Platform overview

One operating layer for paid media visibility, recommendations, and action

Spotz helps teams run Google Ads and Meta Ads with less context switching and clearer execution. Everything is built around trusted reporting, prioritized recommendations, and explicit approvals.

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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

Platform pillars

Designed for operational clarity

Each layer is built to reduce ambiguity and speed up high-quality decisions.

Unified visibility

Campaign performance, trend deltas, and account health in one operator-first workspace.

  • Cross-account filtering and comparison
  • Consistent metric logic across views
  • Data freshness and sync confidence indicators

AI recommendations

Ranked opportunities with context, confidence, and expected impact before any action is taken.

  • Opportunity ranking by business impact
  • Why it was flagged and what to change
  • Validation flow before implementation

Approval-based execution

Implementation plans are explicit, reviewable, and only executed after user confirmation.

  • No autonomous writes
  • Clear change summary before execution
  • History with implemented and undone states

Daily workflow

What day-to-day execution looks like

From first review to approved implementation, Spotz keeps the flow structured and accountable.

Phase 1

Morning pulse

Open one feed for major changes, anomaly warnings, and top opportunities across active accounts.

Phase 2

Prioritized optimization

Review recommendation details, edit where needed, and approve high-confidence actions first.

Phase 3

Execution traceability

Track what was approved, what ran, and how results evolved over time for clean team accountability.

Workflow walkthrough

A deeper look at how the operating loop runs

Product is built to keep recommendations and execution planning tightly connected.

1. Signal capture

Spotz syncs account data so teams start from a current, unified view across active accounts.

2. Analysis + prioritization

The system ranks opportunities and surfaces the highest-leverage action path first.

3. Change review

Operators inspect exact draft changes and validate impact assumptions before execution.

4. Execution traceability

Every approved action is logged so teams can measure outcomes and learn quickly.

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

Explore

Go deeper into assistant workflows, integrations, and pricing

Each surface is designed to connect strategy, execution, and measurement in one system.

AI AssistantIntegrationsPricingMulti-platform reporting page