Marketing Ops · case study
Reporting Cycle Cut from 4 Days to 2 Hours
The challenge
Salesforce.org had 95+ marketers across NGO and Education motions relying on disconnected spreadsheet scorecards. Weekly reporting consumed multiple analyst days, KPI definitions varied by region, and campaign-to-pipeline contribution was frequently disputed in forecast meetings. Leaders needed a trusted operating view that could support weekly optimization decisions, quarterly planning, and executive reviews without manual reconciliation.
Our methodology
1. Designed a centralized analytics model that standardized stage definitions
Designed a centralized analytics model that standardized stage definitions, campaign taxonomy, and attribution logic before dashboard development
2. Built Tableau/Einstein dashboard suites for executives
Built Tableau/Einstein dashboard suites for executives, regional demand leaders, and campaign managers, each tied to role-specific decisions
3. Introduced data validation checks and QA routines across CRM and MAP sources to reduce metric drift
Introduced data validation checks and QA routines across CRM and MAP sources to reduce metric drift
4. Launched enablement and operating cadences so teams used one source of truth for weekly performance actions.
Launched enablement and operating cadences so teams used one source of truth for weekly performance actions.
Key decisions and why they mattered
Standardize KPI definitions before rebuilding visualizations
Dashboard adoption fails when teams disagree on definitions, even if charts are technically correct.
Impact: Improved cross-region confidence in reported performance and reduced escalation loops in forecast reviews.
Design role-specific dashboard views instead of one universal report
Executive, regional, and campaign teams require different grain and actionability.
Impact: Increased weekly usage and accelerated decision-making by aligning data views to ownership.
Embed recurring QA checks into the reporting workflow
Sustainable trust required ongoing validation, not one-time cleanup.
Impact: Reduced reporting rework and improved signal reliability during quarterly planning.
The execution
Designed a centralized analytics model that standardized stage definitions, campaign taxonomy, and attribution logic before dashboard development. Built Tableau/Einstein dashboard suites for executives, regional demand leaders, and campaign managers, each tied to role-specific decisions. Introduced data validation checks and QA routines across CRM and MAP sources to reduce metric drift. Launched enablement and operating cadences so teams used one source of truth for weekly performance actions.
The outcome
Measurable impact across pipeline, efficiency, and growth.
Cut reporting cycle time from 4 days to 2 hours for core demand dashboards
Supported 76% YoY lift in marketing-attributed pipeline with faster optimization loops
Contributed to 65% SQL growth by exposing clearer targeting and conversion diagnostics
“Cut reporting cycle time from 4 days to 2 hours for core demand dashboards”
Salesforce
Outcome summary
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