Fintastic vs LiftLab

Fintastic is enterprise planning and analysis software built around a connected model of business data and planning assumptions. It links finance, revenue, operations, workforce, marketing, and IT plans. Its AI Agent analyzes the live model, traces figures to their drivers, and uses the planning engine to calculate results. The Agent can create scenarios on a copied version so the baseline remains unchanged; proposed model changes wait for user approval. Permissions can be set by entity and dimension, dataset, view, and version, with cell-level masking for sensitive figures. The Agent inherits the user's permissions. Fintastic names NetSuite, Salesforce, Workday, Snowflake, Google BigQuery, Oracle, OneStream, AWS Redshift, and BambooHR among its connected systems. After an initial load, connectors fetch only changed data. The product is aimed at enterprise planning teams and supports forecasting across reps, territories, products, time horizons, pipeline, capacity, and financial plans. Fintastic says teams typically go live in 12–16 weeks with a practitioner-led team. Pricing is not publicly listed; the company offers a demo and directs prospective customers to contact it.

LiftLab is a marketing measurement platform for assessing brand and performance media spending and informing budget decisions. Its Two-Stage Agile Marketing Mix Model separates advertising auction cost dynamics from consumer response to estimate channel response curves. The Scenario Planner builds Conserve, Maintain, and Accelerate budget scenarios within constraints such as channel caps, CAC ceilings, and committed spend. Geo experiments in the Incrementality Testing Suite feed causal results back into the model for calibration; supported methods also include Stratified Random Sampling, Synthetic Controls, Switchback tests, Strategy experiments, and Go Dark with Pacing. PlatformSense monitors daily performance changes and uses live signals to inform reallocation recommendations. Miles, an AI-powered analyst, answers questions in plain English using LiftLab’s measurement methodology. LiftLab says it connects with more than 50 paid media platforms, plus analytics, CRM, warehouses, and first-party data sources. Starting data requirements are 12 to 24 months of weekly channel spend, one primary outcome KPI, and a promotional calendar. It is designed for enterprise marketers, including teams spending $5 million or more annually on media. Pricing is on request.