See Which Ads Drive In-Store Sales

Lifesight helps Retail & CPG teams unify identities, prove what truly drives sales (online & in‑store), and allocate budgets across retail media, trade, and brand with confidence.

See Which Ads Drive In‑Store Sales

Why Retail & CPG teams choose Lifesight

Growth is hard-prove what’s incremental.

Brands cite declining channel efficiency and rising CAC as top challenges, while 90% rank incrementality testing among their most trusted measurement methods. Lifesight anchors decisions in causal lift-so you scale what actually moves revenue.

Hybrid measurement that finance trusts.

Replace “one number” attribution with a Suite‑of‑Truth: experiments for ground truth, MMM for cross‑channel scope, and calibrated attribution for speed – built around incrementality.

Win omnichannel, not just DTC.

With Amazon/Walmart capturing outsized ecommerce growth, you need clear read‑through across marketplaces, retail media networks, and .com – without starving upper‑funnel.

Outcomes you can expect

10-30% media efficiency

By shifting spend toward incrementally positive channels, campaigns, SKUs, and audiences.

Balanced funnel mix

(Brand + performance) that resists the lower‑funnel death spiral and sustains penetration & margin.

Board‑ready confidence

Via MESI (Model Experiment Simulate Implement) workflows that align marketing & finance.

Unlock Retail Growth with Unified Measurement

Unified Data Model, Designed for Retail

Ingest data across paid media, marketplaces, loyalty/CRM, and in‑store POS; break down by retailer dimensions for accurate ROAS and incrementality.

Unified Data Model, Designed for Retail
Robust Incrementality Measurement That Captures Offline Impact

Robust Incrementality Measurement That Captures Offline Impact

Run geo‑tests to quantify true causal impact of Retail Media, Search, Paid Social, CTV, and Promotion-then auto‑calibrate MMM/attribution.

Causal MMM That Understands Retail Factors

Fast, privacy‑robust MMM estimates cross‑channel lift (TV/CTV, Social, Retail Media, Search, OOH), price/promo effects, seasonality, distribution & competitor pressure-calibrated with experiments for accuracy.

Causal MMM That Understands Retail Factors
Granular Cross channel Optimization That Drives Results - Lifesight

Granular, Cross-channel Optimization That Drives Results

In‑platform incrementality signals to adjust bids, budgets, creatives, and audiences-preventing over‑investment in retargeting/brand search and under‑funding demand creation.

Understand Halo-Effects Across Channels

Connect Amazon Ads, Walmart Connect, Target Roundel, Instacart, Kroger Precision, etc., to causal outcomes-tie media to retailer baskets, and avoid double‑counting with .com.

Understand Halo-Effects Across Channels

Ready to Go Retail Playbooks

Ready to Go Retail Playbooks

Optimize Retail Media Mix

Identify which retail networks, ad types, and shopper segments actually drive incremental baskets; cap retargeting; reinvest in discovery & seasonal pushes.

Quantify how brand GRPs + promo depth interact; avoid over‑discounting by proving long‑term value of reach & creative quality on price elasticity.

Size addressable headroom by category entry points; model spend per point of trial; run geo bursts to validate media/retail partners before national roll‑out.

Use holdouts to prove reach‑driven incrementality in low‑click environments; scale creative that shifts awareness/consideration, not just CTR.

See how marketplace media lifts .com and retail sell‑through; protect brand terms while preventing cannibalization.

How it works

Connect

Plug in ad platforms, retail media, marketplaces, analytics, POS, CRM and SKUs.

Model

Stand up MMM with price/promo, seasonality, distribution & competitive context; set baseline budget rules.

Experiment

Plan geo-tests; quickly run designs; perform power analysis to ensure detectable lift; log hypotheses & decision rules.

Simulate

Simulate scenarios; shift budgets; push incremental bidding & frequency to platforms; monitor iROAS, marginal returns, and business KPIs

Frequently Asked Questions

Dashboards show correlated or modeled conversions. Lifesight quantifies incremental lift using experiments and calibrates other methods so you can redeploy spend with confidence.

No. We begin with high‑impact lift tests on priority channels/retailers, then stand up MMM for cross‑channel allocation and calibrate it with those results.

We use rolling‑thunder geo designs and power analysis to get decision‑quality results fast, then stream incremental signals back into platforms for day‑to‑day optimization.

Yes. We ingest POS/receipt data, model price/promo depth, and separate media vs. trade effects-so you fund promotions that truly add volume.

By prioritizing holdouts and geo‑RCTs, penalizing non‑incremental branded search/retargeting in models, and calibrating attribution to causal results.