Free or Low-Cost Trials

When creating a new offering, I would offer a free or low-cost trial of your product to both end-users and industry experts. Consumers look for social proof before they buy a product. If the product is new, then none exists. To lower buyer resistance, you need to make the buyer feel comfortable about their purchase. Offering free or low-cost trials of your product is a great way to build trust and gather feedback. You can conduct market research and product testing using surveys to ask potential customers about their experience.

If your product helps to solve a customer’s problem, they will be happy to share it with others; increasing the chance of converting prospects into paying users. Product testimonials and endorsements help to address product reliability and usability. Customer testimonials build loyalty, brand recognition, and sales for your product.

Loss Leaders

If free or low-cost trials are not something that you can offer, you can use loss leaders. A loss leader is when you offer a product at a loss or break-even point to gain future business. Supermarkets and e-commerce businesses do this when a new product is rolled out.

Another place I saw loss leaders was in dental field sales. Certain customers were loyal to certain types of equipment. When I asked why, they said that these were the tools they used in school and they were comfortable using them. As a result, they did not want to switch. When I called on dental schools and hospitals, I found they were in contract with larger competitors. My larger competitors sold the equipment at cost; practically giving it away. Why would they do this? My competitors were creating life-long customers trained on certain tools who refused to switch.

Connection, trust, and advocacy are essential for customer acquisition. It is your job to turn your customer base into evangelists.

Free, low-cost trials and loss leaders help to increase sales and customer loyalty. The decision on where to offer a trial or use a loss leader is dependent on the specific product, business, and industry.

How have you used trials or loss leaders?

Share your thoughts.

Additional places to find my content and blog

WordPress: https://dangalante.me/

Tumblr: http://www.askdangalante.com/

LinkedIn: https://www.linkedin.com/today/author/DanGalante

Medium https://medium.com/@DanGalante

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About Me

I’m a Strategic Marketer with Field Sales, Sales Enablement, Content Creation, and, Classroom Teacher/Trainer skill-sets using Marketing to drive Sales/Growth.

As a Marketer, I’ve worked with Start-Ups, a Political Campaign, and a Digital Marketing Conference.

I’m certified in Inbound Marketing with classes in Marketing, Product Management, Product Marketing, SEO, SEM.

Before teaching, I was an Outside Sales and Marketing Rep. selling and marketing dental products to Dentists using consultative selling, trade show marketing, field marketing, and market research.

I publish Sales, Marketing & Social Media Today a blog covering industry events and trends.

I’m seeking a full-time role in:

Inbound Marketing, Digital Marketing, Content Marketing, Product Marketing, Demand Generation, Social Media Marketing, Sales Enablement Enablement, Sales Strategy, Marketing Strategy, Employer Branding, Recruitment Marketing.

Open on title, industry, company, location, and level. Reach out on LinkedIn or at dan@dangalante.com to start a conversation.

Trends in AI & Generative AI: Insights from The 2023 AI Summit New York 

Last week, I covered the AI Summit in New York. I was excited to learn about the trends in AI and generative AI and to see some commercial applications of these new technological advancements. 

Patrick Murphy of UAB led the AI Exhibitor hub. Patrick shared insights from his research on Entrepreneurship. He shared how start-ups use AI, and Generative AI to scale up and bring products to market. 

Generative AI is being used in the following eight ways:

1. Content and Asset Generative
2. Automated Processes
3. Ideation
4. Financial Management
5. Project Design
6. Optimized Structures
7. Acceleration and incubation
8. Ethics and Risk Management. 

There was a pitching completion where start-ups did pitches in multiple rounds. At the beginning of the competition, they received advice from judges on best practices. 

One of the start-ups that was of interest was Botwise. Jan Nowak shared how his team shared a use case on how they leveraged Language Learning models (LLM)using statistics and GPT solutions for rapid automation in customer service for Mylead.global is a platform that allows influencers to earn money. As a result, MyLead.global was able to screen influencers faster and better for their big brand clients.

AI-Powered Use Cases from across the board panel discussion

Leaders Saira Kazmi Ph. D. (CVS Health), Matthew Blakemore (Creative Industries Council) Taha Mokfi (HelloFresh), Kriti Kohli (Shopify), and Kris Perez (Data Force) share how they use chatbots, improving both the buyer and seller experience using AI. How AI can be used in video games to identify levels of violence and how AI can improve in healthcare and Radiology reducing the amount of time images are read while improving accuracy and detail. 

Another interesting Panel was by Tim Delesio CTO of techolution

Tim asked What’s driving the explosive rise of AI all of a Sudden?

The answer is the economics of the labor market.

On the demand side, he cited labor shortages and persistent high inflation. 

On the supply side, he cites the rise of ChatGPT and, major scientific and Technological breakthroughs in the past five to seven years. 

He shared trends in AI for 2024 that include:

1. Physical Labor with AI to help deliver small batch sizes with high-precision quality control
2. Improved customer engagement by providing a new generation of customer service agents using Generative AI 

Tim demonstrated some of these trends when he ordered a soda using an AI-powered robotic arm. 

The booth had another machine showing how AI can enhance inventory management when items are ordered. 

I was amazed to see some AI Tech that techolution brought to the marketplace.

On that note, I saw an AI-powered Kiosk by Graphen where a man ordered his food and paid. This company is using AI to revolutionize all industries.

Man orders food AI Kiosk

Man pays for food at AI Kiosk

There were so many great talks and exhibits. 

Additional pictures can be found on Instagram. 

I want to thank the AI Summit for having me as their guest. If you want to use AI and Generative to improve business outcomes, sign up for the AI summit in your city.

What do you think is next for AI and Generative AI?

Comment and share below.

Additional pictures can be found on Instagram. 

I covered The AI Summit in New York last week because I wanted to learn more about AI and Machine Learning.

According to Tractica, AI is being implemented globally.

AI and Machine Learning used in many verticals and processes. For example, when I compose an email using GMAIL, I received suggestions on how to finish a sentence. To use the GMAIL suggestion, I can tap the right arrow button on my keyboard.

Think about your routine and your processes, I bet that AI influencers your decisions from where to eat to what to watch.

It is important not to fear AI; use it as a tool to be more productive and live better.

Data Privacy

There are many issues on Data privacy with legislation such as GDPR, CCPA among others. Right now we’re are at the level where AI can understand customer behavior and make suggestions.

AI In the Home

I attended an LG Labs event on AI in the home where it was suggested that companies need to collect more customer data to make better products. To convince customers to provide more data, companies need to provide customers with a ROD analysis or Return on Data. The return on Data should measure customer benefits against the amount of data they are providing. For example, in exchange for providing X amount of Data, we improved our product By Y i.e. increased functionality and better user experience. Think of an ROI or ROAS analysis.

The next evolution for AI is to go from predicting current user intent to future user intent based on user actions. Eventually, AI devices will be consolidated and work cross-functionally.

How AI will impact Sales, Marketing and the Customer Experience

Mark Beccue of Tractica opened up the Sales, Marketing and Customer Experience part of the Summit.

Matthew Quinn of Columbia University shares his insights on AI’s impact on Sales and Marketing.

Companies will not have just Salespeople or Machine Learning in the sales process. Instead, to increase Profits companies will have a hybrid model.

A business’s reason for using Machine Learning and AI is to become more efficient, get better insights and better ROI and profits.

Businesses need to think globally by applying cultural diffusion to their business through localization and language translation.

Marketing

AI will improve Marketing KPIs by allowing brands to measure improve linguistic effectiveness.

Shared by Smith Yewell of Welocalize

Customer Segmentation

Shared by Ranjit Jangam of Comcast

How ML can improve Customer Segmentation Data

AI will improve the customer experience by allowing customers to control their buyer journey with less interaction from the seller.

Shared by Priyanka Tiwari of Interactions.

Conversational AI will help power a self-service model according to Gartner.

What is Conversational AI?

Where AI needs to improve

I want to thank The AI Summit for having me as their guest. If you want to use AI to improve business outcomes, sign up for the AI summit in your city.

What do you think is next for AI?

Comment and share below.