Author: Franz Malten Buemann

  • Do You Want to Become a Salesforce Marketing Champion?

    The Salesforce ecosystem is more than just a tech sub-industry, it’s a thriving community that encourages product evangelism by rewarding individual Trailblazers for their expertise and innovation. The Marketing Champion program does just that: recognizes the Trailblazers that advocate Salesforce marketing products. This year it’s… Read More

  • Running an experiment to test “unique” content generation. Comparing results to the same question

    I want a group of people (20-30) to type the same question into ChatGPT and compare the results that come out. In blogging, duplicate content can get penalized by Google (which we all know). Marketers are using ChatGPT to churn out blog post after blog post, and I don’t think it’s a winning strategy in the long-term. One area of concern is how ChatGPT would be able to create unique content for the same question when the question is asked in larger volume (like it would be by all the content writers in specific fields). Please type “What is SEO and what are its benefits? ” into ChatGPT and post a screenshot of what comes out. I added mine! ​ https://preview.redd.it/cdy0t4ran0da1.png?width=1720&format=png&auto=webp&s=1aa868f57841ca7ff6fa8c106753b7664f1937aa submitted by /u/here_2_learn_stuff [link] [comments]

  • Time to choose your CXMStars™ winners! Voting now open

    This year’s initiatives have been excellent. All entrants have done an incredible job. It was not easy to narrow down all nominees to just 50 finalists. But we’ve done it! The top 25 for each category has been shortlisted. However, this is not the end. We’re far from it. We need your help to rank…
    The post Time to choose your CXMStars™ winners! Voting now open appeared first on Customer Experience Magazine.

  • Introduction to the rules of Australian football: everything you need to know

    Australian football is a sports game usually played by two teams of 18 players. Points are scored either for kicking the oval ball into the central goal post, which is six points, or for kicking the ball into the central outer post, which gives a single point. Scoring the ball between the central outer post…
    The post Introduction to the rules of Australian football: everything you need to know appeared first on Customer Experience Magazine.

  • The difference between customer marketing and advocacy

    submitted by /u/sstales [link] [comments]

  • Typist/Hypist

    Not that long ago, you could make a living as a typist.

    Technology keeps changing the world.

    Now, you’re more likely to find a job doing something that seems a lot less mechanized. But that too will be programmatic soon enough.

    PS here’s an important new book about perfectionism.

  • Is this good?

    I work with helping marketing businesses get b2b appointments with prospects that are interested in their service. I am going to try a new offer and will do paid ads for it but before I do I thought maybe I can ask what owners think of the offer. Better feedback than that is probably hard to get so I hope this is okay. This is the offer: Want more guaranteed qualified appointments with warm potential clients for your marketing agency, without the headache of investing your time, burning your cash, and having no results to show for it? Pay Per qualified booked appointment only! What do you think? Would you get intrigued when you see an offer like this or what can I improve on? submitted by /u/Tim10293834756 [link] [comments]

  • How to Promote Your Blog Posts Using Email Marketing

    Ross Simmonds, CEO of Foundation Inc, advises marketers to create content once and distribute it forever. The reason is simple: the more eyeballs your content gets, the more leads it generates. While there are many ways to get your content in front of your audience, email marketing is often underutilized.  This guide will show you…
    The post How to Promote Your Blog Posts Using Email Marketing appeared first on Benchmark Email.

  • The Current State & Future of Salesforce Sales Cloud

    The Salesforce Sales Cloud holds a whopping 31.3% market share of any Sales CRM. It was the first product Salesforce created back in 1999, and it continues to outshine any Sales CRM on the market. But since the recent surge in remote work, sales have… Read More

  • The Four Types of Research Design — Everything You Need to Know

    When you conduct research, you need to have a clear idea of what you want to achieve and how to accomplish it. A good research design enables you to collect accurate and reliable data to draw valid conclusions.

    In this blog post, we’ll outline the key features of the four common types of research design with real-life examples from UnderArmor, Carmex, and more. Then, you can easily choose the right approach for your project.
    Table of Contents

    What is research design?
    The Four Types of Research Design
    Research Design Examples

    Research design involves choosing the right methodology, selecting the most appropriate data collection methods, and devising a plan (or framework) for analyzing the data. In short, a good research design helps us to structure our research.
    Marketers use different types of research design when conducting research.

    There are four common types of research design — descriptive, correlational, experimental, and diagnostic designs. Let’s take a look at each in more detail.

    The Four Types of Research Design
    Researchers use different designs to accomplish different research objectives. Here, we’ll discuss how to choose the right type, the benefits of each, and use cases.
    Research can also be classified as quantitative or qualitative at a higher level. Some experiments exhibit both qualitative and quantitative characteristics.
    Experimental
    An experimental design is used when the researcher wants to examine how variables interact with each other. The researcher manipulates one variable (the independent variable) and observes the effect on another variable (the dependent variable).
    In other words, the researcher wants to test a causal relationship between two or more variables.
    In marketing, an example of experimental research would be comparing the effects of a television commercial versus an online advertisement conducted in a controlled environment (e.g. a lab). The objective of the research is to test which advertisement gets more attention among people of different age groups, gender, etc.
    Another example is a study of the effect of music on productivity. A researcher assigns participants to one of two groups — those who listen to music while working and those who don’t — and measure their productivity.
    The main benefit of an experimental design is that it allows the researcher to draw causal relationships between variables.
    One limitation: This research requires a great deal of control over the environment and participants, making it difficult to replicate in the real world. In addition, it’s quite costly.
    Best for: Testing a cause-and-effect relationship (i.e., the effect of an independent variable on a dependent variable).
    Correlational
    A correlational design examines the relationship between two or more variables without intervening in the process.
    Correlational design allows the analyst to observe natural relationships between variables. This results in data being more reflective of real-world situations.
    For example, marketers can use correlational design to examine the relationship between brand loyalty and customer satisfaction. In particular, the researcher would look for patterns or trends in the data to see if there is a relationship between these two entities.
    Similarly, you can study the relationship between physical activity and mental health. The analyst here would ask participants to complete surveys about their physical activity levels and mental health status. Data would show how the two variables are related.
    Best for: Understanding the extent to which two or more variables are associated with each other in the real world.
    Descriptive
    Descriptive research refers to a systematic process of observing and describing what a subject does without influencing them.
    Methods include surveys, interviews, case studies, and observations. Descriptive research aims to gather an in-depth understanding of a phenomenon and answers when/what/where.
    SaaS companies use descriptive design to understand how customers interact with specific features. Findings can be used to spot patterns and roadblocks.
    For instance, product managers can use screen recordings by Hotjar to observe in-app user behavior. This way, the team can precisely understand what is happening at a certain stage of the user journey and act accordingly.
    Brand24, a social listening tool, tripled its sign-up conversion rate from 2.56% to 7.42%, thanks to locating friction points in the sign-up form through screen recordings.

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    Best for: Gathering unbiased data that reveals behaviors or recurring phenomena.
    Diagnostic
    Diagnostic research determines the root cause of a problem and finds the most effective solution. It’s often used in marketing to identify areas of improvement or potential opportunities for growth.
    The diagnostic research design consists of three steps:

    Inception, which includes data collection and problem definition.
    Diagnostics, which comprises data analysis, hypothesis testing, and setting objectives.
    Solutions, which define the best possible solution.

    In product teams, a diagnostic design would involve analyzing customer feedback and reviews to identify areas where a company can improve. This would help identify where a product offering needs to change — pricing, missing features, customer service, etc.
    Diagnostic research provides an accurate diagnosis of a problem and identifies areas of improvement.
    Best for: Understanding the underlying causes of a problem and how to address it.

    Research Design Examples
    Let’s explore how leading brands employ different types of research design. In most cases, companies combine several methods to reach a comprehensive overview of a problem and find a solution.
    UnderArmour

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    UnderArmour doubled its market share among running shoes by referring to diagnostic and descriptive research.
    The team aimed to design a breakthrough product by constantly improving their shoes in response to athletes’ real-time feedback. To do so, the company shipped free shoes to over 10,000 athletes. Using Qualtrics, the company surveyed participants for their feedback.
    Then, with all of the insights gathered, the team iterated their design. Thus, the UA HOVR™ cushioned running shoe was born.
    The resulting product received a 2019 Runner’s World Recommendation Award.
    Pro tip: Use descriptive research design to tailor your product to the customers’ needs by observing their natural behavior and addressing the feedback.
    Carmex

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    Carmex Labs worked with research company MRR to measure customers’ reactions to the lip-care company’s packaging and product. The goal was to find the cause of low sales in a newly launched market.
    The team moderated a live, online focus group. Participants were shown w product samples, while AI and NLP natural language processing identified key themes in customer feedback.
    This helped uncover key reasons for poor performance and guided changes in packaging.
    Tweezerman

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    A beauty brand Tweezerman turned to descriptive research design to track its brand health and validate product ideas.
    Tweezerman utilized SurveyMonkey Audience to collect quantitative consumer feedback and inform its global business strategy. This approach helped Tweezerland validate 10 out of 50 products and get an in-depth understanding of their audience.
    Remember: To conduct market research, all you need is to launch a simple survey with the right targeting.
    Getting Started with Research Design
    Research design is your blueprint to answer questions through collecting data. When done right, it gives granular information on an issue and informs business decisions.
    To start, map out your questions, define your problem, and think of what data you want to receive as a result. Then, choose the right research design method.
    Now you’re all set!