Madgicx

Madgicx is AI ad optimization for Meta and Google. The platform watches your campaigns and recommends, or auto-applies, bid changes, budget reallocations, audience pivots, and creative pauses to push performance up.

Think of the AI as a junior media buyer rather than a creative tool. It doesn't generate ads. It tunes the campaigns you already have, surfacing the issues you'd otherwise miss when you're watching dozens of ad sets at once: this ad set is winning but starved, this creative has fatigue, this audience overlaps another. Every recommendation comes with the reasoning behind it instead of an opaque AI call.

For ecommerce and DTC brands spending five-to-six figures monthly on ads, the compound effect of better tuning matters. A few percent lift in ROAS, sustained across months, turns into real revenue.

The platform covers the everyday work of an in-house media buyer:

• Bid changes based on ad set performance
• Budget reallocations from underperforming campaigns to winners
• Audience pivots when existing audiences saturate
• Creative pause recommendations when fatigue patterns emerge
• Issue surfacing with explanations attached

There's also an attribution layer that pieces together cross-platform performance, Meta plus Google plus on-site behavior, more honestly than platform-reported numbers alone. That helps brands whose platform numbers diverge from what the sales data actually shows.

Common workflows by role:

• DTC marketing leads use it as an always-on second pair of eyes on accounts
• Agencies manage client Meta and Google accounts at scale
• In-house media buyers offload routine optimization to focus on strategy
• Ecommerce ops monitor performance across multiple ad accounts

A few specifics worth knowing:

• The attribution layer reconciles Meta, Google, and on-site data
• Auto-apply settings let the AI execute, not just recommend
• The dashboard centralizes campaign health across platforms
• Pricing scales by monthly ad spend managed, not by seat count

Where Madgicx fits best:

• E-commerce and DTC brands spending meaningfully on Meta and Google
• Agencies running multiple client accounts where consistent optimization matters
• Operations where compound improvements over months translate to real revenue
• Teams whose ad spend is high enough to justify dedicated optimization tooling

The recommendations cover most everyday optimization patterns:

• Winners getting starved by budget allocation
• Fatigued creatives still running in active sets
• Audience overlap creating internal competition
• Bid strategies misaligned with performance goals

On a low-spend account the optimization headroom is smaller than the cost of the platform, so Madgicx ends up over-built. The math works once ad spend is high enough that a few percent lift covers the subscription and then some.

Paid subscription with tiers scaling by monthly ad spend managed and number of ad accounts connected.

Best for e-commerce and DTC brands spending five-to-six figures monthly on Meta and Google where compound optimizations matter. Not ideal for low-spend accounts where the platform's optimization headroom is smaller than the platform's cost.