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Bring media and business outcome data into a shared measurement foundation. Start with the connections needed to answer your most important questions.
Integrations
The approach
Connect the sources behind your media and business outcomes. Align definitions, verify coverage and agree the source owners before using the data for decisions.
Connect
Use native integrations, supported warehouse sources and scheduled API or file feeds for the agreed scope. Prioritize the channel inputs, outcome series and business context your first decision needs.
Reconcile
During onboarding, review dates, currencies, coverage and taxonomy. Reconcile against known totals and resolve material gaps before the model produces reads used for decisions.
Organize
Map inconsistent source labels into an agreed channel and campaign structure. A changed hierarchy can be handled through remapping, with definitions reviewed so comparisons remain meaningful.
Operate & export
Name the people responsible for access and source interruptions. Use supported APIs, BI connections or reverse ETL to make modelled outputs available in the workflows where your team needs them.
How it works
Are the inputs ready for the agreed model?
The method, context and review stay connected at each step.
Identify media, business outcomes and context for the initial program.
Use supported connections and agree source access ownership.
Check date ranges, definitions, currency, completeness and coverage.
Agree refresh expectations and how interruptions are handled.
People + agents
Your source owners authorize access and resolve input questions with the implementation team. Native connectors are maintained by Lifesight; onboarding includes a reviewed validation and reconciliation gate.
Built around your business
Work with Lifesight experts to establish your measurement program and put agents to work. Every engagement is scoped individually, with agreed responsibilities and ongoing support.
Review the current connector directory with the team. Availability and access patterns depend on the source and your deployment requirements.
Snowflake and BigQuery are supported sources in the product reference. Confirm the access pattern and fields required for your implementation during scoping.
Assess the gap before choosing a method or promise. Some questions can start with a narrower scope; others need additional history or source reconciliation.
Lifesight builds and maintains its native connectors. Your team provides the appropriate account authorization and ownership for changes or access interruptions.
Supported warehouse sources include Snowflake and BigQuery. Modelled outputs can be exported through supported APIs, BI connections and reverse ETL; confirm the required fields and access pattern during scoping.
Bring together causal measurement, AI agents and Lifesight experts in an engagement shaped around your business. Agree the work, responsibilities and support you need.
Connect causal marketing mix modeling, incrementality testing and adjusted attribution. Understand the impact of your investment, test what matters and bring stronger evidence into your next move.
