CDP Buyer Guide
Your step by step guide to Customer Data Platforms
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1. An introduction to Customer Data Platforms (CDPs)
What is a CDP or a Customer data platform and why would I need one?
We’re so glad you asked! Let’s start with an illustration which best demonstrates what a CDP actually is.
CDP key functions explained
A) Collect & unify data
To collect relevant data from your customers, via the various channels they use to interact within your organisation (e.g. email, website queries, online transactions etc). These data points are used to build a persistent, unified customer database accessible to other systems and provide a single customer view (SCV).
B) Create smart audiences
To create smarter segmentation based on a multitude of different data points such as online or in-store behaviour, purchase history, survey responses, channel activity, etc. Audience segments may include high and low propensity to buy, for example. Segmentation can be defined manually or by AI models.
C) Define data taxonomies
To define rule-based triggers on what activation should follow such as the relevant messages to send on what channel.
D) Activate audience activity
To activate the channel activity that drives customer engagement such as personalised email, recommended product to purchase online, content based on topic affinity, ad creatives that are most likely to resonate on a specific social channel or platform.
E) Audience analytics
To analyse audience engagement across all touch points to better understand channel, content and messaging performance to improve future communication activity.
CDPs make data available to other systems and based on their functionality and feature focus they may manage A-E directly or enable it through other systems.
Another way to think of A-E is:
- Listening to your customer
- Understanding them contextually
- Defining what, when and how you should communicate
- Communicating in a personalised and timely fashion
- Continually analysing & improving how you engage your customer
The specific definition of a CDP by key industry sources include:
"A customer data platform is a marketing system that unifies a company’s customer data from marketing and other channels to enable customer modelling and optimise the timing and targeting of messages and offers."
"A customer data platform is packaged software that creates a persistent, unified customer database that is accessible to other systems."
"A CDP centralises customer data from multiple sources and makes it available to systems of insight and engagement."
The flavours of a CDP
CDPs can be bundled or decoupled in a multitude of different ways including one or some of the following:
This is particularly important to note when short listing your CDP which we touch on in more detail in section 03.
CDPs, DMPs, CRMs. But what’s the difference?
A CDP should not be confused with a Customer Relationship Management platform (CRM) or a Data Management Platform (DMP). Let’s break them down:
- CDP – Customer Data Platform
- CRM – Customer Relationship Management platform
- DMP – Data Management Platform
A CRM is technology for managing a company’s relationships and interactions with customers and potential customers by helping with contact management, sales management, and sales productivity. The big difference from a CDP is that a CRM manages relationships already in existence.
A DMP collects anonymous data from different sources, including from outside the business, and classifies and segments it for advertising platforms, so ads can be served to audience segments. A DMP mainly deals in third party data – that is data collected from external sources such as clicks and cookies, not PII (personally identifiable information) data. Privacy concerns circulate this type of data, with large platforms increasingly cracking down on the old cookie and privacy regulations coming into place globally.
A CDP, however, works with first party data – that is data collected from a business’ actual real live customers. A CRM does this too, but not for marketing purposes, it is more for relational purposes.
When used properly, alongside data gathered with consent CDPs deal in real information on real people linked to an identifier, such as an email address. CDPs can combine online and offline data to create targeted marketing campaigns, as well as customise web content and personalise content and offers.
According to the Relevancy Group, 62% of companies leverage a CDP to enable personalisation in email, 55% for advertising, and 53% for real-time targeting.
"A CRM manages customer relationships and interactions (or prospects) with the company, so a CRM wouldn’t typically track an interaction of potential customers on a third-party site... As a result, even though you can use CRM for marketing and service use cases, the focus is really on sales use cases." - Apoorv Durga, MarTech Alliance Consultant
Martech Industry and Growth Advisor, Anand Thaker, agrees. He sees CDPs serving marketers largely in three critical ways:
"First, centralising the operations of the customer helps an organisation become truly focussed around the customer. Brands that leverage CDPs are recognising the benefits of crossing silos within marketing and across other teams across the organisation and partners. Also, the experiences and intelligence give a more central and unified full resolution of the customer to make decisions.
Second, if growth is central for better customer experiences. CDPs and the supporting strategies will enable marketing leaders to evolve into growth executives beyond the department. This will be a transformational change of the profession.
Third, I see CDPs continually becoming more central to stacks eliminating duplication and costly and unnecessary redundancy of customer’s data."
Where the CDP sits in the stack
We’ll cut straight to the chase - a CDP sits in the middle of a Martech stack. This is because it can gather, segment and identify data from your CRM and your DMP, centralise it, while also pushing information out to these platforms as well. And while it might be run by marketing, it can benefit the entire business by cleaning up data and offering a single source of truth which can be used by any business line.
If you want to segment, personalise, and generally delve a little deeper into your customers to better serve them, then a CDP could be the answer. A CDP can also assist with decisioning and activation of marketing campaigns, thanks to the classification of segments pushing personalised messaging to different channels.
Founder and CEO of CabinetM, Anita Brearton, said the objective of a CDP is to have the most complete picture of a customer and their behaviour in order to make informed marketing decisions:
"Companies take different approaches to achieving this. One way is to designate one or more of their existing marketing platforms (like a CRM) as their data repositories and then use a data orchestration/management system to cleanse, append and integrate second and third party data, and then synchronise that data across all relevant platforms. Proponents of this approach will argue that designating an existing platform as the source of truth for customer data is more cost-effective and less complex because it negates the need to introduce another anchor platform into the technology stack."
Anita suggests another approach to implement a standalone platform (CDP) that becomes the single source of truth for customer data. For companies that rely heavily on advertising as a marketing component and have a DMP in place, their DMP can serve as a CDP.
"Fundamentally, to be a CDP the platform should be a repository of customer data (first, second, and third party). Proponents of this approach argue having an independent repository of customer data that feeds other systems makes it easy to manage and update customer data and be responsive in a world of increased regulation around data privacy."
According to Brearton, the foundation for a high-performance marketing technology stack is having a well-thought-out data strategy. Any data strategy should ensure that data is acquired, complete, cleansed, normalised to a company’s specifications, and is leveraged properly across the organisation and stack. Anita concluded by stating:
"The decision to introduce a CDP platform generally comes down to a philosophical decision about data architecture, an assessment of what functionality is already in place, and the technical capabilities of the marketing team."
Why marketers should care?
Ultimately, a CDP can help drive a business’ ability to operate with a data informed and customer-centric marketing approach. Put more simply, with access to more customer data, smarter personalised communications are possible which provide a better customer experience. Plus, more insights are gained from interactions which help drive future marketing activity.
Top 5 reasons for marketers to invest in a CDP
1. Create a single customer view (SCV) enabling you to better understand your customer to make better informed marketing decisions and investments.
2. Optimise performance marketing to drive audience & revenue growth.
3. Improve the customer experience; rich personalised experiences based on data to drive engagement and reduce churn.
4. Improve marketing efficiency; automate data flows & channel activation.
5. Mitigate data risks & ensure compliance.
Creating a single customer view (SCV)
Creating a singular customer view enables you to better understand your customer, resulting in informed marketing decisions and investments.
A CDP puts marketing in control of data unification. As a pre-packaged system configured to meet the challenging data matching requirements marketers face, a CDP unites this valuable data into a singular view of each real business customer.
As MarTech Alliance consultant, Apoorv Durga, points out, this 360 degree customer view is probably the biggest benefit for marketers:
"Marketers now have access to all customer data, and therefore they don’t need to manage silos of customer data. They can run truly omnichannel campaigns across channels and devices, and they can segment and run sophisticated predictive models on these unified customer profiles and customer data.
All of this results in better personalisation, more useful analytics, and an overall improvement to customer experience, which translates into repeat customers, increased loyalty, more leads and sales."
In most businesses, data is collected in separate systems: CRM, websites, apps, events systems, the list goes on. The data sits there, siloed, with minimal sharing across platforms or business departments.
Researchscape reports 46% of marketers only have data from a few of their channels connected, while over a quarter do not have any channels connected whatsoever.
Connecting that data can create a holistic picture of the customer. But more often than not, units of data are kept separated and unable to communicate.
This challenge, combined with traditional methods of collecting data, which then can’t be imported into newer platforms, means there is a wealth of customer data going to waste. Other approaches such as data lakes, collect heaps of data, but requires a lot of resources to manage it and struggle to manage it well.
A CDP provides a smart and simple way to integrate all your data sets. Gaining a true single customer view (SCV) means you can better understand who your customers are. While gaining rich analytics helps to improve audience segmentation, better understand channels which engage users, content topics and types that resonate. This ultimately enables highly informed marketing decisions and investments to be made.
Optimise marketing channel performance
Having a single customer view (SCV) unlocks the ability to deliver the right message to the right person at the right time based on the data harnessed. This optimisation in performance marketing has the potential to significantly drive audience and revenue growth.
Rich personalisation across a range of channels, triggered in real time to the right segment becomes possible, resulting in improved channel performance. For example, you could integrate a CDP with your Facebook and Google Ads to hyper-personalise, pinpoint target audiences and even suppress audiences which underperform, helping drive return on advertising spend (ROAS).
A CDP can also provide improved channel analytics to better understand all customer touchpoints and impact, helping inform and optimise future channel execution.
Improve the customer experience and reduce churn
The result of better-connected customer data points and being able to deliver the right message to the right person at the right time is being able to orchestrate a great customer experience.
Being able to personalise at scale is more important than ever as customer expectations continue to rise. In fact, a customer experience (CX) journey; visiting your site, receiving an email to talking to your sales team, is just as important as the product or service sold.
To stay ahead of the CX game, marketers need to use data on their customers to serve up the right offering, at the right time, to deliver rich personalised experiences. However, according to a Forbes Insights and Treasure Data survey in 2018, 47% of marketers say it takes more than a week, while another 47% say it takes three to five days to analyse and draw conclusions about the success of a marketing campaign or to change CX.
How personalised an experience can you provide if you’re not doing so in a timely fashion? Not very. This is where a CDP bridges that challenge.
Improve marketing efficiency
With a multitude of channels, data points, content, messages, audiences and campaigns marketing the co-ordination and orchestration becomes incredibly complicated and time consuming.
A CDP at the centre of your marketing operations goes a long way to helping streamline the efficiency of marketing and deliver an often-underappreciated return on time (ROT).
Mitigate data risks & ensure compliance
With the introduction of the California Consumer Privacy Act (CCPA), the General Data Protection Regulation (GDPR), plus other privacy laws, effectively managing and respecting customers’ data privacy is more critical than ever. A CDP can help you deliver and manage a robust data governance plan to mitigate your risks both legally and from a brand trust decay perspective.
2.The CDP Landscape
While CDPs first started popping up in 2013 as DMPs were being utilised for other applications, the concept for a CDP is one that’s been around for a while.
Way back when, the CDP was operated manually. The first instance would be corner shop owners writing down what their loyal customers bought, and what they might like to buy in the future. These notes would be tracked over time to be served as recommendations over the phone.
Back then, it was simply known as customer service. Fast forward and rather than customer interactions being tracked by pen and paper, we now have the ability with software platforms and AI to track and target at an exponential scale. Collecting and organising all customer data online and offline.
True CDPs that we know today were formed in 2016, and as the marketing industry and tech vendors quickly recognised their relevance, the market expanded. According to The CDP Institute’s 2020 Industry Update, there was a 48% increase across vendors in 2019, a 64% increase in CDP employment, and a 32% rise in funding. Watch this space.
Marketers have come to recognise the need for unified data and the shortcomings of data lakes, DMPs and CRMs. As GDPR and CCPA and other privacy regulations continuously come into effect, the CDP is not only important to address the demanding customer, it is also important to avoid massive fines.
Prior to 2016, the phrase ‘Customer Data Platform’ was not common, but ‘custom’ CDPs did exist - that is custom-built data platforms to house customer contact and interactions. It was during this period that a greater demand for professional services was heating up, especially as platforms at the time were not really designed with marketers in mind, but for ‘techies.’ Fast forward to 2010, and the CDP was easy to use, intuitive and designed so internal and external stakeholders could easily understand it and leverage its capabilities.
The CDP industry has continued to explode in 2019/2020, reaching 101 vendors, 8,400 employees, and $2.2 billion in funding, according to The CDP Institute’s recent January 2020 Industry Update. Generally, the CDP market is expected to grow to $3.3 billion by 2023, with new vendors popping up almost daily.
The likes of Adobe, Oracle, SAP, Salesforce, and Microsoft have released CDP products.
The future of CDPs
The cookie is dead, long live the CDP!
The CDP is primed to take advantage of the death of the cookie as Google recently decided to make cookies on its platform obsolete within two years. The cookie, which is most often the fuel for DMPs, tracks internet usage across the internet and creates user profiles. This, understandably, raises privacy concerns, and Google isn’t the only platform to get ahead of the ongoing negative consumer perception of cookies.
Cookies have been used widely for advertising and marketing targeting, particularly for programmatic advertising, but they can actually be pretty hit and miss. For long-term customer reach and targeting, a CDP is far more accurate because it uses real data on actual customers, leading to trusted results. In fact, Uber just turned off $100 million of programmatic ad spend and saw no change in results.
It has been proven that consumers are willing to hand over personal data to trusted businesses if it enhances their CX. According to Accenture, in 2019 73% of consumers were willing to share more data when brands are transparent. Accenture also found consumers want a better, more customer-focused experience, and 66% of them are willing to share more personal data in return. In fact, Forbes reports 44% of organisations it surveyed found a CDP is helping drive customer loyalty.
The key here is control and consent. Customers know that to get the level of service they now expect they must provide a certain amount of information, and they are okay with it when a business asks and is transparent about what it will be used for. What they don’t like, and are increasingly aware of, is internet activity being tracked without consent, and data being gathered and then sold to third parties.
It is in this consumer awareness age of big data and privacy where CDPs are coming into their own. As stated, The CDP Institute reports the industry added 14 vendors, 1,300 employees and $236 million in cumulative funding, for six-month growth of 16% at the end of 2019. LUMA State of digital 2019 reported since 2017 there has been $750 million invested in CDPs.
Twelve-month growth rates were 48% for vendors, 64% for employment, and 32% for funding. The CDP Institute estimates 2019 revenue of $1 billion and projects 2020 industry revenue of at least $1.3 billion. The CDP now has 101 vendors, 8,400 employees, and $2.2 billion in funding.
The top five CDP companies based on employment are Segment, Tealium, Treasure Data, SessionM, and Optimove, with the average size of these companies doubling since 2016, while average funding grew from $55 million to $125 million.
Similarly, CDPs are attracting a lot of investment. For example, $50 million in Amperity in July last year, a $35 million investment into CleverTap in October, and a $32 million investment into ActionIQ this year.
While the industry may have started with the smaller pureplay tech vendors, the major players are getting in on growth, with Salesforce, Adobe, Oracle, SAP and Microsoft carving out a piece of the industry. This, in turn, is expected to provide marketers with a little more piece of mind when it comes to adopting this technology.
This all presents an astonishing opportunity for CDP vendors, particularly after Tealium recently found most marketers are planning on switching their CDP in the next 12 months, despite 85% being satisfied with their current platform.
"Since CDPs provide important functionality, several vendors are jumping in. Some of them are rebranding their existing systems, some are pivoting, and some have created CDPs from scratch. This marketplace will remain in flux, with new vendors emerging and some going away, or pivoting.
Because the marketplace is so crowded, vendors will start to differentiate their offerings. We are already seeing different types of differentiation – based on data lifecycle (data management vs data activation), based on AI and ML capabilities, and even based on domains." - Apoorv Durga.
3. CDP Shopping
Do I need a CDP?
So now you’ve got a handle on what a CDP is, the question to ask your marketing function is: Does my business need a CDP?
Do I need a CDP checklist:
- Do I have disparate or siloed data in my organisation?
- Do I want to combine online and offline organisational data?
- Do I want to market to customers in real time?
- Do I want to better understand the customer journey?
- Am I drowning in data and struggling to get insights from it?
- Do I want to personalise my offering to customers?
- Do I want to improve CX?
- Am I currently reliant on outdated and non-compliant third party data?
- Do I want to delve a bit deeper into customers’
wants and needs?
- Do I need a single source of customer truth in the organisation?
- Do I want to be better able to prove marketing ROI?
- Do I want to better integrate my channel marketing activity?
If you have answered yes to any of these questions, then a CDP could absolutely be the answer.
How to select a CDP
So before jumping into the specifics of which CDP is right for you, it’s important to ensure you adopt a methodical approach to any Martech tech selection and implementation. We would recommend the following sequence of events:
- Internal requirement gathering & RFI
- Project steering committee established
- Business use cases – User/business focussed
- Platform use cases – Features/functionality focussed
- Vendor score card
- Vendor selection – (Too often companies jump straight into their selection and it all goes wrong. Often, they don’t spend enough time and money on what follows either)
- Proof of concept
- Implementation & configuration
- Stack integration
- Training & onboarding
- Support & upgrade
- Vendor management
- Audit & review
Now let’s dive into identifying which CDP fits your organisation. A great place to start is by walking through business use cases and platform use cases, defining which ones are most important will inform your RFI, RFP and your vendor score card. This will also ensure you can easily short list the CDPs that will best match your needs before reaching out to a multitude of different providers.
Business use cases
Common business use cases centre around the following key areas, below are some examples of what your specific use case might be:
For each of your business use cases you will want to document specifically what you want a CDP to help solve. Below is a framework that may help collect all.
We would recommend that you go deeper and describe.
Defining your use cases is key to your RFI/RFP documents proving meaningful to CDP vendors. This will allow them to understand your exact requirements and showcase how their solution can play this out when they demo their platform vs providing a generic overview of capabilities.
Creating a vendor score card to mark each vendor is the next step.
Platform use cases
Underpinning each business use case will be a series of features and functionality. These form the platform use cases to frame and score vendors from a different perspective. It’s helpful to create a score covering both areas.
Detailed below are some of the example features and functionality by platform feature:
Beyond your business use cases and platform use cases you also want to assess technical architecture fit as well as areas such as product roadmap, training and support, partnership network etc.
We can’t cover every area of a vendor score card in this guide, but you can access our vendor scoring model and vendor demo questions check list by joining the Martech Alliance Membership or taking our CDP digital training course.
With your use cases documented, vendor scorecard defined, and RFI/RFP created it’s time to start connecting with vendors.
Creating a short list based on your company profile and preference is a good starting point; CDP type (marketing suite vs a pure play CDP), B2B or B2C focus, functional specialism, industry and company size match. You can access our CDP directory to help with this process.
As you progress to chatting with vendors, we would recommend you:
- Take your time & prepare – Don’t rush the process. Make sure you have done your research to better understand the CDP space. Ensure you have details of your data sets available and as well as you documented your vendor score card and questions.
- Run a custom demo – Make sure vendors have your business use cases and business background weeks before your demo so they can sufficiently prepare and tailor what they present so you can make a fair assessment.
- Get into the detail of your data – Get into the nuts and bolts of your data sets to really assess the ease, speed and cost of getting a CDP in place.
- Review vendor case studies – Ask for customer case studies showing key results of their platform.
- Get vendor customer references – and ideally direct access to chat with some of their clients.
- Assess direct and indirect vendor costs – Ensure you get all costs from vendors from data hygiene and onboarding, custom integrations, consulting, training and any other area beyond the platform licensing itself. If the vendor doesn’t cover all areas, ensure you have forecast what additional investment is needed. This could be consultancy to manage your data or an internal new hire such as a marketing analyst/data scientist to be the platform super user.
2021 is the year of the CDP
"Although everyone understands that data is key to improving marketing performance, many organisations still struggle to put the massive amounts of data they have collected to use. With data stored in different formats and silos across the organisation – limiting both access and meaningful analysis – the struggle is real.
Additionally, last year redefined the marketing landscape for many companies. As the pandemic decreased in-person experiences, both consumers and brands relied on virtual tools for everything. Very quickly, it became clear which brands had either already invested in digital marketing tools or which were nimble enough to ramp up digital capabilities.
Many leading organisations have now come to realise that unleashing the power of data calls for a customer data platform (CDP) – one that unifies data, analyses it and pushes it to any systems needing it (websites, personalisation tools, email marketing systems, customer support systems and so on).
CDPs are an excellent tool in building ongoing relationships with customers, because they allow brands to communicate with customers in a much more personalised way. With a good CDP, brands can combine information from across channels, such as social media, emails, web and more. By blending together this information, they can create more personalised offers based not just on purchase history, but interests. This means that customers get content that matters to them, which leaves customers with the feeling of being not just another customer, but an individual. Add in a layer of artificial intelligence – allowing patterns in data to be found and predictions to made – and magic happens…as do conversions!
The bottom line is that a CDP can deliver measurable marketing impact. CDPs can be used to improve the customer experience, grow business and increase profitability." - Tom Bianchi, VP Marketing EMEA, Acquia
Moosejaw X Acquia
Part 1 - Adjusting Discounts
Online retailer Moosejaw specialises in sporting goods for hikers, skiers, climbers and campers. They wanted to vary discount levels in an effort to improve both customer spend and campaign ROI.
Before using Acquia CDP, Moosejaw relied on the old batch-and-blast discounting method. As customers came to expect discounts, these price
cuts lost their effectiveness. Using Acquia CDP, Moosejaw segmented buyers based on Likelihood to Buy (LTB). Customers with a high LTB paid full price. Customers with a medium-high LTB got a small discount (5- 15% off); those with medium LTBs received discounts of 15-25% and those with very low LTBs received a 50% discount.
A 30% increase in margins.
Discounts should be used to encourage specific behaviours. By using LTB, you can fine-tune your discounting strategies, stop over-discounting and improve profitability.
Part 2 - Personalised Emails
Moosejaw wanted to personalise its email outreach by focusing on specific clusters of customers — for example, those interested in snow sports. Before using Acquia CDP, Moosejaw had to rely solely on past purchase data. With Acquia CDP, Moosejaw could create persona-based customer clusters by looking at both purchases of items such as skis and snowboards as well as behaviours indicating customer interest in snow sports.
Moosejaw then created personalised emails about skiing, emphasising ski brands and cold-weather wear.
- 25-41% improvement in clickthrough rates.
- 54-125% improvement in conversion rate.
Clustering customers with machine learning, based on more than purchase history, leads to more effective personalisation and higher conversions.
A Personalized Path to Customer Engagement
"Personalization is one of the hottest topics right now. According to McKinsey, Personalization at scale has the potential to create $1.7 trillion to $3 trillion in new value. And not just adding first names to subject lines or providing “You Might Like” product recommendations, but next-generation personalization that delivers an end to end experience for the consumer using the right content, the right offer, the right channel, and the right sequence of events. In order to deliver this, marketers need to tap into the power of their first and zero party data, the crown jewel of their organization, to create relevant customer insights, intelligence, and enhanced customer experiences.
Marketers create insights by finding key patterns and trends in data. This can only be achieved if data can be integrated, aggregated, and unified into a single customer view. Once the data is in place and accessible, more and more marketers are tapping into the power of machine learning and data science to help them make intelligent decisions around the who, what, when, where, and how to engage with customers.
Amassing large amounts of data and creating analytics and recommendations is useless if marketers can’t do anything with it - or need help from their friends in IT. Marketers need an Engagement Data Platform that takes data, insights, and intelligence, and drives a unique customer journey, personalized content, and a value exchange for every individual customer. As more customers engage with the brand, more data is created and brought into the platform, and more insights are generated and the end to end lifecycle of customer engagement repeats." - Patrick Tripp, SVP, Product Marketing, Cheetah Digital.
Salling Group X Cheetah Digital
How Salling Group Increased Daily Active Loyalty Members by 10x
Over the last half-century, Salling Group has grown to become Denmark’s largest retailer, with its collection of brands “improving everyday life” for Danish shoppers. Its 1,400 stores range from small supermarkets to hypermarkets, discount retailers to department stores, striving to provide the best shopping experience for its many customers. Its 35% market share means that if you’ve spent any time in Denmark you have probably been looked after by one of its brands
Other retailers in Denmark had been operating traditional, transactional (e.g. points) loyalty programs for many years. Salling Group wanted to do something different: a mobile-first program whose benefit to consumers was simple to understand and instantly appealing, while also providing Salling a single view of their in-store and rapidly growing, online customer activities.
Putting the theory into practice
Salling Group turned to Cheetah Digital to build a loyalty program that could be used as an owned digital personalized communication channel, rather than relying on the Facebook and Google walled gardens — imperatively Salling Group wanted to understand its customers through more than just transactions. With Cheetah’s expertise, Salling Group has moved from the theoretical to the practical — quickly collecting and then activating data.
Every time a user makes a purchase the transaction is captured and Salling Group can use this data to deliver contextually relevant, highly personalized offers to the customer. Tokenization means the individual is not identified, but their shopping habits are — keeping things all above board from a compliance perspective.
The machine learning module combined with the personalization layer of Cheetah Loyalty means customers are served discounts for products that are relevant to them.
- If a customer regularly purchases Diet Coke and offers for this exist, they can be targeted with vouchers for this particular product
- Getting deeper, if the customer has a purchase history for maybe vegan produce or perhaps Italian red wine, they can receive offers for these product types
- If none of these matches, then the customer profile can be matched with a similar segment and targeted with appropriate vouchers.
Flipping the perspective, if there is a new product, however niche, Salling Group can find the specific segment that would benefit it and deliver personalized offers to them. This is a great opportunity for both brands, partners, and customers.
Prior to the launch of this proposition, they had a largely anonymous customer base with only a few hundred thousand emails with marketing permission. Jump ahead to today’s view. After just 3-4 months live:
- Hit year 1 membership goal in just 4 weeks
- x10 increase in daily active loyalty members
- #1 & #2 most-downloaded app upon launch in Denmark (ahead of Tik Tok and Instagram)
- Offer redemption increased by more than 10x-15x as compared to non-targeted promotions
Personalization has played a huge role in that success. Providing their customers with offers, not on products they might want them to buy, but instead, on products and categories that they are already frequent purchasers, has driven engagement with the app, increases in visits, spend and of course, advocacy which helps to drive new customer acquisition.
Why is now the time to invest in a Customer Data Platform?
"This digital advance was already happening, the Coronavirus Pandemic has just accelerated it. The impact of this catalyst is that there are more new people going online, those who were already going online - are going online even more, for longer and, they’re shopping from a wider variety of categories, so it’s no surprise online spend has increased in line with these trends.
Whilst global online content consumption has doubled in 2020 (Forbes), keeping track of these interactions and maintaining relevance in our consumers lives – has become increasingly hard. Especially when there are so many digital footprints to disentangle, interpret and understand - the good news is that it can be harnessed and converted into a really strong customer experience through the use of a Customer Data Platform (CDP).
A CDP will ingest all your consumer data from all sources on & offline and cross-device, to create a rich picture of who they are and how you should interact with them. Once they are identified the CDP will use built-in propensity models to determine if they are a new customer, returning customer, churn risk or other segment and allocate relevant messaging via the appropriate channel(s) to them (and if you have real time enabled it will pick the right time as well). At a time when marketing resources are stretched, knowing who your best customers are, what to say to them and where to focus your budget is important.
Essentially, a CDP enables your business to store and translate millions of consumer touchpoints which helps you understand individual buyer behaviours and journeys. This means that as a large enterprise organization with masses of information flowing through your business every second, you can take command of this data and create better customer experiences that make for happier customers and a more profitable business. A CDP is key in maintaining relevance in the connected age." - Andrew Stephenson, Director of Marketing EMEA & India, Treasure Data.
Shiseido X Treasure Data
Sponsored Case study
Loyalty app bridges the online and physical worlds
Launched in 1937, Shiseido’s customer loyalty program has been at the center of their customer communication and branding strategy for 80 years. But it was only in 2012 that they added a digital component. By bringing their loyalty program online, they also brought along a wealth of data. Inside the app, consumers can browse catalogs, order products, search for store locations and receive expert advice and product recommendations.
Keeping up with the customers
Previously, customer communication via the app was based on best guess assumptions about customer behaviour. But customer preferences and behaviour constantly change. To keep up with the dynamic nature of customers’ needs, the company deployed a Treasure Data enterprise customer data platform (CDP) to analyse historical purchase data, demographic data and recent customer behaviour together, all at once.
When the Shiseido team audited the brand’s dozens of customer touchpoints, they discovered that Shiseido had inadvertently created many data silos: disparate sources of customer data disconnected from one another. Shiseido needed a way to bring all these data sources together and join them for a single customer ID. Their incumbent process of extraction, transformation and loading data into a data warehouse was not able to keep up with the dynamic nature of marketing data.
Centralising their own, “first party” data was the first challenge. The second challenge was bringing in third party data from Data Management Platforms (DMPs). Only when these data sources were combined, would Shiseido be able to deliver truly personalised, one-to-one customer experiences. As the team began to deploy Treasure Data, they realised additional benefits of the Treasure Data CDP: A minimal need for engineering time and complete ownership of the entire data platform by the marketing team.
20% in-store revenue increase and 38% growth in net income YOY
The goal was to understand each customer’s evolving preferences to make Shiseido’s loyalty app experience highly personalised. By accurately assessing each customer’s preference and correlating this analysis with customer behaviour, they could design communications on their loyalty app that suited customers’ current needs. In addition, the Shiseido team was able to create models for customer segments based on four types of data:
Not only did Shiseido reach their goal of personalised customer experience, they also saw increased revenue and growth. Modelling customer preferences drove a 20% in-store revenue increase per loyalty program member over the course of a year and an 11% revenue increase and 38% growth in net income year-over-year.
4. Summing It Up
The CDP space has exploded and is only going to get bigger. If you’re looking to gain a 360 degree profile of your customers, optimise your channel marketing, optimise analytics, push data driven marketing efforts or drive marketing efficiency then it’s likely a CDP can help enable one, if not all of these.
Finding the right solution for your organisation isn’t a quick and easy process, so it’s important to understand the range of CDP providers available. Finally, clearly define the use cases of how you would use a platform to arrive at the right fit for your needs. Make sure you follow a methodical process when doing so, from business and platform use cases to creating a vendor score card and doing your due diligence on prospective vendors.