Chat with the data in your ad accounts
Ask in plain language. Campanior answers with your account’s real numbers and, where it applies, prepares the action that follows.
The problem
A generic chatbot knows what ROAS means. It does not know your October campaign dropped because a creative burned out, or how much your client’s account is spending right now.
Here the conversation runs on the data in your connected accounts. The answer starts from numbers that exist, not from general advertising knowledge.
How it works
Pick the account
The conversation binds to a specific account so numbers never mix between clients.
Ask in plain language
Which campaign is wasting budget, why cost went up, what changed last week.
Answer with evidence
The answer cites the numbers it relies on, so you can check them.
Move to action
Where a change is implied, it moves into the change plan and follows the normal validation path.
Why the answers rest on evidence
The model does not guess numbers. Before it answers, it receives the account’s real picture.
| The account profile | Goals, constraints, industry and audience, as you defined them |
| The current structure | Which campaigns, ad sets and creatives exist right now |
| The performance | The numbers for the period you are asking about |
| The conversation history | What has already been answered for that account |
What it includes
Multiple providers
The right model per task, with consistent output.
Per platform
Separate context for Meta, Google Ads and TikTok.
Chat history
Conversations stay bound to the account for later reference.
Straight to action
A suggestion becomes a change plan without copying into another tool.
Frequently asked questions
How is this different from asking a general AI?
Can it make changes on its own?
Does it answer in Greek?
Ask something about your account
Connect one account and ask which campaign is wasting budget right now.