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About support.google.com (Tech Companies)
This page provides details about support.google.com (Tech Companies) which was ranked #2 out of 118 in the list of sources (4 citations (13% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 1 question: "What are the proven best practices and strategies experts use for AI Tools for Marketers?" on Oct 24, 2025 by AI Chat Watch.
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Pages from support.google.com (1 link)
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| /google-ads/answer/9831769 | 4 | 1 |
Citations from AI Responses
OpenAI ChatGPT Latest
(4 citations)
What are the proven best practices and strategies experts use for AI Tools for Marketers?
[...] ear business objectives and prioritized use-cases - Tie AI projects to measurable KPIs (pipeline, CAC/LTV, conversion, time-to-market), not generic “AI adoption.” Use phased pilots with control groups to prove lift and ROI before scaling. - See experimentation guidance: Google Ads Experiments (A/B) [https://support.google.com/google-ads/answer/9831769](https://support.google.com/google-ads/answer/9831769) - Marketing mix modeling and incrementality methods to quantify impact: Google’s LightweightMMM [https://github.com/google/lightweight_mmm](https://github.com/google/lightweight_mmm), Meta’s Robyn [https://github.com/facebookexperimental/Robyn](https://github.com/facebookexperimental/Robyn), Meta [...]
[...] nt](https://developers.google.com/search/docs/fundamentals/creating-helpful-content) - Performance ads (search/social/display) - Rapidly iterate ad copy/creative variants; run structured experiments; apply audience insights to prompts. - Platform experimentation and lift: Google Ads Experiments [https://support.google.com/google-ads/answer/9831769](https://support.google.com/google-ads/answer/9831769), Meta Conversion Lift [https://www.facebook.com/business/help/1158188519646723?id=445653312788501](https://www.facebook.com/business/help/1158188519646723?id=445653312788501) - Email and CRM personalization - AI for subject lines, copy variants, and send‑time optimization; ensure consented data [...]
[...] .com/hc/en-us/articles/6155057143833-Zendesk-AI-overview), Drift [https://www.drift.com](https://www.drift.com) 6) Make measurement part of the workflow, not an afterthought - Always-on experimentation: pre-register hypotheses, power calculations, holdouts, and variant caps. Google Ads Experiments [https://support.google.com/google-ads/answer/9831769](https://support.google.com/google-ads/answer/9831769), Optimizely [https://www.optimizely.com](https://www.optimizely.com), VWO [https://vwo.com](https://vwo.com) - MMM for budget allocation; multi-touch attribution carefully used with bias awareness. LightweightMMM [https://github.com/google/lightweight_mmm](https://github.com/google/lightweight_mmm [...]
[...] tals/ai-generated-content](https://developers.google.com/search/docs/fundamentals/ai-generated-content) - PPC: Generate 10–20 ad copy/asset variants aligned to personas → run split tests in Google Ads Experiments → scale winners → measure incrementality with holdouts/MMM. - Google Ads Experiments [https://support.google.com/google-ads/answer/9831769](https://support.google.com/google-ads/answer/9831769), LightweightMMM [https://github.com/google/lightweight_mmm](https://github.com/google/lightweight_mmm) - Email/CRM: Use AI to create segment-specific versions and subject lines → safety-check claims and compliance → test send times and variants → route insights back to prompts. - HubSpot [https: [...]