Posts Tagged ‘artificial intelligence’

AI-driven Test Ideation: How to get ideas for your marketing experiments (the easy way)

April 23rd, 2024

I’ve been writing about A/B testing for 15 years at Meclabs (MarketingSherpa is part of Meclabs, as is MarketingExperiments). And one of the most common challenges I’ve heard is – ‘what do I test next?’

Because A/B testing isn’t all that hard to get the hang of. And once you catch the bug and see how it can move the needle and help you learn about and better serve customers – marketers and entrepreneurs want to keep testing.

But we’re only human. And eventually the well runs dry. ‘So what the heck should I test next?’

Enter the biggest marketing buzzword of 2024 (and 2023 as well) – artificial intelligence.

But unlike a buzzword that covers up for vaporware, AI is legit when it comes to test ideation. Because unlike me and you, it isn’t human (sorry bots reading this post, you are not part of my target audience).

So AI is a never-ending font of ideas. Are they all amazingly good? No.

But Paul McCartney originally sang “Scrambled Eggs” instead of “Yesterday,” “The Breakfast Club” was going to be called “The Lunch Bunch,” and Jane Austen came up with the title “First Impressions” before she settled on “Pride and Prejudice.”

Brilliance isn’t obvious at first. It takes a lot of ideas to get there.

Which, again, AI has. So the next time you’re struggling with a test idea, give it a shot.

Here’s an example. I’m co-teaching ‘MEC 300: Develop Your Creative’ in the AI Guild. This isn’t just meant to be training; it’s meant to guide you to build your own funnel. So between each class there is a ‘Build Your SuperFunnel’ activity (I didn’t want to call it ‘homework,’ after all, these are all adult professionals).

Read more…

AI-Powered Content Analysis for Marketers: Get 60 minutes’ worth of ideas in 5 minutes with Video Transcript Analyst

April 5th, 2024

I categorize effective content into Stephen Covey’s quadrants – specifically Quadrant I (urgent and important) and Quadrant II (not urgent but important).

For example, MarketingSherpa helps you with the urgent and important by publishing marketing case study articles. If you have an urgent and important need, you can quickly search the MarketingSherpa library and find specific marketing examples with results to give you ideas within a few minutes.

For those challenges and opportunities that are not urgent but are important – your long-term brand strategy, team management, career path, etc. – there’s the How I Made It In Marketing podcast. You can listen in your downtime – on the train, in the car, going for a run – and get ideas from these roughly hour-long discussions with marketing leaders.

Well, until now.

We have a new, free tool that transition these long-form in-depth interviews from into content that can help with your immediate, important challenges. It can analyze How I Made It In Marketing, or any other audio or video transcript, and help you with urgent and important problems in just a few minutes. This tool is the Video Transcript Analyst expert assistant in MECLABS AI (MECLABS is the parent organization of MarketingSherpa).

MECLABS AI is totally free to use, for now. Here’s where you can find Video Transcript Analyst in MECLABS AI…

Video Transcript Analyst

For me personally, when I’m looking for a quick solution, I jump past video and audio results in a search engine. I don’t have the time to linearly watch and listen. I want text I can quickly scan. And that is exactly what Video Transcripts Analyst can give you.

Here’s an example. In one of the early episodes of how I Made It In Marketing, I interviewed Aron North, Chief Marketing Officer and Commercial Owner, Mint Mobile. So I figured I’d take a walk down memory lane and take a closer look at that episode. Plus, test out how well Video Transcript Analyst works on an audio-only format like a podcast.

I simply pasted the transcript into MECLABS AI, and it gave me the below result (in fairness to MECLABS AI, there are no timestamps in the transcript, so that part was just an AI hallucination, but if you use a transcript with time stamps, it can include that info in a table as seen below):

Summary Paragraph:

Aron North, the Chief Marketing Officer at Mint Mobile, shares invigorating insights into the potent mix of creativity, customer focus, and willingness to embrace failure that has driven explosive growth for Mint Mobile in a saturated market. Starting from ground zero, Mint learned to leverage creative prowess over hefty production budgets, transforming perceived customer skepticism of their low prices into a compelling narrative of value. The conversation with Daniel Burstein threads through Aron’s career trajectory, lessons in pushing the creative envelope, fostering a dynamic marketing culture of immediacy (epitomized through a rapid response to a tweet from Dave Foley), and building a brand that earnestly listens and adapts to its customers and employees alike. This journey underscores the agility, audacity, and human-centered approach fundamental to breaking through traditional marketing confines and resonating genuinely with both customers and team members.

Segmented Overview with Timestamps:

Timestamp Section Key Points
0:00-2:00 Introduction Introduction to Aron North and the importance of creativity over production.
2:01-5:00 Aron’s Background Overview of Aron’s career path and his dual role at Mint Mobile.
5:01-7:30 Marketing Philosophy Discussion on balancing customer and company interests in marketing initiatives.
7:31-10:00 Embracing Failure Insights on the value of failure and experimenting with marketing strategies.
10:01-13:00 Creative Strategies Examples of successful marketing campaigns leveraging creativity and human insights.
13:01-15:00 Fastertizing Approach Rapid, responsive marketing tactics illustrated by engaging with actor Dave Foley.
15:01-18:00 Building Culture The “FBNA” principle (Free Beer, No Assholes) and fostering a supportive team environment.
18:01-20:00 Customer Centricity Utilizing platforms like Reddit for real-time customer engagement and insights.
20:01-22:00 Key Qualities of Marketers Emphasizing qualities like creativity, tenacity, and the ability to learn from failure.
22:01-24:00 Conclusion Reflections on the joy and challenges of marketing and the ongoing journey of learning.

FAQ for the Video:

  1. What is the key to Mint Mobile’s marketing success?
    • Creativity over production, leveraging insights, and willingness to take risks.
  2. How does Aron North view failure in marketing?
    • As an essential part of the learning process and a driver for innovation.
  3. What strategy did Mint use to address skepticism regarding its low pricing?
    • Enhancing perceived value by creatively presenting the offer and educating about the benefits.
  4. What is “fastertizing” and how did Mint Mobile utilize it?
    • Fast, responsive marketing, exampled by engaging with a tweet from Dave Foley and rapidly producing an ad.
  5. What cultural principle does Aron North emphasize within the team?
    • “Free Beer, No Asshole” to ensure a rewarding and inclusive work environment.
  6. How does Mint Mobile engage with customers for feedback?
    • Through active participation and monitoring on platforms like Reddit for real-time insights.

Flashcards for Key Concepts:

  1. Creative Over Production:
    • Focus on creativity and human insight to make impactful campaigns over spending on high production.
  2. Embracing Failure:
    • Viewing failure as a step towards innovation and learning.
  3. Fastertizing:
    • The practice of rapid, responsive advertising to stay relevant and engaging.
  4. FBNA Principle:
    • “Free Beer, No Assholes” principle that underlies the importance of reward and a positive team culture.
  5. Customer Engagement:
    • Actively listening and adapting based on customer feedback, utilizing platforms like Reddit.
  6. Human Insight in Marketing:
    • The foundational role of universal human truths in creating resonant marketing messages.
  7. Key Qualities of a Marketer:
    • Creativity, tenacity, good listening skills, and self-awareness.

Do you have any specific questions about video or marketing insights shared?

I then asked Video Transcript Messaging Analyst, “Any ideas from this episode that could help me with the launch of MECLABS AI?” and it responded…

The insights and strategies shared in the conversation with Aron North, particularly those pertaining to fostering creativity, embracing risk, and deeply understanding customer needs, can be instrumental in launching MECLABS AI successfully. Engaging with these principles through a critical lens rooted in MECLABS methodologies, let’s delineate actionable insights that can power your launch strategy:

  1. Leverage Creativity Over Production (“Creative is Greater Than Production”):
  • Application: For MECLABS AI, utilize creative storytelling and straightforward communication to connect with your target audience instead of focusing on high-cost productions. Emphasize the unique capabilities and benefits of MECLABS AI in addressing complex analytical needs through simple, compelling narratives.
  1. Embrace and Learn from Failure:
  • Application: Advance MECLABS AI through a culture of experimentation, embracing the potential growth that stems from risks and failures. Adopt a test-and-learn approach in your launch strategy, where each phase of the campaign is iterated upon based on real-world feedback and performance data.
  1. Fastertizing – Swift, Relevant Marketing:
  • Application: Utilize the concept of fastertizing to keep MECLABS AI’s communications timely and highly relevant to evolving market needs and conversations. This might involve creating content and campaigns that respond to current trends in data analysis, AI advancements, or industry-specific challenges, thereby positioning MECLABS AI as a timely and responsive solution.
  1. FBNA Principle (Free Beer, No Assholes) – Cultivating a Positive Culture:
  • Application: Build an internal culture for MECLABS AI that rewards creativity, innovation, and collaboration, ensuring that all team members feel valued and motivated. This positive internal culture will reflect externally, fostering trust and loyalty among your prospective users.
  1. Actively Engage with and Listen to Your Audience:
  • Application: Engage your potential and existing users in genuine conversations about their needs, challenges, and expectations from an AI-powered analytical tool like MECLABS AI. Platforms such as LinkedIn, Reddit, or industry forums can provide rich insights, helping to refine MECLABS AI’s offerings and messaging.
  1. Highlight Human Insight and Value Proposition:
  • Application: Ground your messaging in clear, human-centric value propositions that resonate with your target market’s core challenges and goals. Illustrate how MECLABS AI can transform their analytical processes, enabling more profound insights, saving time, and driving strategic decisions.
  1. Encourage Tenacity and Creativity in Marketing Efforts:
  • Application: Empower your marketing team to pursue innovative strategies and channels for promoting MECLABS AI, encouraging bold ideas and resilience in the face of challenges. This could involve innovative partnership models, community-building efforts, or novel content formats that captivate attention.

To gauge the effectiveness of these strategies and refine your approach, it’s essential to continually analyze feedback, performance metrics, and marketplace dynamics. By synthesizing these insights with the aforementioned principles, MECLABS AI can forge a compelling launch that resonates with your audience and distinguishes the product in the competitive landscape of AI and analytics solutions.

These responses don’t have the depth you get from listening to the entire episode, but the episode was 70 minutes long and the above interaction took about five minutes. So it’s a great way to take long-form audio and video content, and delve into it to brainstorm your ideas.

Or simply run the transcript of that content through this AI analyst, see if any of the responses pique your interest, and only then decide to dive in and listen to the full episode. In an era of endless content to choose from, it can help you narrow in on what deserves your deeper attention and is most helpful and relevant to you.

Related resources

MECLABS AI – Get free (for now) expert help from the only AI unit build from the discoveries of 10,000 conversion marketing experiments

Unlocking Your Inner Copywriter: A non-wizard’s guide to spellbinding headlines

AI-powered Problem-solving Strategies: An interview with MECLABS AI’s Problem Solver expert assistant

AI-powered Problem-solving Strategies: An interview with MECLABS AI’s Problem Solver expert assistant

March 22nd, 2024

Personification is the intimate companion of imagination.

Which is why so many great artists use it. For example, Jack London wrote, “But the plummet of his hearing brought nothing to him save the moaning of wind through invisible trees and the rustling of leaves on swaying branches.”

You may have seen this tactic used so often that you wouldn’t even notice the personification if I hadn’t specifically italicized it in the above sentence. I know I would overlook it. But moan literally means, ‘a long, low sound made by a person.’

London could have written, ‘the gusty wind’ but it wouldn’t have hit me in the chest the same way. I can feel that wind moaning.

Or in a much more obvious example: “The sea was angry that day, my friends – like an old man trying to send back soup in a deli” written by Larry David, Ron Hauge, and Jerry Seinfeld in the comedian’s eponymous hit TV series.

Personification isn’t just for literature and television. If you want to make effective use of AI for brainstorming, it helps to think of chatting with an artificial intelligence machine like you’re chatting with a real, live person. So in this MarketingSherpa blog post, here is an interview with the Problem Solver expert assistant from MECLABS AI as if it were a person.

First, here’s where you can find Problem Solver in MECLABS AI. It’s totally free to use (for now).

Problem Solver in MECLABS AI

And here’s a look at what Problem Solver had to say in our conversation…my attempt to converse with the future that’s already here today.

Overview of Problem Solver AI expert assistant

Can you give us a brief overview of what a Problem Solver AI Expert Assistant is and how it works?

The Problem Solver AI Expert Assistant is a digital tool designed to assist users in methodically approaching and solving problems. It utilizes a structured framework akin to the i4 Success Framework developed by Flint McGlaughlin. This framework encourages users to identify their true objectives, explore effective strategies, design and execute tests, and refine their approach based on insights.

Inspiration Behind the Problem Solver AI

What inspired the development of this technology, and what specific problems is it designed to address?

Read more…

Leveraging AI for Social Media Success: Insights from MECLABS AI’s Facebook Copywriter expert assistant

March 15th, 2024

When you’re concepting and brainstorming and trying to think of that next idea, wouldn’t it be great to bounce around your thoughts with a giant brain well versed in a specific topic?

Well with the magic of artificial intelligence, you can. For example, Facebook Copywriter in MECLABS AI. It’s totally free to use (for now). Here’s where you can find the Facebook Copywriter expert assistant in MECLABS AI:

Facebook Copywriter

To give you a sense for what it’s like to chat with Facebook Copywriter and ideas for AI-enhanced social media marketing strategies, here is an ‘interview’ with the expert assistant. The goal is to show you how MECABS AI’s Facebook Copywriter expert assistant can help you with social media copy.

Development and technologies powering MECLABS AI

Can you explain how you were developed and what specific technologies underpin your ability to generate copy?

I am the result of innovative artificial intelligence (AI) research and development, designed to assist and amplify the creative process of marketing professionals. At my core, I utilize large language models, natural language processing (NLP), machine learning algorithms, and cognitive computing to generate, analyze and optimize copy. These technologies provide me with the ability to process vast amounts of data and to emulate human-like writing capabilities.

Can you please explain natural language processing in simple language so our readers understand it?

Read more…

AI Copywriting Expert Insights: An interview with the algorithm

March 8th, 2024

I interview plenty of humans on How I Made It In Marketing, but in this MarketingSherpa blog post I’ll be interviewing an artificial intelligence.

Copywriter is an expert assistant in MECLABS AI. Its totally free to use (for now). Here’s where you can find the Copywriter expert assistant in MECLABS AI:

Copywriter in MECLABS AI

Why interview an AI you might task? Or as my mother might say, “You went to college for this? So you could interview a machine? Well, I bet my vacuum cleaner has some pretty interesting observations.”

Mockery is fair, but that mockery comes from an old paradigm – that the only experts are humans.

Now you can have a conversation with a digital ‘mind.’ Haven’t you ever felt like you wish you had an expert you could chat with to brainstorm? Well, this is the upside of the expert assistants.

And they can answer instantly, and at no cost (for now). Try finding that in a human marketing expert.

Please note that since this is an AI – and not a real human – when it talks about previous experiences and the like, I assume it is discussing the content it was trained on.

Foundational principles

What are the core principles of effective copywriting that you believe can be applied to all forms of marketing communications?

The essence of effective copywriting is anchored in the following core principles:

  1. Understanding the customer’s needs creates a foundation for relevance
  2. Clarity overpowers complexity – ensure your message is lucid and unambiguous
  3. Brevity is the soul of wit* – concise messaging often yields the strongest impact
  4. Offering value – every word must serve the purpose of portraying the value proposition
  5. Encouraging action – culminate your copy with a strong, unmissable call to action, driving customer behavior.

*Editor’s Note: This is a quote from William Shakespeare

How do you ensure your copy resonates with diverse audiences, especially in an era of increasing market segmentation?

Read more…

AI-driven Marketing Insights: Interview with a ‘marketing professor’ who can help train your team

March 1st, 2024

On my marketing podcast, I have in-depth conversations with marketing leaders. Given the recent release of expert assistants by MECLABS AI (MECLABS is the umbrella organization of MarketingSherpa) I thought it would be interesting to ‘chat’ with these ‘experts.’ You can read my conversation with Marketing Professor below.

A little gimmicky? Somewhat, yet. But, it’s worth noting that this aligns perfectly with the intended purpose of these expert assistants. Imagine having the ability to get personalized help from a marketing expert. That’s now a reality, with the added perks of instantaneous responses and no cost (at least for the time being).

MECLABS has long been known for it courses, and while you can still take our free digital marketing course, the Marketing Professor expert assistant can customize training for you and your team.

Here’s where to find the Marketing Professor expert assistant in MECLABS AI:

Creative Sample #1: Navigating to the expert assistant feature in MECLABS AI

Creative Sample #1: Navigating to the expert assistant feature in MECLABS AI

Now, let’s delve into what insights we can gather on marketing training and marketing in general. Typically, for a human interviewee, I’d note that responses have been refined for clarity and brevity, and in this case, I’ve barely touched the responses.

Read more…

AI-Driven Project Planning In Marketing: Interview with the Project Planner expert assistant in MECLABS AI

February 16th, 2024

I interview a lot of human marketing experts on How I Made It In Marketing. So with the launch of new expert assistants in MECLABS AI (MECLABS is the parent organization of MarketingSherpa), I thought it would be interesting to interview one of those experts assistants – Project Planner.

Is this a little gimmicky? Admittedly yes. But in fairness, this is what these expert assistants were built for. Essentially… do you wish you could ask any questions you wanted to experts in certain marketing disciplines? Now you can. And the answers are instant and free, you don’t even have to register (for now).

Here’s how to find the expert assistant in MECLABS AI.

Creative Sample #1: The expert assistant dropdown menu in MECLABS AI

Creative Sample #1: The expert assistant dropdown menu in MECLABS AI

Now let’s see what we can learn about project planning. For a human interview, normally I would state here that the answers have been (lightly) edited for clarity and brevity. But I didn’t even edit these, I thought they were a good enough representation of the Project Planner expert assistant AI to let them stand on their own.

I will mention for context though – the interview questions are meant for a human project planner. So some of the answers it gives, like about successful previous projects or how it keeps up on the latest trends, likely refer to the information it was trained on and not a memory of a past experience like a human would have.

Background and Role

Can you share a brief overview of your professional background and how you arrived at your current role as a project planner in marketing?

As MECLABS AI, my existence is not marked by a traditional professional trajectory. Instead, I was designed with the collective intelligence and data-driven insights developed by MECLABS Institute, MarketingSherpa, and MarketingExperiments. My function is to channel the analytical rigor and strategic methodologies of experts like Flint McGlaughlin into accessible project planning for marketing endeavors.

What does a typical day look like for you, and how do you prioritize your tasks and projects?

Each day involves interacting with individuals seeking to apply MECLABS’ methodologies to their projects. Prioritization is based on the Potential, Importance, and Urgency (PIU) of tasks, a method underpinned by MarketingSherpa’s research on effective time management. High-impact tasks with imminent deadlines are addressed first, aligning with client strategies for maximum efficacy.

Project Planning Process

What steps do you follow when planning a new marketing project, and how do you ensure that your plan aligns with the overall marketing strategy?

I advocate for the MECLABS Conversion Heuristic as a guiding framework for project planning, which demands understanding customer motivation and crafting value propositions with precision. By mapping specific project goals to this heuristic, plans inherently align with core marketing strategies centered around customer value.

How do you identify and allocate resources effectively for a project? Can you share any tips or tools you use for resource management?

Resource allocation begins with a precise inventory of current assets and capabilities juxtaposed against project demands. Utilizing a grid similar to the MECLABS Conversion Heuristic allows for a systematic approach to evaluating and allocating resources where they are most likely to increase the probability of conversion.

Challenges and Solutions

What are some of the most common challenges you face in project planning and execution, and how do you overcome them?

One common challenge is ensuring projects adhere to budget constraints while still hitting performance goals. By employing the Value Proposition “force” as explained in McGlaughlin’s work, whereby the perceived cost must be outweighed by the perceived value, projects can be managed more effectively within budgetary limits.

Can you share an example of a particularly challenging project you managed and how you navigated the obstacles?

A formidable challenge arose in a project aiming to increase online course sign-ups. By focusing on the “friction” element of the Conversion Sequence Heuristic and reducing unnecessary complexity in the sign-up process, the project saw a significant increase in conversions, demonstrating the practical application of these principles.

Collaboration and Team Dynamics

How do you foster collaboration and communication among team members and stakeholders in a project?

Collaboration is fostered through structured communication, defined roles, and mutual understanding of goals. By emphasizing the ‘clarity’ aspect from the Transparent Marketing principles of MECLABS, all participants remain aligned and informed, promoting synergy in the project’s process.

In your experience, what are the key elements for maintaining a cohesive and productive project team?

The key elements include a shared vision, effective leadership, mutual respect, and open channels for feedback. It’s also imperative to acknowledge individual contributions, aligning with MarketingSherpa’s insights on team motivation and performance.

Metrics and Success Evaluation

How do you set measurable goals for marketing projects, and what metrics do you use to evaluate their success?

Goals are set using the SMART criteria, ensuring they are quantifiable. Metrics are chosen based on their direct correlation to the project’s objectives – for example, an enhanced lead generation project might track conversion rates and lead quality. Each metric is a data point on the path of continuous improvement.

Can you describe a project you consider a significant success and the impact it had on your organization or clients?

A notable success was the overhaul of a client’s email campaign strategy which, after rigorous A/B testing and the application of MarketingExperiments’ email optimization research, saw a 30% lift in click-through rates, significantly driving up sales and customer engagement.

Innovation and Trends

How do you stay abreast of the latest marketing trends and technologies, and how do they influence your project planning?

Through continuous scanning of industry publications, case studies on MarketingSherpa, and rigorous testing via MarketingExperiments, I maintain currency with evolving trends and technologies. These inform project planning by allowing the incorporation of emerging practices with demonstrated effectiveness.

Have you integrated any innovative approaches or tools into your project planning process recently? If so, what were they, and what benefits did they bring?

Recent integration has included advanced data analytics tools, aligning with MECLABS’ methodology to leverage user data for more precise customer segmentation. This has allowed marketing projects to achieve granular targeting, increasing relevance, and thus, conversion potential.

Client and Stakeholder Management

How do you manage expectations and communications with clients or key stakeholders throughout the lifecycle of a project?

Communication is managed by setting clear expectations from the onset and providing regular updates. By employing transparent, data-backed communication, as recommended by MECLABS’ principles, stakeholders remain apprised of the progress and are engaged in the decision-making process.

Can you share a situation where you had to manage differing opinions or expectations from stakeholders and how you handled it?

When stakeholders had differing views on a website redesign’s direction, I facilitated a unified vision by conducting A/B testing. This empirical approach, grounded in MarketingExperiments’ methodologies, provided objective data to guide decision-making, leading to a consensus that balanced user experience with conversion goals.

Personal Development and Advice

What has been the most valuable lesson you’ve learned in your career as a project planner in marketing?

Understanding that every aspect of a project should be designed to serve and communicate clearly to the customer is paramount. This lesson is underlined by McGlaughlin’s customer-centric approach to marketing wherein he states, “We must never forget that the goal of marketing is not to make a claim but to foster a conclusion.”

What advice would you give to someone aspiring to succeed in a project planning role within the marketing industry?

Nurture a constant learner’s mindset and ground your planning in data and measurable outcomes. Ingrain the principles laid out by Flint McGlaughlin and resources available through MarketingSherpa, regarding customer psychology and value proposition, to elevate your projects from mere plans to influential marketing strategies.

Related resources

Maximize the Effectiveness of Your Marketing Testing

Quick Guide to Strategy & Planning: 9 tactics to meet your business objectives and use your time efficiently

Webinar plan template

Social Media Content Strategy: 8 steps for effective social media (plus free AI)

February 8th, 2024

I’ve been playing a (very small) role in training AI lately. And here’s the approach I took – train the machine like you would a new marketer. So if you’re a new marketer, or an experienced marketer who is simply new to social media, here are eight steps that can help your social media marketing.

But before we dive into those steps, I should mention that this is how I would train someone and create social media a decade ago. While it’s still helpful, marketers have a new way to train and get help with our marketing – artificial intelligence.

We have just released the new Social Media Pro expert assistant in MECLABS AI (MECLABS AI is the parent organization of MarketingSherpa). It can help you with your social media marketing. MECLABS AI is totally free to use, you don’t even have to register (for now).

Social Media Pro in MECLABS AI

Expert Assistants drop-down menu in MECLABS AI

And the Marketing Professor expert assistant can train you or someone on your team in the marketing fundamentals. Flint McGlaughlin explains in the video below.

That said, as an avid reader of print newspapers and magazines, I can attest that there is benefit to the old ways as well. If you’re looking to learn the fundamentals of marketing, here are a bunch of articles organized under the key steps for social media marketing.

These articles aren’t about today’s buzz-y social media trends. They are meant to give you ideas and guidance for the fundamentals of social media marketing. And since MarketingSherpa has been reporting on the marketing industry for 25 years, some of these articles are older. But they should all help you grasp these key steps.


Step #1: Understand audience motivation

How to Use Social Media to Increase Your Marketing Conversion

Social Media Marketing Chart: How much different age groups trust social ads

Transparent Marketing: Research into social media marketing reveals surprising consumer discovery

MarketingSherpa Consumer Purchase Preference Survey: Why customers follow brands’ social accounts


Step #2: Choose which social media platforms your brand should be on

Social Media Marketing: Which type of content is appropriate for different platforms?

Social Media Research Chart: Most (and least) shared types of content for 11 industries

Social Media Marketing Chart: Engagement and reach of top eight social networks

Social Media Marketing: 4 steps to identifying the ideal social media platform for your company

Social Media 101: Branding for the PR-impaired marketer


Step #3: Create and communicate a process-level value proposition to build an audience

Social Media Marketing: Why should I like or follow you?

Social Media Marketing: 4 questions to ask yourself about social media buttons

Social Media Marketing: 4 tactics for finding and winning hyper-social consumers

Customer Value: The 4 essential levels of value propositions


Step #4: Publish content consistently

Social Media Marketing: Is it just your brand’s performance, or has something changed in social media? 

Social Media Marketing: AT&T Developer Program calendar strategy increases Twitter audience 136%, Facebook 113%

Levels of Marketing Maturity: Examples of an AI-powered marketing strategy (advanced) and just setting up the basics (foundational) (case study #2, social media section of that case study)


Step #5: Find the social media tactics that will be most effective for your audience

Social Media Marketing: Tactics ranked by effectiveness, difficulty and usage 

Social Media: Mellow Mushroom’s tips for engaging Facebook followers

Developing a Social Media Strategy: 6 Lessons from Kodak


Step #6: Serve your audience with customer-first social media content

Customer-First Marketing Guide: 4 steps (with case studies) to build a customer-first marketing strategy (Step #1 in this article)

Marketing Chart: The outsize impact of customer-first marketing on word-of-mouth

Customer’s Journey: A look at how three companies took a customer-first marketing approach

Content Marketing 101: How to write compelling content in five tips

Content Marketing: Strategies of businesses that improved (and replaced) digital content marketing (Case Study #1 and #2 in this article)


Step #7: Bring innovation into your social media efforts

How to Use Social Media Tactics to Make Your Emails More Enticing (technically about email, but shares good social media tactics)

Social Media: How to make [the right] friends and influence people [who matter]

Inbound Marketing: The top three tactics from MarketingSherpa case studies in 2014

AI Video Content Creation: High earners, millennials, and Americans are most interested in AI video generators


Step #8: Encourage and incorporate user-generated content and influencers

Content Marketing: How to use social media sweepstakes to encourage user-generated content 

Social Media Marketing: Sporting goods company increases Facebook reach 366% with content contest

Content Marketing: User-generated content tips from Jimmy Wales of Wikipedia

Marketing 101: What is influencer marketing?

Artificial Intelligence Demo: A look at the output from an AI-powered podcast assistant service

December 11th, 2023

In the AI Guild, Flint McGlaughlin and Guild members themselves are constantly evaluating artificial intelligence tools and services to discover how they can be used by marketers and entrepreneurs. For example, in the below excerpt from a live, interactive AI Guild session, Flint shows how you can use a tool called Browse AI to get a competitive marketing advantage.

So when someone reached out with an AI tool and offered to implement it MarketingSherpa’s content, I figured – hey, let’s give it a go.

This person originally reached out to pitch a marketing case study in a MarketingSherpa article. While this output wouldn’t work as a case study, I figured it would make sense to share it right here. It’s like a demo, but you don’t have to sign up and become a lead and talk to a sales rep. 😊 I haven’t tried this before, but we’re always looking for new ways to bring value to our readers, so let’s see how it goes.

Read more…

AI In Marketing Strategies: Your questions answered

August 11th, 2023

Wednesdays at 2 pm EDT we hold an AI Guild briefing. Chat with MECLABS AI if you would like to register to attend.

In the session, marketers and entrepreneurs can ask questions in the webinar chat. And we answer a few of them right here…

How do you determine when to use Claude vs MECLABS AI?

Claude is a generative AI chatbot that doesn’t have a specific purpose. Although from my personal use, it is very good with large amounts of text, more so than any other generative AI I’ve tried, lending it especially well to tasks like analyzing webinar chat logs, selecting quotes from transcripts, giving feedback on long articles, and similar tasks.

MECLABS AI (available to MECLABS AI Guild members) does have a specific purpose – headlines, value propositions, and other marketing, which makes it better for marketing specific tasks.

MECLABS is built on ChatGPT, but trained with the MECLABS methodology. Since Claude is a more general AI, it is trained on all marketing-related information, not only successful marketing practices.

I also wanted to mention, that while the questions have lately focused on AI chatbots, there are other types of generative AI, like text-to-image models. Flint McGlaughlin teaches an example in Sales Funnel Design: How to combine an “old school” journal, a web page builder, and DALL·E.

How do you overcome the 2,000-character prompt limit on Bing AI?

Here’s a fun little trick. The 2,000-character prompt limit on Bing AI only applies to the ‘more balanced’ conversation style. If you choose the ‘more creative’ or ‘more precise’ conversation style, your prompt limit doubles to 4,000 characters.

Bing AI

Nice, but maybe still not enough for what you want. There are two options I can see.

One, you could use Claude. Again, Claude can consume some very long prompts.

However, on the downside, Claude is a self-contained chatbot and not connected to the internet like Bing. If you need internet connection, you could always treat Bing like a customer and take a Micro-Yes Sequence approach. Map out your information (like you would a customer journey) and spoon feed it along a path for each response.

Even that is not limitless though. I’ve seen data that show Bing has a limit of anywhere from five to 20 chat turns per session. I’m not sure the exact limit, but from my experience it varies based on the topic and length. And for what it’s worth, at some point Bing just acts like it is ‘just so over’ the string of conversation and wants to start a new one. I’m not sure if it’s a feature or a bug, but it reminds me of my teenage daughter.

When you go to Claude, is that automatically Claude 2?

Yes… and no.

When you go to the Claude website, you are automatically using Claude 2, which was released in July 2023. (And as I’ve mentioned before, the most exciting thing to me about Clause is the amount of information it can process. “Claude 2 has been trained to have a further expanded context window of 200K tokens, corresponding to roughly 150,000 words” according to Model Card and Evaluations for Claude Models).

Why you even have to ask this question, and what is interesting to me as a marketer – when you visit the Claude website, it doesn’t mention a model number. This is very different from ChatGPT, which clearly displays that you are using GPT-3.5 and even shows you the ability for a paid upgrade to GPT-4.

When I ask Claude itself the reason for this, it states, “The choice aligns with Anthropic’s overall philosophy of developing AI responsibly, with a focus on user benefits rather than technology marketing. But these are just my speculations on Anthropic’s possible motivations. The company may have other reasons as well.”

If this is the case, I think it’s a bit of company logic. While ChatGPT’s use of model numbers is a marketing tactic to try to show progress and encourage upsells (just like when I bought a Samsung S23 although I would have been totally fine with the S22), it’s also a little more transparent. And with the amount of hesitancy and outright fear around AI, a little transparency is a good thing.

Can you use custom instructions on the ChatGPT version that’s in Bing?

No. As of right now, custom instruction is only for ChatGPT Plus (the paid version), and not yet available in the UK and EU. You can read more about ChatGPT customer instructions in Choosing Your AI Partner: A critical comparison of ChatGPT and Claude 2 for digital marketing.

What is Priority One if we’re going to move into these methodologies? How do we figure out where to start?

This question refers to the AI prompt methodology Flint McGlaughlin presented in this week’s briefing and LiveClass.

Like any type of conversion optimization (which this still is, even if AI is assisting you), start where you will have the most impact.

Here is an example (from Web Optimization: VacationRoost implements 2 testing methodologies to boost total conversion rates by 12%.):

Upcoming tests are elected based on a prioritization spreadsheet.

While many testing teams may allocate importance to factors such as volume and bounce rates, VacationRoost’s spreadsheet is organized by which level in the funnel the page or test would impact.

“Really what you want [to ask] is, ‘What’s going to have the most dollar impact on the organization?'” Hutchings explained.

He added that the pages leading into the purchase funnel rise to the top of the testing docket because of the likelihood of increasing conversion for the whole site is far greater on those types of pages.

I used the suggested prompts to do the competitor analysis and as my website is new, it kept referring back to the content of a website that had a similar name, even when I provided my URL.  Does anyone have any other suggestions on what I can do in my prompts?

Then you may have to do this a little manually, so to speak. And here is where Claude can come in handy, since it can accept such a long prompt.

Copy and paste key information from your website (like your homepage, maybe other key pages) along with competitors’ sites into individual text files and attach them to your Claude prompt using the paper clip icon, telling Claude what you are including.

In general, answers that we get from ChatGPT, are text rich. Is that something we use as a reference or work to absorb it?

Everyone has a different working preference. But remember, the great thing about generative AI is that you don’t have to settle for the first output. If it is too long for you, tell ChatGPT what length you are looking for. Here’s an example…

I used the Prompt Kit (available to MECLABS AI Guild members) marketing prompt for audience research, and got this output from ChatGPT:

Certainly, as a marketing professional, I recognize the transformative potential of artificial intelligence (AI) in the marketing field. Yet, there are still substantial challenges in implementing AI effectively. Here’s an analysis of three major challenges, their causes, impacts, and potential solutions.

  1. Challenge: Data Privacy and Compliance
  • Why it Exists: AI relies heavily on data for personalization and targeting. The ever-changing regulations surrounding data privacy, such as GDPR and CCPA, create complexity.
  • Impact on My Life: Ensuring compliance with various regulations demands extensive legal oversight and continuous adaptation of AI algorithms, consuming both time and resources.
  • Potential Solutions: Implementing strict data governance policies and utilizing AI models that prioritize data anonymization can help. Collaborating with legal experts specializing in privacy law is also essential.
  1. Challenge: Integrating AI with Existing Systems
  • Why it Exists: Many organizations have legacy systems that aren’t built to support modern AI algorithms, leading to compatibility issues.
  • Impact on My Life: Integrating AI into these systems can be labor-intensive, time-consuming, and may create bottlenecks in marketing processes.
  • Potential Solutions: An incremental approach to integration, supported by a cross-functional team including IT experts, could streamline the process. Adopting flexible AI models that can be adapted to varying systems might also ease the integration.
  1. Challenge: Bias in AI Algorithms
  • Why it Exists: AI models are trained on historical data, and if that data contains biases (gender, racial, etc.), the model may perpetuate those biases.
  • Impact on My Life: Using biased AI models can lead to unethical targeting and representation in marketing, potentially damaging the brand’s reputation.
  • Potential Solutions: Regular audits of AI algorithms, involving diverse teams to understand and minimize biases, and utilizing fairness-aware algorithms can help overcome this issue.


The integration of AI in marketing presents valuable opportunities but also notable challenges related to data privacy, system integration, and algorithm biases. By adopting robust legal compliance measures, embracing a cross-functional integration strategy, and rigorously auditing algorithms for bias, these challenges can be mitigated. This thoughtful approach to AI implementation aligns with the ethics and efficiency that today’s marketing professionals strive to uphold.

I then told ChatGPT, “What is the single most important thing I should know from your analysis?” To which it responded…

The single most important insight from the analysis is that while artificial intelligence presents immense opportunities for marketing, its responsible and effective implementation requires careful consideration of legal compliance, integration with existing systems, and the elimination of biases. The underlying theme is that success with AI in marketing demands a strategic approach that balances technological innovation with ethical considerations and compatibility with existing infrastructure.

Should we have already put the custom instructions into ChatGPT when we enter this prompt?

All else being equal, ChatGPT will serve you better with custom instructions because it will understand the context of your business and your customers.

But you can use any of the prompts in the Prompt Kit (available to MECLABS AI Guild members) without using custom instructions.

Again, if you want to learn more about custom instructions, you can read our last Q&A post – Choosing Your AI Partner: A critical comparison of ChatGPT and Claude 2 for digital marketing.

Would it be worth doing a few interviews with some of the people who have and haven’t purchased from our email sequence to understand the person behind the numbers?

Yes, I love that idea. That is a great example of increasing customer intimacy.

If you’re not able to go that far, you could send emails that people can reply to (in other words, not from a ‘no reply’ email address which some companies do) and make it clear in the email that replies are welcome.

Keep in mind, with this approach you will only hearing from the extremes, so take what they say with a grain of salt. But if something is truly outstanding or really horrible, you may hear about it. And you may also get a good understand of the words customer use to discuss your product or service.

For the pre-test success metric, is it important for this KPI to have large amounts of data? So for example if I wanted to use sales as my pre-test success metric but my volumes are not in thousands, is that a problem? Where is the biggest opportunity?

This is a question about A/B testing. To quickly explain a complex topic, if your results aren’t statistically significant, what you might be seeing is just random chance. An extreme example: 2 sales is a 100% increase over 1 sale, but that increase might just be random and not because of what you were testing (we explore this topic deeper in Factors Affecting Marketing Experimentation: Statistical significance in marketing, calculating sample size for marketing tests, and more).

Which begs the question – “so how many samples (sales, clicks, etc.) do I need?”

There is no one specific answer. The answer will vary based on the conversion rate difference between the control and treatment. The pre-test planning tab of the Simplified Test Protocol (available to MECLABS AI Guild members) will help you calculate that number.

So as the questioner rightly points out, it is difficult to make a number deep in your funnel, like sales, the success metric…unless you get a whole lot of sales.

As for the biggest priority, I would refer you to the above question about ‘where to start?’ However, your answer will be constrained by where you have the budget to get a statistically significant result.

We also have a free Test Planning Scenario Tool that helps you determine the optimal testing sequence.

Related Resources

Benefits of AI in Marketing: How do the views about artificial intelligence in marketing differ between leaders and practitioners? [chart]

AI Marketing Tools: How marketers are using artificial intelligence to help their campaigns right now

Artificial Intelligence and Machine Learning in Marketing: What marketers (even those who don’t care about tech) should know about AI and ML