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MEASURE YOUR ONLINE BRAND PRESENCE. MEASURE ONLINE AND SOCIAL CAMPAIGN PERFORMANCES
FROM CELCIUS TECHNOLOGIES PVT. LTD.
What is MOBE? Why do you need it now more than ever?
•Cut the Noise and listen to conversations about your brand on the web•Fuse Website Analytics, Inbound and Outbound social marketing data in one place•Gain deep insight into how your competitors are performing•Discover unforeseen opportunities in unknown geographies•Get competitive insights with actionable recommendations to improve brand performance
Why Us and Not the Self Service Tools Scattered Across the Web
Self Service Tools MOBE
Self service tools , such as Sprout Social and Huitsuit Pro, offer machine-driven/learnt data on fixed query parameters, they don’t have different services for different industry verticals.
We first listen to your Business Needs, evaluate your data and then we provide analytics that suits your needs. The insight will be prepared by our people.
Self service tools work best with Internal Data, such as Google Analytics /Omniture data or Facebook/Twitter data, which require access approvals.
MOBE insights are mostly built on External Unorganized Data scattered around the web. We add the Internal Data Layer on top of it to gain accurate, actionable data insight.
Most self service tools don’t offer you custom Big Data query analysis. If they do, they charge you a fortune for that.
MOBE analyses Big Data at many steps. But we don’t charge you extra for that. Extra charges are incurred only when the analysis request is extremely complex and require third party software integration.
What goes around in the name of Big Data these days are not always useful. One always needs to ask before emptying one’s wallet on a popular Big Data insight piece—do I at all need this?
We don’t feed you useless Big Data Cookie that is hard to digest. We look around, and come up with wonderful insights from available datasets .
Before You Start…
•The following slides highlight the basics of MOBE Online Brand Monitoring services. It exclusively uses External Data which a business have no primary control on
•The paid reports would go much deeper and present more incisive analysis of your brand’s online presence.
•The Brand Mention intelligence snapshot was created using a sample of more than 30 million indexed pages. It covers News articles, Blogs and Features on the Entire Web
•The Search Intelligence data uses samples from Google Search Index—the most Authentic Search Data available on the earth
Covers Entire WWWWeb Mention Chart for Emirates. Time Range: 1 Week.
Covers Entire WWW. Mostly Excludes Social Media DataWeb Mention Chart for Emirates. Time Range: 4 Weeks
Covers Entire WWW. Mostly Excludes Social Media DataComparative Web Mention Chart for Emirates, Etihad, British Airways and Lufthansa. Time Range: 4 Weeks
Covers Entire WWW. Mostly Excludes Social Media DataComparative Web Mention Chart for Emirates, Etihad, British Airways and Lufthansa. Time Range: 4 Weeks
Interest in Etihad surges during the Weekends and Emirate’s dips, which
directly impacts Emirates ticket sales.
Interest in Etihad surges during the Weekends and Emirate’s dips, which
directly impacts Emirates ticket sales.
Covers Entire WWWCovers Entire WWW. Mostly Excludes Social Media DataComparative Analysis for Phrases Containing Keyword ‘Emirates’. Time Range: Last 4 Weeks
Covers Entire WWWCovers Entire WWW. Includes Social Media Data Comparative Brand Sentiment Analysis. Time Range: 1 Week
Covers Entire WWWCovers Entire WWW. Completely Excludes Social MediaComparative Brand Sentiment Chart. Time Range: 1 Week
NOWView the Already Presented ‘Mention’ Data in Conjunction with Global Internet Search
Intelligence to Determine Other Important Factors Such as Brand Interest Geography, Interest Timings and Many More.
You Might Ask, Why the Brand Mention Data Itself Doesn’t Factor in Geography Classification? Geography Hasn’t Been Determined in the ‘Mention’ Since Most of the ‘Mention’s are Hosted on Shared /Cloud or Free Servers With Locations Completely Different from the Content Origination Point. Geography Determination Efforts Proved Futile in Most Cases.
Search Intelligence Data that Google and Bing Capture, is accurate Geographically and provides an accurate map of Brand Interest.
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataComparative Brand Interest Intelligence. Past 3-Week’s Data
Inte
rest
Fac
tor
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataComparative Search For Emirates in India, UK and USA
Inte
rest
Fac
tor
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataComparative Search For Emirates in India, UK and USA
Inte
rest
Fac
tor Weekend plunges in
the interest graph of Emirates is a common
phenomenon across countries.
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataComparative Search For Emirates and Singapore Airlines in USA.
Inte
rest
Fac
tor
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataComparative Search For Emirates and Singapore Airlines in USA.
Inte
rest
Fac
tor
Even Singapore Airlines shows the
same weekend-plunge syndrome,
but with less intensity.
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataComparative Search For Emirates, Singapore Airlines and Qatar Airways in USA.
Inte
rest
Fac
tor
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataSearch For Emirates in USA
Inte
rest
Fac
tor
Let’s Now Break The Search into Sub-regions….
Covers Entire WWWBased on Google Search DataSearch For Emirates in USA
Now Let’s Break The Search into Sub-regions….
Covers Entire WWWBased on Google Search DataSearch For Emirates in USA
Let’s Also See the Search Volumes in Each State….
Big business zones.
Covers Entire WWWBased on Google Search DataSearch For Emirates in USA
And If You Want to Map it to Online Ticket Sales Figures….
Sales Figures in $$. Imaginary Data Used for Demonstration Purpose.
Covers Entire WWWBased on Google Search DataSearch For Emirates in USA
Let’s Also Compare Interests in Emirates and Qatar Airways by US Regions!
Covers Entire WWWBased on Google Search DataSearch For Emirates in USA
Let’s Also Compare Interests in Emirates and Qatar Airways by US Regions!
Areas that need focus
Covers Entire WWWBased on Google Search DataView Data on a Map
INTEREST
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
INTEREST
Covers Entire WWWBased on Google Search DataView Data on a Map
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
Covers Entire WWWBased on Google Search DataInterest in Emirates by Indian Sub Regions
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
INTEREST
Covers Entire WWWBased on Google Search DataComparative Interests in Emirates & Qatar AW by Indian Sub Regions.
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
INTEREST
QA SearchEM Search
Covers Entire WWWBased on Google Search DataComparative Interests in Emirates & Qatar AW by USA Sub Regions.
The Interest factor on the Y axis represent search interest relative to the highest point on the chart. If at most 10% of searches for the given region and time frame were for "pizza," we'd consider this 100. This doesn't convey absolute search volume.
INTEREST
Covers Entire WWWBased on Web Mention DataInterest in Emirates in USA.
Let’s bring back the Emirates Web Mention Diagram…
Covers Entire WWWBased on Web Mention and Google Search DataInterest in Emirates by USA Sub Regions.
…And View it Against the Search Interest Data
Interest in Emirates by USA Sub Regions.
And Also, Let’s Bring on the Facebook Business Page Link Click Data.
Dummy Facebook Data Used! We Don’t Have Access to Real Emirates FB Data.
Based on Web Mention and Google Search Data
Covers Entire WWWInterest in Emirates by USA Sub Regions.
And Finally, Let’s Try to Blend All.
Dummy Facebook Data Used! We Don’t Have Access to Real Emirates FB Data.
Based on Web Mention and Google Search Data
Data Sources for Building Insight
1. Google Analytics/Comscore/Omniture Data2. Facebook Insight Data3. Ad Network Paid Campaign Data4. Social Media Campaign Data5. Twitter Business Page Data6. Offline Sales Data with Geography 7. Online Sales Data with Geography 8. Television TAM Data9. Offline Survey Data
How we Integrate
1. We understand your Data Insight needs2. We evaluate the methods of Data Capture or Readymade Data sources3. We may suggest Online & Social Media Campaigns to get Fresh, insightful data4. We suggest social contents that triggers better Social Engagements that can be tracked5. We Create Social Dashboards for Social Publishing and basic Data Monitoring on Special Requests6. We create custom insight reports
How we Integrate
Online and Offline sales performances of a Brand are directly related to its online presence, people’s interest in the Brand and how those people are being engaged online. Since MOBE includes all three sorts of data, the derived insight always leads to action items targeted to boost sales.
MOBE Reports drill down to granular market levels, from significant business zones to smaller market segments based on Search/Mention analysis. MOBE reports always help you unlock potentials in geographies you’ve never cared to think about
MOBE will integrate with your business offering a powerful combo of online marketing and analytic skills—at your boardroom, or at the corner office. Our price advantage helps you save significant amounts that you would have otherwise spent on an analyst. Continuous relationship with MOBE will help you discover new opportunities for your business.
