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Monetizing Big Data
The wealth of data at organization’s proverbial fingertips, means there’s also a wealth of opportunity to generate more revenues with insights from those data sets.
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Components of Operationalized Data Engineering
The way data engineering is approached matters. There must be prevalent and pervasive data sets for you to continuously make the most relevant data available. These five precepts allow teams to bring it all together and ensure forward momentum for the organization.
three circles with people, process and platform
3 Ps: People, Processes, Platforms
The 3 Ps of any organization refers to the people, processes and platforms used to bring the company’s vision, mission and business model to life. While the convergence of these three areas may seem simplistic on the surface, even subtle misalignments between the areas can have significant implications on the long term success of the organization. Understanding how these areas fuse together can have a direct impact on the bottom line.
an info sheet with three circles and the words achieving revenue, operation frameworks framework
Achieving Revenue Acceleration via a Revenue Operations Framework
Revenue acceleration is a complex initiative that requires a revenue operations framework to do effectively. That’s because, when things go wrong, it generally boils down to misalignments within a company’s 3 P’s — people, platforms, or processes.
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How to Create a Glass-Effect Card: Guide
Diagnostic Analytics Organisations, Analytics, Consumer Behaviour, Strategic, Cross Functional Team, Organizations, Data
Diagnostic Analytics
Diagnostic analytics are used to address a specific event in a business and answer the question, why did that just happen? These analytics allow organizations to dig deeper to uncover patterns and trends in their data. In doing so, company decision-makers can become more strategic and thus accelerate revenues while building sustainable, reliable growth.
Data Fabric Strategies, Terms, Knowledge
Data Fabric
Data fabric is a strategy used by organizations to make scattered data digestible by turning it into knowledge and insights. With the overwhelming amount of data available to organizations today, having this information easier to understand and use allows organizations to provide more positive experiences for customers and employees. As a result, businesses can drive actual business outcomes and make a bigger impact on the bottom line.
Because Generative AI leverages various inputs to form its output, the range of possible responses is much larger. Text-generating chatbots can answer customer concerns faster than waiting in a queue for a human. Blog posts can be written in seconds rather than hours using a bot to pull from all the many sources online to form the post. Generative AI can even match a person’s tone and timber of voice, making it feel like a human is talking to another human. Art, Software Development, Behavioral Psychology, Problem Solving, Customer
What’s Possible With Generative AI?
Because Generative AI leverages various inputs to form its output, the range of possible responses is much larger. Text-generating chatbots can answer customer concerns faster than waiting in a queue for a human. Blog posts can be written in seconds rather than hours using a bot to pull from all the many sources online to form the post. Generative AI can even match a person’s tone and timber of voice, making it feel like a human is talking to another human.
a man's face is surrounded by lines and dots in the shape of numbers
Digital Transformation
Digital transformation is the profound reworking of business and organizational activities, people, processes, platforms, business strategy and business models to fully leverage the digital technologies impacting consumers. This transformation has made it possible for organizations to make more customer-centric decisions, guide business evolution, and intelligently reform traditional practices.
Descriptive Analytics Motivation, Marketing Automation, Innovation Lab, Business Growth
Four Key Elements of Quality Descriptive Analytics
Descriptive analytics use historical data to answer questions and drive the decision-making process for an organization by relying on data, trends and relationships. These analytics empower organizations to create a more sustainable, predictable growth path.
Descriptive Analytics Analysis, Historical Data, Decision Making Process
Descriptive Analytics
Descriptive analytics use historical data to answer questions and drive the decision-making process for an organization by relying on data, trends and relationships. These analytics empower organizations to create a more sustainable, predictable growth path.
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User Experience (UX)
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CX Intelligence
Customer Experience (CX) intelligence pairs digital transformation frameworks with modern data collection practices to uncover insights about your customer’s motivations and behavioral triggers. This type of intelligence sets companies apart from the average ones by analyzing and executing Big Data through a more customer-centric culture.
Customer Experience Framework
A Customer Experience Framework
A customer experience is triggered across the two main parts of the brain — the limbic system, where emotional responses are felt, and the neocortex, where logical solutions are found. By understanding how the customer feels and thinks throughout the path-to-purchase and path-to-loyalty, you’re better able to deliver an experience that increases the LTV of the buyer.
the 7 stages of data looping
The 7 Stages of Data Looping
There are seven core steps to a data loop that require various key players throughout the organization.
an info sheet describing the benefits of machine learning and how to use it for your business
The 360° View of Your Customer in Action
Empathy for your customer can be infused into nearly every part of your business to drive closer alignment between what you’re creating and what the full experience the customer anticipates and expects to receive. Here are just a few of the most critical use cases for better understanding the 360-degree view of your customer.
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Neon Glass Effect in Figma| Figma Tutorial | UIUX Guruji
Hello friends, Today i'll teach you how to create a neon glass effect in figma. it's really easy to do and implemnt in your projects.
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Dark Innovation Creative Multipurpose Keynote Template
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New Glassmorphism? How to Create Neon Glass Effect UI Design
Glassmorphism is a trend that is almost everywhere in modern digital products. Glass has become one of the favorite digital materials. You may quickly learn how to create attractive glassmorphic…
the product is the experience and value curve for customers to use in their store or business
A User Insights Map Fuels Product-Led Growth
The real driver of growth isn’t adding new users to your products. It’s retaining the users once they sign up and buy. How users navigate their way through your digital ecosystem and use your product determines how likely they are to stay and make their way through your bow tie funnel to become brand ambassadors. It makes sense then, that growth stems from the product itself, rather than the marketing alone.
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The Organizational Impact of Content Mapping
The impact of content mapping goes well beyond the scope of simply serving up content to the customer. There’s a ripple effect that transcends throughout the entire organization. Bolster team buy-in; Architect event-driven funnels, Analyze the impact of your content; Path-to-purchase agile development.
Diagnostic Analytics Foundation, Employee Retention, Insight, Infrastructure
Core Elements of Data-Centric Decision Making Using Diagnostic Analytics
Using diagnostic analytics paired with a framework like StoryVesting, brands can create an infrastructure of “experience layers.” These layers then provide a foundation for establishing lasting customer relationships and building resilience and sustainability into the foundational growth model.
an info sheet describing the benefits of data - cent decision making using diagnotic analyses
Core Elements of Data-Centric Decision Making Using Diagnostic Analytics
Growth happens when companies boost retention. With diagnostic analytics, organizations can gather insights from existing customers to uncover their deep motivations and create experiences that keep them coming back time and again. Through this process, organizations get a full picture of customer behavior, allowing them to make data-backed decisions. Diagnostic analytics help you find the root cause of customer behavior and align core offerings with the needs and wants of the market.
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Digital Transformation Impacts Organizations Across the Board
It might seem counterintuitive to think that the 360° view of your customer can impact employee experience. Truth be told, the two are more intertwined than most organizations give credence to. When you and your team can understand what’s happening in the customer’s experience and mindset, problems can be proactively addressed or resolved faster. In keeping customers happier, employees can feel the impact of their work on a deeper level while simultaneously avoiding unnecessary conflict.
Business Impact Analysis Data Mining, Predictive Analytics, Growth Marketing, Data Map, Business Impact
An Experiential Strategy to Fuel Growth
It’s often assumed that tracking growth starts with tracking metrics alone. While metrics are informative, solving problems requires more than monitoring outputs. Instead, it relies on getting out ahead using a business impact analysis to fuel growth, so you can then better understand what’s happening when you visualize and track these core growth, retention, and operational metrics.
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360 Degree View of the Customer
360 Degree View of the Customer refers to the compilation of all the data about a customer in one place – connecting the dots between online behavior, offline behavior, thoughts, preferences, transaction data, etc. in a single view of the customer experience. At RocketSource, we extend this concept to include employees as well. In doing so, we’re able to better understand the employee experience as it relates to the organization’s deliverables to align the business with the customer.
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Simplifying the Complex by Becoming More Data-Centric
The term data-centric refers to an organization using data as the primary and permanent asset for decision-making. As a data-centric enterprise, employees lean on data to validate hypothesis and inform transformational efforts. Data-centric organizations leverage data to inform, assess and temper their assumptions to guide decision-making.
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Data Looping
Data looping is a systematic way to collect information, pull out insights and put those insights into motion. In this process, companies design systems to gather data and model, mine, aggregate, and visualize the insights obtained. Similar to a feedback loop, this process is ongoing.