Data and Analysis · Service 6 of 8

Dashboards describe. They do not explain.

  • Attribution
  • Reporting
  • Decision support

Answers, not charts

Come Monday you owe someone an answer about what moved the number, and the dashboard shrugs. Our analytics agent catches the shift the day it happens and drafts the why. Aibo pressure-tests it before you see it.

Get answers, not charts

The Problem

The industry solved data collection and called it a day. Most marketing teams now own more dashboards than they can name, and yet the Monday question, what actually moved the number, still gets answered with a guess delivered confidently.

The gap is explanation. A dashboard can show you that CAC rose 18 percent. It cannot tell you that the rise came from one campaign, in one geo, after a competitor entered the auction on Tuesday. That second sentence is the one you can act on, and producing it takes analysis, which takes time nobody has.

How It Runs

Volume from the system. Judgment from a partner.

AI handles

  • Monitoring every channel daily and surfacing anomalies the day they happen
  • Tracing a change to its source: channel, campaign, segment, and day
  • Drafting the first explanation and keeping attribution models current

Aibo handles

  • Pressure-testing every explanation before it reaches you
  • Separating a useful signal from a confident wrong answer
  • Ending the weekly brief with a recommendation, not a screenshot

What You Get

The work that keeps compounding.

Primary lift

  • you stop guessing which half of the budget is wasted.

What You Get Each Month

  • Daily monitoring across every channel, with anomalies surfaced same-day.
  • Attribution modeling that credits the touchpoints doing the actual work.
  • A weekly brief that ends in a recommendation, not a screenshot.
  • One number you can repeat in the Monday meeting and defend when questioned.

Process

From first signal to useful output.

  1. Connect

    Bring the channels, campaigns, segments, and revenue signals into one decision view.

  2. Watch

    Learn what normal looks like and surface anomalies the day they happen.

  3. Explain

    Trace each shift to its source and draft the sentence after the chart.

  4. Recommend

    Aibo pressure-tests the why and gives you a decision you can defend.

The system behind the service.

AI workflow

The analytics agent reads your channels daily and knows what normal looks like for each metric. When something breaks pattern, it drafts a first explanation by tracing the change to its source.

Aibo review

Aibo pressure-tests every explanation before it reaches you. The failure mode of automated analysis is a confident wrong answer, and a confident wrong answer can steer a real budget in the wrong direction.

Questions about Data and Analysis

We already have dashboards. What do you add?

The sentence after the chart. Your dashboards say what happened. We say why, and what to do, and put a name on it. If your current setup already does that, genuinely, you do not need us.

Where does the data live?

In your accounts, connected through the analytics platforms and APIs you already use. We do not warehouse your data on our side, and everything we build in your stack stays yours.

Can you fix our attribution?

Usually we can make it honest, which is different from perfect. Attribution is partly unknowable and anyone selling certainty is selling something else. We write down the model's assumptions so you know exactly what you are trusting.

Ready when you are

Bring us the part of your marketing that should work harder.

Bring one unexplained number. The CAC spike, the channel that died in April, the campaign that works and should not. We will trace it on the call. That is the product, demonstrated live.

Get answers, not charts