Customer
Intelligence Report
Report Contents

LBM’s Customer Intelligence report is intended to provide you with a
snapshot of your current customer base. This snapshot utilises six different
analytical techniques to provide your business with a brief yet informative
overview of your customers.

The contents of the report are summarised below

Profile                                                                     Page 3

This section examines your relative penetration in different sectors and companies
to outline who your best acquisition targets are.

Location                                                                    Page 4

This part of the report illustrates the location of your customers, and has many
applications including sales force distribution, targeted regional marketing or
customer service activity.

Product                                                                     Page 5

Product analysis examines what your customers are buying from you. Insight
gleamed from this will help your business target customers based on what they are
most likely to buy.

Transactional                                                               Page 6

This part examines how much, how recently and how often your customers spend
with you, and will help you identify and target your customers by these metrics.

Attrition                                                                   Page 7

How many customers have you lost in the last twelve months ? This section will tell
you, allowing you to asses which sectors you need to target to prevent that churn
from happening
                                                                      2
Better Acquisition – Profile Analysis

LBM Sector Description                                      UK Market   Customers       Index
Agriculture, Hunting and Forestry                            131,436      1,208         178
Hotels & Restaurants                                         288,111      2,460         166                 The Index score is a
Wholesale & Retail                                           766,960      6,378         161                    measure of the
Fishing                                                       2,165         17          152                  relative success in
Mining & Quarrying                                            4,212         25          115                    each category.
Manufacturing                                                394,215      2,267         112
Construction                                                 346,498      1,979         111
                                                                                                             As an example, you
Transport, Storage and Communication                         190,094      1,076         110                     would expect a
Electricity, Gas and Water Supply                             5,346         28          102                  record in a category
Other Community, Social and Personal Service Activities      472,858      2,048         84                   with an Index score
Public Admin and Defence; Compulsory Social Security          34,560       136          76                  of 200 to be twice as
Education                                                    129,336       343          51                  receptive as those in
Real Estate, Renting and Business Services                   712,618      1,455         40                    a category with an
Health & Social Work                                         257,259       394          30                    Index score of 100
Financial Intermediation                                      97,080       108          22
Unknown                                                       32,330        31          19
Private Households Employing Staff                            3,544         1            5
Extra-Territorial Organisation and Bodies                      693          0            0
Total                                                       3,869,315    19,954


    Sector based analysis can be utilised for targeting prospect activity,
     and combined with other relevant variables to create an effective
                           market segmentation.


   Turnover Band         UK Market    Customers           Index
       <£50k              288,045       1,218              82
    £50k - £100k          339,498       1,762             101            Predictive models can help to build a
   £100k - £250k         1,043,033      5,015              93
                                                                            picture of your ideal customer.
   £250k - £500k          594,185       2,833              92
    £500k - £1M           608,617       2,730              87                Turnover is just one of many
     £1M - £5M            577,249       3,829             129                different modelled business
    £5M - £10M             68,232        773              220
                                                                           variables LBM can utilise to build
   £10M - £20M             30,148        463              298
   £20M - £50M             18,857        353              363                         that picture.
       £50M+               10,248        236              447
        Total            3,869,315      19,954             0

                                                                        Employee Band           UK Market     Customers      Index
           The smaller end of the market                                     1 to 5             2,545,437        11,333        86
             typically contains the most                                     6 to 10             500,038         2,964        115
                                                                            11 to 19             228,152         1,482        126
          businesses, but is that your ideal                                20 to 49             242,365         1,925        154
           target market? LBM’s Profile                                     50 to 99              70,858          850         233
         Analysis can give you the ability to                              100 to 199             32,511          491         293
                                                                              200+                32,028          624         378
            identify your best prospects.                                  Unknown               217,926          285          25
                                                                              Total             3,869,315        19,954        0

                                                                                                             3
Improved targeting and efficiency – Location Analysis




                                         The ability to see where your
                                        customers are located enables
                                          your business to focus sales
                                       activity on the areas of highest
                                       need. Conversely, being able to
                                       illustrate where your prospects
                                         are located, allows your sales
                                         function to efficiently service
                                               that requirement.




Maps can be adapted to not
only illustrate the location
of customers or prospects,
but also to inform strategic
 sales activity by creating
 bespoke sales territories.




                                        Customised maps can be created
                                          that function from a UK wide
                                        level all the way down to Street
                                                       level.



                                                          4
Sell More to Customers – Product Analysis


                       Customer       Product 1   Product 2       Product 3      Product 4   Product 5   Product 6
                          998180             0       1               1              1           1             1
                          998180             0       1               1              1           1             1
                         15998075            0       0               1              1           1             0
                         1714764             0       0               1              1           1             0
                         40762572            0       0               0              0           0             1
                         40615420            0       0               1              1           0             0
                         4195151             1       1               1              1           1             0



                 Customer baskets tell you what products are bought together. This can be
                 used to score customers with the additional product they are most likely to
                       buy. This can be used to optimise cross-sell and POP marketing.


Totals                                                    Count
                                                                                        Customers who have only
Number of records                                             5
                                                                                       bought one product can be
Number of baskets                                             10                     targeted for cross-sell activity.
Average number of items per basket                            5                       Customers who buy multiple
                                                                                     products can be identified and
Total Number of products sold                                 15
                                                                                      targeted with specific offers.
Number of different Products sold                             7



Product Combinations                                                     Count

No products                                                              2,000
Product 1; Product 2; Product 3                                          3,000
                                                                                                  Analysing what
Product 4; Product 5; Product 6; Product 7                                50
                                                                                             products combinations
Product 2; Product 9; Product 10                                          20
                                                                                               are bought together
Product 11; Product 18                                                     5
                                                                                             allows your business to
Product 13; Product 4; Product 52                                          5                 create tailored, product
Product 16; Product 1; Product 36; Product 19                              5                     driven marketing.
Product 2; Product 6                                                       5
Product 99; Product 50                                                     2
Product 21; Product 76                                                     1




                                                                                                          5
Improving Marketing ROI – Transactional Analysis

                                                                          Recency Score
                            3,500                                                                                                                     Target customers for reactivation
Number of Customers




                            3,000                                                                                                                      activity or for that all important
                            2,500                                                                                                                   repeat purchase. Using Recency, you
                            2,000
                                                                                                                                                     can identify customers who bought
                            1,500
                                                                                                                                                     from you last month, and also those
                            1,000
                                        500
                                                                                                                                                     whose last purchase was 6, 9 or 12
                                            -                                                                                                                    months ago.
                                                    Least Recent      2         3            4       Most Recent

                                                                                                                                                                  Frequency Score
                                                                                                                                            5,000
                                                Having the ability to identify and


                                                                                                                      Number of Customers
                                                                                                                                            4,000
                                            target customers based on how many
                                             times they have purchased from you,                                                            3,000

                                                enables your marketing to reflect                                                           2,000
                                               customer behaviour. Combine with                                                             1,000
                                               Recency for real targeting power.                                                               -
                                                                                                                                                     Least Freq   2      3       4    Most Freq


                                                                           Monetary Score
                                            2,600
                                                                                                                                                    Utilising Monetary segments, you can
                      Number of Customers




                                            2,550
                                                                                                                                                    identify and target customers based
                                            2,500                                                                                                    on spend levels over time. Combine
                                                                                                                                                      with Frequency for a true average
                                            2,450
                                                                                                                                                     spend, and? Recency for absolute
                                                                                                                                                                 or
                                            2,400                                                                                                              targeting power.
                                                       Least Spend         2        3            4       Most Spend



                                  Recency Score
                                                                   Monetary         Frequency Score
                                                                                                                   Grand Total
                                                                                                                                                            With combined RFM scores you
                                                                    Score       Least Freq       Most Freq                                                  can target customers based on
                                                      Least Spend                 2,769            776                       3,545                          how many times someone has
                                        Least Recent
                                                      Most Spend                  1,367           1,427                      2,794
                                                                                                                                                           purchased within a certain period
                                                      Least Spend                 1,733           1,017                      2,750
                                        Most Recent                                                                                                         of time, split by the amount of
                                                      Most Spend                  1,206           2,294                      3,500
                                                  Total                           7,075           5,514                     12,589                                money they spent.


                                                This allows your business to target customers for winback campaigns using
                                                Recency flags, welcome campaigns using Frequency flags, or development
                                                campaigns using Monetary scores. Combining RFM scores allows you to drill
                                                   down further into your customer base to create a comprehensive and
                                                                  segmented view of customer behaviour

                                                                                                                                                                             6
Preventing Customer Loss – Churn Analysis


  Customer Type                    Count                   %
  Existing                         18,451             63.42%
                                                                     Identifying how many customers you
                                                                     have lost in the last 12 months allows
  Lapsed                             797              2.74%
                                                                     your business to act on attrition with
  New                               9,845             33.84%
                                                                        a pro-active marketing strategy
  Grand Total                      29,093              100%
                                                                         designed to reduce churn, and
                                                                               increase retention.
  Churn Rate                                  2.90%
  Acquisition rate                           34.79%



                                              Acquisition and churn of Customers
              Extra-Territorial Organisation and Bodies
                    Private Households Employing Staff
Other Community, Social and Personal Service Activities
                                  Health & Social Work
                                             Education
 Public Admin and Defence; Compulsory Social Security
             Real Estate, Renting and Business Services
                               Financial Intermediation
                Transport, Storage and Communication
                                  Hotels & Restaurants
                                    Wholesale & Retail
                                          Construction
                      Electricity, Gas and Water Supply
                                        Manufacturing
                                                                                                   Acquisition
                                   Mining & Quarrying
                                                                                                   Churn
                                                Fishing
                      Agriculture, Hunting and Forestry

                                                          0%   10%   20%        30%        40%         50%




        By using tailored churn analysis and modelling, your business can identify which customers in
         which areas require your attention, allowing you to focus your customer targeting where it
                                            can be most effective.




                                                                                            7
Why LBM ?

LBM offer a wide range of lifecycle customer solutions, all designed to get the
best results and highest possible return on investment. From Customer
Intelligence to bespoke contact centre campaigns, LBM’s approach to
Intelligent Contact will ensure the success of your next marketing campaign.




Customer Intelligence is an essential element in any successful organisation.
Knowing more about your customers and potential customers gives your
organisation the edge in what is becoming a more complex and confusing
marketplace.

To find out more about LBM, email us at intelligentcontact@lbm.co.uk or visit
www.lbm.co.uk. If you would like to discuss the content of this report, please
contact the Analytics Team on 0161 616 0631.

                                                               8

LBM Customer Intelligence Report

  • 1.
  • 2.
    Report Contents LBM’s CustomerIntelligence report is intended to provide you with a snapshot of your current customer base. This snapshot utilises six different analytical techniques to provide your business with a brief yet informative overview of your customers. The contents of the report are summarised below Profile Page 3 This section examines your relative penetration in different sectors and companies to outline who your best acquisition targets are. Location Page 4 This part of the report illustrates the location of your customers, and has many applications including sales force distribution, targeted regional marketing or customer service activity. Product Page 5 Product analysis examines what your customers are buying from you. Insight gleamed from this will help your business target customers based on what they are most likely to buy. Transactional Page 6 This part examines how much, how recently and how often your customers spend with you, and will help you identify and target your customers by these metrics. Attrition Page 7 How many customers have you lost in the last twelve months ? This section will tell you, allowing you to asses which sectors you need to target to prevent that churn from happening 2
  • 3.
    Better Acquisition –Profile Analysis LBM Sector Description UK Market Customers Index Agriculture, Hunting and Forestry 131,436 1,208 178 Hotels & Restaurants 288,111 2,460 166 The Index score is a Wholesale & Retail 766,960 6,378 161 measure of the Fishing 2,165 17 152 relative success in Mining & Quarrying 4,212 25 115 each category. Manufacturing 394,215 2,267 112 Construction 346,498 1,979 111 As an example, you Transport, Storage and Communication 190,094 1,076 110 would expect a Electricity, Gas and Water Supply 5,346 28 102 record in a category Other Community, Social and Personal Service Activities 472,858 2,048 84 with an Index score Public Admin and Defence; Compulsory Social Security 34,560 136 76 of 200 to be twice as Education 129,336 343 51 receptive as those in Real Estate, Renting and Business Services 712,618 1,455 40 a category with an Health & Social Work 257,259 394 30 Index score of 100 Financial Intermediation 97,080 108 22 Unknown 32,330 31 19 Private Households Employing Staff 3,544 1 5 Extra-Territorial Organisation and Bodies 693 0 0 Total 3,869,315 19,954 Sector based analysis can be utilised for targeting prospect activity, and combined with other relevant variables to create an effective market segmentation. Turnover Band UK Market Customers Index <£50k 288,045 1,218 82 £50k - £100k 339,498 1,762 101 Predictive models can help to build a £100k - £250k 1,043,033 5,015 93 picture of your ideal customer. £250k - £500k 594,185 2,833 92 £500k - £1M 608,617 2,730 87 Turnover is just one of many £1M - £5M 577,249 3,829 129 different modelled business £5M - £10M 68,232 773 220 variables LBM can utilise to build £10M - £20M 30,148 463 298 £20M - £50M 18,857 353 363 that picture. £50M+ 10,248 236 447 Total 3,869,315 19,954 0 Employee Band UK Market Customers Index The smaller end of the market 1 to 5 2,545,437 11,333 86 typically contains the most 6 to 10 500,038 2,964 115 11 to 19 228,152 1,482 126 businesses, but is that your ideal 20 to 49 242,365 1,925 154 target market? LBM’s Profile 50 to 99 70,858 850 233 Analysis can give you the ability to 100 to 199 32,511 491 293 200+ 32,028 624 378 identify your best prospects. Unknown 217,926 285 25 Total 3,869,315 19,954 0 3
  • 4.
    Improved targeting andefficiency – Location Analysis The ability to see where your customers are located enables your business to focus sales activity on the areas of highest need. Conversely, being able to illustrate where your prospects are located, allows your sales function to efficiently service that requirement. Maps can be adapted to not only illustrate the location of customers or prospects, but also to inform strategic sales activity by creating bespoke sales territories. Customised maps can be created that function from a UK wide level all the way down to Street level. 4
  • 5.
    Sell More toCustomers – Product Analysis Customer Product 1 Product 2 Product 3 Product 4 Product 5 Product 6 998180 0 1 1 1 1 1 998180 0 1 1 1 1 1 15998075 0 0 1 1 1 0 1714764 0 0 1 1 1 0 40762572 0 0 0 0 0 1 40615420 0 0 1 1 0 0 4195151 1 1 1 1 1 0 Customer baskets tell you what products are bought together. This can be used to score customers with the additional product they are most likely to buy. This can be used to optimise cross-sell and POP marketing. Totals Count Customers who have only Number of records 5 bought one product can be Number of baskets 10 targeted for cross-sell activity. Average number of items per basket 5 Customers who buy multiple products can be identified and Total Number of products sold 15 targeted with specific offers. Number of different Products sold 7 Product Combinations Count No products 2,000 Product 1; Product 2; Product 3 3,000 Analysing what Product 4; Product 5; Product 6; Product 7 50 products combinations Product 2; Product 9; Product 10 20 are bought together Product 11; Product 18 5 allows your business to Product 13; Product 4; Product 52 5 create tailored, product Product 16; Product 1; Product 36; Product 19 5 driven marketing. Product 2; Product 6 5 Product 99; Product 50 2 Product 21; Product 76 1 5
  • 6.
    Improving Marketing ROI– Transactional Analysis Recency Score 3,500 Target customers for reactivation Number of Customers 3,000 activity or for that all important 2,500 repeat purchase. Using Recency, you 2,000 can identify customers who bought 1,500 from you last month, and also those 1,000 500 whose last purchase was 6, 9 or 12 - months ago. Least Recent 2 3 4 Most Recent Frequency Score 5,000 Having the ability to identify and Number of Customers 4,000 target customers based on how many times they have purchased from you, 3,000 enables your marketing to reflect 2,000 customer behaviour. Combine with 1,000 Recency for real targeting power. - Least Freq 2 3 4 Most Freq Monetary Score 2,600 Utilising Monetary segments, you can Number of Customers 2,550 identify and target customers based 2,500 on spend levels over time. Combine with Frequency for a true average 2,450 spend, and? Recency for absolute or 2,400 targeting power. Least Spend 2 3 4 Most Spend Recency Score Monetary Frequency Score Grand Total With combined RFM scores you Score Least Freq Most Freq can target customers based on Least Spend 2,769 776 3,545 how many times someone has Least Recent Most Spend 1,367 1,427 2,794 purchased within a certain period Least Spend 1,733 1,017 2,750 Most Recent of time, split by the amount of Most Spend 1,206 2,294 3,500 Total 7,075 5,514 12,589 money they spent. This allows your business to target customers for winback campaigns using Recency flags, welcome campaigns using Frequency flags, or development campaigns using Monetary scores. Combining RFM scores allows you to drill down further into your customer base to create a comprehensive and segmented view of customer behaviour 6
  • 7.
    Preventing Customer Loss– Churn Analysis Customer Type Count % Existing 18,451 63.42% Identifying how many customers you have lost in the last 12 months allows Lapsed 797 2.74% your business to act on attrition with New 9,845 33.84% a pro-active marketing strategy Grand Total 29,093 100% designed to reduce churn, and increase retention. Churn Rate 2.90% Acquisition rate 34.79% Acquisition and churn of Customers Extra-Territorial Organisation and Bodies Private Households Employing Staff Other Community, Social and Personal Service Activities Health & Social Work Education Public Admin and Defence; Compulsory Social Security Real Estate, Renting and Business Services Financial Intermediation Transport, Storage and Communication Hotels & Restaurants Wholesale & Retail Construction Electricity, Gas and Water Supply Manufacturing Acquisition Mining & Quarrying Churn Fishing Agriculture, Hunting and Forestry 0% 10% 20% 30% 40% 50% By using tailored churn analysis and modelling, your business can identify which customers in which areas require your attention, allowing you to focus your customer targeting where it can be most effective. 7
  • 8.
    Why LBM ? LBMoffer a wide range of lifecycle customer solutions, all designed to get the best results and highest possible return on investment. From Customer Intelligence to bespoke contact centre campaigns, LBM’s approach to Intelligent Contact will ensure the success of your next marketing campaign. Customer Intelligence is an essential element in any successful organisation. Knowing more about your customers and potential customers gives your organisation the edge in what is becoming a more complex and confusing marketplace. To find out more about LBM, email us at intelligentcontact@lbm.co.uk or visit www.lbm.co.uk. If you would like to discuss the content of this report, please contact the Analytics Team on 0161 616 0631. 8