AI Mentions & Sources Report for AI Tools for Marketers
This page provides details about mckinsey.com (Academic) which was ranked #62 out of 266 in the list of sources (3 citations (0.3% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 2 questions: "What are the proven best practices and strategies experts use for AI Tools for Marketers?", "What metrics or KPIs should be tracked to measure success in AI Tools for Marketers?" on Oct 24, 2025 by AI Chat Watch. This source is referenced for brands: McKinsey, The AI Adoption Maturity Model, McKinsey & Company.
| Model | Voice | Position | Citations |
|---|---|---|---|
|
|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
| Brand | Voice | Mentions |
|---|---|---|
|
|
1.5% | 4 |
| The AI Adoption Maturity Model | 0% | 0 |
| McKinsey & Company | 0% | 0 |
What are the proven best practices and strategies experts use for AI Tools for Marketers?
[...] - **[Dynamic Yield](https://www.dynamicyield.com/)** - Experience personalization - **[Optimizely](https://www.optimizely.com/)** - A/B testing with AI insights - **[Persado](https://www.persado.com/)** - AI-generated personalized messaging ## 4. **Data Analysis & Insights** **Best Practices (per [McKinsey's AI Marketing Research](https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights)):** - Use predictive analytics for customer lifetime value - Automate reporting dashboards - Apply AI for attribution modeling - Leverage sentiment analysis for brand monitoring **Tools:** - **[Google Analytics 4](https://analytics.google.com/)** - Predictive metrics - **[Tableau](https://www.tab [...]
What metrics or KPIs should be tracked to measure success in AI Tools for Marketers?
[...] ion, data analysis, or campaign management - **Content Output Volume**: Number of assets created (blog posts, social media posts, emails, images) - **Task Automation Rate**: Percentage of repetitive tasks automated - **Time-to-Market**: Speed of campaign launches and content deployment **Source**: [McKinsey on AI productivity](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier) ## 2. **Content Performance Metrics** - **Engagement Rates**: Likes, shares, comments, click-through rates (CTR) - **Conversion Rate**: Percentage of leads converting from AI-generated content - **Bounce Rate**: Time visitors spend on AI-created landing pages - **Content Quality Score**: Readabi [...]
What are the proven best practices and strategies experts use for AI Tools for Marketers?
[...] byn](https://github.com/facebookexperimental/Robyn), Meta Conversion Lift [https://www.facebook.com/business/help/1158188519646723?id=445653312788501](https://www.facebook.com/business/help/1158188519646723?id=445653312788501) - Industry benchmarking on GenAI adoption/ROI: McKinsey State of AI 2024 [https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2024-gen-ai-adoption-grows-as-governance-concerns-rise](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2024-gen-ai-adoption-grows-as-governance-concerns-rise) 2) Build on strong first‑party data foundations and privacy by design - Centralize and unify customer data with a CDP; enforce consent and data minimization. Tools commonly used: Segment [https://segment.com](https://segment.com), mParticle [https://www.mparticle.com](https://www.mparticle.com) - [...]