Tag Archives: BLOG WITH BEB

January 1, 2020 – CCPA

The California Consumer Privacy Act (CCPA) will be enforced on January 1, 2020. We were nervous when the GDPR (General Data Protection Regulation) came into play, and that only governs the use of E.U. citizens’ data. The California law applies to personal data on any state resident, regardless of the location of the marketer. Many believe this is only the first of many states to follow.

Companies that are not compliant with CCPA are subject to hefty monetary penalties though a recent study of US Brands reflected that 56% of businesses surveyed don’t believe they will be compliant by the January 1 kick-off.

In the survey, many businesses sited the cost to become compliant as a major obstacle and equal to the price of a full-time employee. Some companies feel their business isn’t big enough to be subject to the law, or don’t think it applies to them.

To comply with CCPA, marketers must be able to respond to Californians’ requests about their personal data which include:
• Knowing what personal data is being collected
• Can request details on how their data is being processed
• Can access their personal data
• Can request to have their personal data deleted
• Know whether their personal data is sold or disclosed to third parties
• Decline or opt-out of the sale of their personal data

Many believe that the CCPA is complicated, and it is poorly written, leaving a lot of the verbiage open to interpretation.

The main goal of the law is to regulate the collection and sale of Personally Identifiable (PI) consumer data to third parties and service providers. You do not need to get paid for the data. If you disclose it to another party, it is considered a transaction. Using outside vendors to help manage your data is not a problem, because you are the controlling party.

Now, individuals can tell you to stop disclosing their data to others; and you must comply. One cannot deny goods or services to anyone because of their data opt-out and that is making for a slippery slope. In order to know you are not supposed to have data on an individual, you must have that individual in your database. And since it is likely you must have data on an individual in order to do business with him or her, how do you conduct business with data exceptions? One writer compared it to The Eagles Hotel California tune, “you can check out any time you like, but you can never leave.”

 

 

 

CA Consumer Privacy Act

Starting January 1, California’s Consumer Privacy Act (CCPA), will require all California for-profit businesses to disclose to consumers upon request the specifics of the personal information collected and its sources. Consumers can also require companies to delete personal information, refrain from selling it, and pursue legal action for failure to comply.

As the start date for the law draws near, giants like Google, Amazon, and Facebook, are working to help push through amendments that will make the law easier on businesses.

California is the first government in the US to regulate how businesses retain and use electronic consumer data. The legislation is the first response to the European Union’s GDPR, enacted last year. The General Data Protection Regulation allows the EU the power to fine companies that violate its consumer privacy protections. Google was slapped with a $57 million fine for failing to disclose data collection tactics to consumers, and Facebook is under several investigations from the GDPR governing body.

Personal information protected by CCPA include:

    • search and browsing history
    • geolocation data
    • IP addresses
    • email addresses
    • purchase records
    • records on consumption histories and tendencies
    • professional and employment information
    • educational information
    • audio, visual and thermal information

Fines for non-compliance range from $2,500 (if unintentional) or $7,500 per violation (if intentional) for companies that fail to cure alleged violations within 30 days.

As efforts to pass federal privacy legislation in Congress have languished, states have stepped up their pace. According to the National Law Review, five other states — Hawaii, Maryland, Massachusetts, Mississippi, and New Mexico — have introduced CCPA-like privacy bills as of March 2019. Another three states — New York, North Dakota and Washington — have put forth consumer privacy bills to protect personal data.

A federal bill introduced in the Senate in December, The Data Act of 2018, remains in committee. As proposed, among other protections, the legislation would prevent “online service providers” from using individual identifying data in any way that would benefit the online service provider to the detriment of an end user.

Summer Camps & Email

Email campaigns work. We have a client that offers summer camps as part of their service offering. In the spring, they paid for a booth at a local event that promoted family friendly products and services. We printed fliers promoting summer camps and different types of lessons ranging in price from $200 up to $400.

During the event, they had a drawing for a free, 1-hour lesson and collected names, email  addresses and phone numbers from attendees. By the end of the show, they had collected 99 prospect names.

The following day, we input the information into their email database and generated 2 emails. The first email was announcing the winner of the drawing with instructions on how to collect their prize.

The second email was to the 98 individuals that did not win. The email offered a 25% discount on a summer camp, as a way of saying thank you for dropping by their booth.

Both emails were sent within 24-hours after the show. The results are typical and confirm the benefits of using email blasts.

The promotion email had 16 bounces (16%). That is very high, but it is normal for a show. People had to hand-write their information and often it is difficult to decipher handwritten information. 82 emails were successfully delivered.

    • 58 (70%) people opened the email, 131 times, an average of 2.2 times each
    • 8 (9.8%) people clicked onto a link. There were 3 links to choose from:
      • Summer Camp Link (3 people)
      • Lessons Link (3 people)
      • Home page to their website (2)

Three people purchased summer camps directly from the email campaign generating $1,200 in sales. In addition, one person signed up for six-months of private lessons ($1,800) and another signed up for group lessons for 2 months ($400) bringing the total sales from the email to $3,400.

Quality targets, timing, eye catching graphics, compelling content, and a call to action make for extremely successful email campaigns. If you aren’t incorporating email in your marketing strategy, you’re missing out on sales.

 

Machines That Read Your Mind

In the 1980’s, the MRI (magnetic resonance imaging) made the human brain visible in ways never seen before. Doctors were able to see brain structure and the soft brain tissue of a living object. This type of detail was only seen previously during autopsies.

During the 90’s, the fMRI (functional MRI) came into its own. The fMRI detects blood flow revealing brain activity which makes it possible to identify which parts of the brain react to scent, visual recognition or even sound.

The fMRI is in transition once again. Though still in development, the fMRI will soon allow scientists to track the condition of our mind with more precision. As researchers analyze the vast amount of data generated by brain scans coupled with the latest computational techniques including Artificial Intelligence and Machine Learning, scientists are beginning to resolve how our physical brains form our mind.

The research may have a significant impact on marketing, police work and computer interfacing and may even allow the preservation of memories even after an individual has passed.

Some mental functions activate several parts of the brain at the same time. The fMRI can detect that activation and machine learning deciphers patterns into specific descriptions that include what a subject is thinking or doing. In an article published in the WSJ by Jerry Kapalan, Kaplan said’ “It’s like going from identifying individual letters to reading words and sentences.” That’s big!

Studies show that people’s brains organize and process the same information in similar ways. Collaborators in a 2011 study were able to correctly identify which of eight mental tasks a subject was performing 80% of the time, based solely on looking at their brain scans.

The evolution of brain reading continues with Functional Near-Infrared Spectroscopy (fNIRS). This emerging functional neuroimaging technology offers a relatively non-invasive, safe, and low-cost method of monitoring brain activity. fNIRS is the measurement of near infrared (NIR) light that takes advantage of the optical window in which skin, tissue, and bone are mostly transparent while blood flow is a stronger absorber of light allowing for a more in depth reading of brain functionality.

The ability to decipher this type of technology raises questions about the privacy of our thoughts. It may lead to a world where our mind is subject to a search warrant or become a matter of public record leaving the ever pressing question of who should have access to those thoughts, and how they should be used.

Computer Education

Global spending on Artificial Intelligence (AI) is expected to reach $35.8 billion this year. That’s up 44% from last year. It’s expected to double to over $79.2 billion by 2022.

Below are some terms that will help you to better understand this exploding and learned  technology.

Natural Language Processing (NLP) –A subfield of computer science, information engineering, and AI focused on interactions between computers and human language.  When text or speech is input and it can be read or extract meaning.

Artificial Intelligence (AI)- Sometimes called machine intelligence, AI is intelligence demonstrated by machines. These machines mimic “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.

Deep Learning -Sometimes referred to as deep structured learning or hierarchical learning, it is part of a broader family of machine learning methods based on artificial neural networks.

This powerful statistical technique is used for classifying patterns using large data sets and ANNs (Artificial Neural Networks). Deep learning neural networks have been applied to fields including natural language processing, social network filtering, drug design, medical image analysis, and game programs. They have produced results comparable to and in some cases superior to human experts.

Machine learning (ML) -The scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.

 

 

AI IS Listening

Artificial Intelligence (AI) is able to measure tone, tempo and other voice characteristics. Some systems compare those sounds to stored speech pattern libraries that define a plethora of human emotions to determine an individual’s emotional, mental or even physical health.

When this sound technology is used in conjunction with computer vision, the science that allows computers to gain a high-level understanding from digital images or videos, the  applications become even more powerful. For example, imagine a vehicle that is able to hear a driver yawning and see the driving dozing off.

Research firm Gartner Inc predicts that within three years, 10% of personal devices will have emotion AI capabilities that include wearables (similar to a Fit Bit) that is able to monitor an individual’s mental health or video games that adapt to the players mood.

BEB Wins Hermes Creative Award

We are so excited to share the news that BEB has been awarded a 2019 Hermes Creative Award. The Hermes is an international competition for creative professionals involved in the concept, writing and design of traditional and emerging media. Hermes recognizes outstanding work in the industry while promoting the philanthropic nature of marketing and communication professionals.

This year there were over 6,000 entries from throughout the United States, Canada and
dozens of other countries. Entries came from corporporate marketing and communication departments, advertising agencies, PR firms, design shops, production companies and freelancers.

The Hermes competition is administered and judged by the Association of Marketing and
Communication Professionals (www.amcpros.com). The international organization consists of
several thousand marketing, communication, advertising, public relations, media production and free-lance professionals.

As part of its mission, AMCP fosters and supports the efforts of creative professionals who
contribute their unique talents to public service and charitable organizations. Hermes entrants are not charged entry fees to enter work they produced pro bona. In addition, the efforts of generous marketing and communication professionals are acknowledged through grants and special recognition.

Judges are industry professionals who look for companies and individuals whose talent
exceeds a high standard of excellence and whose work serves as a benchmark for the industry.
Winners were selected from categories grouped under advertising, publications,
marketing/branding, integrated marketing, public relations/communications, electronic media
and pro bona.

This marks our third award for the work done on a project so near and dear to all of the BEB family; The Run for Rama.

2019 BBB Award for Excellence Winner

We are proud and honored to have been awarded (for the 4th year in a row), the Houston Better Business Bureau’s 2019 Award of Excellence.

The mission of the BBB is to promote trusted marketplace and celebrate best practices. The BBB Awards for Excellence recognizes businesses, organizations, and employees that are positive examples to all in areas that mirror the core values of the BBB and demonstrate the highest standards of business ethics and practices. These organizations are recognized for fostering trust with their customers, employees, suppliers, and community.

YouTube Demographics

Every year, we marketing geeks anxiously await the data presented by the Pew Research Center on demographics of social media consumption in the US. The Pew Research Center is a nonpartisan American fact tank based in Washington, D.C. It provides information on social issues, public opinion, and demographic trends shaping the United States and the world. It also conducts public opinion polling, demographic research, media content analysis, and other empirical social science research. The Pew Research Center does not take policy positions, and is a subsidiary of The Pew Charitable Trusts.

Join us as we review the latest information surrounding who (in the US) is using social media!

The most used platform to date is YouTube. Based on US Census Bureau data (from July 2018), there are over 253 million adults in the United States. 228 million are online. 73% of adults online use YouTube; that’s over 166 million people. That number represents only 13% of the total, 1.3 billion global YouTube users.

Of the US YouTube adult users, approximately 47% are women and 53% are men.

YouTube receives over 500 million views each day, with 300 hours of video being uploaded each minute. That translates to 432,000 hours of video per 24-hours, representing over 49 years of video time.

Learn more about the latest social media statistic by clicking here.

 

List Your Close Friends of FB

Facebook says that the goal of News Feed is to connect people with the posts they find most relevant. It’s not about the amount of time someone spends on social site, but rather the quality of time spent. That means Facebook must predict what users want to see.

To do this, they study to understand what people are doing on Facebook — what they like, comment on and share. They also use surveys to get more context about the posts people want to see and who they want to see them from. In May, FB announced two ranking updates based on surveys: one gives priority to friends someone might want to hear from most and the other prioritizes links a person might consider most worthwhile.

Historically FB has predicted who people might want to hear from based on signals like how often they interact with a given friend, how many mutual friends they have and whether they mark someone as a close friend.

Now, in addition to tracking these signals, Facebook is asking users to to list the friends they are closest to.  Once patterns emerge from the results they will use them to inform the News Feed algorithm with the goal to better predict which friends people may want to hear from most.

This doesn’t mean News Feed will be limited to posts from only certain people and it doesn’t mean you will necessarily see more friend content.

They also know that individuals that are considered close friends today may not be in a year, or even a few months later. The prediction models will continuously update based on the interactions people have with their friends on the app as well as continue to survey people.