Dan Galante

Free or Low-Cost Trials

When creating a new offering, I would offer a free or low-cost trial of your product to the end-users and industry experts. Consumers look for social proof before they buy a product. Now if the product is new, none exists. To lower buyer resistance, you need to make it low risk and feel safe.

In addition to market research and product testing; the free or low-cost trial is a great way to build trust and get feedback. Surveys can be created to ask potential customers about their experience.

If your product helps to solve a customer’s problem they will be more than happy to share it with others; converting to paying users! The product will earn testimonials and endorsements. Testimonials and endorsements will address product reliability creating: loyalty, brand recognition, and Sales for your product.

Loss Leaders

In place of a free or low-cost trial, a loss leader can be an option. A loss leader is when you offer a product at a loss or break-even point to gain business in the future. Supermarkets do this all of the time when a new product is rolled out.

Another place I saw loss leaders was when I was in Field Sales. I was selling Dental equipment at the time. Certain customers were loyal to certain types of equipment. When I ask why they stated that these were the tools that they had used in school. When I called on Dental schools and Hospitals, I found they were locked up with large contacts. My larger competitors sold the equipment at cost practically giving it away. Why would they do this? My competitors were creating life-long customers who were trained on certain tools and refused to switch.

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

The decision on developing and implementing offering free, low-cost trials and/or loss leaders will be different for each product.

Free, low-cost trials and loss leaders help to Increase Sales and Customer Loyalty.

How have you used free, low-cost trials and loss leaders to create Sales and Customer Loyalty?

Comment and share.

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.

This week, I covered Advertising Week in New York. There were amazing panels.  My key takeaways from Advertising Week were:

1. CMOs need a wide array of skills sets from Storytelling to Data Analysis to owning a P&L statement much like CEOs and other General Managers if they want to survive and thrive in today changing landscape.
2. CMOs need to be the Voice of the Customer inside of the organization and understand how intent is changing the customer journey.
3. Customers want a personalized experience with brands while having the their data protected.
4. Brands need to take a different approach when Understanding and Marketing to Gen Z
5. Marketing and Advertising is not the same anymore.
6. Today’s successful marketer is generous, gives value to the customer and does not steal their attention.
7. AI will empower Marketers to do their jobs better; bring them closer to customers.
8. AI will also allow marketers to get quicker feedback to see which campaigns work best at different points in time by allowing them to make sense of all the data they collect. It is an exciting time to be a Marketer. How will Marketing change? Comment and share below.