Stop tracking metrics. Start understanding what drives revenue.
We help B2B companies structure, centralize, and analyze sales and marketing metrics to improve performance, alignment, and revenue predictability.
Most companies track dozens of metrics. Few have clarity on what drives revenue.
- ✕ Too many disconnected KPIs with no clear hierarchy
- ✕ No clear link between marketing activity and revenue
- ✕ Misalignment between sales and marketing teams
- ✕ Inconsistent metric definitions across tools and teams
- ✕ Leadership does not trust the data
- → Poor decisions based on misleading metrics
- → Low ROI on marketing spend
- → Unpredictable revenue and missed targets
- → Teams optimizing local metrics, not business outcomes
CMO
Marketing generates leads but cannot prove revenue impact, making budget justification impossible
CRO
Sales and marketing use different definitions for the same metrics, making alignment and forecasting unreliable
CEO
Leadership questions which metrics actually matter and whether the dashboards reflect what is really happening in the business
The problem is not which metrics you track. It is how they connect to revenue. Sales and marketing metrics are not reports. They are a system of revenue logic. The goal is not more dashboards. It is understanding where revenue is created or lost across the full funnel.
Sales and marketing metrics structured into a unified revenue intelligence system
We connect digital marketing metrics, B2B sales metrics, and pipeline performance into a single framework designed for decisions, not reporting.
Unified KPI Framework
A single, consistent set of metrics aligned across sales and marketing, with clear definitions and ownership for each KPI.
Full-Funnel Performance Analysis
From marketing reach to closed revenue: conversion rates, attribution, and efficiency analyzed at every stage of the funnel.
Sales and Marketing Alignment
Identify where marketing and sales disconnect: lead quality, handoff criteria, MQL definitions, and attribution gaps.
Marketing ROI and Attribution
Which channels, campaigns, and activities actually generate revenue, not just leads, connected directly to pipeline and closed deals.
Centralized Dashboards
Built in Power BI, Tableau, Looker, or layered on top of your existing HubSpot setup.
Revenue Metrics and Unit Economics
CAC, LTV, payback period, and margin analysis connected to your actual sales and marketing performance data.
What we do
- ✓ Define metrics for sales and marketing aligned with revenue
- ✓ Build unified KPI frameworks across teams
- ✓ Analyze performance across the full funnel
- ✓ Identify gaps between marketing and sales
- ✓ Structure data for executive decision-making
- ✓ Deliver centralized dashboards in HubSpot, Power BI, Tableau, or Looker
Who this is for
- B2B companies with sales and marketing teams
- SaaS and complex sales environments
- CROs, CMOs, and revenue leaders
- Companies struggling with alignment and attribution
Every engagement is scoped around your data stack and revenue goals.
Talk to a SpecialistFrom disconnected data to a unified revenue intelligence system
Five steps from raw CRM and marketing data to a framework your whole team operates from.
Data Collection
CRM, marketing platforms, pipeline data, and performance metrics gathered from HubSpot, Salesforce, and your existing tools.
Data Structuring
Standardize metric definitions, centralize data sources, and create a single source of truth across sales and marketing.
Analysis and Modeling
Funnel performance, conversion rates, attribution, channel efficiency, and unit economics modeled across the full revenue cycle.
Insight Generation
Identify inefficiencies, gaps between teams, attribution failures, and the specific metrics that actually predict revenue outcomes.
Strategic Application
Define actions to improve alignment, marketing ROI, and revenue performance, with dashboards your teams use every day.
What we analyze
- Lead generation and acquisition cost
- Channel performance and attribution
- Campaign effectiveness and ROI
- Conversion rates and win rates
- Deal size and sales cycle length
- Win/loss patterns by segment
- Lead-to-opportunity conversion
- Pipeline velocity and coverage
- Stage performance analysis
- Marketing-to-sales conversion quality
- Lead quality vs. revenue generated
- Attribution across the full funnel
- CAC, LTV, payback period
- Revenue growth and efficiency
- Margin and discount impact
- CRM and marketing data quality
- Reporting consistency across tools
- Definition alignment between teams
Not disconnected dashboards. Structured revenue intelligence.
Unified Sales and Marketing KPI Framework
A single, consistent set of metrics with clear definitions, ownership, and revenue connection across both teams.
Centralized Dashboards
Built in HubSpot, Power BI, Tableau, or Looker. See live example: SaaS Revenue Dashboard.
Funnel and Conversion Analysis
Stage-by-stage breakdown of where leads convert, where they stall, and what each team contributes to revenue.
Sales and Marketing Alignment Reports
Structured diagnosis of where the handoff breaks, why leads do not convert, and how to fix the gap between teams.
Attribution and Performance Analysis
Which channels, campaigns, and activities actually generate revenue, traced through the full funnel to closed deals.
Strategic Recommendations
Specific actions to improve alignment, marketing ROI, and revenue performance your teams can implement immediately.
Everything designed for decision-making, not reporting.
Talk to a SpecialistBuilt for the leaders accountable for revenue performance
Align sales and marketing around revenue
- Create shared metrics that both teams operate from
- Improve forecast accuracy with better funnel visibility
- Identify where the handoff between teams breaks revenue
Prove the impact of marketing on revenue
- Connect B2B marketing metrics to pipeline and closed deals
- Optimize channel investment based on revenue attribution
- Improve lead quality with data-backed ICP definition
Focus on what actually converts
- Identify pipeline inefficiencies with conversion analysis
- Improve win rates with segment and ICP performance data
- Build reliable forecasts grounded in real funnel signals
Structured metrics lead to measurable revenue outcomes
Better alignment between teams
Sales and marketing operating from the same metrics and definitions stops the blame cycle and starts revenue clarity.
Higher conversion rates
Funnel analysis identifies exactly where leads stall and what changes convert more of the existing pipeline.
Improved marketing ROI
Attribution data shows which channels and campaigns generate revenue, not just leads, so budget goes to what works.
More predictable revenue
Reliable metrics and consistent definitions make forecasting accurate for leadership, finance, and investors.
Faster and more confident decisions
Leadership with trusted data makes better decisions faster, without waiting for teams to reconcile conflicting reports.
Increased efficiency across the funnel
Resources directed toward channels, segments, and activities with validated revenue impact, not assumptions.
Ready to stop measuring in silos and start driving revenue as a system?
Start a ConversationWhat our clients actually say
With Zenit, we did a full analysis of our sales and customer data spanning several years. That gave us real clarity on what our ICP should be. From there, we continued with Zenit as our guide on HubSpot and Looker for revenue analytics across sales and customer success. The guidance and transparency are there so we can manage with data, not with assumptions.
Not a reporting tool. A revenue intelligence partner.
Most companies treat metrics as dashboards and isolated KPIs. We treat them as a system of revenue intelligence.
Focus only on business and revenue data
No vanity metrics, no generic reports. Every metric we define or analyze is connected to a revenue outcome.
Sales, marketing, and pipeline analysis combined
We connect the full revenue cycle: from marketing spend to closed deals, in one coherent analytical framework.
Deep technical modeling, not superficial dashboards
Attribution modeling, funnel diagnostics, and unit economics analysis with real analytical rigor.
Built for B2B companies with complex sales
SaaS, long cycles, multi-channel acquisition, and enterprise sales where standard B2B marketing metrics fall short.
We explain why, not just what
We do not just track sales metrics. We show how they drive or block revenue across the full funnel.
Delivered in tools your teams already use
HubSpot, Salesforce, Power BI, Tableau, Looker. No new systems forced on your team.
Common questions
Sales and marketing metrics are KPIs used to measure performance across acquisition, conversion, and revenue generation. They matter because they are the system through which leadership understands where revenue comes from, where it is lost, and what to change. The most important sales metrics to track include conversion rates, pipeline value, deal size, sales cycle length, and win rate. Key marketing metrics include CAC, lead generation volume, channel performance, and MQL-to-revenue conversion.
By creating a shared framework that connects leads to opportunities to revenue, and defines consistent metrics across both teams. The most common failure point is inconsistent MQL definitions and missing attribution between marketing activities and actual closed deals. We fix this by building a unified KPI framework that both teams operate from, with clear handoff criteria and revenue-connected goals.
Business intelligence reports performance. We connect metrics to decisions, strategy, and revenue outcomes. The difference is that a BI dashboard tells you conversion dropped 12%. We tell you why it dropped, which segment it dropped in, and what specific action will fix it.
We work with HubSpot, Salesforce, Pipedrive, and most standard CRM and marketing automation tools. Dashboards are delivered in Power BI, Tableau, Looker, or layered on top of your existing HubSpot setup. No forced migrations.
Improved conversion rates, better marketing ROI, increased revenue efficiency, and stronger team alignment. See how we applied this for our clients, including building a full sales and CS analytics layer for Deeploy across HubSpot and Looker.
Initial framework and analysis setup typically takes 2 to 4 weeks. Ongoing monitoring and continuous revenue intelligence is available for teams that want a permanent analytical layer across sales and marketing performance.
Stop measuring performance in silos. Start driving revenue as a system.
Every engagement is scoped around your data stack, team structure, and revenue objectives.