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16     Quarter Three 2012
Ignoring
the gut feel
The emerging world
of predictive analytics
With promotional dollars more precious than ever, smart
marketers are always looking to refine their methodologies and
increase their return on investment. In recent times, however,
they may just have found their holy grail - David McNickel
explores the rapidly evolving world of predictive analytics…




F
                or many who studied marketing early in their      company began using demographic & census data to
                careers, there's a timeless adage credited        determine franchise value - and geo-location to determine
                variously to Lord Lever, Henry Ford and John      franchise boundaries - it was able to offer high value fran-
                Wannamaker (and others), that goes some-          chises at a higher cost to the franchisee - but also guaran-
                thing like this; “I know half the money I spend   tee higher returns.
on advertising is wasted, I just don't know which half.” While       − Weight Watchers Australia identified the location
this attitude may have prevailed in the days before comput-       of its member meetings as being critical in the decision
ers and sophisticated data analysis, today no marketer in         process of prospective clients in joining the organisation or
their right mind can afford to blow half their promotional        not. Hold them too far away and people wouldn't join. With
     dollars - and nor should they - as the technology            1500 meetings a week and constant membership churn
           and expertise are readily available to relegate        Weight Watchers turned to locational intelligence to plan
            guesswork to the trash can of bad ideas. What's       optimum meeting sites around the country - and maxi-
            relatively new about data analysis, though, is        mised its membership potential.
           outcome orientation. Whereas number crunch-               − In the UK the Royal Shakespeare theatre company
         ing has typically had an 'historic' focus - providing    analysed its audience's addresses, shows attended and
      answers to rearward facing 'what happened' type             ticket prices paid to develop a marketing plan that boosted
  questions – today's marketers are looking forward, asking       signups to its membership program by 40 per cent - and
'what's going to happen next', and getting answers they           average attendance by more than 70 per cent.
can bank on. Predictive analytics has arrived and is being            − The US Internal Revenue Service uses predictive
used by organisations large and small.                            analytics to detect tax evasion. When a return doesn't stack
   Some recent examples include;                                  up in terms of its average models the filer is selected for
   − Hire A Hubby originally had a 'one size fits all' flat fee   auditing.
approach to selling its franchises. No matter the neigh-             –At Pitney Bowes Asia Pacific, solutions group GM Chris
bourhood, the franchise fee was the same. But when the            Lowther says analytics tools can deliver useable intelli-       ››


                                                                                                          Quarter Three 2012           17
Cover Story // Predictive Analytics




     gence across a broad range of entities. “Pretty much        data the business needs to support those core            matter of weeks depending on the scope of the
     any organisation that has an interest in relatively         processes.” Identifying where that data is and what      project.” A good case in point he says is a recent
     large populations of customers can benefit,” he says.       condition it's in is fundamental to preparation he       project to help a large Australian retailer decide on
     “In the commercial space, it's basically anyone in the      says. “From there they can identify gaps in their        the best locations to position new stores. “From
     business to consumer world. We do a lot of work             knowledge of customers that will enable them to          broadly discussing an idea of what they wanted
     with franchises and retailers, financial service institu-   improve their overall business performance.” Once        to do to engagement was a couple of weeks - and
     tions, telcos - all of which have a geographic interest     data gaps are revealed, businesses (in conjunction       then it was a services project which took 20 work-
     in where their customers and prospects might be             with their analytics partner) can decide where to        ing days at which point we presented our recom-
     and how they might find them. Then there's a lot            source additional data from (census information or       mendations.” In terms of return on investment
     of public sector & government organisations which           list brokers for example) and then how to combine        Lowther says predictive analytics delivers one of the
     have the responsibility for provision of services into      that new data with their existing data sets to enable    quickest returns of any technology solution. “We've
     their communities - so there's a very broad range of        informed decision making. Predictive solutions can       had customers say that the acquisition of this tool
     applications.”                                              be delivered on a case by case basis if businesses       has paid for itself within a week,” he says, “or we
        The decision to seek out an analytical solution          are only looking for occasional one-off insights, says   have other customers say the original purchase
     can be triggered in a number of ways. For example           Lowther, or for organisations adopting analytics as      of services was paid for by the returns from their
     an organisation may have hit a wall when it comes           an integrated part of their business planning there      first campaign.” Overall Lowther says organisations
     to understanding disappointing results or is embark-        are now a range of software solutions that can be        should expect to double their effectiveness and
     ing on an ambitious growth strategy and wants to            implemented and managed internally.                      points to a recent example of an Australian market
     define its objectives and resource allocation based                                                                  research company hired by a major bank to con-
     on real-world analytics rather than gut feel.               Implementation and ROI                                   duct face-to-face surveys. Prior to engaging Pitney
        “Businesses need to plan what they want to                  So what's a likely timeframe for the implementa-      Bowes the researchers were achieving seven to
     achieve,” says Lowther, “uncovering opportunities           tion of a predictive analytics solution? Whereas         eight interviews a day he says. “But after applying a
     and converting those into business objectives.              installing a new ERP, CRM or telephony system            geospatial analytics solution they were able to plan
     One of the things businesses need to cover off in           can often take months and in some cases years,           the visits of their agents - taking into account travel
     preparation is to fundamentally understand how              Lowther says analytics solutions can take a fraction     times, geography & density of population targets -
     their business works right now - from a core pro-           of the time in comparison. “It can be very much          and double that to more than 15 a day.”
     cesses perspective - and then understand what               quicker than that,” he says. “Perhaps as quick as a


18                     Quarter Three 2012
Getting started
                                                            Before they can create a new future based on predictive analyt-
                                                            ics, however, businesses need to make a start. Technology is
                                                            certainly part of the solution, but like any other business solu-
                                                            tion, technology is only an enabler and what's more important is
                                                            to understand that analytics is a process - one that any organisa-
                                                            tion can adopt. Asked to summarize an effective approach, the
“ When you reach a                                          experts recommend the following steps.

certain level of deals you                                  1) Know your business and define your goals
                                                            Be clear on the business objectives for any analytics project. Are
do have to be presenting                                    you trying to identify your most profitable customers, the best

people with the most                                        location for a new store - or potential markets for a new product
                                                            or service? Keeping your analytics projects focused and specific
relevant deals to them. ”                                   is the key to effective outcomes.

Campbell Brown, GrabOne                                     2) Know your data
                                                            Every organisation collects data on its customers and even a
                                                            start-up company can source useable data from a range of pub-
                                                            lic and private sources. Analytics partners can assist in cleaning
Geospatial explained                                        data, defining data gaps and recommending the best data sourc-
    For an industry that is trying to simplify its mes-     es for achieving the business objectives identified in step 1.
sage to clients, the predictive analytics sector is
occasionally burdened with complicated sound-
                                                            3) Start Modelling
                                                            With objectives defined and data sets organised it's time to start
ing terminology for what are actually quite basic
                                                            modelling for the insights your business requires. You may wish
concepts. Although it sounds like a cross between
                                                            to develop an internal analytics resource, or work on an ad-hoc
brain surgery & intergalactic navigation, geospatial
                                                            project by project basis, but whichever option you choose, expe-
analytics, for example, isn't a complicated idea at
                                                            rience tells at this stage, so engage an expert and go to work.
all. “Geospatial basically means information about
location,” says Lowther, “it's as simple as that.” And      4) Deploy & Evaluate
almost all businesses have already gathered geo-            With predictive recommendations in hand, deploy your resources
spatial data on their customers or prospects, he            and test your strategies. Evaluate your success against your
says, probably without realising its value. “In the         objectives and tweak your modelling accordingly – remember-
business world around 80 per cent of customer               ing that analytics isn't a 'set and forget' solution, it's an ongoing
information contains a geospatial element. It could         process.
be an address, a postcode, or even a country but at
whatever level you've usually collected some way of         So where to from here for predictive analytics? At Pitney Bowes,
identifying where a person or an asset is. Identifying      Lowther, perhaps somewhat predictably, says the technology
where people and things actually are in the physical        and potential productivity gains are available now, inexpensive
world - that's geospatial.” Applied to decision making,     and here for the asking. “These solutions are easy to use and
the application of geospatial techniques enables            very affordable,” he says. “It certainly won't hurt for businesses
organisations to apply the appropriate resource to          to have a look because the results that are achievable and the
different scenarios. Crisis response in government          rapid return on investment means the business opportunities
is a good example he says. “In Australia many city          are within the grasp of pretty much any organisation that choos-
councils use geospatial solutions as the basis of an        es to take it on.”
emergency management system. An earthquake, a
bushfire or a chemical spill all have a geo-locational ››


                                                                                                                     Quarter Three 2012   19
Cover Story // Predictive Analytics




                                                       impact, so using geospatial analysis allows councils
                                                       to quickly know who is affected, and in asset terms
                                                       what is affected in a particular area. They then
                                                       clearly understand what the implications are of dif-
                                                       ferent types of emergencies and can mobilise an
                                                       appropriate response.”


                                                       Churn analytics to stop loss
                                                          For most businesses, though, a crisis is nothing as
                                                       dramatic as a bushfire – but the results of things like
                                                       poor customer retention can be no less destructive.
                                                       All marketers agree that it costs many times more
                                                       to acquire a new customer than it does to retain an
                                                       existing one. Despite this, however, most businesses
                                                       are clueless as to why their customers have left –
     “ we can analyse their [historic] behaviour and   and which ones are going to leave next. Predictive
                                                       analytics can be illuminating in this regard says
     look at the triggers, the things that happened    Datamine managing director Mike Parsons. “We're
                                                       not talking about stopping the people who have
     that caused them to leave. Then we model that     left,” he says, “because they're gone already. But we
     and apply it to the remaining customer base and   can analyse their [historic] behaviour and look at
                                                       the triggers, the things that happened that caused
     can say 'based on that modelling, these are the   them to leave. Then we model that and apply it to
                                                       the remaining customer base and can say 'based on
     people who are likely to churn if you don't do    that modelling, these are the people who are likely
     something about it'. ” Mike Parsons, Datamine     to churn if you don't do something about it',” says
                                                       Parsons.
                                                          This insight then allows management to allocate
                                                       resources more efficiently. For example, if a com-


20        Quarter Three 2012
“ You will be able to redeem your
                                                                        coupons, earn your Flybuy points and
                                                                        pay for your purchase via near-field
                                                                        communication - all with a single tap
                                                                        of your phone. That's the future. ”
                                                                        Francisco Cordero, InMobi




pany only has the capacity to make a courtesy call         “What we do is based on broader user behaviour,”      wants to use the phone as a CRM tool to cross sell
to 10 per cent of its customers, then ensuring that        says Brown. “So we bought 75 million email clicks     their own customers they can advertise only to
10 per cent includes the customers identified as           from our email provider ExactTarget. We can see       Vodafone customers.” Rather than randomly plac-
most likely to leave will be much more effective at        what our users were clicking on - what they were      ing mobile advertisements with all smartphone
reducing churn than any other metric for deciding          interested in. We then match that with what they've   users, marketers can narrow their targeting specifi-
who to call. The key here is relevancy. A call made        been liking on Facebook, their purchase history       cally. Device ID technology permits Nokia to run
to a client who is happy with your company is              and demographics. We pull it all into line with an    mobile ads only on Samsung handsets, for example,
essentially wasted effort, but if that call arrives when   algorithm that has a weighting for each data stream   or app developers to advertise only on handsets
a customer has some pressing issue with your busi-         and that shows us what they might have a higher       running a chosen operating system. At Vodafone,
ness – suddenly its relevant, and the relationship will    propensity towards purchasing. When you reach a       m-Commerce manager Bridget Gallen says location
likely be saved.                                           certain level of deals you do have to be presenting   based services can already deliver relevant retailer
                                                           people with the most relevant deals to them,” he      coupons direct to the handsets of phone users
Stay relevant                                              says.                                                 looking for deals in their immediate vicinity - and
    This concept of relevancy also applies to the             While the bulk of GrabOne's current customer       adoption of this type of marketing will only increase
goods and services you're supplying. At 'daily deals'      interactions are still occurring via the internet,    as smartphones become more m-Commerce
website GrabOne, marketing manager Campbell                Brown says transactions via mobile are increasing     capable. “You will be able to redeem your coupons,
Brown says creating offers with increased customer         at a phenomenal pace. “About nine months ago,”        earn your Flybuy points and pay for your purchase
'relevancy' has become critically important for            he says, “our mobile transactions made up 1.5 per     via near-field communication - all with a single tap
boosting the success of advertiser's campaigns.            cent of total monthly transactions whereas now        of your phone. That's the future.”
Brown describes GrabOne “as a local commerce               they make up anything from 14 to 18 per cent. We're
platform” where a range of businesses (often small         working really hard to capture that first mobile
to medium enterprises) offer deals on products             purchase.”
and services to their local community and beyond.             And why is mobile so important? Because it                                  For more on m-Commerce
Building customer rapport and repeat business is           allows customer targeting by both geographic                                   snap the tag or google
important to organisations like this, he says, and         region and by device says mobile marketing                                     “iStart mCommerce”
GrabOne is keenly focused on predictive analytics          experts InMobi's general manager Francisco
as a tool to grow the business. Interestingly, the         Cordero. “Think about telcos, he says. “If Telecom
predictive aspect of GrabOne's relevancy initiatives       wants to buy up all the mobile advertising inven-
is not solely based on customer purchase history.          tory on Vodafone handsets they can. Or if Vodafone


                                                                                                                                                 Quarter Three 2012      21

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iStart - Ignoring the gut feel: The emerging world or predictive analytics

  • 1. Cover Story 16 Quarter Three 2012
  • 2. Ignoring the gut feel The emerging world of predictive analytics With promotional dollars more precious than ever, smart marketers are always looking to refine their methodologies and increase their return on investment. In recent times, however, they may just have found their holy grail - David McNickel explores the rapidly evolving world of predictive analytics… F or many who studied marketing early in their company began using demographic & census data to careers, there's a timeless adage credited determine franchise value - and geo-location to determine variously to Lord Lever, Henry Ford and John franchise boundaries - it was able to offer high value fran- Wannamaker (and others), that goes some- chises at a higher cost to the franchisee - but also guaran- thing like this; “I know half the money I spend tee higher returns. on advertising is wasted, I just don't know which half.” While − Weight Watchers Australia identified the location this attitude may have prevailed in the days before comput- of its member meetings as being critical in the decision ers and sophisticated data analysis, today no marketer in process of prospective clients in joining the organisation or their right mind can afford to blow half their promotional not. Hold them too far away and people wouldn't join. With dollars - and nor should they - as the technology 1500 meetings a week and constant membership churn and expertise are readily available to relegate Weight Watchers turned to locational intelligence to plan guesswork to the trash can of bad ideas. What's optimum meeting sites around the country - and maxi- relatively new about data analysis, though, is mised its membership potential. outcome orientation. Whereas number crunch- − In the UK the Royal Shakespeare theatre company ing has typically had an 'historic' focus - providing analysed its audience's addresses, shows attended and answers to rearward facing 'what happened' type ticket prices paid to develop a marketing plan that boosted questions – today's marketers are looking forward, asking signups to its membership program by 40 per cent - and 'what's going to happen next', and getting answers they average attendance by more than 70 per cent. can bank on. Predictive analytics has arrived and is being − The US Internal Revenue Service uses predictive used by organisations large and small. analytics to detect tax evasion. When a return doesn't stack Some recent examples include; up in terms of its average models the filer is selected for − Hire A Hubby originally had a 'one size fits all' flat fee auditing. approach to selling its franchises. No matter the neigh- –At Pitney Bowes Asia Pacific, solutions group GM Chris bourhood, the franchise fee was the same. But when the Lowther says analytics tools can deliver useable intelli- ›› Quarter Three 2012 17
  • 3. Cover Story // Predictive Analytics gence across a broad range of entities. “Pretty much data the business needs to support those core matter of weeks depending on the scope of the any organisation that has an interest in relatively processes.” Identifying where that data is and what project.” A good case in point he says is a recent large populations of customers can benefit,” he says. condition it's in is fundamental to preparation he project to help a large Australian retailer decide on “In the commercial space, it's basically anyone in the says. “From there they can identify gaps in their the best locations to position new stores. “From business to consumer world. We do a lot of work knowledge of customers that will enable them to broadly discussing an idea of what they wanted with franchises and retailers, financial service institu- improve their overall business performance.” Once to do to engagement was a couple of weeks - and tions, telcos - all of which have a geographic interest data gaps are revealed, businesses (in conjunction then it was a services project which took 20 work- in where their customers and prospects might be with their analytics partner) can decide where to ing days at which point we presented our recom- and how they might find them. Then there's a lot source additional data from (census information or mendations.” In terms of return on investment of public sector & government organisations which list brokers for example) and then how to combine Lowther says predictive analytics delivers one of the have the responsibility for provision of services into that new data with their existing data sets to enable quickest returns of any technology solution. “We've their communities - so there's a very broad range of informed decision making. Predictive solutions can had customers say that the acquisition of this tool applications.” be delivered on a case by case basis if businesses has paid for itself within a week,” he says, “or we The decision to seek out an analytical solution are only looking for occasional one-off insights, says have other customers say the original purchase can be triggered in a number of ways. For example Lowther, or for organisations adopting analytics as of services was paid for by the returns from their an organisation may have hit a wall when it comes an integrated part of their business planning there first campaign.” Overall Lowther says organisations to understanding disappointing results or is embark- are now a range of software solutions that can be should expect to double their effectiveness and ing on an ambitious growth strategy and wants to implemented and managed internally. points to a recent example of an Australian market define its objectives and resource allocation based research company hired by a major bank to con- on real-world analytics rather than gut feel. Implementation and ROI duct face-to-face surveys. Prior to engaging Pitney “Businesses need to plan what they want to So what's a likely timeframe for the implementa- Bowes the researchers were achieving seven to achieve,” says Lowther, “uncovering opportunities tion of a predictive analytics solution? Whereas eight interviews a day he says. “But after applying a and converting those into business objectives. installing a new ERP, CRM or telephony system geospatial analytics solution they were able to plan One of the things businesses need to cover off in can often take months and in some cases years, the visits of their agents - taking into account travel preparation is to fundamentally understand how Lowther says analytics solutions can take a fraction times, geography & density of population targets - their business works right now - from a core pro- of the time in comparison. “It can be very much and double that to more than 15 a day.” cesses perspective - and then understand what quicker than that,” he says. “Perhaps as quick as a 18 Quarter Three 2012
  • 4. Getting started Before they can create a new future based on predictive analyt- ics, however, businesses need to make a start. Technology is certainly part of the solution, but like any other business solu- tion, technology is only an enabler and what's more important is to understand that analytics is a process - one that any organisa- tion can adopt. Asked to summarize an effective approach, the “ When you reach a experts recommend the following steps. certain level of deals you 1) Know your business and define your goals Be clear on the business objectives for any analytics project. Are do have to be presenting you trying to identify your most profitable customers, the best people with the most location for a new store - or potential markets for a new product or service? Keeping your analytics projects focused and specific relevant deals to them. ” is the key to effective outcomes. Campbell Brown, GrabOne 2) Know your data Every organisation collects data on its customers and even a start-up company can source useable data from a range of pub- lic and private sources. Analytics partners can assist in cleaning Geospatial explained data, defining data gaps and recommending the best data sourc- For an industry that is trying to simplify its mes- es for achieving the business objectives identified in step 1. sage to clients, the predictive analytics sector is occasionally burdened with complicated sound- 3) Start Modelling With objectives defined and data sets organised it's time to start ing terminology for what are actually quite basic modelling for the insights your business requires. You may wish concepts. Although it sounds like a cross between to develop an internal analytics resource, or work on an ad-hoc brain surgery & intergalactic navigation, geospatial project by project basis, but whichever option you choose, expe- analytics, for example, isn't a complicated idea at rience tells at this stage, so engage an expert and go to work. all. “Geospatial basically means information about location,” says Lowther, “it's as simple as that.” And 4) Deploy & Evaluate almost all businesses have already gathered geo- With predictive recommendations in hand, deploy your resources spatial data on their customers or prospects, he and test your strategies. Evaluate your success against your says, probably without realising its value. “In the objectives and tweak your modelling accordingly – remember- business world around 80 per cent of customer ing that analytics isn't a 'set and forget' solution, it's an ongoing information contains a geospatial element. It could process. be an address, a postcode, or even a country but at whatever level you've usually collected some way of So where to from here for predictive analytics? At Pitney Bowes, identifying where a person or an asset is. Identifying Lowther, perhaps somewhat predictably, says the technology where people and things actually are in the physical and potential productivity gains are available now, inexpensive world - that's geospatial.” Applied to decision making, and here for the asking. “These solutions are easy to use and the application of geospatial techniques enables very affordable,” he says. “It certainly won't hurt for businesses organisations to apply the appropriate resource to to have a look because the results that are achievable and the different scenarios. Crisis response in government rapid return on investment means the business opportunities is a good example he says. “In Australia many city are within the grasp of pretty much any organisation that choos- councils use geospatial solutions as the basis of an es to take it on.” emergency management system. An earthquake, a bushfire or a chemical spill all have a geo-locational ›› Quarter Three 2012 19
  • 5. Cover Story // Predictive Analytics impact, so using geospatial analysis allows councils to quickly know who is affected, and in asset terms what is affected in a particular area. They then clearly understand what the implications are of dif- ferent types of emergencies and can mobilise an appropriate response.” Churn analytics to stop loss For most businesses, though, a crisis is nothing as dramatic as a bushfire – but the results of things like poor customer retention can be no less destructive. All marketers agree that it costs many times more to acquire a new customer than it does to retain an existing one. Despite this, however, most businesses are clueless as to why their customers have left – “ we can analyse their [historic] behaviour and and which ones are going to leave next. Predictive analytics can be illuminating in this regard says look at the triggers, the things that happened Datamine managing director Mike Parsons. “We're not talking about stopping the people who have that caused them to leave. Then we model that left,” he says, “because they're gone already. But we and apply it to the remaining customer base and can analyse their [historic] behaviour and look at the triggers, the things that happened that caused can say 'based on that modelling, these are the them to leave. Then we model that and apply it to the remaining customer base and can say 'based on people who are likely to churn if you don't do that modelling, these are the people who are likely something about it'. ” Mike Parsons, Datamine to churn if you don't do something about it',” says Parsons. This insight then allows management to allocate resources more efficiently. For example, if a com- 20 Quarter Three 2012
  • 6. “ You will be able to redeem your coupons, earn your Flybuy points and pay for your purchase via near-field communication - all with a single tap of your phone. That's the future. ” Francisco Cordero, InMobi pany only has the capacity to make a courtesy call “What we do is based on broader user behaviour,” wants to use the phone as a CRM tool to cross sell to 10 per cent of its customers, then ensuring that says Brown. “So we bought 75 million email clicks their own customers they can advertise only to 10 per cent includes the customers identified as from our email provider ExactTarget. We can see Vodafone customers.” Rather than randomly plac- most likely to leave will be much more effective at what our users were clicking on - what they were ing mobile advertisements with all smartphone reducing churn than any other metric for deciding interested in. We then match that with what they've users, marketers can narrow their targeting specifi- who to call. The key here is relevancy. A call made been liking on Facebook, their purchase history cally. Device ID technology permits Nokia to run to a client who is happy with your company is and demographics. We pull it all into line with an mobile ads only on Samsung handsets, for example, essentially wasted effort, but if that call arrives when algorithm that has a weighting for each data stream or app developers to advertise only on handsets a customer has some pressing issue with your busi- and that shows us what they might have a higher running a chosen operating system. At Vodafone, ness – suddenly its relevant, and the relationship will propensity towards purchasing. When you reach a m-Commerce manager Bridget Gallen says location likely be saved. certain level of deals you do have to be presenting based services can already deliver relevant retailer people with the most relevant deals to them,” he coupons direct to the handsets of phone users Stay relevant says. looking for deals in their immediate vicinity - and This concept of relevancy also applies to the While the bulk of GrabOne's current customer adoption of this type of marketing will only increase goods and services you're supplying. At 'daily deals' interactions are still occurring via the internet, as smartphones become more m-Commerce website GrabOne, marketing manager Campbell Brown says transactions via mobile are increasing capable. “You will be able to redeem your coupons, Brown says creating offers with increased customer at a phenomenal pace. “About nine months ago,” earn your Flybuy points and pay for your purchase 'relevancy' has become critically important for he says, “our mobile transactions made up 1.5 per via near-field communication - all with a single tap boosting the success of advertiser's campaigns. cent of total monthly transactions whereas now of your phone. That's the future.” Brown describes GrabOne “as a local commerce they make up anything from 14 to 18 per cent. We're platform” where a range of businesses (often small working really hard to capture that first mobile to medium enterprises) offer deals on products purchase.” and services to their local community and beyond. And why is mobile so important? Because it For more on m-Commerce Building customer rapport and repeat business is allows customer targeting by both geographic snap the tag or google important to organisations like this, he says, and region and by device says mobile marketing “iStart mCommerce” GrabOne is keenly focused on predictive analytics experts InMobi's general manager Francisco as a tool to grow the business. Interestingly, the Cordero. “Think about telcos, he says. “If Telecom predictive aspect of GrabOne's relevancy initiatives wants to buy up all the mobile advertising inven- is not solely based on customer purchase history. tory on Vodafone handsets they can. Or if Vodafone Quarter Three 2012 21