For Data & Analytics

Turn fragmented data into a trusted growth engine.

Unify events, commerce, and media data to measure incrementality, ship answers faster, and give Marketing and Finance a “suite of truth” they trust.

See Lifesight in action. Take an interactive tour

Turn fragmented data into a trusted growth engine.
New Balance - Lifesight
Subway - Lifesight
Dyson - Lifesight
Costa Coffee - Lifesight
Ray Ban - Lifesight
KFC - Lifesight
San Miguel - Lifesight
Decathlon - Lifesight
Sunglass hut - Lifesight
Krispy Kreme - Lifesight
Goodr - Lifesight
Shopback - Lifesight
Seidensticker
Segugio - Lifesight
Mavriq - Lifesight
Hedley Bennett - Lifesight
Euromaster 1 - Lifesight
Nurture Life
Much Better Adventures - Lifesight
British American Tobacco
KTM - Lifesight
Mango 1 - Lifesight
Mango - Lifesight
Spendless - Lifesight
Ponos - Lifesight
Pretty Fit - Lifesight
Eu yan Sang - Lifesight
Grohe - Lifesight
Guardian - Lifesight
Castrol - Lifesight
Harvey Beef - Lifesight
Sealy - Lifesight
OsborneHomes - Lifesight
IKEA - Lifesight
Scorewarrior - Lifesight
Bath Body Works - Lifesight
BetterBrand - Lifesight
- Lifesight

Why Data & Analytics Teams Choose Lifesight

One source of truth

Centralize sales and ad spend while preserving model freedom (experiments + MMM + calibrated in‑platform).

Decision-ready outputs, not just pipes

Lift, iROAS, marginal ROI, and LTV by cohort-QA’d and documented.

Privacy-first by design

Server-side capture, governance, and clean-room interoperability.

Lower total cost of ownership

Prebuilt schemas, adapters, and templates to reduce engineering lift.

Outcomes You Can Expect

Outcomes You Can Expect

Unified, governed metrics

(lift, iROAS, LTV, CAC, marginal ROI) used across Finance, Growth, and Media.

Experiment velocity

(launch, read, and roll learnings bi‑weekly).

Budget reallocation to winners

(typ. 10–25% spend shift drives measurable efficiency).

Time‑to‑insight

(from weeks to days for standard reads).

How Lifesight Works for Data & Analytics

Seamless Data Integrations

  • Commerce connectors (Shopify/BigCommerce/Custom), ads & cost ingestion (Meta, Google, TikTok, CTV, Retail Media), and offline/POS ingests.

  • Semantic layer defines shared metrics, time windows, and attribution policies.

Seamless Data Integrations
Built-in Unified Measurement Stack

Built-in Unified Measurement Stack

  • Fast & easy geo-testing: Power‑checked designs, Rolling‑Thunder scheduling, bias controls, and auto-reads.

  • MMM you can trust: Rapid, weekly-refresh models calibrated with experiment results; marginal ROI & saturation curves.

  • Incremental Attribution: In‑platform reporting adjusted via multipliers from lift/MMM; tactical feedback without bias.

Decision Apps

  • Planner: Shift, simulate, and approve budgets by channel/country/offer with confidence bands.

  • Optimizer: Get campaign optimization recommendations that you can deploy seamlessly across multiple ad platforms.

Decision Apps

Security, Privacy & Governance

PII minimization & consent-aware

ingestion with configurable retention.

SOC 2–aligned controls

role‑based access, audit trails.

Clean‑room ready

For publisher/retailer collaborations without raw data exchange.

Model governance

Versioned experiments/MMMs, reproducible reads, review checkpoints.

Frequently asked questions

Lifesight ingests from your sources, unifies identities, and models event‑level behavior into decision‑ready tables (customers, orders, channels, cohorts). We can work with your warehouse or a managed environment and expose data back via SQL/API.

Deterministic keys are prioritized; probabilistic signals are applied transparently with confidence scores. We enforce schema checks, lineage, and monitoring (freshness, completeness, anomalies) with alerting and backfill workflows.

Role‑based access, field‑level controls, consent flags, and audit logs are standard. PII is minimized, hashed where appropriate, and only used for allowed purposes; joins and exports respect consent and regional requirements.

You can tune lookback windows, holdout logic, cohort definitions, and business rules. We support custom transformations, offline file drops (S3/SFTP), and direct SQL for advanced teams.

Yes. Critical signals (conversions, product events) stream for activation and bidding; consolidation and modeling run on reliable batch cadences for accuracy. SLAs and latency targets are documented per pipeline.

Use our APIs, connectors, or reverse ETL to pipe unified metrics into your BI (Looker, Power BI, Tableau) and push audiences/conversions to ad platforms and ESPs. One data layer powers reporting, experimentation, and activation consistently.