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MEASURE YOUR ONLINE BRAND PRESENCE. MEASURE ONLINE AND SOCIAL CAMPAIGN PERFORMANCES
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MOBE- Proprietary Analytics Tool

Nov 01, 2014

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kban1967

MOBE is a proprietary analytics tool developed by us at Maverick Minds. It combines measurement of online brand salience, using proprietary tools, and big data to give you a tracking picture of what is happening to a brand and its competitors in the digital media. We can do this for any brand in the world sitting out of our office in Kolkata, India. The acronym MOBE stands for Monitoring Online Brand Equity. This data can be mapped to future sales performance of any brand .
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Page 1: MOBE- Proprietary Analytics Tool

MEASURE YOUR ONLINE BRAND PRESENCE. MEASURE ONLINE AND SOCIAL CAMPAIGN PERFORMANCES

Page 2: MOBE- Proprietary Analytics Tool

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

Page 3: MOBE- Proprietary Analytics Tool

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 .

Page 4: MOBE- Proprietary Analytics Tool

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

Page 5: MOBE- Proprietary Analytics Tool

Covers Entire WWW

Web Mention Chart for Emirates. Time Range: 1 Week. Web Mention Chart for Emirates. Time Range: 1 Week.

Page 6: MOBE- Proprietary Analytics Tool

Covers Entire WWW. Mostly Excludes Social Media Data

Web Mention Chart for Emirates. Time Range: 4 Weeks Web Mention Chart for Emirates. Time Range: 4 Weeks

Page 7: MOBE- Proprietary Analytics Tool

Covers Entire WWW. Mostly Excludes Social Media Data

Comparative Web Mention Chart for Emirates, Etihad, British Airways and Lufthansa. Time Range: 4 Weeks Comparative Web Mention Chart for Emirates, Etihad, British Airways and Lufthansa. Time Range: 4 Weeks

Page 8: MOBE- Proprietary Analytics Tool

Covers Entire WWW. Mostly Excludes Social Media Data

Comparative Web Mention Chart for Emirates, Etihad, British Airways and Lufthansa. Time Range: 4 Weeks Comparative 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.

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.

Page 9: MOBE- Proprietary Analytics Tool

Covers Entire WWWCovers Entire WWW. Mostly Excludes Social Media Data

Comparative Analysis for Phrases Containing Keyword ‘Emirates’. Time Range: Last 4 WeeksComparative Analysis for Phrases Containing Keyword ‘Emirates’. Time Range: Last 4 Weeks

Page 10: MOBE- Proprietary Analytics Tool

Covers Entire WWWCovers Entire WWW. Includes Social Media Data

Comparative Brand Sentiment Analysis. Time Range: 1 WeekComparative Brand Sentiment Analysis. Time Range: 1 Week

Page 11: MOBE- Proprietary Analytics Tool

Covers Entire WWWCovers Entire WWW. Completely Excludes Social Media

Comparative Brand Sentiment Chart. Time Range: 1 WeekComparative Brand Sentiment Chart. Time Range: 1 Week

Page 12: MOBE- Proprietary Analytics Tool

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.

Page 13: MOBE- Proprietary Analytics Tool

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 Data

Comparative Brand Interest Intelligence. Past 3-Week’s DataComparative Brand Interest Intelligence. Past 3-Week’s Data

Inte

rest

Fac

tor

Page 14: MOBE- Proprietary Analytics Tool

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 Data

Comparative Search For Emirates in India, UK and USAComparative Search For Emirates in India, UK and USAIn

tere

st F

acto

r

Page 15: MOBE- Proprietary Analytics Tool

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 Data

Comparative Search For Emirates in India, UK and USAComparative Search For Emirates in India, UK and USAIn

tere

st F

acto

r Weekend plunges in the interest graph of

Emirates is a common phenomenon

across countries.

Weekend plunges in the interest graph of

Emirates is a common phenomenon

across countries.

Page 16: MOBE- Proprietary Analytics Tool

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 Data

Comparative Search For Emirates and Singapore Airlines in USA.Comparative Search For Emirates and Singapore Airlines in USA.In

tere

st F

acto

r

Page 17: MOBE- Proprietary Analytics Tool

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 Data

Comparative Search For Emirates and Singapore Airlines in USA.Comparative Search For Emirates and Singapore Airlines in USA.In

tere

st F

acto

r

Even Singapore Airlines shows the

same weekend-plunge syndrome,

but with less intensity.

Even Singapore Airlines shows the

same weekend-plunge syndrome,

but with less intensity.

Page 18: MOBE- Proprietary Analytics Tool

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 Data

Comparative Search For Emirates, Singapore Airlines and Qatar Airways in USA.Comparative Search For Emirates, Singapore Airlines and Qatar Airways in USA.

Inte

rest

Fac

tor

Page 19: MOBE- Proprietary Analytics Tool

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 Data

Search For Emirates in USASearch For Emirates in USAIn

tere

st F

acto

r

Let’s Now Break The Search into Sub-regions….

Page 20: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Search For Emirates in USASearch For Emirates in USA

Now Let’s Break The Search into Sub-regions….

Page 21: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Search For Emirates in USASearch For Emirates in USA

Let’s Also See the Search Volumes in Each State….

Big business zones.

Big business zones.

Page 22: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Search For Emirates in USASearch 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.

Page 23: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Search For Emirates in USASearch For Emirates in USA

Let’s Also Compare Interests in Emirates and Qatar Airways by US Regions!

Page 24: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Search For Emirates in USASearch For Emirates in USA

Let’s Also Compare Interests in Emirates and Qatar Airways by US Regions!

Areas that need focusAreas that need focus

Page 25: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

View Data on a MapView 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.

Page 26: MOBE- Proprietary Analytics Tool

INTEREST

Covers Entire WWWBased on Google Search Data

View Data on a MapView 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.

Page 27: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Interest in Emirates by Indian Sub RegionsInterest 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

Page 28: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Comparative Interests in Emirates & Qatar AW by Indian Sub Regions.Comparative 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

Page 29: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Google Search Data

Comparative Interests in Emirates & Qatar AW by USA Sub Regions.Comparative 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

Page 30: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Web Mention Data

Interest in Emirates in USA.Interest in Emirates in USA.

Let’s bring back the Emirates Web Mention Diagram…

Page 31: MOBE- Proprietary Analytics Tool

Covers Entire WWWBased on Web Mention and Google Search Data

Interest in Emirates by USA Sub Regions.Interest in Emirates by USA Sub Regions.

…And View it Against the Search Interest Data

Page 32: MOBE- Proprietary Analytics Tool

Interest in Emirates by USA Sub Regions.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

Page 33: MOBE- Proprietary Analytics Tool

Covers Entire WWW

Interest in Emirates by USA Sub Regions.Interest 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

Page 34: MOBE- Proprietary Analytics Tool

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

Page 35: MOBE- Proprietary Analytics Tool

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.

Page 36: MOBE- Proprietary Analytics Tool

Thanks! Happy Analyzing!

For More Details : Kaushik Banerjee [email protected] +919836019393