Dan Galante

When marketing and selling a tech product or service, it is important to ask two questions to understand your buyers.

1. What motivates people to buy a tech product or service?

2. How do people find a tech product or service to buy?

I surveyed my LinkedIn audience for answers.

1. What motivates people to buy a tech product or service?

People buy a technology product or service for many reasons.

2. How do people find a tech product or service to buy?

People find and buy technology products or services in different ways.

These findings suggest that businesses must create customer-centric offerings to survive in a competitive marketplace.

Answering these questions will help businesses develop, create, and, position offerings people want to purchase.

What motivates customers to buy your technology products and services?

How do your customers find technology products and services?

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

YouTube https://www.youtube.com/trendsettingsm

Anchor https://anchor.fm/dangalante

About Me

I’m a Strategic Marketer with Field Sales, Sales Enablement, Content Creation, and, Classroom Teacher/Trainer skillsets 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, and 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, and Recruitment Marketing.

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

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.

Smartsheet Product Marketing Template

Smartsheet.com Product Marketing template

Product Marketing involves more than just supporting the Marketing and Product Management teams. Product Marketers serve Marketing, Sales, and Product teams. Each team has different needs and responsibilities. However, they all play a role in growing the business and serving customers.

Just as Marketing has a plan or brief, Product Marketing does.

Here are nine things to address in a Product Marketing Brief.

1. What does your company do? Does your product offering align with your business goals?
2. What are the features of your product? Do others understand what you are building and why?
3. Does this Product address gaps in the Market? Include an overview of a Competitive and SWOT analysis.
4. Who is your ideal customer or target market? Include an overview of findings of demographic, psychographic, and buyer persona research. Does your product solve customer pain points?
5. How will you measure product success?
6. What are can go wrong? Can failure be anticipated and corrected?
7. What is the roadmap and schedule of the product? Who’s responsible and in charge?
8. Who needs to be included in the project and who needs to approve deliverables?
9. How will goals be tracked? How often will they be monitored? What insights are you trying to glean from the data?

As a Product Marketer, how do you know if you are successful?

Comment and share.