Tag Archives: customer-centric

Great Customer Experiences Start with Great Customer Data

TCRM

Are your customer-facing teams empowered with the great customer data they need to deliver great customer experiences?

On Saturday, I got a call from my broadband company on my mobile phone. The sales rep pitched a great limited-time offer for new customers. I asked him whether I could take advantage of this great offer as well, even though I am an existing customer. He was surprised.  “Oh, you’re an existing customer,” he said, dismissively. “No, this offer doesn’t apply to you. It’s for new customers only. Sorry.” You can imagine my annoyance.

If this company had built a solid foundation of customer data, the sales rep would have had a customer profile rich with clean, consistent, and connected information as reference. If he had visibility into my total customer relationship with his company, he’d know that I’m a loyal customer with two current service subscriptions. He’d know that my husband and I have been customers for 10 years at our current address. On top of that, he’d know we both subscribed to their services while live at separate addresses before we were married.

Unfortunately, his company didn’t arm him with the great customer data he needs to be successful. If they had, he could have taken the opportunity to offer me one of the four services I currently don’t subscribe to—or even a bundle of services. And I could have shared a very different customer experience.

Every customer interaction counts

Executives at companies of all sizes talk about being customer-centric, but it’s difficult to execute on that vision if you don’t manage your customer data like a strategic asset. If delivering seamless, integrated, and consistent customer experiences across channels and touch points is one of your top priorities, every customer interaction counts. But without knowing exactly who your customers are, you cannot begin to deliver the types of experiences that retain existing customers, grow customer relationships and spend, and attract new customers.

How would you rate your current ability to identify your customers across lines of business, channels and touch points?

Many businesses, however, have anything but an integrated and connected customer-centric view—they have a siloed and fragmented channel-centric view. In fact, sales, marketing, and call center teams often identify siloed and fragmented customer data as key obstacles preventing them from delivering great customer experiences.

ChannelCRM

Many companies are struggling to deliver great customer experiences across channels, because  their siloed systems give them a channel-centric view of customers

According to Retail Systems Research, creating a consistent customer experience remains the most valued capability for retailers, but 55 % of those surveyed indicated their biggest inhibitor was not having a single view of the customer across channels.

Retailers are not alone. An SVP of marketing at a mortgage company admitted in an Argyle CMO Journal article that, now that his team needs to deliver consistent customer experiences across channels and touch points, they realize they are not as customer-centric as they thought they were.

Customer complexity knows no bounds

The fact is, businesses are complicated, with customer information fragmented across divisions, business units, channels, and functions.

Citrix, for instance, is bringing together valuable customer information from 4 systems. At Hyatt Hotels & Resorts, it’s about 25 systems. At MetLife, it’s 70 systems.

How many applications and systems would you estimate contain valuable customer information at your company?

Based on our experience working with customers across many industries, we know the total customer relationship allows:

  • Marketing to boost response rates by better segmenting their database of contacts for personalized marketing offers.
  • Sales to more efficiently and effectively cross-sell and up-sell the most relevant offers.
  • Customer service teams to resolve customers’ issues immediately, instead of placing them on hold to hunt for information in a separate system.

If your marketing, sales, and customer service teams are struggling with inaccurate, inconsistent, and disconnected customer information, it is costing your company revenue, growth, and success.

Transforming customer data into total customer relationships

Informatica’s Total Customer Relationship Solution fuels business and analytical applications with clean, consistent and connected customer information, giving your marketing, sales, e-commerce and call center teams access to that elusive total customer relationship. It not only brings all the pieces of fragmented customer information together in one place where it’s centrally managed on an ongoing basis, but also:

  • Reconciles customer data: Your customer information should be the same across systems, but often isn’t. Assess its accuracy, fixing and completing it as needed—for instance, in my case merging duplicate profiles under “Jakki” and “Jacqueline.”
  • Reveals valuable relationships between customers: Map critical connections­—Are individuals members of the same household or influencer network? Are two companies part of the same corporate hierarchy? Even link customers to personal shoppers or insurance brokers or to sales people or channel partners.
  • Tracks thorough customer histories: Identify customers’ preferred locations; channels, such as stores, e-commerce, and catalogs; or channel partners.
  • Validates contact information: Ensure email addresses, phone numbers, and physical addresses are complete and accurate so invoices, offers, or messages actually reach customers.
PCRM

With a view of the Total Customer Relationship, teams are empowered to deliver great customer experiences

This is just the beginning. From here, imagine enriching your customer profiles with third-party data. What types of information help you better understand, sell to, and serve your customers? What are your plans for incorporating social media insights into your customer profiles? What could you do with this additional customer information that you can’t do today?

We’ve helped hundreds of companies across numerous industries build a total customer relationship view. Merrill Lynch boosted marketing campaign effectiveness by 30 percent. Citrix boosted conversion rates by 20%. A $60 billion global manufacturer improved cross-sell and up-sell success by 5%. A hospitality company boosted cross-sell and up-sell success by 60%. And Logitech increased sales across channels, including their online site, retail stores, and distributors.

Informatica’s Total Customer Relationship Solution empowers your people with confidence, knowing that they have access to the kind of great customer data that allows them to surpass customer acquisition and retention goals by providing consistent, integrated, and seamless customer experiences across channels. The end result? Great experiences that customers are inspired to share with their family and friends at dinner parties and on social media.

Do you have a terrible customer experience or great customer experience to share? If so, please share them with us and readers using the Comment option below.

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Posted in B2B, Business Impact / Benefits, Business/IT Collaboration, CIO, CMO, Customer Acquisition & Retention, Data Integration, Data Quality, Data Services, Enterprise Data Management, Master Data Management, Total Customer Relationship | Tagged , , , , , , , , , | Leave a comment

Don’t Rely on CRM as Your Single Source of Trusted Customer Data

Step 1: Determine if you have a customer data problem

A statement I often hear from marketing and sales leaders unfamiliar with the concept of mastering customer data is, “My CRM application is our single source of trusted customer data.” They use CRM to onboard new customers, collecting addresses, phone numbers and email addresses. They append a DUNS number. So it’s no surprise they may expect they can master their customer data in CRM. (To learn more about the basics of managing trusted customer data, read this: How much does bad data cost your business?)

It may seem logical to expect your CRM investment to be your customer master – especially since so many CRM vendors promise a “360 degree view of your customer.” But you should only consider your CRM system as the source of truth for trusted customer data if:

Shopper
For most large enterprises, CRM never delivered on that promise of a trusted 360-degree customer view.

 ·  You have only a single instance of Salesforce.com, Siebel CRM, or other CRM

·  You have only one sales organization (vs. distributed across regions and LOBs)

·  Your CRM manages all customer-focused processes and interactions (marketing, service, support, order management, self-service, etc)

·  The master customer data in your CRM is clean, complete, fresh, and free of duplicates


Unfortunately most mid-to-large companies cannot claim such simple operations. For most large enterprises, CRM never delivered on that promise of a trusted 360-degree customer view. That’s what prompted Gartner analysts Bill O’Kane and Kimbery Collins to write this report,
 MDM is Critical to CRM Optimization, in February 2014.

“The reality is that the vast majority of the Fortune 2000 companies we talk to are complex,” says Christopher Dwight, who leads a team of master data management (MDM) and product information management (PIM) sales specialists for Informatica. Christopher and team spend each day working with retailers, distributors and CPG companies to help them get more value from their customer, product and supplier data. “Business-critical customer data doesn’t live in one place. There’s no clear and simple source. Functional organizations, processes, and systems landscapes are much more complicated. Typically they have multiple selling organizations across business units or regions.”

As an example, listed below are typical functional organizations, and common customer master data-dependent applications they rely upon, to support the lead-to-cash process within a typical enterprise:

·  Marketing: marketing automation, campaign management and customer analytics systems.
·  Ecommerce: e-commerce storefront and commerce applications.
·  Sales: sales force automation, quote management,
·  Fulfillment: ERP, shipping and logistics systems.
·  Finance: order management and billing systems.
·  Customer Service: CRM, IVR and case management systems.

The fragmentation of critical customer data across multiple organizations and applications is further exacerbated by the explosive adoption of Cloud applications such as Salesforce.com and Marketo. Merger and acquisition (M&A) activity is common among many larger organizations where additional legacy customer applications must be onboarded and reconciled. Suddenly your customer data challenge grows exponentially.  

Step 2: Measure how customer data fragmentation impacts your business

Ask yourself: if your customer data is inaccurate, inconstant and disconnected can you:

Customer data is fragmented across multiple applications used by business units, product lines, functions and regions.

Customer data is fragmented across multiple applications used by business units, product lines, functions and regions.

·  See the full picture of a customer’s relationship with the business across business units, product lines, channels and regions?  

·  Better understand and segment customers for personalized offers, improving lead conversion rates and boosting cross-sell and up-sell success?

·  Deliver an exceptional, differentiated customer experience?

·  Leverage rich sources of 3rd party data as well as big data such as social, mobile, sensors, etc.., to enrich customer insights?

“One company I recently spoke with was having a hard time creating a single consolidated invoice for each customer that included all the services purchased across business units,” says Dwight. “When they investigated, they were shocked to find that 80% of their consolidated invoices contained errors! The root cause was innaccurate, inconsistent and inconsistent customer data. This was a serious business problem costing the company a lot of money.”

Let’s do a quick test right now. Are any of these companies your customers: GE, Coke, Exxon, AT&T or HP? Do you know the legal company names for any of these organizations? Most people don’t. I’m willing to bet there are at least a handful of variations of these company names such as Coke, Coca-Cola, The Coca Cola Company, etc in your CRM application. Chances are there are dozens of variations in the numerous applications where business-critical customer data lives and these customer profiles are tied to transactions. That’s hard to clean up. You can’t just merge records because you need to maintain the transaction history and audit history. So you can’t clean up the customer data in this system and merge the duplicates.

The same holds true for B2C customers. In fact, I’m a nightmare for a large marketing organization. I get multiple offers and statements addressed to different versions of my name: Jakki Geiger, Jacqueline Geiger, Jackie Geiger and J. Geiger. But my personal favorite is when I get an offer from a company I do business with addressed to “Resident”. Why don’t they know I live here? They certainly know where to find me when they bill me!

Step 3: Transform how you view, manage and share customer data

Why do so many businesses that try to master customer data in CRM fail? Let’s be frank. CRM systems such as Salesforce.com and Siebel CRM were purpose built to support a specific set of business processes, and for the most part they do a great job. But they were never built with a focus on mastering customer data for the business beyond the scope of their own processes.

But perhaps you disagree with everything discussed so far. Or you’re a risk-taker and want to take on the challenge of bringing all master customer data that exists across the business into your CRM app. Be warned, you’ll likely encounter four major problems:

1) Your master customer data in each system has a different data model with different standards and requirements for capture and maintenance. Good luck reconciling them!

2) To be successful, your customer data must be clean and consistent across all your systems, which is rarely the case.

3) Even if you use DUNS numbers, some systems use the global DUNS number; others use a regional DUNS number. Some manage customer data at the legal entity level, others at the site level. How do you connect those?

4) If there are duplicate customer profiles in CRM tied to transactions, you can’t just merge the profiles because you need to maintain the transactional integrity and audit history. In this case, you’re dead on arrival.

There is a better way! Customer-centric, data-driven companies recognize these obstacles and they don’t rely on CRM as the single source of trusted customer data. Instead, they are transforming how they view, manage and share master customer data across the critical applications their businesses rely upon. They embrace master data management (MDM) best practices and technologies to reconcile, merge, share and govern business-critical customer data. 

More and more B2B and B2C companies are investing in MDM capabilities to manage customer households and multiple views of customer account hierarchies (e.g. a legal view can be shared with finance, a sales territory view can be shared with sales, or an industry view can be shared with a business unit).

 

Gartner Report, MDM is Critical to CRM Optimization, Bill O'Kane & Kimberly Collins, February 7 2014.

Gartner Report, MDM is Critical to CRM Optimization, Bill O’Kane & Kimberly Collins, February 7 2014.

According to Gartner analysts Bill O’Kane and Kimberly Collins, “Through 2017, CRM leaders who avoid MDM will derive erroneous results that annoy customers, resulting in a 25% reduction in potential revenue gains,” according to this Gartner report, MDM is Critical to CRM Optimization, February 2014.

Are you ready to reassess your assumptions about mastering customer data in CRM?

Get the Gartner report now: MDM is Critical to CRM Optimization.

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Posted in CMO, Customer Acquisition & Retention, Customers, Data Governance, Master Data Management, Mergers and Acquisitions | Tagged , , , , , , , , , , , , , , , , | Leave a comment

Retail Case Study: Printemps Department Store Builds a Trusted Customer Data Foundation with MDM and Data Quality

If you have never traveled to France, you have missed the unique and exciting shopping experience offered at Printemps, a luxury fashion retailer. Its flagship store in Paris drives 60% of the company’s revenue. More than 1.5 million customers who love fashion visit this store as well as the retailer’s 15 other high-end stores around the country.

Printemps Haussmann, flagship department store in Paris, France.

Printemps’ goal is to cultivate long-term personal relationships with their high value customers by delivering exceptional services. Their strategy to accomplish this goal is to continuously meet their high value customers’ needs and expectations and create compelling incentives for customers to visit their stores.

Printemps’ marketing team is continually striving to be more customer-centric and improve campaign effectiveness. They are using customer analytics to segment their customers and better understand their preferences. For example:

  • Which customers prefer fashion, beauty or accessories?
  • Which customers prefer communications through the mail, email, mobile phone, social media channels?

Printemps has plenty of information about their 1.5 million customers. So what
was standing in their way? They lacked a 360-degree view of their high value
customers. The key culprit was duplicate customer information across multiple
systems.

I had the honor of introducing Olivier de Compiègne, who is responsible for Project Services and Customer Relationships at Printemps at Informatica World. Olivier’s main message: if your goal is to attract high value customers and boost customer loyalty, first you must invest in a solid customer data foundation.

To build their solid customer data foundation, Printemps’ team is leveraging Informatica Data Quality to ensure their customer information is as accurate and complete as possible across all key sources. They are using Informatica MDM, master data management (MDM) technology to rationalize customer information from numerous data sources to create a single customer view as well as a 360-degree customer view, which includes each customer’s purchase history.

Printemps’ solid customer data foundation is maintained on an ongoing basis, which allows Printemps’ marketing team to have confidence in the data they use for customer analytics and campaign management. Now they can truly support personalized relationships with customers and optimize their marketing by sending tailored messages to targeted customer segments.

If you are trying to cultivate long-term personal relationships with your customers and lack a 360 degree customer view, I hope Olivier’s story was helpful.  Do you have similiar goals? Please share your thoughts. I’m interested in hearing from you.

If you want to learn more about how Printemps’ is using Informatica Data Quality and Informatica MDM, please:

 

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Posted in Customer Acquisition & Retention, Data Quality, Master Data Management, Retail | Tagged , , , , , , , , , , , , , , , | Leave a comment

The CIO’s Role In Driving Customer Profitability

 

 

 

When asked by the Conference Board in 2011 to rank the challenges that keep them up at night, U.S.-based CEOs put business growth in the number one position. Growing the business means growing the customer base by delivering a superior customer experience—and that demands leadership for the elimination of customer data silos and delivering complete, reliable customer data to the business.

The CIO is in a unique strategic position to help out—and emerge as (an unexpected) customer champion. Cases of CIOs taking on the role of customer champion, in my opinion, are not prevalent enough and represent a missed opportunity to advance the organization’s quest for customer profits. Companies need to focus on such immediately actionable key metrics as understanding the value of gained and lost customers, quantities of referrals, and the movement of customers from one level of profitability to another. I call these the “Guerrilla Metrics” because they power the customer onto the corporate agenda—and will help the CEO determine the value of the corporation based on its ability to manage customers as assets. This requires enabling the integration of customer data and driving that as a priority. (more…)

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Join our @INFASupport TweetFest

It’s not the survival of the fittest anymore, it’s not the survival of the strongest either, it IS however the most adaptable who survive.

At Informatica we are always innovating ways to serve our community better. In keeping pace with the adoption of social networking, the Global Customer Support team expanded some of our communication channels to include new options of contacting us through social media. There are a number of great social media tools, but perhaps the simplest one for business use is Twitter.

We launched our @INFASupport Twitter channel in mid-February and have used this as one way to support, reach out to and dialogue with our wider community since then. We have received a number of accolades from our followers/customers for all the useful information we have been sharing and also for giving them an easier and quick channel for communicating with us. (more…)

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