Unify all your marketing data In one workbook with Hibi

Most marketing teams live inside a growing pile of tabs. Platform dashboards for spend. Sheets for reporting. A BI tool for a different team. A separate doc for competitor tracking. And a ChatGPT thread on the side to make sense of it all.

Hibi exists so you can replace that mess with a single, programmable, AI workbook that both your team and your agents can work from.

This use case walks through how to unify all your marketing data on worksheets with Hibi: not just campaign data, attribution data, and internal data, but also the market signals around it.

The problem: performance here, context somewhere else

Today your data is split along three lines:

• Performance data: campaigns, ad sets, keywords, creatives, spend, outcomes across platforms.

• Attribution data: what actually converted, from analytics, MMPs, or in-app events.

• Market signals: competitor ads and landing pages, social content, keyword trends, influencers, reviews.

Platform dashboards are optimized for spending more inside their walls, not for answering cross-platform questions or mixing performance with external context. You can see what happened, but not easily why, and almost never in a form that is ready for automation.

How you can solve this within Hibi

Hibi gives you a workbook that feels like a spreadsheet but behaves like an application surface.

• Each tab is a governed table: Campaigns, Ads, SearchTerms, CompetitorAds, LandingPages, Influencers, SocialPosts.

• Columns have clear, standardized definitions across platforms and sources.

• You can filter, pivot, and join like a power user, but more importantly, your agents can read, enrich, and act on the same structure.

• You can also perform AI enrichments on top of this data, such as adding formula, web search, or summaries.

Humans see something familiar. Agents see a stable schema they can query, monitor, and write back into.

What you can build in this workbook

In practice, a unified Hibi workbook lets you support use cases like:

• Daily performance review across platforms
  One table for campaign and ad performance across Meta, Google, TikTok, LinkedIn and more, with consistent naming and standardized metrics. Sort by objective, country, or platform in a single view, instead of logging into multiple dashboards.

  
  

• Root cause analysis that includes context
  Instead of only asking “which ad sets are down”, you can answer “which campaigns dropped in a region and what changed in creative, competition, or channel mix around that time”. Join performance tables with CompetitorAds, LandingPages, or SocialPosts to see external moves next to your own data.

  
  

• Creative iteration driven by what actually works
  Build a view of your top-performing creatives with fields like format, hook, CTA, placement, audience, and landing page. Connect this to our agent that suggests next variants, new angles, or localized versions based on what the workbook shows is working.

  
  

• Market intelligence as a live table, not a screenshot folder
  Keep a continuously updating workbook of competitor ads, landing pages, and key social content, tied back to categories, brands, and themes. Use it as input for creative reviews, positioning discussions, and campaign planning.

  
  

• A single place to power alerts and workflows
  Alerts, scheduled reports, and agents all read from the same workbook instead of from custom one-off scripts. When the workbook is correct, everything built on top is simpler and safer.

What AI agents can build in this workbook

Because the workbook is structured and consistent, it is an ideal surface for agents:

• An analysis agent scans your performance tabs, compares against saved baselines, and answers performance-related questions directly from the data.

• A creative agent reads your top-performing assets and produces new ideas, copy, or variations, logging each suggestion with references to the source rows it used.

• A market-intel agent keeps your competitor and signal tabs current and flags notable patterns to Slack or email.

You bring your own prompts, rules, and brand context into each agent so it reflects how your team thinks, not how a generic tool works.

Why this matters

Once your marketing data and signals are unified in a workbook:

• You have a single place to look when you ask “what happened and why”.

• You get a clean foundation for automation, instead of fragile point integrations.

• You can treat your marketing stack more like a composable system, where you plug new agents and workflows into an existing, trusted data layer.

Hibi’s role is to help you move from scattered dashboards and ad hoc spreadsheets to a single, programmable workbook that your whole team and your agents can build on.