Recast
Recast gives analysts a transparent Bayesian model. BlueAlpha turns a causal model into a weekly plan and carries out the moves you approve.
What’s the difference between BlueAlpha and
Recast
?
Recast is a Bayesian causal MMM with GeoLift testing and openly published methodology, built for analytically mature teams. BlueAlpha also runs a weekly causal MMM calibrated by tests, and adds agents that execute approved budget changes in your stack, custom business models, and a forward-deployed team. Pick Recast if your analysts want to own the model. Pick BlueAlpha if you want the model wired to the decision and the change.
Both run causal MMM calibrated with lift tests.
Both forecast. BlueAlpha also models pricing, promo, LTV and churn.
BlueAlpha executes approved moves. Recast hands plans to your team.
Recast suits in-house data science teams. BlueAlpha suits teams that want the work done in their stack.
Should you choose
BlueAlpha or
Recast
?
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
Recast
if
Your in-house data scientists want to inspect and steer a Bayesian model directly.
Published methodology and live accuracy dashboards are your top buying criteria.
You plan and activate budget changes yourselves.
Choose BlueAlpha if
Your executives need a plan and a forecast, not a model to interpret.
You want approved moves pushed to ad platforms instead of handed to channel owners.
You want pricing, promotion, LTV or churn models on the same data.
You want a team deployed into your stack to build it with you.
BlueAlpha vs
Recast
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 | Bayesian causal MMM | yes |
Incrementality and geo testing | Causal incrementality tests designed in the platform | GeoLift testing | yes | |
Test results update one model | Each completed test updates the model | Lift tests feed the model | yes | |
How often the read updates | Weekly, across every channel | Regular refreshes with accuracy tracking | yes | |
Published model accuracy | 92.6% weekly backtesting accuracy | Live accuracy dashboards published | yes | |
Planning | Forecasting and scenario planning | Forecast any proposed move before you make it | Forecasting and planning 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 | Plans exported; your team activates | 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 | Not publicly documented | no |
Hands-on expert team | Forward-deployed team works inside your stack | Customer success and analyst support | partial | |
Pricing | Custom, by quote | Custom, by quote |
Speed to Decision
Is BlueAlpha or Recast better for budget planning?
Both produce forecasts from a causal model. The difference is what happens next: Recast gives your analysts the tools to build the plan, while BlueAlpha builds it with you and its agents carry out the approved changes in each platform.
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 Recast to BlueAlpha?
Your historical spend, outcomes and lift tests carry over. We rebuild the model on your metric definitions and compare its backtests against your current Recast model 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
Recast
What is the difference between BlueAlpha and Recast?
Recast is a Bayesian causal MMM with GeoLift testing and openly published methodology, built for analytically mature teams. BlueAlpha also runs a weekly causal MMM calibrated by tests, and adds agents that execute approved budget changes in your stack, custom business models, and a forward-deployed team. Pick Recast if your analysts want to own the model. Pick BlueAlpha if you want the model wired to the decision and the change.
Is BlueAlpha or Recast better for budget planning?
Both produce forecasts from a causal model. The difference is what happens next: Recast gives your analysts the tools to build the plan, while BlueAlpha builds it with you and its agents carry out the approved changes in each platform.
Can I use BlueAlpha and Recast together?
Yes. Some teams keep Recast for the job it does best and use BlueAlpha to plan the whole budget and execute approved changes. Your historical spend, outcomes and lift tests carry over. We rebuild the model on your metric definitions and compare its backtests against your current Recast model before you switch.
How long does it take to switch from Recast 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 Recast?
BlueAlpha is priced by scope, by quote. Recast's current pricing: custom, by quote. Ask both for a quote based on the same channels and data sources.
Who is Recast best for?
Recast fits mid-market and enterprise teams with in-house analysts who want a transparent Bayesian MMM they can inspect and steer.
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.
