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Attribution Modelling → Pipeline Reporting & Dashboards

Marketing and sales arguing
about pipeline is a data problem.
Reporting solves it.

Pipeline Reporting & Dashboards is a process in B2B marketing. When marketing and sales share a single pipeline view with agreed definitions and consistent data, the debate about who generated what pipeline disappears. What remains is the shared commercial conversation about what’s working, what isn’t, and where to invest next.

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67%of B2B marketing teams and sales teams disagree on pipeline metrics because they’re measuring different things with different tools
3×faster commercial decision-making in organisations with shared pipeline reporting infrastructure vs those where marketing and sales use separate measurement systems
41%of B2B revenue forecasts are materially inaccurate due to pipeline data quality issues that shared reporting infrastructure would surface and resolve
Why pipeline reporting matters

Pipeline data that’s not shared
generates more friction than insight

Marketing measures pipeline in MQLs and marketing-sourced opportunities. Sales measures it in forecast value and close dates. Finance measures it in committed revenue. When each function measures the same pipeline through a different lens with different definitions and different data sources, the result is disagreement about what’s actually happening commercially.

Shared pipeline reporting infrastructure — a single source of truth for pipeline definitions, stage criteria, conversion rates, and forecast data — replaces that disagreement with shared visibility. Pipeline reporting that produces commercial alignment rather than commercial debate is one of the highest-value RevOps investments available to most B2B organisations.

The data quality dimension is equally important. Pipeline reporting built on CRM data that hasn’t been maintained produces confident-looking reports that are materially inaccurate. Pipeline reporting infrastructure includes the data quality processes that keep the CRM records accurate enough for the reports to be trusted.

Signs your pipeline reporting needs work
01Marketing and sales present different pipeline numbers to the same leadership meeting because they’re drawing from different data sources with different definitions
02Your CRM pipeline data is unreliable because sales reps don’t consistently update deal stages, close dates, and values
03Revenue forecasts are consistently inaccurate because the pipeline data they’re based on doesn’t reflect deal reality
04There’s no shared view of the marketing-to-sales funnel — conversion rates from MQL to SQL to opportunity to closed-won are not tracked consistently
05Leadership makes marketing investment decisions based on incomplete pipeline data
Our approach

How we build pipeline reporting
that marketing and sales both trust

Pipeline reporting that both teams trust is built on agreed definitions, clean CRM data, and a visual design calibrated to the specific decisions each audience needs to make.

01

Pipeline Definition & Stage Alignment

We facilitate the process of agreeing shared pipeline definitions across marketing and sales: what constitutes an MQL, an SQL, an opportunity, and a closed-won — with specific criteria rather than vague descriptions. Stage definitions are documented, agreed by both teams, and built into the CRM as the mandatory fields that make stage progression meaningful.

02

CRM Data Quality Infrastructure

We implement the data quality controls that keep pipeline reporting accurate: required field validation for stage progression, automated alerts for stale deals, duplicate contact and account management, and regular data audits that surface quality issues before they corrupt reports.

03

Dashboard Design for Multiple Audiences

We design distinct reporting layers for different audiences: operational dashboards for marketing and sales managers; forecast dashboards for sales leadership; executive dashboards for the board and CFO covering pipeline coverage ratios, revenue trajectory, and marketing ROI.

Why Harmonic

What makes our pipeline reporting approach
drive commercial decisions

Pipeline reporting that drives commercial decisions is trusted, current, and calibrated to the questions decision-makers are actually asking.

Agreed definitions as the prerequisite

Pipeline reporting built on disputed definitions produces reports that both teams technically accept but neither trusts. We facilitate the definition alignment process before building a single dashboard.

Data quality that makes the reports trustworthy

A beautiful dashboard built on inaccurate CRM data produces confident-looking misinformation. We implement data quality controls that make the underlying data trustworthy before the reporting is presented.

Decision-oriented design

Every dashboard element should answer a specific commercial question. We design reporting from the questions — what is our pipeline coverage ratio? Where are deals stalling? Which marketing channels are producing pipeline? — rather than from the data fields available in the CRM.

Reporting that surfaces problems early

The most valuable pipeline report is not a success summary — it’s a diagnostic tool that surfaces problems while there’s still time to act. Pipeline coverage below target, conversion rate drops at specific funnel stages, and forecast accuracy degradation are the signals that warrant commercial intervention.

What you get

What the pipeline reporting programme
delivers

Deliverables span the definition framework, the CRM configuration, and the dashboards that serve each commercial audience.

Pipeline Definition Framework

Documented stage definitions, conversion metric calculations, and data quality standards agreed across marketing, sales, and finance.

CRM Pipeline Configuration

Stage criteria enforcement, required field validation, automated staleness alerts, and data quality audit infrastructure.

Marketing Funnel Dashboard

Conversion rate tracking from MQL to SQL to opportunity to closed-won, with marketing source attribution and trend data.

Sales Pipeline Dashboard

Deal stage distribution, pipeline velocity, close date accuracy, and pipeline health for sales management.

Executive Revenue Dashboard

Pipeline coverage ratios, revenue trajectory, forecast accuracy, and marketing ROI in commercial language.

Monthly Pipeline Reviews

Monthly review cadence with both marketing and sales teams using shared dashboard data as the basis for commercial decisions.

How we work

How we build your
pipeline reporting infrastructure

Definition alignment before dashboard build. A dashboard built on undefined or disputed pipeline stages produces confident-looking disagreement.

1
Weeks 1–2

Definition Alignment

Marketing, sales, and finance stage definitions aligned. Data quality standards agreed. CRM audit completed.

Definition FrameworkData Audit
2
Weeks 2–4

CRM Configuration

Stage criteria configured. Required fields implemented. Data quality alerts and audit processes set up.

CRM ConfigurationQuality Controls
3
Weeks 4–6

Dashboard Build

Three-layer dashboard set built for marketing, sales, and executive audiences.

Dashboard BuildStakeholder Review
4
Monthly

Reporting & Review Cadence

Monthly pipeline reviews using shared dashboards. Data quality monitored. Definitions reviewed quarterly.

Monthly ReviewsQuarterly Definitions
Common questions

Pipeline reporting — answered

The questions we hear from RevOps and marketing leaders building shared pipeline reporting infrastructure.

How do we get sales and marketing to agree on pipeline definitions?+

Start with the question each team is trying to answer rather than with the definitions themselves. Define each stage from the commercial question it answers rather than from a theoretical funnel model. The process requires facilitation and explicit agreement — a 90-minute joint session produces more genuine alignment than an emailed definition document.

What is the right pipeline coverage ratio for B2B?

3 to 4 times the quarterly revenue target is the commonly cited benchmark. Calculate your coverage target from your historical win rate rather than applying a generic benchmark. If your win rate is 25%, you need 4x coverage. If it’s 33%, you need 3x.+

How do we improve CRM data quality for better pipeline reporting?

Required field enforcement at stage progression is the highest-impact single control: if a deal cannot move to the next stage without a close date, a deal value, and a primary contact attached, the most common data quality failures are prevented at source. Automated staleness alerts for deals that haven’t been updated in 14 to 30 days catch deals that have stalled but haven’t been marked as lost.

What should a board-level pipeline report contain?+

Three metrics that tell the complete commercial story: pipeline coverage ratio, stage-weighted forecast, and marketing sourced vs sales sourced pipeline split. Supporting context: conversion rate trends at each funnel stage, average deal size trend, and marketing investment efficiency per channel.

How do we handle multi-product or multi-segment pipeline reporting?

Segment reporting at both the definition and the dashboard level. Define stage criteria that work consistently across products and segments, and build dashboards that allow filtering by product, segment, and geography while maintaining a unified top-line view.+

Ready to build pipeline reporting
that marketing and sales both trust?

We’ll align your pipeline definitions, fix the CRM data quality, and build the dashboards that give every commercial audience the specific view they need.

How do we handle multi-product or multi-segment pipeline reporting?+

Segment reporting at both the definition and the dashboard level. Define stage criteria that work consistently across products and segments and build dashboards that allow filtering by product, segment, and geography while maintaining a unified top-line view.

The most common mistake in multi-product pipeline reporting is mixing pipeline from fundamentally different business units into a single conversion funnel. A £10,000 SMB deal and a £200,000 enterprise deal have different cycle lengths, win rates, and stage criteria.

Ready to build pipeline reporting
that marketing and sales both trust?

We’ll align your pipeline definitions, fix the CRM data quality, and build the dashboards that give every commercial audience the specific view they need.

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More from Harmonic
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Multi-touch attribution, pipeline reporting, CRM & MAP integration, sales-marketing alignment, B2B marketing analytics, and CDP strategy — everything needed to connect marketing activity to revenue.
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