last modified: 2017-10-15
CRM: acronym for "Customer Relationship Management"
A CRM is a software used to manage the commercial relationship between a company and its clients.
A CRM is part of the information system (IS) of the firm. The information system designates all software, human resources and procedures devoted to keep track of all info necessary to the business of the firm - from sales to production, etc.
The information system of a firm comprises many other blocks, besides the CRM:
Large companies often integrate these different blocks into an ERP ("Enterprise Resource Planning"), which is an even larger software able to plug different parts together.
The role of CRMs is evolving, and in this lecture we make the case that "big data" has transformed CRMs radically.
To illustrate, we will compare (and caricature a bit) a CRM from 2000 with a CRM of today:
The name of the CRM - Customer Relationship Management suggests a kind of rich, personalized and human touch.
In practice, CRMs where used for more practical purposes:
We must imagine the CRM software as a tool which supported the management of sales, performing these 3 essential functions:
measuring revenues, through the recording of sales transactions.
controlling the performance of the sales persons, by registering which cashier, which employee performed the sale, or at least at which location the sale took place.
recording the VAT ("Value-added tax") collected through sales, which is a legal obligation for tax declaration purposes.
Do you see the customer being catered for in the functions described above? No? Me neither.
The customer was not completely forgotten: CRM are used to run loyalty programs and campaigns:
Loyalty programs afford discounts and special offers to its members.
They increase the share-of-wallet of the company implementing them: the amount of the customer’s total spending that a business captures in the products and services that it offers.
A study performed on the loyalty programs run by 7 major supermarket chains in the Netherlands has found that it increased revenues for the supermarket running it:
On average, a loyalty program enhances the net yearly revenues of a customer by € 163, but the effects vary between € 91 and € 236
source: Leenheer et al. (2007).
Loyalty programs create extra value for the customer as well through the discounts and special offers they bring. But they tend to be limited in their personalization: typically, every customer can enjoy the same offers, even if many of them are irrelevant (discounts on diapers when you don’t have a child etc.).
Customers registered in a CRM with their postal address (after joining a loyalty program) can be sent promotional material and coupons.
Using printed material prohibits the customization to the personal needs of the customers, since a printed catalogue is the same for every recipient.
This decreases the efficiency of direct mail campaigns.
Changes occurring in the past decade have transformed the landscape of the customer relationship. We should realize that:
Together, Alibaba and Amazon have tripled customers in 5 years, nearing 900 million customers in 2017:
Three key aspects for ad buying and selling:
Ads are displayed across many channels (with retargeting)
Distribution and communication channels have multiplied and fragmented, and each have their different rules for content generation, data streams and communication modes.
retail stores (as usual)
ecommerce websites (since 2000s) and mobile apps (since 2010s)
Multiplication of distribution channels
→ it becomes increasingly hard to record customers actions (is this customer in my shop the same that clicked on this web page 2 minutes ago?): "click and collect" for example, one example of the broader trend called " phygital marketing ".
Note how traditional CRMs are unequipped to command and control this variety of distribution channels.
From brick and mortar + call centers + sms + emails to …
→ Live chat in websites + Facebook + Twitter + Instagram
Communication used to be mainly "outbound" (company pushing campaigns to customers) and occasionally inbound (customers calling or emailing back).
customers expect their point of view to be heard, without being prompted for it.
cross customer conversation has spread (without the intervention of companies and brands)
The high cost of pushing content through ads incentivizes firms to develop inbound communication - this is "inbound marketing".
The expectations of customers have elevated: if your company has a Facebook page, it should not just display a catalogue. It should engage (converse) with customers.
Same with all steps of the customer journey: a CRM should adapt the product (or service) to the profile of the customer.
Several remarks on personalization:
"personalization" is the extreme end: one different view for each different customer or prospect.
Micro-segmentation is the step just before: identifying very precise, tiny segments in the population of customers and prospects.
iii. Personalizing the customer relationship, even when effective, is not inherently a good thing. It has been shown that the Coca-Cola #ShareaCoke campaign is effective at making more children choose a soda with a label to their name, over a healthy drink (paying version of the study here, free version not available).
iv. Personalization through smart CRMs? Companies rated with the best customer service do personalization differently: with humans.
See how Zappos offers a great service to their customers:
or see (in French) how Trainline makes its customers happy.
Explaining the expression "data-driven CRMs":
→ CRMs must turn from a system "supporting the firm’s administration needs" to a a system tuned to "plug, host, analyze and push actions from multiple data sources".
To get such a CRM to run in an organization, the right resources must be gathered:
the CRM itself - recent enough that it can plug and play with a DMP and a large variety of data sources.
a Data Management Platform (DMP) as well. The DMP is the software specializing in receiving data streams from a variety of sources and in a variety of formats, and reconciling them (see the lecture on Data Integration).
software bricks for additional analysis, as needed. For example, Dataiku’s DSS platform.
Adequate human resources:
product managers with a tech culture (you), able to design and deploy a marketing strategy in a data intensive environment.
data scientists who will implement the strategy.
IT engineers to run the pumblery of the software.
Adequate organizational culture:
This is probably the hardest part: making the top management, and the rest of the organization pay attention and believe in the possibilities afforded by these new way to manage customer relationships.
The organization needs to invest and devote enough operational resources to stop doing "business as usual" and develop a data-driven CRM.
Find references for this lesson, and other lessons, here.
This course is made by Clement Levallois.
Discover my other courses in data / tech for business: http://www.clementlevallois.net
Or get in touch via Twitter: @seinecle