Core product surface

AI Assistant built for operators, not chatbot demos

The Spotz AI Assistant summarizes performance, flags issues, ranks opportunities, and prepares implementation plans that teams can validate and approve.

AI recommendations

Ranked by impact

Tighten budget pacing in Campaign A

High
Confidence 0.86Awaiting approval

Adjust bid cap for Ad Set C

Medium
Confidence 0.78Validated

Pause low-intent search terms

Medium
Confidence 0.74New

Approval flow

Confirmation required

1. Proposed changes

2 campaign budget edits, 1 audience refinement

2. Validation checks

Spend guardrails and account constraints verified

3. Final confirmation

Review exact diff before live execution

Capabilities

Designed to support daily optimization cycles

The assistant works as an operational layer that turns data into clear next actions.

Performance summaries

Understand what changed, where it changed, and why it matters across active accounts.

Optimization recommendations

Review ranked opportunities with expected effect and confidence before any action is taken.

Warnings and anomalies

Catch overspend risk, low-conversion drops, and setup issues without waiting for weekly reporting.

Implementation planning

See exact proposed changes and approve implementation with a final confirmation checkpoint.

What you can do

From insight to validated action

The assistant gives operators structured context before implementation.

  • Generate weekly and monthly campaign summaries
  • Review prioritized recommendations with expected effect
  • Inspect warnings for pacing, conversion, and setup gaps
  • Open exact draft changes before live execution

Control

How implementation stays safe

Spotz keeps execution intentional and auditable.

  • Every external write requires explicit confirmation
  • Final review shows exact proposed changes
  • Unsupported actions are clearly marked instead of implied
  • History captures implemented, failed, and undone states

Execution orientation

Assistant output is designed to be executable

Recommendations are contextualized for review and then translated into explicit change plans.

  • Each recommendation includes impact, confidence, and rationale.
  • Validation checks run before the final execution step.
  • External writes still require explicit user confirmation.

Operator dashboard

Live view

Spend

€42,390

+4.8% vs prior period

Conversions

1,243

+7.1% vs prior period

CPA

€34.10

-3.2% vs prior period

ROAS

3.8x

+0.3 vs prior period

Next step

See how the assistant fits your team workflow

Explore integrations and reporting surfaces connected to the same recommendation engine.