance. The big takeaway here is that we’re rigorous with research. Without that visibility - you’re like a deer in headlights. With it? It almost feels like a cheat code at times. In my experience over the last decade of running ads for DTC brands… Research drives performance. No two ways about it.

I ran a 14-day test to "audit" a competitor's marketing strategy: What I did over the 14 days: Day 1 of competitor analysis: - I visited their website on day 1 - I audited PDPs - I mapped their hierarchy of intent Day 2-5 of competitor analysis: (Now it gets interesting) - I logged the times of their remarketing ads - Screenshot every variation + timestamp them - Note any sequencing (are they rotating creatives or hammering one offer?) Days 6-8 on their email funnel: - I sign up for their list - I trigger an abandoned cart - I track subject lines, timings, and offers in their flow Day 9 is purchase day: - I fired up their store - I recorded the buying journey - I made the purchase - I took screenshots of up/cross-sells - I checked their thank-you email Day 11 the product arrived: - I audited how happy the delivery driver is (Joking) - I looked at the quality of the packaging - Of course I tested the product Days 12-14 the post-purchase follow-up: - I watched follow-up emails and retention tactics - I checked if/how they requested reviews - I noted any loyalty, referral, or subscription pushes This might seem a bit much lol. But after 14 days, I’d mapped their acquisition & retention journey. The best part? You can stack this against your brand and instantly see the gaps. Would you run this 14-day test on your top competitor? P.S the screenshot is just part of the buying journey you can look at. #Shopify | #Ecommerce

🔍 Competition analysis- 2 critical words that you need to take seriously! Here's a framework for conducting competitive analysis that goes beyond surface-level research: 1. Start With the Right Mindset - Don't just track what competitors do – understand WHY they do it - Focus on patterns, not individual actions - Look for gaps they're missing, not just what they're doing well 2. Map Their Customer Experience - Shadow their customer journey as a mystery shopper - Document every touchpoint from awareness to post-purchase - Note emotional highs and lows throughout the experience - Identify where they excel and where they drop the ball 3. Follow the Money Trail - Analyze their pricing strategy and positioning - Track promotional patterns and discount strategies - Monitor their expansion into new markets/products - Study their customer retention tactics 4. Decode Their Digital Footprint - Set up Google Alerts for competitor news - Use tools like SimilarWeb to track traffic sources - Monitor their social media engagement patterns - Analyze their content strategy and messaging evolution 5. Talk to Their Customers - Read customer reviews across platforms - Join industry forums where their customers gather - Conduct win/loss analysis with shared prospects - Identify common pain points and satisfaction drivers 🔑 PS: Create a "Competition Dashboard" that tracks these metrics monthly. Look for trends, not just data points. 💡 Remember that the goal isn't to copy your competition – it's to understand the market deeply enough to chart your brand's own unique path forward. What's your most valuable competitive analysis tip? Share in the comments 👇🏻 #Day30 #100daysoflearning