MetaQuotes Launches Marketing Analytics Solution

MetaQuotes, the software company behind the ever-present MetaTrader platform, announced the launch of a new Marketing Marketing Marketing is defined as the business process of identifying, anticipating and satisfying customers' needs and wants.This is a crucial element of any operation or brokerage in the financial services space. Well-funded marketing campaigns are instrumental to the survival and longevity of these companies in an increasingly competitive industry.Within the forex space, marketers perform a wide range of functions to help procure, secure, or retain clients.In particular, newer forex brokers also have to handle the acquisition of traders, retaining them for a longer period of time or distinguishing between brokerage and competitors.What Are the Most Common Marketing Strategies Used by FX Brokers?This process can take shape in a variety of forms. Advertising is the most commonly deployed technique for forex marketing.This includes a marketing plan that touches on digital and traditional advertising. Advertising can include banner ads, notifications, newsletters, or other mechanisms for drawing attention to any brand or brokerage.Blog posting or other forms of search engine optimization (SEO) are also effective marketing tools for forex brokers.Well-organized and attractive pieces of content on websites are very useful for users and clients and have proven to be successful marketing strategies.Such efforts also enable websites to be found by those looking for what a broker offers and those who are looking for some knowledge about the trading industry. This can also help generate traffic on landing pages, converting sales. Social media has also rapidly evolved as a critical element of marketing.Forex brokers rely on social media such as Twitter, Facebook, or Linkedin for marketing needs, capable of reaching a huge audience. Ultimately marketing requires efforts on part of brokers to bridge the gap with their desired audience. In this instance, this means potential clients or existing ones. Marketing is defined as the business process of identifying, anticipating and satisfying customers' needs and wants.This is a crucial element of any operation or brokerage in the financial services space. Well-funded marketing campaigns are instrumental to the survival and longevity of these companies in an increasingly competitive industry.Within the forex space, marketers perform a wide range of functions to help procure, secure, or retain clients.In particular, newer forex brokers also have to handle the acquisition of traders, retaining them for a longer period of time or distinguishing between brokerage and competitors.What Are the Most Common Marketing Strategies Used by FX Brokers?This process can take shape in a variety of forms. Advertising is the most commonly deployed technique for forex marketing.This includes a marketing plan that touches on digital and traditional advertising. Advertising can include banner ads, notifications, newsletters, or other mechanisms for drawing attention to any brand or brokerage.Blog posting or other forms of search engine optimization (SEO) are also effective marketing tools for forex brokers.Well-organized and attractive pieces of content on websites are very useful for users and clients and have proven to be successful marketing strategies.Such efforts also enable websites to be found by those looking for what a broker offers and those who are looking for some knowledge about the trading industry. This can also help generate traffic on landing pages, converting sales. Social media has also rapidly evolved as a critical element of marketing.Forex brokers rely on social media such as Twitter, Facebook, or Linkedin for marketing needs, capable of reaching a huge audience. Ultimately marketing requires efforts on part of brokers to bridge the gap with their desired audience. In this instance, this means potential clients or existing ones. Read this Term Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term service this Monday. Called Finteza, the software allows marketers to assess the efficacy of their digital marketing efforts.

According to a statement released by MetaQuotes on Monday morning, the new service is free to use. Anyone that wants to register to use the service can do so by going to the new website that has been set up for Finteza.

Having said this, signing up to access the new solution does require you to agree to a 'subscription service.' Whether or not that means you'll have to start paying to use Finteza down the line is unclear.

MetaQuotes - Seeing Your Clicks, Device Type, and Location

So, you ask, what is it that this new service actually does?

Well, according to Metaquotes, Finteza allows you to gather a mass of data and analytics on user behavior for your website. That information is then compiled into reports that users can access.

In doing this, the firm says, marketers can get a better understanding of what it is they need to improve on, and which parts of their site need to be discarded.

For mobile developers, the tool could prove extremely useful. The software allows users to see how people found their application, what users do when they are on the application and how many of the application developer's goals are achieved.

More broadly, the service allows users to track the number of people who have seen a specific advert and, separately, how many clicked on it. Marketers using the service can also see what device a site visitor is using, what their operating system is and which browser they are using.

Finally, and in true Orwellian fashion, you can see the geographic location that someone is accessing your site from.