Dan Galante

Social Networks are places where people congregate; making them great sources of Market Research and Revenue. As a result, Social networks are looking for new revenue streams. The latest revenue channel for them is E-commerce.

Facebook is partnering with Shopify to launch Facebook shops. The social network is the latest to get in on the E-Commerce business.

Last year at SMX East, Google and YouTube shared how they are allowing people to shop online for products. Google also shared people’s buying behavior. I have included parts of the article below.

In Google’s Keynote, I learned how businesses can get an edge during the holidays. I also learned of Google’s plan to use Google Images and YouTube for E-Commerce. Google is also allowing businesses to use location-based Ads in Google Maps.

The key insights of the presentation were:

1. According to Google most shopping visits start online.

2. When diners search for a great place to eat the searches are probably happening on a smartphone.

3. When people are online in cars, more than half of them are searching for information on a mobile device making localization and targeting important.

4. 2/3’s of shoppers say that online video has given them insight and inspiration to make purchases.

5. Shoppers use at least 3 channels or more when shopping.

6. Brands need to provide an omnichannel channel experience all year, especially during the holidays.

7. Sales are happening online and offline. As a result of this shift, Brands need to serve customers on the channels of their choice.

Would you shop on a Social Network? Share your thoughts.

I asked my audience how they find Education Technology products and solutions. According to a survey I conducted on LinkedIn, 58% used google, viewed product demos, and read reviews. Next was Social Media and word of mouth at 33%. This suggests that the education technology buying cycles are customer-centric. A great product demo is only as good as product reviews, word of mouth, and the customer experience for established brands. Only 8 % found products from seller-centric activities such as seller calls emails and catalogs. Customers are educating themselves and seeking out sellers at the end of the buying process, not the beginning.

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

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

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

How it breaks down for technology in general.

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 businesses need to 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 education technology products and services?

How do your customers find education technology products and services?

Share your thoughts in the comments. 

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.