Campaign management involves a constant flow of decisions. Teams review performance, adjust bids, compare creatives, check traffic sources, work with tracking, and react to changes in key metrics.
Kadam has introduced KAI, a built-in AI cat-agent designed to make these tasks easier to handle through text and voice requests.
KAI works directly within the Kadam interface. Users can ask for campaign data, review settings, investigate performance issues, manage account actions, or get help with optimization. The assistant turns everyday platform tasks into a simple conversation while keeping all campaign decisions in the user’s hands.
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KAI is the latest addition to Kadam’s AI infrastructure.
The company previously released an MCP server that connects external AI agents to the platform’s capabilities. Through compatible AI tools, users can work with campaigns, creatives, statistics, sources, and other account features.
KAI brings the same approach into the Kadam interface. Users can work with an AI assistant directly within the platform, without setting up an external connection.
KAI is built into the Kadam interface as a widget and understands both written and voice requests.
Users can describe a task in their own words instead of searching for a specific report, parameter, or section. Depending on the request, KAI can retrieve data, check campaign settings, explain possible causes of a problem, or help prepare the next action.
For example:
KAI supports a broad range of scenarios, including campaign setup, analytics, diagnostics, source management, tracking, API requests, bids, creatives, optimization, and more.
KAI is currently available to Kadam advertisers, from users preparing their first campaign to teams managing high traffic volumes across multiple markets.
New users can ask questions about ad formats, targeting, campaign structure, and required settings. This gives them a clearer way to understand the platform while working on a real campaign.
Experienced media buyers can use KAI to review data, investigate performance changes, manage sources, adjust bids, and reduce the number of manual checks involved in day-to-day campaign operations.
Publisher access will open later on this week.
KAI can assist with campaign creation and configuration. Users can specify an ad format, GEO, budget, payment model, and other parameters through a request.
When required information is missing, the assistant can ask for additional details and help complete the setup.
This makes it easier to move through campaign creation while keeping the process clear and structured.
KAI helps users work with creative materials within the account.
It can assist with checking creative parameters, updating statuses, reviewing performance, and preparing assets for active campaigns.
Users can also ask the assistant to compare creatives by selected metrics and identify which variations are producing stronger results.
Campaign statistics can be requested directly from KAI.
The assistant can provide spend, impressions, clicks, conversions, CPA, CTR, and other available metrics for a selected time period.
Users can also request a breakdown by campaign, GEO, ad format, traffic source, or creative. This makes it easier to focus on the exact part of performance that needs attention.
Campaign delivery may be affected by bids, targeting, moderation, limits, or other settings.
KAI can help review these parameters and explain which factors may be restricting traffic. A user can describe the issue, and the assistant will help narrow down the possible cause.
The same approach applies to performance changes. KAI can help investigate rising CPA, declining CTR, lower conversion volume, or unexpected changes in spend.
Source-level data is central to campaign optimization.
KAI can help users find sources that generated spend without conversions, compare results between traffic segments, and identify where performance requires attention.
Based on the available data, the assistant can recommend reviewing bids, disabling inefficient sources, changing targeting parameters, or updating auto rules.
Bid adjustments and auto rules often require regular attention as campaign performance changes.
KAI can help users review bid levels across GEOs, devices, browsers, or sources and identify where an adjustment may be useful.
It can also assist with checking existing auto rules and preparing changes based on campaign goals and current results.
KAI helps users keep track of active campaign performance.
The assistant can highlight changes in CPA, CTR, conversion volume, or spending patterns and point users toward campaigns that may need attention.
This helps teams organize regular account checks and focus on the areas that have changed most.
KAI can help organize data from creative tests and compare results across key metrics.
Users can ask which creatives performed best, which combinations delivered stronger conversion rates, or which variations may be suitable for scaling.
This gives performance teams a clearer view of test results without reviewing every creative separately.
KAI also works with technical campaign management scenarios.
Users can ask for help configuring postback with a tracker, understanding required parameters, or preparing API requests for statistics.
For teams building reporting, attribution, or internal automation workflows, KAI can make these tasks easier to approach directly from the platform.
KAI can respond to questions about account settings, campaign features, platform tools, and available functionality.
Users can ask for guidance while working inside Kadam and continue with the task without searching through multiple sections of the interface.
KAI is now live in Kadam. Users can start working with the assistant directly through the platform interface.
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