YUNO Wins Great User Experience & Rising Star Awards in Review

YunoWorld Technologies is proud to receive the Rising Star Award & Great User Experience Award  for the year 2016 & 2017. With the growing user base, the product growth is always on the rise. We have always kept ourselves focussed  with technology and user needs for becoming the best user experience platform for businesses across the globe.

We are delighted to inform that FinancesOnline not only gave us these two awards but also listed us under the top 200 products in their Business Intelligence Software category. In the FinancesOnline review we were rated User Satisfaction of 99% and overall score of 8 out of 10.

The Great User Experience Award is given to products contributing tremendously to the quality of user experience. The product is evaluated based on how easy it is in terms of usability and how well-designed its interface and features are to facilitate the work process.

The Rising Star award is given to the new product in the market which not only are getting good traction with the customers but are viewed as really efficient despite its young age. The experts of the FinancesOnline were really impressed with our product and user satisfaction level.

We hope to continue providing the best solutions to businesses and make them more efficient and we are extremely happy to receive two of the prestigious awards from one of the most popular business review directories – FinancesOnline.

This recognition is of utmost pride and satisfaction and we promise to commit ourselves even more to serve our customers better and provide them with even better experiences. We thank all our current and prospective customers to help us reach where we are.



Mobile Ad Tech Industry – Web Extraction

The use of smartphones has increased tremendously. Over 538 million smartphones were sold worldwide in 2016, a 74% increase over the last five years, as compared to about 89 million smartphones sales that happened in 2011. People are consuming the Internet like never beforeOver 3600 million people have Internet access today – thanks to the inexpensive data connection packages and compatibility of smartphones for high-speed Internet connections, it has resulted in an exponential growth in mobile marketing space.

Particularly in the direct mobile advertising, smartphones have opened a new platform for businesses – both large and small scale.


Mobile Ads – A Game Changer of Online Marketing

According to the reports from the mobile advertising industry, about 30% of the ads comes from mobile app ads alone. This advertising reaches more people than the desktop or Internet marketing, and due to this high interactivity, businesses are keen on implementing viral marketing strategies through mobile ads.

Also, mobile ads are compelling and action oriented. It means that the users are more likely to click on the ads that flash on their mobiles and engage further, resulting in some action. Mobile ads also serve as an effective medium for campaigns as well in the form of SMS and MMS texts.


Web data extraction for mobile advertising

It is essential for every business, whether B2B or B2C, irrespective of their size, to know the segment of customers. So mobile advertisers need to know their potential customers, which require some analysis to be done.

Data extraction itself is a complex process, and organizations spend a lot of time and money in marketing research to collate and track this critical data.

In many scenarios, there might be more than one sector involved, and it becomes essential that businesses have the end-to-end data for systematically targeting the mobile ads. There may be multiple websites from which data needs to be procured, and in some cases, directly accessing these other websites may not be possible. It is where the need for web data extraction for mobile advertising comes into the picture.


Why do we need to automate?

Since billions of people use smartphones and are the target of mobile ads, it is a highly demanding task to collate data for analysis, which also costs millions to the organizations.

As much as we need the automatic data extraction in online marketing to simplify the process of data analysis, we need to automate the web data extraction for mobile advertising as well.

It is the need of the hour for organizations as data is the gateway for generating potential clients. Automating the data extraction is a one-time investment that guarantees fruitful and effective marketing in return, apart from saving time, money and avoiding redundancy.


Case Study: Mobile Tech Advertising for Publishers & Advertisers

 As an example, we’ll focus on the publishers and the advertisers the role of data in their operations.


Advertisers first collect the data to understand the profile of their customers, their nature of consumption and the target audience to know what the end users expect. Analyzing this data helps them in campaigning effectively to a niche audience instead of a generic advertising, leading to successive outcomes. So they need web data extraction tools for this data analysis, which goes a long way in enhancing the marketing strategies.


 Content – in all forms combined, is expected to be the major traffic generator for websites, with over 64% of the traffic coming from content delivery networks by 2020. It means that publishers have an immense opportunity to grab the eyeballs of the visitors through systematic advertising.

 Publishers in the mobile tech space focus on analyzing the ad formats that work with each client as the audience group varies. Also, publishers conduct customized campaigns that would have a great outreach based on the results of the data analytics. From little details like the preferences of the customers, their active time zones to the revenue generated, the data extracted plays a vital role for publishers to gauge the customers’ preferences. It helps in cutting unnecessary costs that would come up as well, due to a systematic marketing approach.

Revenue and the overall impressions are some of the key metrics that are important to the publishers in the data analysis, which can be accurately determined by the automatic web data extraction tools.

Market Researchers Challenges in Research Assignments

Market Researchers Challenges in Research Assignments

Market research is any organized activity conducted to gather information about specific target markets or customers. It is a very important component of business strategy & decision making. Market researchers perform both primary and secondary research to obtain the data and process it into relevant information.

Top challenges facing market researchers* currently are,

1.Existing Market Research Methodology

Overwhelming amount of data makes it difficult to separate out signal from noise. More than 500 websites are being added to the internet space every day. Manually scanning through the data is cumbersome and tough. Many existing techniques to juggle around add to the challenge of getting the right data.


The data being collated manually has a risk of being of poor quality. With volume of data collated increasing manual errors due to human fatigue can seep in. When the collated data is of poor quality, the insights into the mined data stands a high risk of being of bad quality as well.

3.Research Outcomes (For clients)

The expectations of clients are increasing due to the complex business dynamics. Clients expect actionable insights from market research companies, which can help them take quick informed business decisions. Insightful strategic reports delivered within stipulated timelines is becoming an increasing challenge for market research companies globally.

4.Differentiate from your competitors

It’s becoming an increasing challenge for a market researcher to demonstrate unique value and novel contribution in Market Research approaches. The standard market research methodologies followed by most of market research companies don’t help them stand apart from the crowd. Staying relevant with changing technology times  is of prime concern now. With the advent of BIG DATA and analytics, cutting edge techniques should be adopted by the market research companies to stay ahead of the competition. Also, the need of the hour is to avoid commodification of the market research projects (which includes reports, surveys etc.).

5.Clientele Constraint

With ever increasing competition, the clients need the latest up-to-date insightful information delivered super-fast. This would help the clients get an edge over their competition and grow rapidly in the market. The clients often have constraints in terms of the timelines, budget and scope of work involved.


Online Research is an integral part of secondary research. Web data extraction is an essential component of online research. Automation of web data extraction is becoming increasingly an inevitable necessity of the near future. Automation of web data extraction can help save time and effort for the researchers. This has direct impact on increasing the productivity of researchers and thereby increasing the overall output. Also, manual errors during extraction can be eliminated largely by automation.

Market researchers can focus more on providing strategic insights from the data extracted, which would help their clients take business decisions in a better way. Market research companies can easily differentiate themselves from the competition by providing faster, accurate and more insightful information to their clients, thereby gaining a major competitive edge in the market research space. Clients can also expect better insightful market research analysis, due to the bandwidth of market researcher freed from conducting repetitive mundane web extraction activities.

To summarize, most of the top challenges faced by market researchers can be addressed and resolved successfully by automation of online web data extraction activities.

*Reference: The Top 10 Challenges in the Market Research Industry, Murphy, Green Book Blog

Web Data Extraction – Why we need it

Web sites are an integral part of the technological world today. And the rate at which the websites are evolving  over the years has been phenomenal. As per the inputs from the website Internet Livestats,   there are close to one billion websites in the internet, which is clearly an indication of the exponential  rate at which the web sites are being added every second to the internet.

The use and the areas of the web sites to derive data is also growing like never before, across countless sectors. Companies need data  for various purposes like obtaining new customers, tracking industry trends, analyzing a wide variety of data for business purposes, understanding  government regulations and more.

According to a recent case study released by IBM on Big Data analytics,

  • Over 1 billion Google searches happen every day and over 294 billion emails are sent every day.
  • Trillions of sensors monitor, track and communicate with each other, populating the Internet of things with real-time data.
  • Facebook access, analyzes and stores 30 + petabytes of user generated data while Twitter deals with 230 + million Tweets everyday

A result of this mercurial growth of this high volume data, also referred to as ‘Big Data’, the process of extracting , maintaining and tracking the required web data for its productive use is posing challenges – The primary obstacle being the inability to obtain data from secure, trustworthy  websites at a faster rate for online research.

The speed, consistency and reliability are the other key factors which are at stake during the process and overlooking them often leads to redundancy. Handling large volumes of data also leads to inefficient processing, as it becomes increasingly difficult to extract manually.

Automating the web data extraction is obviously the best approach and many organizations are leading the way in finding path-breaking solutions to achieve a reliable way to achieve automation. It is extremely beneficial for harvesting structured information with specific data types. Also, website structure changes are monitored, providing access to the right data at desired intervals.

Automation in web data extraction, thus results in a reduction of redundancy, elimination of the errors, cost overhead .The web data extract is more precise and reliable as the extraction tools are equipped to handle high volumes of data of a wide variety on a consistent basis. The resulting collated structured data from existing websites  makes it easy for the disparate systems to consume the data. The output data can be fed into other enterprise systems of the users such as Web Analytics,CRM, & marketing automation.

By helping organizations eliminate their IT costs, automation of web data extraction has become the front runner in aiding the growth of Big data based enterprises and other data driven businesses.