Analyzing the Success of the 33 Sticks Remote Team

33 Sticks CEO, Jason Thompson, sat down with the team from Workfrom to answer questions about the the company’s success and to share his thoughts about best practices for distributed organizations. Read the full interview here: https://workfrom.co/magazine/story/analyzing-success-33-sticks-remote-team  ...

33 Sticks Welcomes Joe Orlet

A decade ago I started working in Digital Analytics. During this time I worked with brands such as MasterCard, Home Depot, HP, Hasbro, and McDonald’s. Along with working across multiple market verticals as a consultant, my digital analytics tenure also includes experience as a product end-user and employment with a product vendor. Over the years, I observed a number of Digital Analytics efforts become mired in a cycle of implementation and re-implementation. Reasons vary between companies, however, mitigating the impact falls upon the the Digital Analytics Professional. While not applicable to every situation, I submit two general guidelines to follow: advocate implementation simplicity, target project self-sustainability.   Implementation Simplicity Implementation simplicity applies across many fronts, from eliminating overlapping products to collection of necessary data. When defining requirements consider not only business value, but implementation and maintenance cost. The more complex an implementation, the likelihood of full deployment decreases, in turn, the cost of maintenance and mistrust of data increases.   Project Self-Sustainability Partnering implementation simplicity is project self-sustainability. While complete self-sustainability is an infrequent occurrence, the product of the goal is often worth the investment. Foremost, clearly document the business logic around data collection and error handling. This business logic allows breaking away from the spreadsheets full of URLs and corresponding variables.   Self-sustaining implementations forgo rigid spreadsheets, rather relying upon rules defining variable structure and format. Often with the addition of simple programmatic logic, implementations adapt as digital properties change. While relinquishing a certain level of control, it allows the implementation a safe degree of self-management.     Trying to incorporate these two basic guidelines often deliver a...

ObservePoint: How to Sell Your Boss On a Digital Data Layer

What is a Data Layer?   For many, the concept of a data layer is still elusive—and for those who grasp it, there is always more to learn. At its most basic form, a data layer is a layer of programming language that contains various types of information including online user behavior data, mobile app activity, transaction information, etc. A data layer sits between the user interface and the numerous applications required to run your site or mobile app and transfers the user activity data from the user interface to those vendor applications. Read the full post here:...

Jason Thompson, Co-Founder of 33 Sticks, to Present at ObservePoint’s 2016 Analytics Summit

SILICON SLOPES, Utah – November 2, 2016 – ObservePoint is pleased to announce that Jason Thompson, Co-Founder at 33 Sticks, will be speaking at the first annual Analytics Summit, hosted by ObservePoint. Thompson will be discussing a recent hot topic in the analytics industry: how to convince your boss of the need for a data layer. Read the full Press Release here:...

Jon Narong Joins 33 Sticks to Strengthen Insights and Optimization Offerings

AMERICAN FORK, UT JUNE 01, 2016 — When we started 33 Sticks, we set out to create something unique and special. Not only was the services landscape quickly becoming littered with fly-by-night analytics shops and full service marketing agencies adding analytics as a “core specialty” but we had grown generally tired of the way analytics consulting was being done. We saw clients getting low return on their investments by being sold high priced services that were then staffed by junior consultants, we witnessed first hand clients being sold “a bucket of hours” rather than value, and so we set out to change the way analytics consulting was done which started with a commitment to only hire the very best analytics talent in the world. In a continuation of this commitment, we are pleased to announce the addition of Jon Narong to the 33 Sticks family. Jon brings more than 10 years of experience in the digital analytics space in both technical and business focused analytical roles. Jon joins 33 Sticks from lynda.com, recently acquired by LinkedIn, where he ran the digital analytics and optimization practice. Prior to joining lynda.com, Jon lead the analytics platform migration for the POPSUGAR media network. As an industry veteran, Jon’s tenure includes managing e-commerce analytics and optimization for Apple, Disney, and Beachbody.   “The strong value proposition and ideologies continually demonstrated by Jason and Hila have always been an inspiration in my career and I am extremely humbled to be able to begin working alongside the very talented team at 33 Sticks.”   Jon will play a critical role in extending our data insights,...

HBR Partners with 33 Sticks to Supercharge Adobe DTM Implementation

NOTE: This press release was originally published on PRWeb. AMERICAN FORK, UT (PRWEB) APRIL 06, 2016 Harvard Business Review (HBR) approached 33 Sticks to help maximize the utility of their tag management system on HBR.org. The team at HBR had questions about user interactions and how they could best leverage data to improve site usability. They knew with an effective tagging architecture they would understand their users’ needs to a greater degree, which would ultimately foster a data-driven culture. The team uses Adobe Dynamic Tag Manager to implement both Google Analytics and Coremetrics. The engagement began fast-paced, spanning a mere 3 days between the start of the engagement and when HBR was able to gain insights from data they could trust. This speed allowed HBR to quickly show results-driven value from the partnership. Approach & Results A tagging implementation begins with understanding core business needs. As a market-leading publisher, HBR’s key to success is through creating engaging content. HBR recognized that out-of-the-box measurement of article engagement wasn’t enough to indicate the success of their articles. Working with 33 Sticks, the team constructed hypotheses to describe distinct user behavior patterns. Custom dimensions were added to create visibility into these behaviors and help HBR make better, user- centric decisions. Among the new data, they are able to understand which article topics have the highest engaged readership. Within days, HBR was wielding the power of the new data and insights. HBR learned that users who completed an article were significantly more likely to register for an account than general users. In addition, users who read and shared an article were 2.5x more...