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Service · Marketing & analytics

Marketing and analytics automation with AI

Google Analytics 4, Google Ads, Meta, Tag Manager, Search Console and social media in one place. Your team asks an AI assistant in plain language, and it pulls from the accounts, calculates, compares and prepares the report. Where it's safe, it also makes changes.

Who it's for

  • Marketing teams in SMEs running campaigns across several channels.
  • Agencies and teams handling several brands or clients.
  • Owners who want to know what happens to the budget without logging into five dashboards.

What we can connect

  • Google Analytics 4: reports, realtime data, funnels, conversions, custom dimensions.
  • Google Ads: campaigns, ad groups, ads, keywords, search terms, negative keywords, budgets and bidding strategies, Performance Max, audience lists, change history, locations and devices, ad schedule, impression share, landing pages, conversion actions.
  • Meta: campaigns, ad sets, ads, Facebook Page insights, Instagram, posts.
  • Google Tag Manager: container review, new and edited tags, triggers and variables, versions, rollbacks.
  • Google Search Console: the queries your site appears for in Google.
  • NapoleonCat: social media profile metrics.

The scope depends on your accounts and needs.

Full example: AI Marketing Cockpit

Typical use cases

  • A monthly report for the board or a client, built from several sources in one format.
  • A morning check: what changed in campaigns and traffic since yesterday.
  • Finding waste: search terms and landing pages that spend budget without converting.
  • Change control: who changed what in the ad account this week.
  • Tidy tagging: a GTM container review, a new tag and a version ready for review, with rollback.
  • Social media: profile reach and engagement compared with the previous period.

How it works

  1. Accounts and questions. We list the accounts, permissions and the questions your team asks most often.

  2. Connection. Each account separately, with the minimum permissions needed.

  3. Testing on real data. We check the assistant's answers against the dashboards before the team relies on them.

  4. Training. How to ask, how to verify key numbers and when not to trust an answer.

  5. Ongoing care. New accounts, new brands, changes in platform interfaces.

Honest about AI

AI calculates and summarises fast, but it can be wrong. That's why we teach the team to check key numbers at the source, and Tag Manager changes go into a version you can review and roll back.

What we don't do

We don't take over running your campaigns unless you want us to. We don't change budgets or bids without your decision.

Questions

Does this replace Looker Studio?

Not necessarily. A dashboard shows what was planned in advance. The assistant also answers questions nobody anticipated. Many companies use both.

There are off-the-shelf tools that connect AI to marketing data. Why a rollout?

An off-the-shelf tool gives access to data. A rollout fits it to your accounts and brands, adds versioned Tag Manager changes, sets permissions for your team and trains people to check the answers.

Do we need a paid AI account?

Yes, you need an AI assistant that supports connections to external tools. We help you pick a plan and set it up in line with your company's data policy.