Consultad vs. Madgicx: Which Ad Management Tool Is Better for Agencies?

Madgicx has been one of the prominent names in Meta Ads optimization for several years. It's built a user base around automated rules, audience insights, and creative analytics. Consultad is a newer platform built around a different premise: that managing ads should work more like having a conversation with an expert, not configuring a rules engine.

This comparison is written by Consultad. We'll flag that upfront - you should read it with appropriate skepticism. What we've tried to do is give an honest account of what each tool does well and where each falls short, including where Madgicx has genuine advantages.

The fundamental design difference

Madgicx is built around automation rules and AI-assisted insights that work on top of Meta's infrastructure. You configure rules (if ROAS drops below X, reduce budget by Y%), you use their audience insights to find new targeting options, and you review their creative analytics to understand which ad elements are performing.

Consultad is built around a chat-first interface. Instead of configuring rules, you describe what you want: "analyze performance across all campaigns this week and tell me where we should shift budget." Instead of reviewing a dashboard and then taking action separately, you review and approve actions in the same conversation.

Feature comparison

Platform coverage

Madgicx: Primarily Meta Ads. Has expanded to include Google Ads with more limited feature depth. TikTok coverage is limited.

Consultad: Meta Ads, Google Ads, and TikTok Ads with consistent feature depth across all three platforms. The unified dashboard shows cross-platform performance, and the AI chat can take actions on all three simultaneously.

If you're running significant spend on TikTok or need deep cross-platform management, this is a meaningful difference.

Automation approach

Madgicx: Rule-based automation with AI-assisted rule suggestions. You configure the logic; the system executes it. This gives you precise control and predictability - the system does exactly what you told it to.

Consultad: AI recommendation with human approval. The system analyzes performance and suggests specific actions; you approve or reject them. You're not configuring rules - you're reviewing recommendations.

The practical difference: rule-based automation works well when you know in advance what you want to do (standard budget management, standard pausing rules). AI-recommended actions work better when the situation is novel or complex - the AI sees patterns you haven't built a rule for yet.

Reporting

Madgicx: Built-in reporting with customizable dashboards. Strong on creative analytics - understanding which creative elements (colors, formats, copy themes) correlate with performance.

Consultad: Automated scheduled reports with AI-written summaries, delivered to clients on a schedule. Less creative analytics depth; stronger on automated delivery and multi-client management.

If creative performance analysis is a core part of your workflow, Madgicx's creative analytics are genuinely good. If client report delivery and time savings are the priority, Consultad's automated reporting is stronger.

Multi-client management

Madgicx: Account structure supports multiple clients. The interface is built around the ad account level, which means frequent switching between accounts when managing multiple clients.

Consultad: Organization → client workspaces structure. Each client workspace is isolated. Switching context is faster; there's less risk of looking at the wrong client's data.

For agencies managing 10+ clients, workspace isolation and fast context switching matter. Consultad's structure handles this more cleanly.

AI interface

Madgicx: AI features are integrated into a traditional dashboard interface. You navigate to an AI insight, read it, then take action separately.

Consultad: Everything happens in chat. You ask a question, get an answer, and if action is needed, you approve it in the same conversation. No navigation, no tab switching.

This is the biggest qualitative difference and the hardest to capture in a feature list. If you've used it for a week, you either find the chat interface genuinely faster or you miss having the dashboard navigation. Most users who've come from rule-based tools prefer the dashboard initially and switch to chat preference after 2–3 weeks.

Pricing

Madgicx: Monthly subscription pricing, typically in the range of $49–$399/month depending on plan. Fixed fee regardless of managed spend volume.

Consultad: Usage-based - percentage of managed ad spend (minimum 149 PLN/month on Standard). Scales with your business: lower cost when managing smaller budgets, proportional as accounts grow. No contract on Standard plan, cancel any day.

Where Madgicx is the better choice

• You primarily run Meta Ads. Madgicx's depth in Meta is strong, and if your business is 90%+ Meta, the platform coverage difference doesn't matter.
• You want rule-based automation. If you have specific, recurring scenarios you want automated with precise logic, Madgicx's rules engine gives you more control than Consultad's recommendation model.
• Creative analytics are core to your work. Madgicx's creative analysis is better developed. If understanding which ad creative elements correlate with performance is a key part of your process, Madgicx has more depth here.
• You have a large team that needs detailed workflow tools. Madgicx has more mature team collaboration features.

Where Consultad is the better choice

• You manage Meta, Google, and TikTok simultaneously. Cross-platform management is Consultad's core design premise. The unified dashboard and cross-platform AI chat are the main value propositions.
• Time on routine tasks is your biggest cost. If performance monitoring, reporting, and routine optimizations are eating your week, Consultad's design specifically targets those workflows.
• You manage multiple clients. The workspace isolation, multi-client dashboard, and automated client reporting are built for agency scale.
• You prefer deciding over configuring. If you'd rather review AI-generated recommendations than configure automation rules, Consultad's workflow suits you better.
• You want usage-based pricing. For growing agencies, paying as a percentage of managed spend aligns costs with revenue.

The honest bottom line

Madgicx is a mature, well-built tool with strong Meta Ads feature depth and a loyal user base. If Meta-only or Meta-primary is your reality and creative analytics matter to your workflow, it's a solid choice.

Consultad is built for a different use case: multi-platform management, AI-native workflow, automated reporting, and agency-scale client management. If those are the problems you're solving, it's the better fit.

Neither tool is categorically better. They're optimized for different things.

Frequently asked questions

Can I migrate from Madgicx to Consultad without disrupting active campaigns? Yes. Connecting your accounts to Consultad is read-and-write via OAuth - it doesn't affect active campaigns. You can run both platforms simultaneously during evaluation. Consultad doesn't modify anything until you explicitly approve a recommended action.

Does Consultad have the same creative analytics as Madgicx? Not currently at the same depth. Consultad's focus is cross-platform management and AI-assisted optimization. Creative analytics (element-level performance attribution) is a feature area where Madgicx has more development history.

Is the Consultad chat interface hard to learn? Most users reach fluency within a few sessions. The learning curve is understanding what kinds of questions and requests get useful responses - not technical setup. The platform guides you with suggested prompts when you're starting out.

What happens to my Madgicx automation rules if I switch? You'd need to recreate the logic as either Consultad AI prompts or standard Ads Manager automation rules. There's no direct migration path. We'd recommend documenting your current rules before switching so nothing is accidentally lost.