Adobe Analytics Rockstar Tips & Tricks

Welcome to the Adobe Analytics Rockstar Hall of Fame—where data legends live forever. Explore the stories of trailblazers who turned numbers into magic and insights into impact.

2025

Flagging Only Significant Values

By Victoria Stapleton
2025

Analyzing Cross-pollination with Advanced Techniques

By Victoria Stapleton
2025

Automating AA Classifications & Customer Attributes via GCP & Python

By Sumit Kumar
2025

Merging Multiple Report Suites inCustomer Journey Analytics (CJA) using ECID as Person ID

By Sumit Kumar
2025

Statistical process control

By Rebekah Worsfold
2025

Multi-touch and Omni-channel Attribution

By Rebekah Worsfold
2025

Applying the 80/20 Rule With Adobe + Excel and Segmenting Top Revenue Drivers from the Long Tail

By Martine Jørgensen
2025

Visualizing Product Performance with a Growth Matrix and Prioritizing with Strategic Quadrants

By Martine Jørgensen
2025

Journey Canvas – Game Winning Marketing Channels

By Trent Thayne
2025

Journey Canvas – Winning or Losing with your Redesign

By Trent Thayne
2025

Using Regressions to Estimate Missing Data

By Mandy George
2025

Calculating Weighted Comps

By Mandy George
2025

Campaigns/Marketing Channels for Mobile Apps

By Jennifer Dungan
2025

Reporting by Content Date

By Jennifer Dungan
2025

Need for Speed: Accelerating Your Results with Precision! – Part 2

By Jeff Bloomer
2025

Need for Speed: Accelerating Your Results with Precision!

By Jeff Bloomer
2024

NOT the Analytics Supervillains Conference 

By Jim Gordon
2024

Adobe Journey Optimizer Reporting in Customer Journey Analytics

By Katie Klein
2024

Unique Data View Attribution

By Katie Klein
2024

The apparently secret joy of Counter eVars

By Matt Bentley
2024

The Hidden Segment

By Matt Bentley
2024

Visit-in-Hit Segments

By Mandy George
2024

Creating In-Report Normalized Metrics for Anomaly Detection

By Mandy George
2024

Launch into Customer Journey Analytics

By Jim Gordon
2024

Trended Fallout Report

By Jennifer Dungan
2024

Enhanced Lists

By Jennifer Dungan
2023

Visit Scoring

By Victoria Stapleton
2023

Activity Map Destination

By Victoria Stapleton
2023

Revenue Metric for Travel Period

By Tomasz Piekutowski
2023

Estimated Conversions

By Tomasz Piekutowski
2023

Smarter Alerts

By Jennifer Dungan
2023

Improve New/Return Visitor Segments

By Jennifer Dungan
2022

Fallouts and Funnels and Recreating the Full Path Report via the Flow Visualization with some Excel magic: TEXTJOIN() 😳

By Jenn Kunz
2022

Keeping track of goals using the Linearity Indicator in Analysis Workspace

By Frederik Werner
2021

Self-explanatory dashboards using Adobe App Builder

By Till Buettner
2021

Use Analysis Workspace to Streamline the QA Process

By Halee Kotara
2021

Creating an automated click overlay analysis

By Meghan Powers
2020

Automatically calculate number of days that a campaign is live

By Selin Can
2020

Calculation of 6 weeks average sales for rolling sales week

By Selin Can
2020

Product string: More than just products

By Scott Meads
2020

It’s classified: Offline data in an Online world

By Scott Meads
2020

Date annotations in Workspace

By Jennifer Dungan
2020

Data documentation

By Jennifer Dungan
2020

Include internal marketing channels for more complete attribution

By David Geist
2020

How to build an Analysis Workspace sales funnel in 5 minutes

By David Geist
2019

Log Data Issues, Site Changes, and Marketing Events in Adobe Analytics

By Audrey Salerno
2019

Calculate how many [ X ] before a visitor’s first [ Y ]

By Audrey Salerno
2019

Adobe Analytics Documentation 2.0

By Urs Boller
2019

Trend time-based cohorts to KPIs to discover the “aha moment” for your customers

By Piermarco Burrafato
2019

Apply a monthly unique visitor ratio to behavioral personas to accurately evaluate user growth

By Piermarco Burrafato
2018

Use of Date Ranges to Split Monthly Active Users into New, Retained, Resurrected, and Churned Users

By Piermarco Burrafato
2018

“The Speaking Dashboard”

By Urs Boller
2018

KPI Summary Table

By Urs Boller
2018

Incorporate nested IF functions in a calculated metric to understand if you are on pace to hit your end-of-month goals

By Matt Botta
2018

Manipulate some advanced functions to better analyze your product assortment via Calculated Metrics

By Matt Botta
2018

Trend visitor engagement metrics with custom rolling date ranges that bind the visitor retention segments to individual months

By Audrey Salerno
2018

Segment visitors by their level of re-engagement to measure new visitor retention

By Audrey Salerno
2018

Use internal search to identify SEO and paid search opportunities

By David Berger
2018

Leverage Calculated Metrics and the Fibonacci sequence to create a super-powered engagement score

By David Berger
2018

Use the data from Adobe Target activities to create segments and calculated metrics that further expand the integration with Adobe Analytics

By Kerri Adcock
2018

Combine the powers of classifications, sub-classifications, and classification rules for a highly governed data strategy

By Kerri Adcock
2018

Set and measure targets for your KPIs based on historical growth

By Halee Kotara
2018

Use Analysis Workspace to streamline the QA process of mobile app and web data

By Halee Kotara
2018

Expand the click overlay to visually align conversions and CTAs on a page

By Meghan Powers
2018

Create an automated click overlay by leveraging ReportBuilder and DTM

By Meghan Powers
2017

Understanding potential audience size for a Target offer is a requirement for choosing your segmentation wisely

By Prolet Miteva
2017

Go where your users are and give them data there

By Prolet Miteva
2017

Take advantage of time-parting functionality to break up “business days” from “non-business days”

By Rob Adams
2017

Analyze the success of these algorithmically presented products (Adobe Target + Analytics)

By Rob Adams
2017

Democratizing analytics data with an integration with Slack

By Hila Dahan
2017

Connecting the disparate dots along a customer’s journey is difficult

By Hila Dahan
2017

Define and visualize your customer’s journey

By Brad Millett
2017

Use data from your Activity Map to automatically fill in data gaps

By Brad Millett
2017

Create a calculated metric that truly shows average page load time

By David Bressler
2017

When event data is missing — leverage statistics, page views, and correlation analyses to fill in the gap

By David Bressler