What does the Analytics & Attribution Playbook cover?

It helps B2B teams build reliable attribution, launch a channel dashboard, and optimize spend allocation over a 90-day sprint.

Which attribution models does this playbook recommend?

The playbook covers first-touch, last-touch, linear, U-shaped, and data-driven models, helping you choose based on your sales cycle and data maturity.

Do I need expensive tools to implement this?

No. You can start with Google Analytics, your CRM, and a simple spreadsheet. The playbook recommends upgrading tools only when your data volume justifies it.

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Analytics &
Attribution Playbook

Within 90 days: a validated attribution model, a live channel contribution dashboard, and 2–3 optimizations that improve cost per opportunity or conversion rate.

A step-by-step playbook AAJ runs with you to deliver reliable attribution and data-driven budget decisions.

Request scopeSee the Sprint Plan

Who This Is For

Ideal clients: B2B SaaS and high-consideration services with a sales motion (demo, trial, or proposal) and $0.5M–$50M ARR.

Stakeholders involved: Head of Marketing, Growth Lead, Analytics/Marketing Ops, Sales Ops, and a technical owner for tracking.

Quick Decisions We'll Make Together

Upfront alignment so we move fast once the sprint starts.

Primary conversion to optimize (demo booked, trial start, paid conversion).

Reporting cadence (weekly signals; monthly model review).

Source of truth for revenue (CRM opportunity stage mapping).

Tolerance for opacity: prefer transparent rule-based models first; adopt algorithmic models only after validation.

Model Comparison

How we choose the right attribution model for your business.

Model	When We Recommend	Pros	Cons
Last Click	Low data volume; quick sanity checks	Simple; transparent	Overweights final touch
Linear	Want multi-touch visibility quickly	Easy to explain; fair credit	Treats all touches equally
Time Decay	Short sales cycles	Rewards recent touchpoints	May undercredit early awareness
Position Based	First + last both matter	Balances early and late influence	Weighting is arbitrary
Data Driven / Algorithmic	High volume and identity stitching	Potentially most accurate	Requires data, opaque; validate with experiments

Last Click

Linear

Time Decay

Position Based

Data Driven / Algorithmic

90-Day Sprint Plan

Week 0–1

Kickoff & Attribution Health Audit

Deliverables

One-page Attribution Health Audit (data sources, event inventory, identity readiness, UTM hygiene).

Align on primary conversion; map CRM stages to conversion
Run AAJ Growth Score for analytics readiness

Client input: Grant analytics and CRM access; assign tracking owner.

Week 2–4

Data Capture & Baseline

Deliverables

Event Inventory Spreadsheet; implemented missing events; baseline dashboard with last 90 days.

Implement GA4 events and server-side capture for critical conversions
Enforce UTM standards; add CRM ID capture on forms

Client input: Event duplication <2%; CRM match rate target >85%.

Week 5–8

Parallel Modeling & Validation

Deliverables

Parallel model outputs (last click, linear, time decay, recommended model); Model Comparison Report.

Run 2 validation experiments (Paid Search Spend Shift; Landing Page + Nurture)
Compare model attribution to actual pipeline movement

Week 9–12

Operationalize & Handoff

Deliverables

Live attribution dashboard, SOP pack (weekly review checklist, experiment brief, model change log), training session.

Automate weekly reports; set budget reallocation triggers
Handoff to client ops with a 60-minute training

Experiments We Run to Validate Models

Each experiment includes a hypothesis, primary metric, duration, success threshold, and attribution validation method.

1Paid Search Spend Shift

2Landing Page + Nurture

3Channel Pause Test

Deliverables AAJ Shares with You

Client-ready assets you receive throughout the engagement.

Attribution Health Audit (PDF)

Event inventory, identity gaps, UTM hygiene, top 5 quick wins.

Event Inventory Spreadsheet

Event name, category, firing status, owner, notes.

Experiment Brief Template

Hypothesis, metrics, setup, duration, success threshold.

Parallel Model Report

Side-by-side model outputs and variance analysis.

Attribution Dashboard

Overview, Channel Contribution, Experiment Results, Data Health.

SOP Pack

Weekly review checklist, model change log, governance rules.

Training Session

60-minute walkthrough for marketing and sales.

Dashboard Structure & Key Signals

Your live attribution dashboard at a glance.

Dashboard Tabs

OverviewChannel ContributionExperiment TrackerCost per OpportunityData Health

Key Metrics

Visitor → LeadLead → OpportunityOpportunity → WinCost per Opportunity by channel

Signal Thresholds (Visitor → Lead)

Green: > baseline +10%Amber: ±10%Red: < baseline -10%

Model Variance: Show % difference between models for top 3 channels and flag >20% variance for review.

SOPs & Governance

How decisions get made and who owns what.

Weekly Attribution Review (15–30 min)

Check data health, experiment signals, and recommend budget shifts.

Budget Reallocation Rule

Move up to 10–20% incremental budget to channels with sustained green signals and acceptable CAC.

Model Change Log

Record model changes, rationale, and experiment evidence.

Access Controls

Only analytics owners can change event definitions or model weights.

Engagement Options

Fixed fee

Audit Only

Attribution Health Audit + prioritized fixes.

Fixed fee

90-Day Sprint

Full implementation, parallel modeling, experiments, dashboard, SOPs.

Monthly

Ongoing Retainer

Weekly reviews, experiment design, dashboard maintenance, and model governance.

Common Pitfalls & How AAJ Prevents Them

Building complex models before data readiness.

Prevention: Start with rule-based models and run validation experiments before adopting algorithmic models.

Platform metric mismatch.

Prevention: Reconcile via raw touch exports and consistent conversion definitions.

Over-gating insights.

Prevention: Present multiple models side-by-side and use experiments as tie-breakers.

Illustrative Example

Client

Illustrative example: a B2B SaaS company

Problem

Unclear channel contribution; rising CAC.

Action

Implemented event taxonomy, ran parallel models, validated with paid search spend shift and landing page test.

Result

Identified over-credited display channel; reallocated budget to search and nurture; the kind of outcome to expect is a lower cost per opportunity within a quarter.

Ready to Get Started?

Three steps to launch your attribution sprint.

Approve kickoff and share analytics + CRM access.

Confirm primary conversion and stakeholder list.

Schedule 60-minute kickoff to run the Attribution Health Audit in week 0.

Request scopeCall (510) 516-6170

Analytics & Attribution Playbook

Who This Is For

Quick Decisions We'll Make Together

Model Comparison

Last Click

Linear

Time Decay

Position Based

Data Driven / Algorithmic

90-Day Sprint Plan

Kickoff & Attribution Health Audit

Data Capture & Baseline

Parallel Modeling & Validation

Operationalize & Handoff

Experiments We Run to Validate Models

1Paid Search Spend Shift

2Landing Page + Nurture

3Channel Pause Test

Deliverables AAJ Shares with You

Attribution Health Audit (PDF)

Event Inventory Spreadsheet

Experiment Brief Template

Parallel Model Report

Attribution Dashboard

SOP Pack

Training Session

Dashboard Structure & Key Signals

Dashboard Tabs

Key Metrics

Signal Thresholds (Visitor → Lead)

SOPs & Governance

Engagement Options

Audit Only

90-Day Sprint

Ongoing Retainer

Common Pitfalls & How AAJ Prevents Them

Illustrative Example

Ready to Get Started?

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