Customer World

Customer conversations in a world without identities

I recently read a very thought provoking article by Alec - " Hankering for a world without identity or federation". Also, a lovely follow-up article on the same topic by Andriana. Also, there's a nice comment by Christopher Carfi on the same topic.

These articles raised serious questions in my mind about how marketers, in the future, will have to build conversations with customers without identity. The key issue raised in my head was - increasingly as more and more get customers get online or mobile( in developing markets like India, China and the like) they would like to control their identity & conversations with brands. I presume things like DNPC( Do Not Place Cookies), DNL( Do not link ads(without permission)), DNT(Do Not tag along - SMSs )etc. will increasingly gain importance.

At the same time , these mediums are also being used for transactions and  purchases more and more. Many of these articles talk about protecting identity but when you combine identity with transactional information, interests in various social networks,memberships in certain sites etc.- it provides a new dimension in building conversations  with customers.Marketers will need to use data from multiple sources -in real time- to understand customers, get into their inner circle by really being valuable to their lives not just providing or sending a marketing messages. Also, identities need to be confirmed from multiple sources of paths from where customers come. There is a nice diagram from Adriana that I have picked-up which brings this point alive:
.

The key challenges and the winners of tomorrow will be the ones who are able to build conversations without identities. 

Personal recommendations are more authentic

As many channels start to converge, the chatter among customers about products, benefits, uses, problems, referrals is increasingly gaining a lot of attention. It's so easy  today to get on to the web and know what customers think about your products. The ability to fuse this data along with your transactional & attitudinal data that lies within your organization and doing analytics on this information is going to be the next inflection point for marketers.

Here's a presentation by Paul Isackson that brings out the power of this chatter and influence on customer behaviour.

| View | Upload your own

Inside Steve's Brain- customer-centric design thinking

Here's an overview of the new book that's just got released - Inside Steve's brain ( Nishad sent this to me a few hours ago). Personally, it tells me a lot about the way the man is thinking, pushing( the people around him), acting-on( his instincts) and executing( without being worried about what the world thinks about him). Customer-centric enterprises need to have customer-centric design thinking - the way their products need to be conceived, designed and delivered. Steve just does it with impeccable perfection and style.    Here's the preview before you rush-out to buy:

| View | Upload your own

Lead management - Involve before you start!

A recent study from the Sales Lead Management Association (SLMA)  shows that many companies are ignoring their sales lead management.

Their 2nd annual Sales Lead Management Study, conducted with 144 businesses in Southern California, revealed the following results:

• 68.8% don’t qualify leads before sending them to their sales teams
• 52.4% have no formal process for compiling sales forecast reports
• 82.8% don’t track ROI for lead generation investments
• 55% rated low satisfaction with their SFA/CRM system, at 5 or less on a 10-point scale
• 52.1% use no SFA/CRM system to track the lead process

My View:  The gap between sales & marketing departments has only grown over the years.Sales has had a siloed process in enterprises and in my experience getting sales to see & appreciate good quality leads is always big problem. On the other hand, I have always found, lack of understanding what a good lead is the problem of most lead generation programs. Often there is a mix of science, logic and an intuitive feeling in the salesperson's mind which a software or a process cannot replicate. But, my belief is that right at the inception of a lead generation program, you need to have the buy-in of the sales team. The lead generation team must be 'considered' a part of the sales team and may be that's the reason there's a term coined as 'inside sales'! Nevertheless, the lead generation team, the software and the process must be seamlessly integrated to succeed. It has to start before the program is implemented and announced. That's the key to its success.

CMO council releases study on 'Leveraging Customer Data and Analytics'

Only 50 percent of global marketers report having a strategy for further penetrating or monetizing key account relationships, reports the Chief Marketing Officer (CMO) Council in a new research study, Business Gain From How You Retain . In addition, a surprising 45 percent rate the effectiveness of customer relationship management (CRM) systems as deficient or needing more work, with only 15 percent of companies rating themselves extremely good or effective at integrating disparate customer data sources and repositories.

 

Conducted in late 2007 and early 2008, the CMO Council's Business Gain from How You Retain study undertook a wide-ranging evaluation of where and how marketers are "operationalizing" customer intelligence and insight to reduce customer churn, increase lifetime value, improve the customer experience, and increase the effectiveness and targeting of marketing spend.

More importantly, marketers are struggling to gain a true and timely view of the customer due to inadequate or incompatible IT systems and databases, siloed data in functional areas, and a limited strategic focus or management mandate on Customer Data Integration (CDI). Compounding the issue is a lack of formalized data-sharing policies and practices in the organization, combined with internal political or cultural barriers and IT obstacles and objections to data integration.

 

"We are seeing a fundamental need for marketers to be more effective at tapping the valuable vein of customer data that runs deep inside all organizations," notes Donovan Neale-May, Executive Director of the CMO Council. "Investing in integrated systems that harvest customer insight is critical to driving both marketing and business performance," he adds.

•       Only 15 percent of marketers say their companies are doing an extremely good or effective job of integrating disparate customer data sources and repositories; 55 percent note there is room for improvement or a deficiency in this area.
•      More than 31 percent of companies surveyed had customer churn rates of more than 10 percent and 32 percent reported turnover of five to 10 percent. In comparison, more than 62 percent said they desired or expected a churn level of less than five percent.
•      Respondents believe customer churn significantly impacts business performance through revenue loss (59.9 percent), reduced profitability (39.6 percent) and greater marketing and re-acquisition costs (36.3 percent). 
  
•      While churn is a big issue, nearly 67 percent of those surveyed say they have no system for re-activating dormant or lost customers, while just over half of respondents have a strategy for further penetrating or monetizing key account relationships.

•       While more than 35 percent of respondents report that the CMO or marketing department (38.9 percent) has primary responsibility for the customer analytics function, they are not leveraging its value. Over 31 percent of those surveyed do no data mining at all and 63 percent are only doing moderate levels of data mining for intelligence and insight.

•             The top six strategic applications of customer information by marketers include:

                        - Up-selling and cross-selling
                        - Segmenting and targeting
                        - Driving retention, loyalty and promotional programs
                        - Identifying new opportunities and unmet needs
                        - Improving customer service
                        - Shaping personalized and customized communications

•      Key initiatives to increase customer retention include improving customer communications (65.2 percent); addressing complaints, problems and pain points (51.8 percent); and enhancing the customer experience (54.8 percent). Unfortunately, fewer marketers noted their companies' willingness to modify business practices and policies to accommodate customer needs.

The laws of physics behind marketing methods

I read an interesting post about how the rules of mass marketing, direct marketing & social media are so different in approach, content, analysis and results. Therefore, for marketers, the challenge of applying & measuring each of them is conflicting, different & downright confusing. The truth though is that data(at an individual customer level) is becoming the DNA for marketing and incremental byte-sized data from each of them come at different points of time - controlled to near-real to real.The key, therefore, is knowing how to use it, apply it basis the method of marketing marketers are executing or seeking solutions for, not making the mistake of transposing one type of marketing hypothesis to the other etc. are key factors of being a successful marketer tomorrow.

Take a look:

Mass advertising is like Classical Physics; large-scale, mostly intuitive and somewhat predictable.

Direct Marketing is like Atomic Physics; small/medium-scale, mostly logical, but the segmentation aspects start to show some bumps and troughs on what appeared to be smooth and simple.

Social Media is more like Quantum Physics; small-scale, counter-intuitive and usually unpredictable.

• Traditional marketers deal with everyones opinions in big bins like sales figures, national focus groups, opinion polls, etc. These roll-ups average out the inconsistencies of individuals and blur together to form tendencies, trends and preferences. The actions taken in mass marketing can expect a relatively consistent result (i.e. send out a coupon and you can expect a certain level of redemption and sales revenue to come from it and the larger the audience, the more likely it is to average out at a predictable result). This is the world that marketers are familiar with and all-in-all it makes sense if you know the system.

• Social Media on the other hand acts on the niche and individual level where things are a lot less certain. The complex nature of blog posts is hard to parse out into definitive numbers and trends.The lack of large numbers makes the reaction and result of social media efforts difficult to determine and measure. It is much more difficult to roll up all of these disparate opinions into a meaningful decision than to look at an opinion pie-chart.So in essence, social media tools have given marketers a microscope powerful enough to see what is going on at smaller scales.

...many marketers in the classical camp are not very happy with what they see, because it doesn’t confirm what they thought they knew. Decisions which appear obvious when looking at large sample sizes becomes more nuanced and contradictory when you see everyone as an individual.

How do measure Customer Engagement?

MarketingNPV provides an in-depth point of view on measuring engagement. This is a complex and evolving subject in marketing. The key however is to start small, keep defining & redefining it, see the results and keep improving it all the time. I think customer engagement must include all touchpoints beyond just net, blogs. It should include store visits, branch visits, call centre, product usage, cross-product holding, depth of features & benefits used by the customer etc.

Take a look at how they see it:

Two Types of Engagement

There are two generally accepted engagement “types”: emotional engagement and behavioral engagement. The former is more popular; the latter is more important.

Behavioral Engagement

It’s important to note that behavioral engagement is not limited to a purchase of a product or service; it encompasses all the interactions that a prospect or customer has in relation to a brand. There are any number of pre- or post-sale activities that can be (directly or indirectly) predictive of a future purchase or re-purchase; they include visiting a Web site, downloading a whitepaper, calling customer service, recommending a product, or even commenting on a blog.

There’s plenty of data available to track how customers or prospects are engaging with a company; the key is to synthesize it into a clear model for demonstrating either short- or long-term economic benefit.

To probe more deeply into these drivers, your next step will be to identify places on the map where you have good data and where you don’t. Look beyond the traditional customer survey information, brand-tracking studies, and the CRM system. What Web analytics are you capturing? Do you have access to point-of-sale data or call-center transcripts?

The key to measuring engagement is:

a. Develop a vision
b. Create a methodical testing process
c. Look for predictive validity of upstream behaviours
d. Leverage your engagement drivers