GrowthLoop University strictly uses an Electric Blue background, a dotted grid in Electric Blue Bright, and an angled line pattern block in Saffron for all creative. It is spearheaded by a custom GrowthLoop University logo in the brand font, Work Sans. To ensure clear boundaries between GrowthLoop and GrowthLoop University, these guidelines must be followed precisely, and the exact combination must be avoided in the remaining applications of the brand.
Linkedin posting templates
Customer journey maps
THE PROBLEM There are many examples of customer journey maps (CJMs), but actually understanding how the four map stages work together for your industry and your business is not always easy. Marketers unfamiliar with a CJM often find them confusing and hard to follow, particularly when the examples are packed with information irrelevant to their industry. And many CJMs prioritize a superficial wow-factor over functionality. Additionally, in my research I often found a lack of visual continuity between the four stages, whenever two or more were presented in conjunction.
THE SOLUTION Four stylistically cohesive charts that are less “designed” and more intent on the educational aspect. They clearly break down the methodology behind CJMs, guide marketers through a strategic thought process, and are generic enough to be applicable to any industry and any market. Plus, a matching template system GrowthLoop’s potential clients can use to try it out on their own.
A-day-in-the-life map
Mapping a day in the life of a customer can help marketers and customer-facing teams understand what the customer is thinking, and how best to help them. These kinds of maps rely heavily on customer profiles or personas, because different customers will interact with different touchpoints. Where other customer journey maps will center the customer interacting with your brand, the day-in-the-life style imagines what your customers might do from when they get up to when they go to bed, and what problems or questions they may face during the day. You can use these maps to identify customer needs and create new marketing strategies.
Service blueprint map
A service blueprint map focuses on how teams deliver services. You can expand a customer journey map to identify which teams are responsible for each part of the customer experience, and specific roles, technologies, processes, or policies that each step requires. Where a customer journey map begins with the customer looking at products on your company website before going to a store, the service blueprint map includes that, and also labels which technology powers the chat, who answers questions, and which teams handle the customer in-store. These maps may depict current state, and help identify pain points for current customers, or they may show future state, helping plan how a service will ideally operate.
Current state map
A current state map is often the first customer journey map a team creates. This is a map that shows how a customer interacts with your brand today. For these maps, you will look at internal data, like website traffic sources or data showing how they move through your online storefront. This mapping process can show current pain points or customer service gaps that you can work on now. It can also highlight points of high conversions that you will want to emphasize in the future state.
Future state map
For future state maps, gather a wishlist of improvements and your team’s strategic goals and use these to plan the ideal state of customer journeys with your brand. These maps work best when compared to current state maps — the current state maps help identify areas for improvement and what is working to inform future state maps.
Article graphics + illos
I worked with the Digital Content Manager to create in-line graphics and illustrations for university articles. I read through each entry and proposed illustrations, text callouts, and/or charts that I felt could illustrate key points and visually break up the text. Additionally, these needed to be evergreen and dually useful for posting on social channels, utilizing in long-form content, sales decks, the website, etc.
Article: Composable CDP
A traditional CDP, also called a packaged CDP, stores a copy of the company’s data and dictates which audience channels can sync with that data.
A composable CDP is built on top of your data warehouse. This lets you directly activate the data you have, where you have it, to generate the insights you need. Then, you can build audiences with that data and sync them with your existing martech stack, such as CRMs, search ads, social channels, and more.
How a composable CDP works, from data ingestion to activation across destinations.
Linkedin posts in collaboration with Snowflake.
Article: Customer Data Platform
A CDP is a centralized location for customer data, helping teams manage a unified customer profile.
Primary CDP use cases.
This text graphic precedes a paragraph that explains each use case at length. It increases skim-ability by summarizing the use cases in a single glance, visually breaks up the blog text for easier reading, and works as a shareable graphic on social channels.
How packaged CDPs work vs. composable CDPs.
This chart follows a long text section in the article that explains in detail the functional differences between a packaged CDP and a composable CDP. It increases skim-ability by directly comparing and contrasting assets of each in a concise, single glance, visually breaks up the blog text for easier reading, and works as a shareable graphic on social channels.
Article: Generative Marketing
At its core, generative marketing unlocks the ability for marketing teams to launch a greater number of personalized campaigns.
The proliferation of data across various marketing tools has led to fragmented, isolated data silos.
This situation incurs extra costs for data storage and requires data teams to painstakingly piece together scattered information from these platforms. This fragmentation slows campaign launches and hampers the realization of cross-channel personalized customer journeys. Generative AI's full potential remains locked within these disparate data silos.
The rising adoption of the data cloud has eliminated some of the marketing data silos.
Generative marketing is the latest evolution on this improved marketing stack. Because it relies on the company’s single source of truth in the data cloud, generative marketing,opens up further opportunities for increased marketing effectiveness.