Alembic is a Causal AI platform built to help enterprise brands measure what marketing actually drives revenue. If you’re trying to understand how Alembic works, how it compares to traditional marketing mix modeling (MMM), or whether it’s the right fit for your team, you’ll find the answers below. To speak with someone directly, request a demo or contact our team.
Alembic is a Causal AI Platform that tells enterprise brands which marketing investments are actually creating revenue growth. Unlike traditional measurement tools that rely on correlation, Alembic uses Causal AI to prove causal relationships between your media spend, market conditions, and business outcomes. The Causal AI Platform continuously recomputes causal models across billions of signals spanning media exposure, pricing, macroeconomic forces, consumer behavior, and operational inputs. Backed by $145 million in funding and used by Fortune 500 companies, Alembic is built for organizations that need more than a dashboard.
Alembic proves causation rather than estimating correlation. Traditional MMM requires months of data collection and produces static, backward looking reports. Multi touch attribution cannot see across walled gardens like Meta and Google. Alembic’s Causal AI model updates continuously, letting teams simulate budget shifts in real time and see projected revenue impact before moving spend. Read our case studies.
Causal AI identifies the actual drivers of an outcome rather than variables that happen to move together. In marketing, correlation based tools can show that TV spend and sales both increased, but cannot confirm that TV drove the sales increase. Alembic’s Causal AI Platform establishes mathematical proof of those relationships.
For enterprise brands managing large, complex media budgets, the difference between correlation and causation is the difference between confident investment decisions and expensive guesswork.
Alembic ingests data across your media channels, pricing, macroeconomic signals, competitive activity, and operational inputs, then builds a continuously updating causal graph that shows which variables are driving your business outcomes. Rather than running a quarterly model, Alembic updates in real time so your team always has a current picture of marketing’s impact. You can simulate budget reallocation scenarios and see the projected revenue effect before committing spend.
Traditional MMM takes weeks or months to build, produces static outputs, and requires costly data science teams to interpret and rerun. Alembic delivers the core value of MMM, along with multi touch attribution and incrementality measurement, in a single, real time platform. Results update continuously rather than in batch cycles, so marketing and finance teams work from the same live data instead of a model that was accurate three months ago. Learn more about how Alembic approaches measurement.
Incrementality testing measures how much of your sales or conversions would have happened anyway without a specific marketing investment. Traditional incrementality approaches require geo holdout experiments that take weeks to design and run, and temporarily pull spend from real markets. Alembic measures incrementality continuously using causal inference, so you get ongoing lift measurement without the cost or delay of planned experiments. This makes it practical to measure incrementality across channels, not just for occasional validation tests.
Alembic is built for enterprise brands with significant media budgets and complex marketing ecosystems. Current customers include Fortune 500 companies across B2B technology, consumer goods, financial services, travel, and retail. The platform is designed for organizations where the cost of a wrong budget decision is measured in millions.
Results vary based on your current measurement maturity and media mix, but Alembic customers consistently report improved confidence in budget allocation decisions and faster response to market changes. Documented outcomes include a 37 percent pipeline expansion for one Fortune 500 B2B technology firm and measurable lift attribution for a major airline’s sponsorship program. The clearest impact tends to come within the first quarter of deployment, when teams can, for the first time, see which channels are genuinely incremental versus those that are capturing spend they would have gotten anyway.
Alembic can complement or replace existing measurement infrastructure, depending on your setup. Many customers start by running Alembic alongside a current MMM provider to validate findings before transitioning fully. Others bring in Alembic specifically because they’re frustrated with the lag and static nature of their existing models. The platform ingests data from a wide range of sources, so integration with your current media and data stack is typically straightforward. Your dedicated Alembic team will work through your specific setup during onboarding.
The first step is a discovery call with Alembic’s team to evaluate your current measurement setup, data sources, and business objectives. From there, Alembic scopes an onboarding plan tailored to your stack and timeline. Most enterprise deployments are operational within a standard onboarding window, with your causal models running before the end of your first quarter. To start the conversation, request a demo at alembic.com or reach out to your account contact directly.
Alembic is priced based on the scope of your deployment, including the number of markets, data sources, and measurement use cases. Pricing is structured as an annual enterprise license. Contact the team to discuss your specific needs and receive a proposal tailored to your use case.