Lifesight — AI Marketing Measurement & Attribution
Lifesight is an AI-powered marketing measurement platform for e-commerce brands to optimize ROI and budget allocation.
Lifesight is a marketing measurement platform that provides retail and e-commerce brands with a unified view of their campaign performance. The tool is designed for business owners and marketing teams who need to understand the true impact of their spending across online and offline channels. By moving away from restrictive pixel-tracking, Lifesight uses sophisticated methodologies to ensure data accuracy in a privacy-first landscape. The platform integrates Marketing Mix Modeling, incrementality testing, and causal attribution to help users identify which channels actually drive revenue growth. Lifesight allows brands to run automated experiments to find the marginal value of their ads, ensuring that marketing budgets are not wasted on organic conversions. It provides a clear dashboard where teams can monitor performance against business KPIs in real-time. Business owners can use the platform's predictive forecasting features to simulate different budget scenarios for the 2026 fiscal year. This allows for proactive strategy adjustments rather than reactive troubleshooting. By visiting surfai.app, users can compare how this tool stacks up against traditional attribution models. Lifesight helps marketers justify their spending to stakeholders by providing transparent, data-backed ROI reports. The software connects easily with major advertising platforms and internal data warehouses to centralize all marketing intelligence. Lifesight offers a freemium model that allows smaller brands to start measuring performance before upgrading to more advanced predictive features.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Shopify, Google Ads, Meta Ads, Snowflake, BigQuery, Amazon Ads, TikTok Ads |
| Best for | e-commerce-brands, retail-businesses, marketing-agencies, data-analysts |
| Website status checked | 2026-11-03T00:00:33.299+00:00 |
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|---|---|---|---|
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