How to Analyze Your Game Competitors: A Step-by-Step Guide: 1. Identify Competitors • Go to AppMagic (https://lnkd.in/ek8Npiyr) • Select your game subgenre. • Choose top 2-3 games from "Top Grossing" and "Top Free" categories. • Check the “Competitors” tab to find games with the highest overlap scores. 2. Compile a List • Include both high-revenue games and underperformers. • This helps you see the full range of competitive elements in your space. 3. Study Reviews • Go to the App Store (https://lnkd.in/e2Ajf7j4) or Google Play (https://lnkd.in/eNJdH5hg) • Download games-competitors • Check reviews on this games • Look for common feedback: What do players love? What’s missing? What’s frustrating them? 4. Play and Analyze Key Aspects • FTUE (First-Time User Experience): Evaluate tutorials and initial game goals. • Core Gameplay: Identify mechanics, gameplay loop, and engagement factors. • Progression & Balance: Assess pacing, difficulty, and resource availability. • Visuals: Rate readability, interface quality, and overall visual appeal. • Monetization: Look at purchase incentives and how monetization affects gameplay. 5. Document and Organize Findings • Take screenshots of key moments (FTUE, gameplay, progression, monetization). • Sort visuals into categories on a board in Miro or Figma. 6. Compare and Contrast • Note common themes, differences, and why certain games outperform others. 7. Study Competitor Ads • Go to Facebook Ad (https://lnkd.in/e5RJqQi9) • Use it to view top competitors' ad creatives. • Look at what they emphasize, their creative concepts, and patterns in their approach.
Mobile Competitive Analysis
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Summary
Mobile competitive analysis is the process of studying and comparing mobile apps or products to understand what competitors are doing well and where they fall short. By examining competitor features, user experience, traffic data, and market strategies, companies can make smarter decisions to stand out in a crowded app marketplace.
- Identify competitor strengths: Play, review, and document top-performing apps to see which elements attract and retain users, such as gameplay, design, progression, and monetization approaches.
- Analyze real-world data: Use available tools to evaluate competitors’ mobile and desktop traffic, Core Web Vitals, and user sentiment from reviews to uncover experience gaps and opportunities.
- Monitor updates continuously: Set up systems or automated tools to track competitor launches, pricing changes, and new features in near real-time, helping your team respond quickly to market shifts.
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💡Competitor analysis in product design (checklist & tools) Competitor analysis is a critical part of the product design process that helps you understand the market, ensure your product meets the needs of your target customers, and identify opportunities for growth. ✅ Identify your primary and secondary competitors ✔ List direct competitors (Those offering similar products or services within the same market niche) ✔ List indirect competitors (Those offering alternative solutions to the same customer needs or problems) ✔ Identify potential new entrants to the market ✅ Gather information about your competitors ✔ Identify the primary user demographics and personas of competitor products. ✔ Collect data on competitors' product features & specifications (What does the product do? How does it work?) ✔ Analyze competitors' design, usability, and customer experience (How is the product designed? Is it user-friendly?) ✔ Review the technology stack that competitors use (What technologies are used in the product?) ✔ Customer support (How do they handle customer service and support?) ✅ Customer insights ✔ Analyze customer reviews and feedback on competitors' products (AppStore/Google Play, TrustPilot reviews) ✔ Conduct surveys with the target audience to understand customer perceptions of competitors. ✔ Monitor social media and online forums for customer sentiments about competitors. ✅ Sales and marketing insights ✔ Research competitors' pricing strategies and models (How much does the product cost? What value does the price convey?) ✔ Investigate the market positioning of competitors (How is the product positioned in the market? Who is the marketing persona?) ✔ Review promotion strategy (How do they promote their product on the market? What channels are they using?) ✔ Look into their strategies for acquiring and retaining users. ✅ Financial analysis ✔ Review available financial data on competitors (e.g., revenue, profit margins). ✔ Gather data on their market share, growth rate, and user base size. ✔ Understand competitors' pricing strategies. ✅ Conduct (Strengths, Weaknesses, Opportunities, Threats) analysis ✔ Strengths (What are they doing well? Identify what competitors do well in design, technology, market reach, and user engagement) ✔ Weaknesses (Where are the gaps? Pinpoint areas where competitors fall short, offering potential opportunities for your product) ✔ Opportunities: Look for gaps in the product design/marketing that competitors are not addressing. ✔ Threats (Identify challenges that could cause trouble for your project) 🔨 Tools ✔ Competitor analysis summary for Notion https://lnkd.in/dWD4JqmU ✔ Competitive Analysis Template for Miro https://lnkd.in/dxUrJNWX ✔ SWOT analysis template for Figma https://lnkd.in/dbAXxx4V 🖼 by Miro #competitoranalysis #SWOT #customeranalysis #competitorresearch #ux #productdesign
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How to see your competitor's real mobile/desktop traffic split in 60 seconds: Google built a free tool called 𝗰𝗿𝘂𝘅𝘃𝗶𝘀.𝘄𝗶𝘁𝗵𝗴𝗼𝗼𝗴𝗹𝗲.𝗰𝗼𝗺 that pulls real user data from Chrome browsers. Chrome holds 67.72% of the global browser market. Here's the 4-step process to uncover precise mobile/desktop numbers for your competitors: 1. Go to 𝗰𝗿𝘂𝘅𝘃𝗶𝘀.𝘄𝗶𝘁𝗵𝗴𝗼𝗼𝗴𝗹𝗲.𝗰𝗼𝗺 Enter any domain. No login. No API key. No cost. 2. Set controls - Select "origin" (site-level data) - Set device to "all" 3. Click "all metrics" in the left pane This pulls every Core Web Vital metric Google actually factors into its ranking systems. Not Lighthouse scores. Not lab data. Real user data. 4. Scroll to "form factors" You'll see the exact mobile/desktop/tablet breakdown for that site. We've cross-referenced CrUX form factor data against our own GA4 properties and the ratios line up almost exactly (see screenshot). This isn't a directional guess; it's the closest thing to reading a competitor's analytics without logging in. It reminds me of the old PageRank toolbar, where certain Googlers quietly gave away a little too much. You can run this on any competitor with enough Chrome traffic. Not every small site returns results, but most established domains will. We use this before every competitive audit: - Validating parity between desktop/mobile experience - Benchmarking Core Web Vitals against the sites we're competing with - Spotting performance gaps before a pitch P.S. I'll link CrUX Vis and a benchmarking tool I built on top of it in the comments. #seonotebook
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The gap between 'Competitor Launches' and 'your team knows about it' should be Minutes, not Days. Here’s how AI-Powered Agents can Automate the entire Competitive Intelligence process, from collecting signals to delivering insights: 𝟏. 𝐏𝐮𝐬𝐡 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐒𝐨𝐮𝐫𝐜𝐞𝐬: Monitor diverse sources like news, press, competitors, and social media for real-time updates. These updates are sent to an event bus (SNS, SQS, Kafka) or a webhook queue. 𝟐. 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐓𝐢𝐞𝐫𝐬: Classify updates based on priority focusing on high-priority sources like pricing, launches, and funding. Medium-priority updates include blogs and case studies, while low-priority updates focus on reviews and trends. 𝟑. 𝐒𝐢𝐠𝐧𝐚𝐥 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐨𝐫 𝐀𝐠𝐞𝐧𝐭: Aggregates, filters, deduplicates, and enriches signals by adding metadata, reducing noise by up to 90%. 𝟒. 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐀𝐠𝐞𝐧𝐭: Retrieves competitor history and contextualizes each signal, categorizing it by urgency, impact, and relevance. This agent looks for patterns in competitor behavior. 𝟓. 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭 𝐀𝐠𝐞𝐧𝐭: Generates draft updates, suggests objection handlers, and creates win/loss matrices. It pulls insights from CRM data and produces content for reports or battle cards. 𝟔. 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐒𝐜𝐨𝐮𝐭 𝐀𝐠𝐞𝐧𝐭: Monitors competitor activities, identifies opportunities, and surfaces vulnerabilities. It matches competitor movements with your sales pipeline to suggest talking points for sales teams. 𝟕. 𝐇𝐮𝐦𝐚𝐧-𝐢𝐧-𝐭𝐡𝐞-𝐋𝐨𝐨𝐩: Provides oversight, ensuring AI-driven insights are validated and approved before use. 𝟖. 𝐌𝐨𝐝𝐞𝐥 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐋𝐚𝐲𝐞𝐫 AI models (like Amazon Bedrock, GPT, and Claude) analyze and enhance the intelligence gathered by agents. 𝟗. 𝐌𝐞𝐦𝐨𝐫𝐲 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Store insights and historical data in systems like Redis, Upstash, and Amazon S3. Use analytics tools like Google Analytics and Mixpanel to measure usage and performance. This is Agnetic AI at its best automating data collection, signal filtering, analysis, and decision-making processes for more efficient competitive tracking. Is your organization ready to move from manual competitive analysis to intelligent automation? ♻️ Repost this to help your network get started ➕ Follow Sandipan for more #AIAgents #AgenticAI #GenAI #BusinessStrategy