Lifesight is a marketing measurements platform powered by a CDP, designed to help drive sustainable growth in the privacy-first era. The Lifesight suite of solutions helps businesses on their quest for sustainable growth while safeguarding the privacy of their valued customers.

Their offerings include-

1. Multi-Touch Attribution - MTA is a marketing analytics approach that analyzes customer journeys, providing a nuanced view of how multiple touchpoints influence conversions.

View Channel Performance - Offers a high-level summary of marketing performance for quick decision making
Attribution & Channel Breakdown Reports - Comparisons of different models & understand how credit is assigned at various touchpoint in the journey
View Customer Journeys - Identifies gaps & improvement opportunities in the customer journey with detailed views into the path.
New vs Returning & LTV Analysis - Analysis of acquisition & retention performance with detailed reports
Drilldown on Order Level - Display of detailed transparent breakdown of every order/conversion to truly understand behaviours

2. Marketing Mix Modelling - Analysis of variables like advertising, pricing, and distribution, MMM helps businesses make informed decisions about budget allocation and resource optimization. It provides data-driven insights that guide businesses in improving their marketing strategies, to enhance ROI and achieve more efficient resource allocation.

Historical Data Ingestion & Processing - Loads and processes historical campaign data from API based social and search channel
Feature Engineering & Model Selection - Automatically selects and transform the right features and ML models to run
Fast Training & Evaluation - Automatically trains the model to identify patterns between channels & performance, and validate the model’s accuracy
Channel Wise Budget Recommendations & Simulations - Offers channel level budget recommendations and with value changes to simulate performance
Exportable Budget Worksheet - Downloadable finalized budgets to share with respective media buyers or traders

3. Incrementality Testing - This is a data-driven technique that evaluates the real impact of marketing strategies. It involves controlled experiments to determine the incremental effect of specific campaigns, differentiating between natural customer behavior and marketing influence.

Experiment Setup - An experiment can be set up with its hypothesis, with control of audience segmentation and KPIs.
Management & Tracking of Experiments - Sortable display of active experiments to ensure data is flowing through from campaigns
Experiment Analysis - Displays the results of experiments in a single place and identify strategies that are outperforming and underperforming to calculate ROI
Exportable Reports & Recommendations - Downloadable and shareable experiments to present recommendations to relevant stakeholders.

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