Ads Monitor

What do we need before we launch it?

Essential

• Accounts and campaigns included.
• Objective and role of each campaign.
• Dictionary of Metrics and Conversions.
• Limits, periods of comparison and exceptions.
• Minimal history of changes.
• Responsible for validating alerts and authorizing actions.
• Access and modification policy.

Highly recommended

• Business data or CRM to contrast the platform.
• Commercial calendar, promotions and seasonality.
• Consistent Name Conventions.
• Documented attribution model.
• Register of creatives, landing pages and tests.

How we implant it

1. We audit sources, definitions and permissions.
2. We build the dictionary of metrics and the rules of comparison.
3. We design alerts by priority and responsible person.
4. Let's do a pilot in read mode, no actions on campaigns.
5. False positive calibre, data latency and limit cases.
6. We form the team to interpret and close alerts.
7. Only then is it worth automating very delimited and reversible actions.

Human supervision and boundaries

The agent can

• Read authorized data.
• Detect changes, inconsistencies and absences.
• Prioritize alerts.
• Prepare hypotheses and follow up checks.
• Create reports or tracking tasks.

Agent can't

• Give a confirmed hypothesis.
• Move budget or alter a campaign outside explicit rules.
• Create or exclude sensitive audiences.
• Ignore business data because the platform shows a different reading.
• Present a correlation as causality.

Stop and scale when

Sources disagree, data is missing, anomalous spending is detected, there are changes of consent or tracking, an action can affect a relevant budget or behavior out of the proven cases.

Sources and possible connections

Advertising platforms, web analytics, CRM, e-commerce, control sheets, tagging systems and tools from reporting. It can feed the Dashboard Builder and the Karmina Review Agent, and receive context from the Market Scout or the commercial calendar.

How do we measure if it adds value?

• Time to detect an incident.
• Percentage of useful alerts relative to false positives.
• Manual review time saved.
• Tracking incidents identified prior to reporting.
• Documented and verified decisions later.
• Reducing reactive changes without evidence.
• Quality and understanding of reporting.

For whom does it make sense?

It can fit if

• Several campaigns or platforms are managed.
• Monitoring depends on repetitive manual reviews.
• Incidents are identified late.
• There are common discrepancies between advertising, analytics and business.
• The team wants context alerts, not more notifications.

It’s not the first step yet.

• There is no reliable minimum tracking.
• Conversions do not have a shared definition.
• No one records the campaign changes.
• There is no person responsible for paid media decisions.

Knowledge Foundation and adoption

The base includes goals, metrics, formulas, campaigns, conventions, seasonality, history, responsibilities and limits of action. Without this layer, the agent could only describe numbers.

The onboarding focuses on understanding the alerts, documenting the context, avoiding excessive trust and turning human correction into an improvement of the rules.

Frequently Asked Questions

Optimise campaigns automatically?

It can propose actions and, in very limited cases, execute approved rules. The initial implementation is for reading and recommendation.

Can it replace the dashboard?

Not necessarily. dashboard displays; Ads Monitor monitors, compares, and activates questions. The two systems can be supplemented.

How do you manage seasonality?

With comparable periods, commercial calendar and documented exceptions. A single threshold for the whole year tends to generate poor alerts.

Can you work with multiple platforms?

Yes, if the data can be obtained and the definitions have been normalized. It does not assume that “conversion” means the same everywhere.

Do you need permission to edit?

Not for the first pilot. You can start with reading access and results in an internal channel.

How much does it cost and how long does it take?

It depends on the number of platforms, accounts, metrics, rules and integrations. It is sized with a diagnosis and a pilot on a representative set.

Closure and conversion

What would you like to see the next time?

Tell us what platforms you review, what indicators matter, and what surprises appear too late. We will design a first system of alerts that the team can understand and govern.

Direct contact hello@karmina.ai