On Leadership, Perspective and Toxic CEOs

6 Types of Toxic CEO's


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On Leadership Styles, Philosophies and Where You Live

Infographic brought to you by Brighton School of Business and Management

5 Ways To Be An Exceptional Leader

5 Ways To Be An Exceptional Leader #Infographic

Leadership on Independence Day

Independence Day


July 4th - BBQ, Beer, and the Pursuit of Celebration

Most Patriotic Cities of USA

Infographic Source: http://blog.visual.ly/independence-day-infographics/

Linked 2 Leadership Group Posting Guidelines

Thank you for joining and contributing to the Linked 2 Leadership Group! Our mission is to serve global professionals interested in Leadership Development, Organizational Health, and Personal & Professional Growth to help them Learn, Grow & Develop Other Leaders.


Simple Guidelines for submitting in the Discussion Area


Pitch-Free Zone: No advertising, promotions, or commercial suggestions allowed

Focused Discussions: ONLY content pertaining to:

• Leadership & Leadership Development
• Professional Growth
• Organizational Development/Health
• Personal Growth

Types of Entries: Self-contained discussions that do not require leaving the L2L forum that:

• Pose a relevant question that needs answers
• Pose an idea or thought for comment
• Ask for advice
• Seek clarification
• Engage in a true discussion
• Are non-commercial or non- promotional in any way
• May contain an outside link that adds value to the topic, does not require reader to enter personal info, and does not seems promotional to the reader
• Contain either LinkedIn polls or links to other relevant polls or surveys

We want QUALITY, not QUANTIY that adds values to member. Previous complaints:

• Too much promotional material disguised as topics (spammy)…..55%
• Too much self-promotion in Discussion topic………………………..39%
• Too much self-promotion in answers………………………………….34%
• Not enough true discussions……………………………………………28%
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• Content is too generic or weak…………………………………………..16%
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• Not enough to interest me………………………………………………..9%
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Simple Guidelines for submitting in the Jobs Area

• Regular full-time or part-time employment opportunities
• NO WORK FROM HOME ads allowed


Simple Guidelines for submitting in the Promotions Area

• Keep topics related to Leadership Development, Organizational Health, and Personal & Professional Growth


Every group member must submit their discussions for review and approval for a time until they are subsequently granted posting status. Members who do no honor the above guidelines will be given a chance to recalibrate their submissions. Repeat offenders will have their L2L Group membership privileges revoked.

We look forward to your contribution!

Thank you for your interest in L2L! We look forward to serving you!


Tom Schulte | Executive Director | Linked 2 Leadership
Atlanta, GA USA | http://linked2leadership.com

On Leadership, Customer Experience and Analytics

Bid Data

Leading any organization is difficult. For many, the operational components are easy and dealing with the “people part” is where their challenges emerge. But for others, the soft-skills people-part is easier and the nuts-and-bolts part of the business cause the pains.

When it comes to the operational nuts-and-bolts part of leading a business, there are some great ways to lead with better results.

And this is how you deal with using business information, big data, and analytics strategically to lead through better results.

In his book “Hooked on Customers: The Five Habits of Legendary Customer-Centric Companies,” author Bob Thompson spells out the strategic approach to help with the operational side of leading success.

Below are some of his thoughts and examples.

Using Analytics to Improve the Consumer Experience

"Hooked On Customers"Business leaders are turning to analytics to uncover insights in so-called big data. However, big data is like a vein of gold buried under your feet. Unless you can mine it effectively to improve business performance, all that data could be a worthless distraction.

Analytics is a terms applied broadly, perhaps too broadly. The most common form is descriptive analytics used to slice and dice data to understand what happened in the past. But increasingly attention is turning to forward-looking analytics, using specialized algorithms and software.

Prescriptive analytics take it a step further and attempt to actually influence the future. For example, analytics can be used to help a call center agent decide the best offer to present to a customer to increase the odds of making a sale, or to suggest actions to deal with a service issue.

Macy’s is a great example of a major retailer competing for the loyalty of “omnichannel” shoppers—those using multiple channels, such as retail stores, websites, mobile devices, and even social media. Several years ago, the company began a customer-centric shift, led by Julie Bernard, group VP of customer centricity.

Speaking at a 2012 conference, Bernard said her goal was to “put the customer at the center of all decisions.” Sounds good, but old habits die hard in a 150-year-old brand where data was organized around products. The retailer used POS data to analyze product sales but couldn’t figure out what individual consumers were doing. One simple example: Did a spike in sales of a new pair of jeans mean the product was a hit or that one person bought all twelve pairs in a store?

By also looking at data from loyalty programs, credit cards, and other sources, Macy’s was able create a more complete understanding of the products, pricing, and experiences that move “loyals”—those consumers already buying regularly.

Another Example

Let’s look at another example in the world of e-commerce. Let’s say you want to present shoppers with hotel options in a major metropolitan area like New York. According to then Expedia VP Joe Megibow, most users won’t do a complex search of hundreds of hotels, so it’s critical that Expedia put the “best” options at the top of the list. If your instincts told you to present the cheapest or more popular hotels first, Expedia would frustrate a lot of shoppers and lose bookings.

Analytics determined the factors most likely to meet customer demand, such as real-time availability, inventory by class, rate deals, reviews, and purchase frequency. Then, using technology from an analytics software vendor, Expedia built a predictive analytics model based on the handful of factors that really mattered, out of about two dozen possibilities. The model was operationalized using Expedia’s own proprietary technology.

Result: When consumers search NY hotels, they’re more likely to find the hotels that they really want, and Expedia will get the sale. A great example of technology enabling a win-win.


Never miss an issue of Linked 2 Leadership, subscribe today here
Learn, Grow & Develop Other Leaders

Bob Thompson

Bob Thompson is Founder/CEO of CustomerThink
He is also and Author of the book “Hooked on Customers”
Email | LinkedIn | TwitterBook | Web | Blog


Image Sources: media-cache-ec0.pinimg.com

Giving Back: L2L Reader Survey 2014

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