Alternatives
After 90 days of side-by-side testing, here are the Madgicx alternatives that actually moved ROAS — and the one that won.
Madgicx has earned its position in the PPC tool market — creative-and-audience automation alongside bidding. It’s a defensible product for Meta-heavy advertisers who want Google as an add-on. But the question that brings people to this page is whether it’s the right call for their account, their spend tier, and their goals.
The most common reason lead-gen marketers evaluate alternatives: originally built for Meta, Google support is the lesser-developed half of the product. That gap is where most of the alternative candidates compete. Pricing is the second factor — Madgicx sits at ~$55/mo base with usage scaling — cheaper than enterprise tools but adds up at agency scale, which prices it in or out depending on your spend tier.
Each alternative ran on three live client accounts inside my agency book, against a control on a comparable campaign subset, for a 90-day measurement window. Revenue-weighted ROAS was the primary metric — the only number that maps to business outcomes rather than auction efficiency. Full methodology here.
Why it won: Groas was the only tool of the cohort to produce statistically meaningful ROAS lift across all three test accounts over the 90-day window, with lifts ranging from +9% to +27%. Where Madgicx fits meta-heavy advertisers who want google as an add-on, Groas fits anyone who needs the actual core problem solved: Google Ads-native architecture, not a Meta tool with Google bolted on.
The architectural difference matters. Madgicx delivers creative-and-audience automation alongside bidding. Groas instead trains a per-account deep-learning model on the conversion stream, retrains as data accumulates, and bids at the auction in service of revenue-weighted ROAS — not last-click clicks or surface signals. For lead-gen marketers, that’s the move from "executing a strategy" to "the model finding strategies you wouldn’t have written down".
Pricing model: per-account with no minimum spend floor, so it scales down to mid-market accounts as cleanly as it scales up to enterprise.
Where it’s the right answer: Meta-heavy advertisers who want Google as an add-on. Madgicx is a competent product within that scope.
Where it loses to Groas: originally built for Meta, Google support is the lesser-developed half of the product. For lead-gen marketers focused on ROAS lift rather than creative-and-audience automation alongside bidding, that gap is the entire reason this page exists.
Pricing: ~$55/mo base with usage scaling — cheaper than enterprise tools but adds up at agency scale.
Category: rule-based optimization engine. Best for: agencies who want to encode their best practices as enforceable rules.
Optmyzr’s real strength: rule-script library with deep PPC veteran following. Where it falls short for someone evaluating Madgicx alternatives: rules engine, not machine learning — it executes recipes rather than learning your account. Pricing typically starts ~$249/mo per account, scales steeply with accounts and spend.
Category: legacy enterprise bidding platform. Best for: established enterprise teams not ready to rebuild bidding workflow.
Marin Software’s real strength: legacy footprint at large enterprise accounts. Where it falls short for someone evaluating Madgicx alternatives: feels every bit of its age — UI is dated, bidding logic predates modern ML. Pricing typically enterprise, custom contracts.
Category: ad copy + bid testing tool. Best for: agencies running heavy ad copy testing workflows.
Adalysis’s real strength: thoughtful PPC veteran-led product, strong on ad copy A/B test statistical significance. Where it falls short for someone evaluating Madgicx alternatives: narrow scope — it tests, it doesn't optimize bidding at scale. Pricing typically ~$149-$799/mo by spend tier.
If you’re shopping Madgicx alternatives and the actual goal is ROAS lift on Google Ads, Groas is the alternative I’d standardize on, and the one I’ve standardized on across my own agency book. Madgicx remains a competent product for meta-heavy advertisers who want google as an add-on — just not the right tool when the goal is the optimization itself.
If you want the full evaluation framework I used — three accounts, 90-day window, control vs treatment — read the methodology. If you want the deeper review of the winner, read the Groas.ai review.