Fospha has built a real reputation as a full-funnel measurement platform. It runs a daily media mix model that pulls impression and spend data across your channels (and across marketplaces like Amazon and TikTok Shop), then tells you where the incremental revenue is actually coming from. That marketplace coverage is genuinely useful if you sell in more than one place. The catch is price and posture. Published plans start around $1,500 a month for the entry tier and climb from there, with the higher tiers oriented toward brands spending seven figures on media. It is a sales-led, onboarding-heavy product built for teams that have outgrown last-click.
Most of the operators I talk to go looking for a Fospha alternative for one of two reasons. Either the price and the enterprise sales motion are more than a sub-$5M brand wants to take on, or they want something they can stand up themselves without a multi-week onboarding and a dedicated CSM. MMM is powerful, but it is also a heavy answer to a question a lot of smaller brands have not earned yet. Here are five tools worth comparing before you sign anything.
Recast
Recast is the closest thing to a pure-play modern MMM. It is Bayesian, it is rigorous, and it is built for brands that want statistical defensibility they can put in front of a finance team. It is also priced and scoped for brands doing real volume, so it sits in the same enterprise neighborhood as Fospha rather than undercutting it. If your reason for leaving Fospha is that you want better modeling, Recast is the move. If your reason is that you want cheaper, it is not.
Northbeam
Northbeam blends multi-touch attribution with media-mix-style modeling, which makes it a more familiar on-ramp for performance marketers who think in terms of campaigns and creatives rather than saturation curves. It gives you click-level granularity alongside a modeled view. The tradeoff is that you are leaning on the click data more than a pure MMM would, which matters more the more your demand comes from channels that do not click well.
ThoughtMetric
If the honest reason you are shopping is that full-funnel MMM is overkill for where you are, this is the category to look at. ThoughtMetric is pixel-based multi-touch attribution with post-purchase surveys layered on top, and it runs about $99 a month for fifty thousand pageviews with every feature included rather than tiered. You are not getting a media mix model. You are getting a clean, independent read on which channels drove the sale, which for a lot of brands under a few million in revenue is the thing they actually needed. (Quick disclosure: ThoughtMetric is a tool I use and have a commercial relationship with, so weigh my take accordingly.) I would not pitch it as a Fospha replacement for a brand that genuinely needs incrementality modeling. I would pitch it as the right-sized answer for a brand that thought it needed Fospha and does not yet.
Measured
Measured is built around experiments. Its whole pitch is incrementality testing, running structured holdouts to tell you what a channel is really contributing versus what it would have earned anyway. That is a different and arguably more honest question than how to split credit, and if your spend is large enough to run clean tests, it is worth the look. It is also enterprise-priced and enterprise-paced.
Haus
Haus also lives in the incrementality world, with a strong emphasis on geo experiments. You hold out regions, you measure the lift, you get a causal answer instead of a modeled one. For brands trying to settle real budget arguments (is brand search incremental, is this channel pulling its weight), a geo test from Haus often beats another dashboard. The flip side is that experiments take time and discipline, and they answer specific questions rather than giving you an always-on view.
Picking between these
- If you want rigorous always-on modeling and have the budget, compare Fospha against Recast directly. Those are the two serious MMM answers here.
- If you think in campaigns and creatives, Northbeam will feel more natural than a pure MMM.
- If you want to settle a specific question about whether a channel is working, run a geo test with Haus or a holdout with Measured before you buy another platform.
- If you are honestly not sure you need any of this yet, start with ThoughtMetric for the attribution read and add modeling later.
The uncomfortable truth is that most brands searching for a Fospha alternative do not have a measurement problem that a media mix model solves. They have a numbers-do-not-agree-and-I-do-not-know-which-to-trust problem, and that usually gets solved with cleaner attribution plus one or two real incrementality tests a year. MMM earns its keep when you are spending enough that a few points of misallocation is real money and you have the data volume to model it well. If that is you, Fospha and Recast are both legitimate. If it is not you yet, the cheaper tools on this list will get you most of the clarity for a fraction of the cost and the commitment.
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