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Case study cover
• Data collection through customers
touch points
• CRM objectives and KPIs definition
• Interactions with third party tools
• Data in action for mass
customization
• Monitoring with dedicated
dashboards
Introduction > Analysis > The CRM > Dashboard > The results
• From a classic trading model (2007) to an
innovative eCommerce (2013)
• 3 teams:
– Logistics and customer service
– Product
– Digital
• Operating 2 eCommerces:
– Adomsante on Healthcare
– Natineo on Childcare
Introduction > Analysis > The CRM > Dashboard > The results
Introduction Fond Light
• Website launched in December
2012
– Dedicated to B2C childcare market
– Own Brand (40% of the product range)
– Target parents of babies 0 to 4 years old
• First marketing operations – January
2013
– Traffic ramped up
– Strong customer acquisition
– Acceptable KPIs in terms of ROI and
CoCa
Introduction > Analysis > The CRM > Dashboard > The results
Introduction Natineo
• Initial situation
– No CRM, just several
tools working
independently
– No exploitation of the
customer database
– Only new customers
acquisition
led to
1. Decrease of ROI
2. Very little customer
loyalty
Introduction > Analysis > The CRM > Dashboard > The results
The CRM infernal affair (1/2)
• 3 questions that need answers
– Where is the data coming from ?
– How to keep data up to date ?
– How to use the data ?
• The challenge for the implementation
– Minimum cost
– Maximize usage of internal resources
– Generate adoption for employees
– Knowledge management
Introduction > Analysis > The CRM > Dashboard > The results
The CRM infernal affair (2/2)
Touch points summary
• Where is the data coming from ?
– Website
– Survey
– Forum
– Social Media
– Customer service
– Phone
– Email
• What data your ecommerce is collecting ?
– Analysis of the web forms
• How do you collect the data ?
– Define the required data for the purchase
– Define the required data for your CRM / loyalty program
– And for your marketing action
Introduction > Analysis > The CRM > Dashboard > The results
Data Collection – Find the
source
• How long the accuracy last ?
Pregnant women => fast changing community
• CRM must support operations of data qualification
• Examples
– Lucky Draw
– Father’s day event
– Loyalty program
Introduction > Analysis > The CRM > Dashboard > The results
Acquiring data and data
qualification
• What do you want to use your CRM for ?
– Objectives for Natineo
• Enhance customer loyalty
• Maximize efficiency of customer service
• Increase ROI and maintain low acquisition cost
• Unify process and analytics
Define your KPIs for better monitoring and
improvement
• Global KPIs for Natineo
ROI
Turn over from returning customer
• KPIs per channel
Example for EDM:
Open rate
Turn over generated per campaign
Introduction > Analysis > The CRM > Dashboard > The results
KPIs and objectives
• CRM Strategy
– Focus on customer service
– Develop customer loyalty based on the children
• How-to
– Intensive use of third-party tools
– Consolidate the data on our database
– 2 keywords: API and data feed
Integration with third-party
1. Do not redevelop what others are
doing especially when they are doing it
better
2. Save cost and time
Get back the data
1. Allows more flexibility
2. One place for all statistics
Introduction > Analysis > The CRM > Dashboard > The results
CRM – The idea
• The importance of having a scalable model
What you can do for 1 customer, you should
be able to do it for N customers
• Data feed and APIs
– Automatic customization
– Let the specialist do the hard work for you
– Focus on your business
• Example: the autoresponders
Introduction > Analysis > The CRM > Dashboard > The results
Data in action for mass
customization
• Example of Auto
responders
1. Analyze the
shopping cart
2. Push the products
automatically
• Two objectives
– Refresh data
– Get new data
(customer
demographics…)
• Examples
– Product survey after
product purchase
– Lucky draw
Introduction > Analysis > The CRM > Dashboard > The results
Example of database
(re?)qualification
Two types of dashboard
• Business level
– Directly in the CMS
– Custom KPIs
– Own the data, show the
trends
• Operational level
– Most of the time provided
by the third-party tools
– Dashboards with metrics
from the dedicated service
Introduction > Analysis > The CRM > Dashboard > The results
Monitoring with dedicated
dashboards
• The API world
=> Gather sales from multiple profit centers
• Where are your customers coming from ?
– Know your most efficient channels
– Monitor profit and ROI
– Unify customers data
=> Need a dashboard to monitor all the sales,
regardless their sources
Introduction > Analysis > The CRM > Dashboard > The results
Example of dashboards:
The market places
Social media integration
Use Facebook connect and Open Graph
Gamification of the loyalty program
Monitor customers actions
Increase engagement rate
Management of B2B quotations
Develop another side of the business
Introduction > Analysis > The CRM > Dashboard > The results
The next steps
How to build an eCRM for your eCommerce

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How to build an eCRM for your eCommerce

  • 1.
  • 2. Case study cover • Data collection through customers touch points • CRM objectives and KPIs definition • Interactions with third party tools • Data in action for mass customization • Monitoring with dedicated dashboards Introduction > Analysis > The CRM > Dashboard > The results
  • 3. • From a classic trading model (2007) to an innovative eCommerce (2013) • 3 teams: – Logistics and customer service – Product – Digital • Operating 2 eCommerces: – Adomsante on Healthcare – Natineo on Childcare Introduction > Analysis > The CRM > Dashboard > The results Introduction Fond Light
  • 4. • Website launched in December 2012 – Dedicated to B2C childcare market – Own Brand (40% of the product range) – Target parents of babies 0 to 4 years old • First marketing operations – January 2013 – Traffic ramped up – Strong customer acquisition – Acceptable KPIs in terms of ROI and CoCa Introduction > Analysis > The CRM > Dashboard > The results Introduction Natineo
  • 5.
  • 6. • Initial situation – No CRM, just several tools working independently – No exploitation of the customer database – Only new customers acquisition led to 1. Decrease of ROI 2. Very little customer loyalty Introduction > Analysis > The CRM > Dashboard > The results The CRM infernal affair (1/2)
  • 7. • 3 questions that need answers – Where is the data coming from ? – How to keep data up to date ? – How to use the data ? • The challenge for the implementation – Minimum cost – Maximize usage of internal resources – Generate adoption for employees – Knowledge management Introduction > Analysis > The CRM > Dashboard > The results The CRM infernal affair (2/2)
  • 9. • Where is the data coming from ? – Website – Survey – Forum – Social Media – Customer service – Phone – Email • What data your ecommerce is collecting ? – Analysis of the web forms • How do you collect the data ? – Define the required data for the purchase – Define the required data for your CRM / loyalty program – And for your marketing action Introduction > Analysis > The CRM > Dashboard > The results Data Collection – Find the source
  • 10. • How long the accuracy last ? Pregnant women => fast changing community • CRM must support operations of data qualification • Examples – Lucky Draw – Father’s day event – Loyalty program Introduction > Analysis > The CRM > Dashboard > The results Acquiring data and data qualification
  • 11. • What do you want to use your CRM for ? – Objectives for Natineo • Enhance customer loyalty • Maximize efficiency of customer service • Increase ROI and maintain low acquisition cost • Unify process and analytics Define your KPIs for better monitoring and improvement • Global KPIs for Natineo ROI Turn over from returning customer • KPIs per channel Example for EDM: Open rate Turn over generated per campaign Introduction > Analysis > The CRM > Dashboard > The results KPIs and objectives
  • 12. • CRM Strategy – Focus on customer service – Develop customer loyalty based on the children • How-to – Intensive use of third-party tools – Consolidate the data on our database – 2 keywords: API and data feed Integration with third-party 1. Do not redevelop what others are doing especially when they are doing it better 2. Save cost and time Get back the data 1. Allows more flexibility 2. One place for all statistics Introduction > Analysis > The CRM > Dashboard > The results CRM – The idea
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  • 20. • The importance of having a scalable model What you can do for 1 customer, you should be able to do it for N customers • Data feed and APIs – Automatic customization – Let the specialist do the hard work for you – Focus on your business • Example: the autoresponders Introduction > Analysis > The CRM > Dashboard > The results Data in action for mass customization
  • 21. • Example of Auto responders 1. Analyze the shopping cart 2. Push the products automatically
  • 22. • Two objectives – Refresh data – Get new data (customer demographics…) • Examples – Product survey after product purchase – Lucky draw Introduction > Analysis > The CRM > Dashboard > The results Example of database (re?)qualification
  • 23.
  • 24. Two types of dashboard • Business level – Directly in the CMS – Custom KPIs – Own the data, show the trends • Operational level – Most of the time provided by the third-party tools – Dashboards with metrics from the dedicated service Introduction > Analysis > The CRM > Dashboard > The results Monitoring with dedicated dashboards
  • 25. • The API world => Gather sales from multiple profit centers • Where are your customers coming from ? – Know your most efficient channels – Monitor profit and ROI – Unify customers data => Need a dashboard to monitor all the sales, regardless their sources Introduction > Analysis > The CRM > Dashboard > The results Example of dashboards: The market places
  • 26.
  • 27. Social media integration Use Facebook connect and Open Graph Gamification of the loyalty program Monitor customers actions Increase engagement rate Management of B2B quotations Develop another side of the business Introduction > Analysis > The CRM > Dashboard > The results The next steps

Editor's Notes

  1. Independent toolsNo processVery bad customer retentionReturning customers have a lower bounce rate, double avg visit duration and a transformation rate 3 times higher.Just started the ecommerce on a competitive market. Natineo needed to penetrate the market quickly and create brand awereness.
  2. Prior implementing a CRM, we needed to answer 3 key questions.Fond Light is a small company, with 26 people.Cannot afford the budget and the integration times of classic CRM solutionsThe structure is too small to absorb the additional workload inducted by those solutions. Also people cannot spend their time updating the CRM. It must ease their daily tasks, not the way around.Because of the business model there is a need for flexibility and keep adding value to the company
  3. Very important to know the source of your current data. It will allow you to centralize everything later on.The web form is the way of interacted with the customersExample with Natineo: more than the buyer birthday date, the age of the baby.You have your objectives, you know the data you need.
  4. Once you acquire the data you have to use itCompanies should implement strategies to refresh their dataThe CRM must handle the transformation scenario
  5. Once you get your objectives, you will know the data required to perform your Marketing action.
  6. Before choosing a solution you need to know: You current situation => no CRM Your goals => increase customer loyalty, increase Digital Marketing ROI Your KPIs and metrics => % of returning customersThe solution we decidedRely on the webshop (open source solution) and the databaseDevelop bridges between the different tools and the webshopImport back the necessary data on the webshopUnify process and create custom dashboards for easy monitoringDon’t spend time updated the tools
  7. CRM is build around 3 services:Datafeed managementCustomer service ticket managementAnalyticsMost of the CRM part use the existing tools of employees (ex: Outlook). Less change in the day-to-day task => easier adoptionUse a wiki for the knowledge management
  8. Around those 3 main service we add specialized web services that work together.
  9. Customer service
  10. Datafeed
  11. About the focus on the customer serviceSee in detail the new workflow
  12. Once the schema is defined, the system up and running, you can target customers with dedicated messages.Example of API/ datafeeds usagesRetargeting: behavioral advertising with Criteo and 1000mercis
  13. First example of mass customization
  14. All data have an expire date
  15. Separated lucky draw – One database – Multiple transformation scenarioGather new data (example: age of the father)Refresh / verify data (example: age of the baby)
  16. Dedicated dashboards can be created directly on the service used. Example: Google Analytics.And you can create your own, at Fond Light we created 10 different dashboard dedicated to specific tasks:Digital marketingMarket placesLogisticsCustomer profiles
  17. Having one dashboard that gather all the sales coming from different profit centers allows a faster administration.
  18. Customer satisfaction survey from June to augustShopping cart from January to August. Still increasing as of SeptemberReturning customers in terms of Traffic between February and AugustReturning purchasers in the total number of orders. Between April and AugustROI increased between February and AugustIncrease in returning purchasersApril almost the same ratioNow returning customers represent twice the number of new customersIncrease in average cartDouble in three monthsIncrease in newsletter subscribersMore data to work onLess consuming time to analyze the dataBetter customer service