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Adbrew Intelligence

A
Written by Adbrew Support
Updated over 2 weeks ago

What is Adbrew Intelligence?

Adbrew Intelligence is a suite of AI-powered features that helps you manage Amazon Ads faster and with less manual work.

It helps with:

  • Asking questions about your ad account

  • Running deep analysis

  • Getting insights and recommendations

  • Launching campaigns

  • Creating dashboards

  • Building dayparting strategies

You can access Adbrew Intelligence by clicking on the sparkle icon on the top-right corner of your screen.


Key Components of Adbrew Intelligence

Adbrew Intelligence is organized into three main areas:

  1. Data Query – For quick answers and navigation

  2. Deep Analysis Agent – For investigation, explanations, and recommendations

  3. Action Agents – For taking real actions inside your account

Below is a clear explanation of each one.


1. Data Query

Purpose:

To quickly answer questions about your Amazon Ads account without manually searching through menus or applying filters yourself.

What it can do

  • Navigate to the correct Adbrew page for you

  • Apply filters automatically

  • Adjust date ranges

  • Pull supported charts and metrics

  • Show quick summaries in a pop-up

Typical use cases

“Show campaigns with high spend and low impressions”

“Show my campaign type mix performance for the last 30 days”

"Show me all search terms with more than 50% ACOS sorted by spend"

Why it's useful

Data Query saves time when:

  • You want an at-a-glance answer

  • You don’t want to manually filter data

  • You need a standard chart without setting it up

It’s the fastest way to get simple performance insights.


2. Deep Analysis Agent

Purpose:

To help you understand why something happened in your account.

What it can analyze

This agent looks across multiple data sources simultaneously, such as:

  • Campaign performance

  • Product-level performance

  • Target/keyword data

  • Change history

  • Trends and comparison periods

What problems does it solve

Users often struggle to answer questions like:

  • Why did sales drop?

  • Why did ACOS increase?

  • Which campaigns contributed most to the change?

  • What changed inside a specific campaign?

Traditionally, this required:

  • Downloading multiple reports

  • Checking change logs

  • Comparing time periods

  • Piecing everything together manually

Deep Analysis does all of this automatically.

How it works

Example:

  1. Ask:
    “Why did my sales drop last month compared to the previous period?”

  2. The agent checks all relevant data sources.

  3. It gives a high-level explanation of what happened.

  4. You can then ask follow-up questions like:
    “What changed inside this campaign that led to the drop?”

  5. It then shows granular insights such as:

    • A target showing 85% drop

    • Other specific targets losing sales

    • Recommended actions

Using Context

There is a Context button that lets you restrict analysis to:

  • A specific campaign

  • A set of labels

Note: Please note that you can only set context at the beginning of the chat.


3. Action Agents

Action Agents are tools that don’t just analyze — they take action inside your account.

Currently, there are 3 Action Agents:

  1. Day Parting Agent

  2. Campaign Launcher

  3. Dashboard Agent


3.1 Dayparting Agent

What it does

Helps you:

  • Analyze hourly performance to identify hourly performance trends in your campaign

  • Create bid, budget, or placement-based day-parting strategies

How it works

Example workflow:

  1. Ask:
    “Analyze my hourly performance from the last 60 days and identify my highest-performing hours.”

  2. The agent analyzes Amazon Marketing Stream data.

  3. It shows insights such as:

    • Hours with best ROAS

    • Hours with highest sales

  4. Then ask:
    “Use these insights to create a day-parting strategy.”

  5. You can choose from:

    • Bid-based day parting

    • Placement label day parting

    • Budget label day parting

  6. View the preview → Click Create to finalize the strategy.


3.2 Campaign Launcher Agent

What it does

Lets you launch campaigns directly through chat—no need to create a strategy manually.

How it works

Example:

  1. Ask:
    “Launch auto campaigns segmented by product for these two ASINs.”

  2. It will:

    • Confirm campaign count

    • Analyze account data

    • Calculate initial bids, budgets, and target ACOS

    • Build the full structure automatically

When to use it

  • Bulk campaign launches

  • Fast campaign setup

  • Automatically generated structures

  • Avoiding spreadsheets or manual steps


3.3 Dashboard Agent

What it does

Helps you:

  • Create new dashboards

  • Update existing dashboards

  • Add supported widgets

  • Add summaries or text blocks

How it works

Example:
“Create an executive summary dashboard for last month.”

The agent will:

  1. Suggest widgets

  2. Ask if you want a text summary

  3. Build the dashboard instantly


How These Agents Work Together

Together, the three agents help you cover your entire advertising workflow. Adbrew Intelligence reduces a multi-step workflow into a conversational experience.

Task

Traditional Way

With Adbrew Intelligence

Check performance

Navigate multiple pages

Ask one question

Investigate issues

Download reports

Use the Deep Analysis Agent

Adjust bids by hour

Manual sheet work

Day Parting Agent

Launch campaigns

Build strategies & templates

Describe what you need

Create dashboards

Add widgets manually

Dashboard Agent

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