Tuesday, May 23, 2017

Big Companies Beat Big Data- Part 2

In our previous article, we discussed about the prominence of predictive analytics and how important it is to be followed by every company. Let's analyse it in different angle. Have you ever noticed, customers getting excited about their own data. Of course, customers have access to more data than enough through Fitness apps. Alternatively, sites like Mint.com and LearnVest allow consumers to review their spending by category and see where their money went in a given week, month or year.

Just giving customers tons of data about themselves is not enough. Companies need to put through all of the data and extract the most relevant information where the customer easily digest the new experience. Data makes a difference for customers’ in daily lives if it's done right whether it pertains to their health and fitness or to their money. Everything can make a difference on a company’s return on investment.

It is evident that giving customers data that’s useful and meaningful to them, companies are using big data to develop fandom. Out of these techniques, the customers will get habituated,  they’re more likely to continue logging in or using the product. Hence, the companies will now have become brand loyalists all along the way. Finally, the man who loves his Fitbit will perhaps buy more branded athletic gear.

Big Companies Beat Big Data- Part 1

Big companies beat the market by using the complex technological solutions used from big data concepts. This is one side of the coin, on the other side, where all these companies are getting reliable customers. What tricks are they using to attract the customers and maintain the database full of loyal customers. In order to reveal the facts behind the techniques, we definitely need to know about the predictive analytics. Let's go to our old days, where you went to the same neighborhood bakery every time you needed bread. Even before you placed your order, the shopkeeper already had a loaf bagged and ready. As you paid, she would ask what was new with your family. She might remind you to order a cake soon so it would be ready in time for your daughter’s birthday. You appreciated the personalized service and wouldn’t think of shopping at any other bakery.

This is how the predictive analytics work. In technical terms, data scientist will predict what the customer needs are and what he wants. Companies gather a ton of data on customers, not only what they’ve purchased but also the information about websites they visit, where they live when they’ve contacted customer service, and if they interact with their brand on social media. It’s an overdose amount of more unrelated data, that's why it's called as big data, "COMPLEX DATA" but companies that can properly mine this to offer a more personalized and customized touch. To properly predict the future, companies must promote the right products to the right customers on the right channel.

Future of Digital Analytics

Many challenges that we face in the current market world can be solved by big data theories. Marketers are ready to take up any challenges in order to solve the big data problems. In fact, they are digesting the latest options from both solution providers, mainly because of the scale of measurement options. Often, there is a probability of broad view of customer segments and this has become more sophisticated in deployment and reporting.

Let us look at the improvement of measurements in top companies like Google. Google made a significant announcement with Google Analytics 360 which is a suite of tools that will replace Google Analytics Premium. This kind of changes complement the current consumer-centric era. It's all about empowering customers that drive influence instead of branding.

 To make it simple, let's look at the established practice of showrooming in a Just side, the customer comparison of a product online while standing in a store location versus parallel device usage among consumers while researching online This leads to high expectations for personalized marketing that speaks to the individual’s needs.
In my point of view, knowing your customers plays a key role rather that making them as a channel of advertising for your brand.  What if we don't adapt and establish the digital foundation. Predict what will happen if we fail in doing so. The key damages are as follows:
1. Failing to adapt the solid digital foundation can ruin your business. Website updating to SEO techniques all these are important attributes. So many companies still struggle with their budget to get the basic media and supporting media in place. Fortunately, struggle creates opportunity costs in developing metrics and refining strategy to serve the right customers faster. Coming to analytics, which must be planned ahead of launching a site, planning a mobile page, and adding an app leads to the wonderful customer experience.

2. We already discussed that customers are not the channels. Big companies often value and demand the need of recognition to the customers. How we view the customer's matters the most in market world. marketers must use solutions that merge digital and offline data sources as easily as possible. Digital analytics solutions have been marching towards this horizon, but the latest changes confirm that the marketing industry has reached that horizon.

3. The lesser value will be given to the technical capability from analytics view that creates the ad-hoc analysis. Over the years many developers have created tagging ideas for web analytics solutions through modifying the code itself. But the rise of a central analytics solution has introduced tag managers and data layers that require less elaborate customization to implement. Market leaders carefully evaluate their dependency on technically narrow solutions

4. Engagement to profit. The evaluation of digital access is changing, no doubt.  Mobile devices and tablets have made the screen not only smaller, but also transportable in a convenient way. These innovations allow new context for the value of media received, and require advanced analytics to process that context quickly.

5. Finally, the most demanding market, analytics market. All the big giants like Adobe, Amazon & Google continued the evolution to central data in their suite of analytics. For example, Kenesis, a data streaming service that allows users to integrate data within the Amazon Web Services cloud for analysis and app development.

Hence, every company has to implement the above strategies and take care not to ignore the adaption of the digital foundation.


Wednesday, May 17, 2017

Beyond Ad Words?

Significance of DoubleClick for Publishers

The title itself says that there are so many tools that you can rely upon while doing the online advertising even if it's for a small company or else a big company. Today, we are going to discuss about one of the familiar tools outside in the marketing world for promoting online business. DFP is DoubleClick for Publishers, a  Small Business is a free ad management solution that helps growing publishers sell, schedule, deliver, and measure all of their digital ad inventory. Having a simple interface with rich feature set, built-in revenue optimization, and Google-powered ad delivery, we can quickly be on our way to maximize the value of your ad impressions.

All the ads we watch on YouTube are reservation ads and they run through DFP tool. This is the one platform that allows you to manage and deliver all of your web, mobile, and video advertising. It has easy-to-use interface and a simple workflow with subtle inventory management and forecasting systems make it easy to get up and running quickly. It will give the consistent results in terms of forecasting throughout the DoubleClick for publishers. We can precisely target our ads to the intended audience where we can control on where, when and how effectively we can showcase our ad to the user. We can also control the delivery of the ads requested by the advertiser.

We can extend our article to hundred of pages when explaining about DoubleClick and it's importance. If you need ton know about more information on DFP, please visit https://www.google.com/doubleclick/publishers/small-business/faq.html

Facebook Future Strategies For AD Agency

Heads up for the agencies that offers digital marketing services and training. Adhered to the fact that slow and steady wins the race. As being owned a self-startup agency, we have a systematic plan to build our business in this competitive platform. I would like to share the work about one of our partner division agency DIGI 360. To build a strong social media relationship, we want to leverage our existing traffic to the site by placing social media icons on the homepage, since it is the area where these icons could be easily seen and this move provides better click-through rate (CTR) placements. We would continue the themes and frequency of posts in a timely manner. One of our favorite feature that Facebook Pages have is the Insights. We will see the average time that our fans are online. The Content Calendar scheduling will be followed with the current themes. We slightly adjust with the timings of the post based on this feature. Alternatively, we will use Hootsuite, SocialOomph, and Sendible to schedule social media posts and updates. Using tools like these will allows the brand to monitor the level of engagement each post attracts and how many posts is enough. We would like to build community and engagement rather than revenue & website traffic. To accomplish this, we would try not to over-promote our content as this is a social media and not advertising. Being proactive on engagement, we will always encourage the other similar page content by sharing it on our page where we believe that social media is conversational, entertaining and for educational. We will build a social media marketing plan and target the desired audience in a meaningful and relevant manner on a timely basis. Our focus is mainly on Brand Awareness and Reach to the target audience. We will do the experience strategy by developing social media activities more rigorously by spreading the brand message. 

Finally, We would like to engage with other Facebook Pages where our target audience hangs out and will comment on the page which will serve as a link to our page. Additionally, by tagging our customers using @ feature enables us to build loyalty from the customers and clients.


For more useful information, please visit https://www.facebook.com/DIGI-360-1217920791623034/

Monday, May 15, 2017

Social Media Culture At Dell

Dell being a huge company dealing in the manufacture of personal computers and later to venture in the field of software and analytics apparently needed the boost of social media. The primary objectives of the development of the social media platform at Dell were to ensure that the customers received the best services and that the growth of the business could be monitored more intelligently via the social media network of feedbacks and suggestions. This trend became an excellent predictor of future shifts in tastes and how the company could adjust accordingly. The other main reason for the advantage of moving from the standard business analysis to the social media platform is that the costs were reduced remarkably. The company now has to look to the customers for their feedback and adjust accordingly. The ignorance of the customers’ grievances nearly brought Dell to its knees at the beginning of the project roll-out. This social media analysis is, therefore, an essential part of the company’s growth.


The use of the social media in the understanding of the customers needed some training on the part of the company on the use of best customer relations material and manners. The company, therefore, by 2013 had 17,000 employees that were directly linked to the clients and were able to talk to them directly instead of a proxy.

They worked directly with customers through a telephone system, mail, and their website. That eliminated the need for warehouses and saved a lot of money on overhead expenses. The result was not only a cost advantage but also direct contact with customers. Dell received immediate feedback about consumers’ needs and an idea of how to plan on advancing the new products. Partnership with the client and direct contact with them gave an opportunity to respond to market changes and create increased customer satisfaction faster than competitors, resulting in the company's sales and profits growing several times quicker in the industry on average.

Dell embraces the social media model in an entirely different way from others. They offer immediate positive or negative consumers reviews and proposals. They offer on the spot problem solutions and help in all other aspects of the computer world. Dell provides an on-line forum that shows users conversation posts for a whole variety of PC related topics. Dell covers information for all possible types of users from individual owners to small businesses and large corporations. Dell uses our more typical social media such as Facebook and Twitter to promote new products, show new technologies, and inform about their events.

Dell annually creates relationships with clients via posts in blogs, messages in Twitter, and brand-related discussions in the social media community. The purpose of these contacts is not only to increase sales but also to keep the connection with clients and develop the dialogue in which the company wants them in. Social media platforms give customers opportunities for opinions exchange with each other and with Dell. With immediate feedback, they achieve great success by knowing what their customers want to see next. Social media gave the strongest competitive edge for Dell. Being in the one-to-one social model for years which later on turned into a consulting service helped Dell to jump into social networks a lot quicker than other IT companies resulting in an excellent social business.

Dell faced some challenges that rocked it during early stages of the implementation of its social media platform. The first significant wave that shook the boat that Dell so comfortably sailed on was that they did not recognize the plight of the customers. Even when one customer pleaded to be given the right solution to his/her problems, Dell turned a blind eye. This one-sided type of conversation between the company and customers nearly ruined the company. They had to act fast before they drowned into oblivion.

There were some obvious risks associated with moving quickly. The common one is that some disgruntled employees would use that opportunity to divulge information that was secret and that some would blatantly ruin the name of the company. The top brass of the company had to instill the value of loyalty to the customers more than to the enterprise. This loyalty, therefore, shifted the focus of the employees on listening to the customers more. The massive traffic between the company and the customers created some foreseeable problems. For instance, the company had the amalgamation of different departments as any other company. The problem was that the incoming information from the customers needed to be centralized. This centralization would, therefore, reduce the backlog and speed up the reply process.

For more information on Analytics, please visit http://d-analysis.blogspot.com/2017/05/big-data-vs-data-analytics-vs-data.htmlsource: Building a Social Media Culture at Dell by Michael Norris & Rohit Deshpande

Wednesday, May 10, 2017

Data On It's Own & It's Secret of Business Success

Data on its own, however, is nothing over 1s and 0s.

Let us keep it quick and easy. Information worldwide is growing 40 % annually, a rate of growth that's intimidating for any promoting and sales leader. firms have to be compelled to invest in an automatic “algorithmic promoting,” associate approach that permits for the process of huge amounts of information through a “self-learning” method to make higher and a lot of relevant interactions with customers. That may embody prophetic statistics, machine learning, and linguistic communication mining. These systems will track key words mechanically, for instance, and build updates each fifteen seconds supported dynamic search terms used, ad costs, or client behavior. It will build worth changes on the fly across thousands of merchandise supported client preference, worth comparisons, inventory, and prophetic analysis. One bank in geographic region remodeled itself from a little-known player into an establishment that was stratified eleventh in capitalization worldwide partially through algorithmic promoting.

That level of private interaction highlights another crossroads that is that automation doesn’t mean folks depart. Advanced analytics have to be compelled to serve front-line workers – whether or not that’s a client service operator or a sales rep within the field. To succeed firms have to be compelled to protect the line from the huge analytical quality and deliver easy pointers and suggested actions. One merchandise airline, for instance, developed a fancy model that analyzed the oftentimes dynamic dynamics of the merchandise trade and negotiating ways supported provide and demand. What it delivered to its staff, however, was an easy straightforward “dashboard” with simple pointers on flight capability, corresponding evaluation similarly as competition choices. The result was a 20 % boost in share of billfold.

For more information on Analytics and Big Data, please visit http://olgaazina.blogspot.com