The product

One workflow. Six focused workspaces.

AdFlow separates daily operations, investigation, recommendations, experiments, and execution so each stage has a clear job—without dropping the campaign context between them.

Open product demo

Start from demo data or connect one Meta ad account in the local release.

Monitor the account

Investigate the evidence

Review the next action

Six distinct campaign workspaces arranged around one shared campaign context.

Workspace map

Each workspace answers a different question.

The navigation follows the work from the live account state to a documented result.

Campaigns

Daily account checks, hierarchy views, budgets, saved views, and change history.

Analytics

KPI summaries, period comparisons, trends, groups, breakdowns, and exports.

Campaign Analyst

Snapshot-based analysis, campaign findings, evidence, and follow-up questions.

Recommendations

Editable proposals with metrics, guardrails, risks, assumptions, and compatibility checks.

Experiments

Hypotheses, fixed cells, measurement plans, lifecycle states, and conclusions.

Execution Plans

Exact diffs, approval, guardrails, retries, rollback plans, and verification.

Operate

What needs attention in the account today?

Move across Campaign, Ad Set, Ad, and Draft views. Save the account checks you repeat, compare performance with targets, and inspect recent changes before editing delivery.

Delivery and issue filters
Metric presets and custom columns
Saved operational views
Performance targets and protected entities
Bulk actions with confirmation
Change history and CSV export

Demo account checkCampaign level

01Delivery statusVisible in context

02Spend and resultsVisible in context

03Target comparisonVisible in context

04Protected statusVisible in context

05Latest changeVisible in context

Investigate

Why did performance move?

Analytics carries the selected campaigns and reporting period into Campaign Analyst, so the investigation starts with a defined scope instead of a blank prompt.

Campaign scope → Snapshot → Finding → Recommendation → Experiment → Execution Plan

Campaign data layers connected to a traceable analytical result.

The result keeps the campaign, date range, metric, source snapshot, and limitation together.

View Campaign Intelligence

Decide, test, control

What should be proposed, learned, and changed?

A recommendation describes the idea. An experiment defines the learning plan. An Execution Plan holds the Meta account change.

Recommendation

Candidate action, evidence, risk, metric, and guardrail.

Experiment

Hypothesis, cells, measurement gates, runtime, and stop rule.

Execution Plan

Current value, proposed value, approval, execution, and verification.