Fospha
Fospha reads ads daily for retail brands. BlueAlpha proves what drives revenue across your whole business and moves budget where it works.
What’s the difference between BlueAlpha and
Fospha
?
Fospha is a measurement system for retail and ecommerce brands, built on a daily, ad-level MMM. BlueAlpha runs a weekly causal MMM calibrated by incrementality tests, extends past media with custom business models, and executes the budget changes you approve in your stack. Pick Fospha for daily ad-level reads in retail commerce. Pick BlueAlpha for causal planning and execution across the business.
Fospha reads daily at ad level. BlueAlpha calibrates a weekly causal model with tests.
Both forecast. BlueAlpha adds pricing, promo, LTV and churn.
BlueAlpha executes approved moves in your stack.
Fospha suits retail ecommerce teams. BlueAlpha suits any team defending spend to Finance.
Should you choose
BlueAlpha or
Fospha
?
Both are serious measurement tools. They're built for different jobs, so the right pick depends on the decision you need to make every week.
Choose if
Fospha
if
You're a retail or ecommerce brand that wants ad-level reads every day.
Your team optimizes inside Meta and TikTok and wants guidance at ad level.
Commerce-specific reporting matters more than custom business models.
Choose BlueAlpha if
You sell beyond ecommerce, or your revenue depends on subscriptions, retail or sales teams.
You want incrementality tests to calibrate the model, not just inform it.
You want approved budget moves executed for you.
You need custom models for pricing, promotion, LTV or churn.
BlueAlpha vs
Fospha
feature comparison
Included
Not Included/Documented
Partial
Section | Capability | BlueAlpha | Competitor | Competitor Status |
|---|---|---|---|---|
Measurement | Causal marketing mix model | Causal MMM retrained weekly, backtested and forecast-scored | Daily, ad-level MMM | yes |
Incrementality and geo testing | Causal incrementality tests designed in the platform | Incrementality support; confirm scope | partial | |
Test results update one model | Each completed test updates the model | Not publicly documented | no | |
How often the read updates | Weekly, across every channel | Daily | yes | |
Published model accuracy | 92.6% weekly backtesting accuracy | Not publicly documented | no | |
Planning | Forecasting and scenario planning | Forecast any proposed move before you make it | Budget forecasting tools | yes |
Pricing, promo, LTV and churn models | Custom decision models on your data | Not offered | no | |
Action | Executes approved budget changes in your stack | Approved changes pushed to your ad platforms | Not publicly documented | no |
AI agents with guardrails you set | Agents monitor, recommend, execute and automate within your limits | Not publicly documented | no | |
Data in Claude and other assistants (MCP) | BlueAlpha MCP with Google, Meta, LinkedIn, TikTok and MMM plugins | Not publicly documented | no | |
Data and Delivery | One definition per business metric | Semantic layer shared by every model and agent | Ecommerce metric set | partial |
Hands-on expert team | Forward-deployed team works inside your stack | Customer success support | partial | |
Pricing | Custom, by quote | Custom, by quote |
Speed to Decision
Is BlueAlpha or Fospha better for budget planning?
Fospha is strongest for daily optimization inside retail ad platforms. BlueAlpha plans the whole budget from a causal model that tests keep honest, forecasts each move, and carries out what you approve.
What to ask any vendor: how many of your channels get a fresh causal read each week, and how many days pass between that read and the budget actually changing?
Run it like a portfolio
What does rebalancing on marginal return look like?
Every channel saturates. Set a monthly mix, then rebalance: the same budget moves until each channel’s next dollar returns about the same.
Illustrative response curves, not customer data. Figures are modeled monthly incremental revenue for a $500K budget. BlueAlpha fits these curves on your own data and retrains them weekly.
Prove it. Then move it.
“Most measurement stops at media. BlueAlpha has helped us build a clearer understanding of media effectiveness and efficiency across channels, then translate those insights into actionable budget decisions. They don’t just hand us a report, they work alongside our team.”
Joshua Egan, VP of Growth Marketing, Wonder
45%
Increase in monthly order volume at Wonder within five months of engagement.
$0
Measured incremental lift from a channel whose dashboard reported 2–16x ROAS at Cann. About $480K a year moved to channels that worked.
Switching
How do you move from Fospha to BlueAlpha?
We connect the same ad and commerce sources, add the business data that drives revenue, and compare backtests before you switch.
Week 1–2
Forward deploy
Our team connects your marketing, sales and product data and agrees one definition for revenue, conversions and CAC.
Week 3–6
Diagnose
We build your causal model, backtest it weekly and bring in results from past lift tests, including Measured readouts.
Week 6 onward
Build
You get a forecasted budget plan, and agents carry out the changes you approve in the platforms you already use.
BlueAlpha vs
Fospha
What is the difference between BlueAlpha and Fospha?
Fospha is a measurement system for retail and ecommerce brands, built on a daily, ad-level MMM. BlueAlpha runs a weekly causal MMM calibrated by incrementality tests, extends past media with custom business models, and executes the budget changes you approve in your stack. Pick Fospha for daily ad-level reads in retail commerce. Pick BlueAlpha for causal planning and execution across the business.
Is BlueAlpha or Fospha better for budget planning?
Fospha is strongest for daily optimization inside retail ad platforms. BlueAlpha plans the whole budget from a causal model that tests keep honest, forecasts each move, and carries out what you approve.
Can I use BlueAlpha and Fospha together?
Yes. Some teams keep Fospha for the job it does best and use BlueAlpha to plan the whole budget and execute approved changes. We connect the same ad and commerce sources, add the business data that drives revenue, and compare backtests before you switch.
How long does it take to switch from Fospha to BlueAlpha?
BlueAlpha works in three stages: Forward Deploy, Diagnose and Build. Timing depends on how many data sources you connect; your team sees the first causal read during diagnosis, before any budget moves.
Does BlueAlpha replace incrementality testing?
No. BlueAlpha runs causal incrementality tests and uses each result to calibrate the marketing mix model, so tests sharpen the model where it is least certain.
How much does BlueAlpha cost compared with Fospha?
BlueAlpha is priced by scope, by quote. Fospha's current pricing: custom, by quote. Ask both for a quote based on the same channels and data sources.
Who is Fospha best for?
Fospha fits retail and ecommerce brands that want daily, ad-level MMM reads for platforms like Meta and TikTok.
How accurate is BlueAlpha's model?
BlueAlpha reports 92.6% weekly backtesting accuracy. The model retrains weekly and is scored against what actually happened, and you can review backtests on your own data before acting on a recommendation.
Ask AI
Bring one quarter of spend data. We’ll show you which channels are driving incremental revenue and where the next dollar should go.
