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Mobile Location-based Marketing Solutions Analysis and Market Forecast 2013-2018

Mobile Location-based Marketing Solutions Analysis and Market Forecast 2013-2018

Location-Based Marketing (LBM) is a form of mobile marketing that delivers mobile display banner ads, paid search ads, and other forms of ads directly to user handsets often within proximity of point-of-sale (POS) location.

Mobile location based advertising is also increasing and will be almost 65% of total mobile advertising revenue by 2018. LBM is expected to grow 150% by 2020 and location based ad will generate double CTR comparing industry average of 0.4%.

Market growth is fueled by multipurpose use of smart phones & tablet devices such as shopping, entertainment, social networking, mobile commerce etc. Stakeholders’ openness toward adopting mobile LBM technology outweighs other growth factors.

This research analyzes the LBM market, ecosystem, market players, and revenue forecast 2013 - 2018.

Report Benefits:

  • In depth analysis of mobile location search, coupon and proximity solution providers
  • Understand how mobile marketing is a bridge to mobile commerce and the role of location in both
  • Understand the latest LBM technology, market adoption trend, consumer spending and merged role of ecosystem players
  • Identify emerging OSS and monitoring technologies driving continuous presence/location data from carriers that can be leveraged for mobile marketing
  • Identify mobile OS share of LBS devices, global LBM revenue, regional revenue, search vs. display ads wise contribution and market share by ad formats
Companies in Report:
  • Apple
  • AT&T
  • Coupies
  • Foursquare
  • Google
  • Groupon
  • Mobile Commerce
  • NeoMedia
  • Proxama
  • Proximus Mobility
  • Qype
  • Samsung
  • Scanbuy
  • Shopkick
  • Verizon
  • Vodafone
  • Vouchercloud
  • Yahoo
  • Yelp
  • YourbanDeals
  • Yowza
Target Audience:
  • Retail companies
  • Mobile network operators
  • Wireless device companies
  • Bricks and motor merchants
  • Mobile marketing companies
  • Location technology companies
  • Wireless infrastructure companies
  • Mobile and social commerce companies
  • Mobile content and application companies
Please Note: this is delivered as a Zip file.

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

1.0 Introduction
2.0 Location Based Marketing (Lbm) Overview
2.1 Advertising Vs. Marketing
2.2 What Is Location-based Marketing (Lbm)?
2.3 Lbm Technologies
2.4 Lbm Channel And Comparative Analysis
2.5 Location-based Marketing Value Chain
2.6 Latest Industry Developments
2.7 How Is Location-based Search Helping Lbm?
3.0 Ecosystem Analysis
3.1 Mobile Network Operators
3.2 Application Providers
3.3 Content Providers
3.4 Device Manufacturers
3.5 Merchants And Local Companies
3.6 Mobile Software Vendors
4.0 Location Based Coupon Solution Analysis
4.1 Coupies
4.1.1 What Is Coupies?
4.1.2 What Do They Do?
4.1.3 Coupies Functionality
4.1.4 Strength Of Coupies
4.1.5 Benefits For Brands
4.2 Groupon
4.2.1 What Is Groupon?
4.2.2 What Do They Do?
4.2.3 Groupon Functionality
4.2.4 Groupon Strengths
4.2.5 Benefits For Brand
4.3 Vouchercloud
4.3.1 What Is Vouchercloud?
4.3.2 What Does Vouchercloud Do?
4.3.3 Vouchercloud Functionality
4.3.4 Vouchercloud Strengths
4.3.5 Benefits For Brands
4.4 Yourbandeals
4.4.1 What Is Yourbandeals?
4.4.2 What Do They Do?
4.4.3 Yourbeandeals Functionality
4.4.4 Yourbandeals Strengths
4.4.5 Benefits For Brands
4.5 Yowza
4.5.1 What Is Yowza?
4.5.2 What Do They Do?
4.5.3 Yowza Functionality
4.5.4 Yowza Strengths
4.5.5 Benefits For Brands
5.0 Mobile Local Search Solution Analysis
5.1 Mobile Commerce ( The Company)
5.1.1 What Is Mobile Commerce?
5.1.2 What Do They Do?
5.1.3 Mobile Commerce Functionality
5.1.4 Mobile Commerce
5.1.5 Benefits For Brands
5.2 Yelp
5.2.1 What Is Yelp?
5.2.2 What Do They Do?
5.2.3 Yelp Functionality
5.2.4 Yelp Strengths
5.2.5 Benefits For Brand
5.3 Qype
5.3.1 What Is Qype?
5.3.2 What Do They Do?
5.3.3 Qype Functionality
5.3.4 Qype Strengths
5.3.5 Benefit For Brands
6.0 Proximity Mobile Marketing Solution Analysis
6.1 Neomedia
6.1.1 What Is Neomedia?
6.1.2 What Do They Do?
6.1.3 Benefits For Brands
6.2 Proxama
6.2.1 What Is Proxama?
6.2.2 What Do They Do?
6.2.3 Proxama Strengths
6.2.4 Benefits For Brands
6.3 Proximus Mobility
6.3.1 What Is Proximus Mobility?
6.3.2 What Do They Do?
6.3.3 Proxama Strengths
6.4 Scanbuy
6.4.1 What Is Scanbuy?
6.4.2 What Do They Do?
6.4.3 Scanbuy Strengths
7.0 Market Forecast
7.1 Location Based Service (Lbs) Revenue Market Share 2013 – 2018
7.2 Location-based Search Devices By Mobile Os 2013
7.3 Global Mobile Lbm Revenue 2013-2018
7.4 Regional Distribution Of Mobile Lbm Revenue 2013 – 2018
7.5 Mobile Lbm Revenue By Mobile Search Vs. Display 2013-2018
7.6 Mobile Lbm Revenue By Ad Format 2013 - 2018
8.0 Conclusions And Recommendations
8.1 Conclusions
8.1.1 Lbm Is A Bridge To Mobile Commerce
8.1.2 Lbm And Mobile Commerce: A Continuum Of Opportunities
8.2 Recommendations
8.2.1 Mobile Network Operators
8.2.2 Infrastructure Providers
8.2.3 Wireless Device And Os Providers
8.2.4 Retailers
Appendix: Location Technologies
List of Graphs
Figure 1: Differences between Advertising and Marketing
Figure 2: Location-based Marketing Value Chain
Figure 3: Technology and Mobile Data Collection Model
Figure 4: COUPIE Functionality
Figure 5: Groupon One Touch Solution Interface
Figure 6: Vouchercloud Discount Coupons
Figure 7: YourbanDeals Location Finder Application
Figure 8: Yowza Promotional Deal
Figure 9: Monetized Search vs. Display to Search
Figure 10: Top Mobile Search by Category
Figure 11: Top 20 Mobile Search Terms
Figure 12: Yelp Interactive Map
Figure 13: Qype Location Finder
Figure 14: NeoMedia Barcode
Figure 15: Proxama Services
Figure 16: Proxama Comparison Dashboard
Figure 17: Scanbuy Barcode Reader
Figure 18: LBS ROI Share among Region 2013
Figure 19: Mobile OS Share of LBS Devices
Figure 20: Global Mobile Location Based Marketing Revenue 2013 – 2018
Figure 21: Mobile LBM Revenue by Mobile Search vs. Display 2013-2018
List of Tables
Table 1: Comparison of LBM Channels
Table 2: Regional Mobile LBM Revenue ($B) 2013 - 2018
Table 3: Mobile LBM Revenue by Ad Format ($M) 2013 - 2018

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