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A GTM Leader's Guide to Stealing Deals from Competitors - India To share strategies and automations for stealing deals from competitors. Key Takeaways Traditional channels are failing: Cold email deliverability is dead, and paid ads are too expensive for direct conversion. This forces a shift to signal-based competitive intelligence. Automate "catch-all" intel: Use tools like NRev to scrape LinkedIn, Reddit, and forums for competitor mentions, then use AI to analyze sentiment and suggest comments. Build a future pipeline: Track competitor customers and prospects with long contracts. Set automated alerts for key signals (funding, new hires) to time outreach for their renewal cycle. Focus on pipeline quality, not lead volume: Measure success by pipeline generated, not MQLs. Use Google Ads for discovery and brand visibility, not just direct conversion. The New Reality: Channels Are Failing Cold Email: Deliverability is dead due to aggressive spam filters (Gmail, Microsoft) and tools like Mixmax. Even sending to warm leads results in burned domains. Paid Ads (Google Ads): Cost per MQL has risen sharply. AI tools (ChatGPT, Gemini) enable buyers to compare products before clicking ads, reducing direct conversions. Strategy: Use ads for discovery and brand visibility, not just direct conversion. Run small, exact-match campaigns on high-intent keywords. Analyze search terms to find new competitors and contextual search patterns. Schedule ads to run only when the target audience is active. The Solution: Signal-Based Competitive Intelligence Why it's essential: In a "red ocean" market, you must be present when buyers are actively researching. Core Principle: Don't "fly blind." Rely on signals and data, not spray-and-pray tactics. Define Your Competitors: Focus on companies with a similar product, target audience, and market. Example: A US-focused company should only track US-focused competitors, as their messaging and sales cycles will be relevant. Find Lookalike Accounts: A simple, effective tactic is to analyze competitor customer logos and find similar companies in your target market. This provides a high-quality list for personalized outreach. Workflow Demo: Automating Competitive Intel Goal: Achieve "catch-all" intelligence by systematically scraping the web for competitor mentions. Workflow Components (NRev): 1. Scrape Mentions: Use Google Search operators to find mentions on specific platforms (e.g., site:linkedin.com/posts "competitor name"). 2. Analyze with AI: Use an "Ask AI" node to analyze post content for: Sentiment (positive, negative) Author details (title, company) Other tools mentioned in the conversation 3. Prioritize & Act: Use AI to bucket posts based on strategic criteria (e.g., complex tool stacks, which NRev aims to simplify). LinkedIn: Manually comment or use an automated "Comment on a LinkedIn post" action. Reddit: Manually comment to maintain authenticity. Q&A Highlights Enterprise Sales & Long Contracts: Rebuttal: Not everyone is locked in. Find those who aren't. Future Pipeline: Track companies with long contracts. Set alerts for key signals (funding, new hires) to time outreach for their renewal cycle. Google Ads Attribution: Direct conversions are down, but first-touch attribution is still valuable. Strategy: Track conversions where Google Ads was the first touchpoint. Define attribution rules (e.g., a 4-6 week window) with stakeholders upfront. Essential Marketing Tools: SEO Tool: Ahrefs or SEMrush are non-negotiable for competitive analysis. Design Tool: Use Canva Pro or Adobe Express to create assets without hiring a full-time designer early on.