A learning journal by Amrit Pal Singh

AI for Performance Marketing

Explore how AI can help with advertising, analytics, creative development, campaign research, landing pages and modern marketing workflows.

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How AI is changing the way performance marketers work

Performance marketing has always been about making decisions from data: clicks, CTR, CPC, conversions, CPL and ROAS. What is changing is how marketers work with that data.

This website explores AI as a practical copilot, not a replacement for marketers. It helps one person research, create and analyse faster, which leaves more time for what AI cannot do: understanding the customer, the business and the funnel, and making the decisions.

  • AI-powered research

    Organise audience, competitor and market research into ideas worth investigating.

  • Google Ads

    Keyword ideas, search intent, ad copy and campaign structure.

  • Meta Ads

    Hooks, primary text, creative concepts and testing plans.

  • Analytics

    GA4, Tag Manager and conversion tracking you can trust.

  • Creative development

    Concepts and variations, turned into real creatives in tools like Canva.

  • Landing pages

    Prototype pages and websites faster, then test them properly.

  • SEO, AEO and GEO

    Be found in search results and understood by AI answers.

Google Ads: from search intent to campaign structure

AI can brainstorm how customers search, group keywords by intent and suggest what to exclude. The final structure and every budget decision still need human judgement.

  • Keyword research
  • Search intent
  • Ad copy
  • Campaign structure
  • Data analysis
  • Optimisation ideas

Meta Ads: more ideas, sharper tests

On Meta, the creative does much of the targeting. AI makes it cheap to explore many angles, so the real work becomes choosing which few deserve budget.

  • Audience research
  • Creative ideas
  • Hooks
  • Primary text
  • Headlines
  • Campaign analysis
  • Optimisation workflows

Analytics and tracking: trust the numbers first

AI can explain reports and suggest what to investigate, but it cannot confirm that a conversion really fired. Measurement has to be verified in the platforms themselves.

  • GA4
  • Google Tag Manager
  • Conversion tracking
  • Campaign reporting
  • Data interpretation

Tools and platforms I explore

AI assistants for research, writing and building, alongside the platforms where campaigns actually run and get measured.

  • ChatGPT logo
  • OpenAI logo
  • Claude logo
  • Gemini logo
  • Perplexity logo
  • DeepSeek logo
  • Microsoft Copilot logo
  • Google Ads
  • Google Analytics
  • Google Tag Manager
  • Google Search Console
  • Meta Ads
  • Canva
  • GitHub
  • Netlify

Logos and names belong to their respective owners and are shown only to identify the tools discussed. None of these companies sponsors, endorses or partners with this website.

Illustrated portrait of Amrit Pal Singh wearing an orange turban and sunglasses

Hi, I'm Amrit Pal Singh

I'm building my career in performance marketing after working in BPO and operations. I enjoy the analytical side of marketing, where decisions can be tested, measured and improved, and I'm documenting how AI fits into that work.

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