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Mobile Marketing

Pay Per Click (PPC) Management

Conversion Rate Optimization

Email Marketing

Online Presence Analysis

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info@your business.com

184 Main Collins Street West Victoria 8007


437 S Olive St, Los Angeles




Big Data promises tech savvy solutions within a number of industry sectors.


High-velocity analytical methods can lead to a quick response to changes. Despite being overlooked by most companies; it plays an important role in analyzing data. If the data is deciphered into meaningful information quickly, the company will be able to deliver timely results from actionable insights faster.


Every day, social media sites are bombarded with posts including images, videos, texts, and ideas. People share opinions thoughts and even daily routines on social media. Gathering data from such mediums for analysis gives a 360-degree customer view. This allows businesses to understand their target segments in a more elaborate manner and even micro-segment the market enabling them to create more effective ads and marketing campaigns.


Apart from a collective approach, Ad hoc analysis requires you to analyze data on a need basis. Through this approach the organization can focus on a single area of a rising concern for instance; why is the number of customers decreasing for a particular product? Or what impact does price reduction have on a product?

Ad hoc analysis can be combined in conjunction with 360 degrees to get internal as well as external insights to better understand plenty of other relevant factors regarding customer turnover and retention.


Sentiment analysis offers a great tool for reinvigorating a brand through computationally assessing the opinions and thoughts regarding a product or a service. Social media is heavy with raw data for an analysis of such regard. Extensive daily use of smart and mobile devices has created a storm of opportunities for people to express their feelings for anything, idea or a concept. These feelings are then categorized by the companies under positive, negative or neutral. Any business armed with this data can turn it into a meaningful set of information that may lead to improvement in what they are doing, where they are lacking in and what can they do.


With a host of social media websites, huge amounts of data are collected and processed. This data collected via online interactions through mobile devices and other media, allows marketing agencies to further divide large demographics into smaller segments i.e. micro-segments. Through micro-segmentation, the marketers can create specific content, products, services and offers for a targeted market to anticipate real and substantial returns. Big Data allows the companies to create personalized campaigns for their customers by gathering huge amounts of data each day from different micro-segments.


Big Data is used to analyze the fraud strategies for ad fraud detection. It detects all invalid traffic that is generated through fraudulent means like bots and malware.
A Large volume of information that is publically available makes it increasingly difficult to detect and defend a possible threat in a specific timeframe. The size of an organization is not relevant here, but what is and should be considered, is that fraud is a constant threat to the business and can have a deteriorative effect on the organization; hence it is essential to have improved methods of fraud detection.

Big Data can help identify when the fraud is happening by analyzing the patterns after collecting huge amounts of data. This approach is already followed by a large number of industries like retail, banking, and healthcare etc. analysts can identify abnormalities in the normal behavior. While it is difficult to sniff out the pattern from a single person’s actions, the consolidated behavior of a group(s) can point out noticeable or unusual trends in the patterns. If a trend is spotted that is already established, it’s likely to be flagged hence eliminating the new fraud and making future detection more precise.


The new startup industry has taken the world by storm. It is now easier for entrepreneurs to obtain the capital required to turn their startups into a successful business. Accelerators offer entrepreneurs with opportunities to grow right from the start.  If you have built something or have come up with an idea that can potentially raise money on a large scale, then accelerators are for your good.

Accelerators help companies fine-tune the essential areas of their business in a number of industries like manufacturing, healthcare, logistics, retail, finance, and banking.

For a very little stake in your company, an accelerator offers a number of small investments to get you through the early phases of a startup. They help the entrepreneurs get by the initial hurdles and to prepare and equip them better for the ones coming in the later stages.


A clickstream analysis will show you how, when and where a person entered into a site, how much time was spent on a particular site and on each page of the site and also when and where did they go after.

It provides an aggregated statistic on how long was the website visited for, how frequently users visit and how long they spent on a particular page of the site. This allows companies to make content-related decisions accurately and without giving too much thought. Clickstream helps you answer useful questions like who enters a particular website? What did they click to get there, what did they do when they were there and where did they go from there?

Clickstream data contains a trail of digital breadcrumbs that allows analysts to follow to gain valuable insights and patterns that can be crucial to businesses. Businesses can find out which pages are being visited down to which specific order.

Marketers can then improve on different metrics of the website such as how fast the pages’ load, how quickly the pages are accessed from the server, how much information is transmitted before the end user moves to next page and how many times do they move back and forth between pages. What common interest’s customers have and what path did they take to reach a particular website? What made them purchase a product and why did not they buy a similar product?

Clickstream is a powerful technique to acquire insights into customer segments in order to provide an improved experience for the next customer visits.