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Mining Big Data to Find New Markets




Featuring a team of McKinsey partners: Manish Goyal and Homayoun Hatami




SEPTEMBER 5, 2012
Today’s Speakers

     Manish Goyal   Homayoun Hatami
Big data insights




What color of a used car                              How can a retailer use
                           How did Google make big
 should you chose to                                 product purchase data to
                             money with a subtle
 minimize after sales                                  estimate a pregnant
                                   change?
        issues?                                         woman's due date?
Big data
Scale                          Timeliness                    Diversity



Apple generates 8M log         Expedia updates flight        Google uses social data for
entries per second for Siri    prices by the minute          targeted advertising

                Distribution                  Analytics



                Hospitals share patient       Cars drive themselves with
                info around the world         machine learning
Mining big data to find micro-markets
•   Collect data from multiple sources: Company, channel partners, market
    research, customers and generate insights through advanced analytics and
    experimentation
•   Get personal in selling: Use micro-segmentation to target sales time,
    promotions (e.g., special bundling of products) and selling propositions (e.g.,
    next product to buy)
•   Make it easy for the sales team: Create easy-to-understand toolkits that the
    sales team can act upon
•   Put big data at the heart of marketing and sales: Leverage insights to improve
    decision making and innovate your sales model (e.g., real-time decision-
    making)
CASE STUDY




       Case study: Doubling rate of growth
Situation                         Pain points                  Impact
▪   Leading chemicals player      ▪   Low sales time           Doubled rate of growth
    with high market share
                                  ▪   Unclear on where                             200
▪   Little or no growth in last       opportunity exists
    few years
                                  ▪   Multiple different                                    Lift
                                      data sources, no
                                                                        100
                                      “one source” of truth
                                  ▪   Inability to pin point
                                      root causes of
                                      underperformance
                                                                   Baseline       Rollout
CASE STUDY




      Alignment of sales time with micro-markets to drive
                    new business revenue
Actions
• Redefined criteria for defining    =Rep location
  rep territory                                      Before          After
  – Historically set based on                        ~200 miles      ~200 miles
     existing customer base; not
     set based on opportunity for                    • 55% of time   • 25% of time
     generating new business                         • 25% of        • 25% of
  – Resulted in sales reps                             opportunity     opportunity
     functioning as farmers rather
     than hunters
• Setting rep territory based on
  areas of greatest opportunity                      ~50 miles       ~50 miles
  significantly helped boost                         • 45% of time   • 75% of time
  productivity                                       • 75% of        • 75% of
  – Doubled selling time for reps                      opportunity     opportunity
  – 2x rate of new business
     production, 18 months after
     program launch
CASE STUDY




             How to identify root cause by micro-market
CASE STUDY




            Unlocking deeper and deeper insight
                          Market share in California is 40%; no
                                      opportunity for growth
                                                                                    Market share by
                                            Market share in California              county
                                               countries varies by 4x
                                                                                             Sales rep coverage
                                   Napa which has 10% share is not covered by
                                                                 any sales rep                        Partner coverage

                                         San Luis Obispo with 15% share has no partners
                                                                                                                  Social media
                                                           Acme plumbers are the most influential                 influencers
                                                             partners to sign up in San Luis Obispo
                                                                                                                            Competitor
                                               Riverside has a strong local competitor with better value prop
                                                                                                                                    Voice of customer

                                                           Perceived ease of installations is primary reason for superior
                                                                                      competitor value prop in Riverside
                                                                                                                                                Marketing spend
                                                                               Marketing spend in Riverside should be doubled to
                                                                                                             counter competition                         Cluster analysis
                                                                            Nashville (TN) shows the same characteristics as Riverside. Share
                                                                                                        best practices across micro markets


Note: Example of faucets manufacturer selling through own sales force, channel partners and DIY stores
CASE STUDY




               Driving 20% lift in renewal bookings
          Situation                             Pain points              Impact
           •     New CRM deployment             •   Inaccurate           20% renewals bookings increase
                 provided basic reports,            renewals contract
                 however failed to provide          quoting                                     120
                 integrated customer view       •   Missing contracts                                     Lift
                                                                                  100
           •     Renewals sales practices       •   Excessive use of
                 were driven by rep’s               discounts to drive
                 account knowledge rather           sales
                 than guided by true            •   Same amount of
                 analytic insight                   effort applied to
           •     Rep selling time was limited       small and large
                 by dirty data requiring lots       valued
                 of manual clean up, e.g.           opportunities
                 >60% of time was spent on
                 non-customer facing
                 activities                                                   Baseline          Pilot


1 Bookings target indexed to 100
Build a Big Data toolkit to bring micro-market
            insights to the frontline
  Big Data toolkit changes the way data has traditionally been used
                From …                              To …
                                                    The front line (e.g., country managers)
                  Big Data held centrally in
                                                    access the analysis output and ongoing
                  headquarters but fragmented
                                                    performance monitoring
                  across 20+ data warehouses

                                                    Focused benchmarked approach leads to
                  Analysis paralysis leads to       prioritized tactical granular moves
                  limited insights


                  Looking backwards at what         Predicting greatest impact going forward
                  went wrong                        across comprehensive levers



                  Time-consuming, one-off           Repeatable standardized metrics and
                  hypothesis-driven efforts         templates tied to client’s systems
“Sales Growth: Five Proven Strategies from the World’s Sales Leaders”
     provides practical insights from sales leaders to sales leaders
                                        Contents

                                         I. Find growth before your competitors do
                                         1.      Look 10 quarters ahead
                                         2.      Mine growth beneath the surface
                                         3.      Find big growth in big data
                                         II. Sell the way your customers want
                                         4.      Master multichannel sales
                                         5.      Power growth through digital sales
                                         6.      Innovate direct sales
                                         7.      Invest in partners for mutual profit
                                         8.      Sell like a local in emerging markets
                                         III. Soup up your sales engine
                                         9.      Tune sales operations for growth
                                         10. Build a technological advantage in sales
                                         IV. Focus on your people
    @McK_CMSOForum                       11. Manage performance for growth
                                         12. Build sales DNA
    www.youtube.com/McKinseyCMSOforum    V.      Lead sales growth
                                         13. Drive growth from the very top
    marketingandsales@mckinsey.com       14. Make it happen

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Big data and micromarkets

  • 1. Mining Big Data to Find New Markets Featuring a team of McKinsey partners: Manish Goyal and Homayoun Hatami SEPTEMBER 5, 2012
  • 2. Today’s Speakers Manish Goyal Homayoun Hatami
  • 3. Big data insights What color of a used car How can a retailer use How did Google make big should you chose to product purchase data to money with a subtle minimize after sales estimate a pregnant change? issues? woman's due date?
  • 4. Big data Scale Timeliness Diversity Apple generates 8M log Expedia updates flight Google uses social data for entries per second for Siri prices by the minute targeted advertising Distribution Analytics Hospitals share patient Cars drive themselves with info around the world machine learning
  • 5. Mining big data to find micro-markets • Collect data from multiple sources: Company, channel partners, market research, customers and generate insights through advanced analytics and experimentation • Get personal in selling: Use micro-segmentation to target sales time, promotions (e.g., special bundling of products) and selling propositions (e.g., next product to buy) • Make it easy for the sales team: Create easy-to-understand toolkits that the sales team can act upon • Put big data at the heart of marketing and sales: Leverage insights to improve decision making and innovate your sales model (e.g., real-time decision- making)
  • 6. CASE STUDY Case study: Doubling rate of growth Situation Pain points Impact ▪ Leading chemicals player ▪ Low sales time Doubled rate of growth with high market share ▪ Unclear on where 200 ▪ Little or no growth in last opportunity exists few years ▪ Multiple different Lift data sources, no 100 “one source” of truth ▪ Inability to pin point root causes of underperformance Baseline Rollout
  • 7. CASE STUDY Alignment of sales time with micro-markets to drive new business revenue Actions • Redefined criteria for defining =Rep location rep territory Before After – Historically set based on ~200 miles ~200 miles existing customer base; not set based on opportunity for • 55% of time • 25% of time generating new business • 25% of • 25% of – Resulted in sales reps opportunity opportunity functioning as farmers rather than hunters • Setting rep territory based on areas of greatest opportunity ~50 miles ~50 miles significantly helped boost • 45% of time • 75% of time productivity • 75% of • 75% of – Doubled selling time for reps opportunity opportunity – 2x rate of new business production, 18 months after program launch
  • 8. CASE STUDY How to identify root cause by micro-market
  • 9. CASE STUDY Unlocking deeper and deeper insight Market share in California is 40%; no opportunity for growth Market share by Market share in California county countries varies by 4x Sales rep coverage Napa which has 10% share is not covered by any sales rep Partner coverage San Luis Obispo with 15% share has no partners Social media Acme plumbers are the most influential influencers partners to sign up in San Luis Obispo Competitor Riverside has a strong local competitor with better value prop Voice of customer Perceived ease of installations is primary reason for superior competitor value prop in Riverside Marketing spend Marketing spend in Riverside should be doubled to counter competition Cluster analysis Nashville (TN) shows the same characteristics as Riverside. Share best practices across micro markets Note: Example of faucets manufacturer selling through own sales force, channel partners and DIY stores
  • 10. CASE STUDY Driving 20% lift in renewal bookings Situation Pain points Impact • New CRM deployment • Inaccurate 20% renewals bookings increase provided basic reports, renewals contract however failed to provide quoting 120 integrated customer view • Missing contracts Lift 100 • Renewals sales practices • Excessive use of were driven by rep’s discounts to drive account knowledge rather sales than guided by true • Same amount of analytic insight effort applied to • Rep selling time was limited small and large by dirty data requiring lots valued of manual clean up, e.g. opportunities >60% of time was spent on non-customer facing activities Baseline Pilot 1 Bookings target indexed to 100
  • 11. Build a Big Data toolkit to bring micro-market insights to the frontline Big Data toolkit changes the way data has traditionally been used From … To … The front line (e.g., country managers) Big Data held centrally in access the analysis output and ongoing headquarters but fragmented performance monitoring across 20+ data warehouses Focused benchmarked approach leads to Analysis paralysis leads to prioritized tactical granular moves limited insights Looking backwards at what Predicting greatest impact going forward went wrong across comprehensive levers Time-consuming, one-off Repeatable standardized metrics and hypothesis-driven efforts templates tied to client’s systems
  • 12. “Sales Growth: Five Proven Strategies from the World’s Sales Leaders” provides practical insights from sales leaders to sales leaders Contents I. Find growth before your competitors do 1. Look 10 quarters ahead 2. Mine growth beneath the surface 3. Find big growth in big data II. Sell the way your customers want 4. Master multichannel sales 5. Power growth through digital sales 6. Innovate direct sales 7. Invest in partners for mutual profit 8. Sell like a local in emerging markets III. Soup up your sales engine 9. Tune sales operations for growth 10. Build a technological advantage in sales IV. Focus on your people @McK_CMSOForum 11. Manage performance for growth 12. Build sales DNA www.youtube.com/McKinseyCMSOforum V. Lead sales growth 13. Drive growth from the very top marketingandsales@mckinsey.com 14. Make it happen