Competitor Benchmarking Methods

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  • View profile for Jess Ramos
    Jess Ramos Jess Ramos is an Influencer

    ⚡️ Data Science & AI Content Creator w/ 500K+ followers | Developer Advocate & Solopreneur | LinkedIn Learning Instructor | Big Data Energy⚡️ | helping you leverage tech & AI

    264,127 followers

    Things that aren't company culture: 1. Snacks in office (or virtually) 2. Nap pods and ping pong tables 3. Pizza parties & happy hours 4. Casual Fridays 5. Paying less since the company has good culture What is actually company culture: 1. Guilt free mental health and sick days (+ PTO & Maternity leave!) 2. Feeling safe to make mistakes and ask for help 3. Having a manager who advocates for you and shields you 4. Teammates and leaders respecting boundaries 5. Being able to show up as your true self and not a corporate bot

  • View profile for Jeroen Kraaijenbrink
    Jeroen Kraaijenbrink Jeroen Kraaijenbrink is an Influencer
    329,750 followers

    Michael Porter’s three generic strategies are well-known and applied across the world for decades. But did you know he actually defined four? Time to revisit this classic. As one of the most popular strategy tools ever, Porter’s decades-old three generic strategies—differentiation, cost leadership, and focus—is a classic. Its popularity arises largely from its simplicity and general applicability. As it identifies a set of generic strategies, it is applicable to basically every imaginable industry and company. While the three strategies are well-known, Porter also presents them as four rather than three strategies, leading to the matrix shown in the visual. It acknowledges two key dimensions: Scope and Competitive Advantage. Scope refers to the size of the market that is targeted, which can range from very narrow (Niche Market, could even be one or few customers) to very broad (Total Market, often millions of clients all over the world)—and anything in between. Competitive Advantage refers to the main reason customers buy your product or service compared to that of the competition: because it is cheaper (Cost), or because it offers benefits others don’t (Differentiation). This generates four Generic Strategies: Cost Leadership (Cost - Total Market) Description: Offer the lowest possible price to an as broad as possible market Examples: Ryanair, Aldi, Action, Primark Differentiation (Differentiation - Total Market) Description: Offer a distinct, value added product or service to a broad market Examples: Apple, BMW, Coca Cola, Netflix Differentiation Focus (Differentiation - Niche Market) Description: Offer a unique product or service that is highly valuable to a select market. Examples: Ferrari, McKinsey, Rolex, Prada Cost Focus (Cost - Niche Market) Description: Offer the cheapest solution to a select, often local, niche market Examples: mostly unknown small companies such as freelance construction workers, house cleaners and website designers competing on price Porter’s main recommendation is: choose!  Why? Because if you don’t choose, you get “stuck in the middle” Being stuck in the middle is no good for two reasons. First, customers don’t get what kind of company you are and why they should buy your products or services. Second, because trying to combine elements of 2, 3 or 3 even 4 strategies is extremely hard to do, because they require different processes, competences and ways of organizing. So, where are you in this matrix? Do you follow any of the four strategies or are you stuck in the middle? → Join my community and subscribe to my Soulful Strategy newsletter here:https://lnkd.in/e_ytzAgU #strategicplanning #changemanagement #marketresearch

  • View profile for Amit Kumar

    Buying & Merchandising | Trends & Insights - Fashion Retail Independent Consultant | Ex Calvin Klein, Tommy Hilfiger, Diesel, TataCLiQ Luxury | IIM-L, NIFT-D

    13,799 followers

    Price benchmark and positioning is one of the most important aspects for a new fashion brand launch. More so if it is an international brand launching in the diverse and competitive Indian market. The key benchmark of course would be the brand's base market price positioning as a starting point. More importantly to consider its global competition brand’s existing price positioning in India. And try to marry both outside-in and inside-out perspectives to identify that sweet spot in the market. Just applying a multiple on to the brand’s base market pricing for India may not suffice to cut through. It’s more nuanced than that, below are some key factors to consider: 🔸Brand's own market price positioning and aligning India pricing with that. M&S had to revise and reduce its pricing within a few years of its launch in India back in 2001, to align more with the market and be competitive. 🔸Brand’s global competitors pricing in India and their positioning vis-à-vis brand’s global benchmark. For example, a European denim brand starting 100 euros mrp planning to launch in India, would need to see its price benchmark with Levi's both in Europe as well as in India market to compare and align accordingly. 🔸Net landed cost including custom duty, freight etc and India sourcing mix requirements to reach ideal gross margins while maintaining global product standards & price competitiveness in the local market. Many leading international fashion brands operating over many years in India have successfully been able to offer that with scale and continue to grow. 🔸Pricing basis product perceived value, core vs fashion, categories etc and may price at a premium as/if needed, or sharper to try and sell more on fullprice and less on discounts. Zara entry price products in India are priced much sharper vis-a-vis higher price products in comparison with global price benchmarks, just to cater to that sweet price point for its TG. Thanks to social media, today customers are well informed about brand price positioning in the global market and would compare its pricing in Dubai, Bangkok etc or even the EU and US markets with the one in India, and make their shopping choices accordingly across brands and markets as accessible. Sharing snapshots of SS25 season men's t-shirt basic entry price point comparison for like-for-like style across brands in India and its global base market for perspective. Your thoughts? #Pricing #Positioning #Benchmark #Fashion #International #Brand #India #Market #Launch #Strategy

  • View profile for Himanshu Kumar

    Building India’s Best AI Job Search Platform | LinkedIn Growth for Forbes 30u30 & YC Founders & Investors | Building your personal brand | 200+ Profiles, 150+ Mn Impressions | Marketing & Brand Building

    281,432 followers

    The most expensive mistake in business isn't financial - it's cultural. Here's the data... Last month, I watched a "successful" company implode. - Revenue was up 40% - Profits were soaring - Growth was explosive But something was rotting from within. The numbers told one story. The empty desks told another. Get Real-time Interview Assistance Here- https://bit.ly/4h3iGd7 Create Free Cover letter Here- https://bit.ly/406H1rK Get Jobs & Internship Updates Join Below:- . WhatsApp👉 https://lnkd.in/ghPTzV6m . Telegram👉 https://lnkd.in/ePxtYkFH . Here's what the research reveals about culture's true cost: 1. The Hidden Multiplier: • Companies with strong cultures see 72% higher employee engagement • Engaged teams are 21% more profitable • Positive workplace cultures boost productivity by 30% 2. The Expensive Exodus: • Poor culture doubles employee turnover • Each lost employee costs 1.5-2x their salary • High performers flee toxic cultures first But here's what fascinated me most: Louis Gerstner (Former IBM CEO) said it perfectly: "Culture isn't just one aspect of the game - it is the game" The science backs him up: 3 Critical Culture Metrics: • Employee engagement • Customer satisfaction • Cash flow When one falls, the others follow. I learned this lesson the hard way: Skills? Outstanding. Results? Exceptional. Culture? Toxic. Within 6 months: - 4 top performers quit - Client satisfaction plummeted - Innovation stopped Then everything changed. We rebuilt around 3 culture principles: 1. Trust Over Control (Give people autonomy to make decisions) 2. Growth Over Performance (Invest in development, not just results) 3. Purpose Over Profit (Connect work to meaningful impact) The results? • Employee turnover dropped 50% • Productivity jumped 40% • Innovation flourished The Oxford research is clear: A positive culture doesn't just feel better. It performs better. Your culture is your company's immune system. Strong? It fights off problems. Weak? Everything becomes a crisis. Is your culture multiplying your success? Or dividing your potential? The answer might be worth millions. What's one thing you're doing to build a stronger culture?

  • View profile for Lenny Rachitsky
    Lenny Rachitsky Lenny Rachitsky is an Influencer

    Deeply researched no-nonsense product, growth, and career advice

    341,615 followers

    Sean Ellis invented the ICE prioritization framework, coined the term "growth hacking, was one of the earliest people to use freemium as a growth lever, and, most famously, developed the widely used Sean Ellis Test for product-market fit. Over the course of his career, Sean was head of growth at Dropbox and Eventbrite, helped Microsoft and Nubank refine their growth strategy, and is the author of one of the most popular growth books of all time, Hacking Growth, which has sold over 750,000 copies. In our conversation, Sean shares: 🔸 The proper use of the Sean Ellis Test for measuring PMF 🔸 How to increase your activation and retention rates 🔸 How to select your North Star metric 🔸 Case studies from growing Dropbox and other products 🔸 How growth strategy has changed over the past decade 🔸 How AI is already impacting growth efforts 🔸 Much more Listen now 👇 - YouTube: https://lnkd.in/g59FDqw2 - Spotify: https://lnkd.in/g7j2sHgd - Apple: https://lnkd.in/gH8CshEE Some key takeaways: 1. The “Sean Ellis Test” is a leading indicator of product-market fit. Run it by asking your users, “How would you feel if you could no longer use this product?” with options: “Very disappointed,” “Somewhat disappointed,” “Not disappointed,” or “Not applicable.” If 40% or more respond with “Very disappointed,” you have a strong indication of PMF. 2. Dig into the users who would be “very disappointed.” Use the insights to reposition your product, refine your messaging, and add/remove features, aiming to grow your “very disappointed” user group to 40% of all your users. 3. Sean recommends focusing on growth investments in this order: a. Activation/onboarding b. Engagement c. Referral d. Revenue model e. Acquisition 4. To increase customer activation, first identify the root cause of low activation rates. The simplest way to do this is by asking your users directly—through surveys, messages, or even notes via the customer service team. Often the issue is that users lack an understanding of your product’s functionality and benefits. To address this, focus on improving your positioning and messaging. 5. Choose a North Star metric that reflects the core value your product delivers to users. This metric should be actionable, not a ratio, and capable of scaling up over time. It should correlate with revenue growth but should not be revenue itself. Ensure that it provides a clear direction for the team and aligns with customer value. 6. The ICE framework, developed by Sean, stands for “impact, confidence, ease.” It streamlines the prioritization process by concentrating on these three essential criteria. This method helps you assess tasks or initiatives based on their potential impact, your confidence in their success, and their ease of implementation.

  • View profile for Nico Orie
    Nico Orie Nico Orie is an Influencer

    VP People & Culture

    17,334 followers

    AI adoption. Nothing new here — yet we keep falling into the same trap We’ve seen it with every major technology rollout in history: organizations focus on technology first, assuming that if the tool is powerful, adoption will naturally follow. But the data show the same pattern repeating— and it’s happening again with AI. AI is improving fast, yet adoption seems to stall. Nothing new here. Even positive changes disrupt routines, and many employees stick with familiar processes because they fear complications, slowdowns, or automation replacing their role. Deloitte’s recent TrustID Index tells a familiar story: Trust in company-provided generative AI fell 31% between May and July 2025. Interestingly the index also shows 43% of employees admit to using unapproved AI tools, often due to lower trust in official systems. In other words there is a basis of interest in the new technology that companies could leverage if they just would be smarter in their AI deployment. Trust rises when AI is: . Integrated into workflows . User-friendly . Supported with training . Shown in real-world examples . Recommended by peers Nothing groundbreaking here, but many companies simply don’t do it enough. Employees don’t inherently distrust AI — they distrust how their company implements and supports it. Access alone won’t guarantee adoption. To succeed, leaders must prioritize trust, clear communication, and human-centered design, not just the technology itself.

  • View profile for Amir Nair

    My mission is to Enable, Expand, and Empower 10,000+ SMEs by solving their Marketing, Operational and People challenges | TEDx Speaker | Entrepreneur | Business Strategist | LinkedIn Top Voice

    17,166 followers

    Customer experience collapses when teams avoid accountability. Real customer centricity needs structured systems that consistently capture feedback, act on it, and evolve with customers. Top performers build frameworks to: 1) Collect feedback systematically. 2) Analyse patterns across touch points. 3) Prioritise improvements and hold teams accountable. 4) Adapt in real time as customer demands evolve. This disciplined approach delivers strong business outcomes. Companies that invest in customer-experience systems see up to 1.5× higher retention and repeat-purchase rates than those that don’t. Also better customer experience correlates with 8% higher revenue than the industry average. Beyond financials, teams become more aligned, responsive and motivated. Customer success becomes a company wide mission. Set up a feedback to action loop. Use standardised surveys, CRM linked feedback tracking and regular review cycles. Assign owners. Turn insights into process improvements and track impact. Customer centric growth isn’t accidental. It’s engineered with data, empathy, discipline, and accountability. Launch your first feedback to action cycle this month. Even one improvement can trigger loyalty, referrals and growth. Start building what matters! #startups #customer #growth

  • View profile for Justin Bateh, PhD

    AI, Leadership, and Career Growth | Chief Editor @ Tactical Memo | PhD, PMP | Award-Winning Professor & LinkedIn Learning Instructor | Helping managers, operators, & leaders navigate the AI era & advance their careers.

    199,470 followers

    Top performers will spot the red flags fast. 11 signs of a horrible company culture: 1/ Fear Rules Daily → Mistakes equal punishment, not learning opportunities → Questions are discouraged with subtle hostility → Information is weaponized for power plays → Blame flows downward, credit evaporates → People self-censor to protect their careers 2/ Loyalty Means Silence → Disagreement equals disloyalty, even when right → "Team player" means blind agreement with leadership → Critical thinking gets labeled as "not aligned" → Yes-people get promoted, thinkers get sidelined → Truth-tellers disappear quietly from meetings 3/ Burnout Is Celebrated → Overtime is expected, not compensated → Balance means "weak commitment to success" → Vacation requests face passive-aggressive resistance → Breaks equal laziness in leadership's eyes → Health concerns are career limitations 4/ Leadership Hides → Decisions are mysteries until they hurt → Communication is one-way propaganda → Feedback gets ignored until talent leaves → Problems stay invisible until crisis hits → Credit flows upward, responsibility down 5/ Growth Is A Myth → Promotions lack clarity but never lack politics → Skills stay stagnant while expectations rise → Mentorship doesn't exist beyond lip service → Training budget vanishes first in every quarter → Potential dies slowly in endless meetings 6/ Politics Trump Results → Relationships beat performance metrics always → Favorites win regardless of impact → Merit means nothing against connections → Innovation threatens status quo defenders → Mediocrity gets rewarded with stability 7/ Toxicity Is Normal → Gossip drives decisions behind closed doors → Bullies go unchecked if they deliver numbers → HR protects power structures, not people → Good people leave first, quietly → Bad behavior has immunity if revenue follows 8/ Trust Dies Daily → Promises stay empty but expectations grow → Words contradict actions consistently → Transparency is fake corporate theater → Honesty gets punished with isolation → Cynicism spreads faster than good news → Documentation becomes self-defense 9/ Values Are Theater → Posters replace action on every wall → Ethics flex with quarterly pressure → Mission statements lie beautifully → Culture deck is fiction everyone quotes → Reality stays hidden from shareholders → Core values change with each CEO 10/ Talent Bleeds Out → Best people leave first, worst stay forever → Hiring stays desperate but standards drop → Standards keep dropping to fill seats → Quality people avoid you after interviews → Mediocrity becomes normal, then policy → Brain drain accelerates monthly 11/ Innovation Is Dead → Risk-taking gets crushed by committees → Ideas die in meetings about meetings → Change threatens power structures → Safe decisions win against smart ones → Future becomes past while competitors win → Disruption is a threat, not opportunity How many red flags do you see at your company? ♻️ Repost and follow Justin Bateh for more.

  • View profile for Emad Khalafallah

    Head of Risk Management |Drive and Establish ERM frameworks |GRC|Consultant|Relationship Management| Corporate Credit |SMEs & Retail |Audit|Credit,Market,Operational,Third parties Risk |DORA|Business Continuity|Trainer

    14,828 followers

    🔍 What Is a Risk Assessment Methodology? A risk assessment methodology is the structured approach an organization uses to identify, analyze, evaluate, and prioritize risks. It ensures consistent, repeatable assessments across all business areas and is essential for risk-informed decision-making. ⸻ ✅ Core Components of a Risk Assessment Methodology: 1. Risk Identification • Pinpoint what could go wrong (risk events). • Sources: business processes, historical incidents, regulatory changes, third-party risks, IT systems, etc. • Tools: brainstorming, risk checklists, process walkthroughs, SWOT, interviews, PESTLE. 2. Risk Analysis • Determine the likelihood and impact of each risk. • Approaches: • Qualitative (e.g., High/Medium/Low or Heat Maps) • Semi-quantitative (e.g., scoring systems 1–5 for likelihood and impact) • Quantitative (e.g., Monte Carlo, VaR, financial modeling) 3. Risk Evaluation • Compare risk levels to your risk appetite and tolerance thresholds. • Decide which risks are acceptable, and which need treatment or escalation. 4. Risk Prioritization • Rank risks based on their score to allocate resources effectively. • Often visualized in a risk matrix or heat map. 5. Risk Treatment (Optional in Assessment Phase) • Recommend how to handle critical risks: • Avoid • Transfer • Mitigate (via controls) • Accept 📊 Common Methodologies Used: 1️⃣ISO 31000 Framework Emphasizes integration, structure, and continuous improvement in risk management. 2️⃣ COSO ERM Framework Aligns risk with strategy and performance across governance, culture, and objective-setting. 3️⃣ Basel II/III for Financial Risk Used in banking and finance, focusing on credit, market, and operational risk. 4️⃣ NIST Risk Assessment Applied in cybersecurity and federal agencies, emphasizing threats, vulnerabilities, and impacts. 🎯 Best Practices: • Use both inherent and residual risk ratings. • Involve first-line teams for accurate process-level risk input. • Align methodology with risk appetite and strategic objectives. • Document risk criteria (likelihood/impact definitions) clearly. • Update the risk assessment periodically or after significant events.

  • View profile for Lily Grozeva

    Helping brands survive and thrive in the AI Search shift.

    5,783 followers

    AI Search audits are all the buzz now, at least in my inbox. Here is how the three-leg approach and tools I use look like. Prerequisite (what you need before you start): • top priority queries, key topics, and industry-relevant use cases; • personas - 2-3 tops; • up to 5 competitors • access to GA4, Search Console, Bing Webmasters, and the tools you are going to use (see below) 1. AI Platform Visibility Analysis Peec AI, Mangools, Ahrefs, Semrush, Brand24, Screaming Frog • Current AI chatbot rankings - I do ChatGPT, Claude, Perplexity, Grok 2, and Gemini; if you need to cut down, go with ChatGPT only (the highest market share); • Content inventory analysis - a regular content audit, just focused on the technical docs, blog posts, case studies, FAQs, etc (or the lack thereof); • External citation analysis - do citation analysis for the top digital watercoolers in your niche (in my case these are G2, Capterra, TrustRadius, StackOverflow, Reddit, Github, etc.); + add competitor citation gap to it, if you want to expand; 2. Technical SEO for AI Readiness Screaming Frog, Lumar (formerly Deepcrawl) • Semantic markup audit - audit your current schema implementation, again - focus on the technical docs, blog posts, case studies, FAQs, use cases; review meta descriptions and title optimization, OG tags and Twitter cards. Tools • AI training accessibility - review the XML sitemaps, robots.txt configuration + allowance of the AI crawlers; • Site architecture analysis - check content accessibility depth (usually not a impactful for the B2B websites, but just to be on the safe side). 3. Content analysis Ahrefs, Semrush, Bing Webmasters • Conversational content mapping - map the existing content to funnel stages; make a quick cross-check with existing content of competitors to identify gaps and opportunities • SERP analysis for key topics - analyze top 20 results for the primary topics; consider citations from 1.; pay attention to the competing content types - these are golden for hints what is considered top content for this query • Bing-specific analysis (for ChatGPT) - dust off the Bing Webmasters, take the technical status and backlinks for big fall outs; the content assessment from above is applicable for Bing too. Recommendations: • Content strategy recommendations - priority content creation list based on the gap analysis; might consider UGC strategy and/or launching a new content type (like product-specific Glossary) • Technical optimization plan - list the recommendations you have from all tech findings - schema improvements, robots.txt and schema updates, internal linking etc. • External presence enhancement - acquisition plan for all citation opportunities, build/update your community engagement strategy; The cherry on top is the ability to give the client a final AI Search readiness score, simple enough to help them understand their position. There are tools out there like Mangools that provides just that.

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