Gap Analysis – Marketing Automation

May 8, 2014

A colleague asked me to compare and contrast what marketing automation deployments we’ve seen prospect and customer wise – what their use case is relative to the gap with best practices.

To execute on a need he had committed to a client, I came up with the following list for him to consider.

Symptoms of enterprises struggling with marketing automation – marketing automation has (been):

  • Referenced internally as a ‘Ferrari in the garage collecting dust’
  • Perceived as a ‘black box’ to non-marketing executives who don’t understand its impact
  • Delivered a ‘Batch and Blast’ or large quantity of email experience, alienating subscribers
  • Enabled a first generation lead scoring model that has little, if any, business impact
  • Amplified non-standardized CRM data, thus frustrated sales and marketing users
  • Underutilized relative to installed customer base

What marketing automation should be or do potential wise:

  • Improves conversions by keeping in touch with not now, maybe later buyers
  • Delivers relevant and targeted personalized content to end users to engage at the right time vs. all of the time
  • Accelerates reporting ability when working properly with CRM, thus is transparent value vs. black box value
  • Minimizes non-standard data to maximize deliverability impact
  • Enables inside sales and sales prioritize workload via effective lead scoring model
  • Provides cross sell /up sell capabilities to an installed base

I think a better question to ask in framing this entire situation is around the use case – what is the business problem you are trying to solve with marketing automation?  From that point with the end in mind, marketing automation can then be deployed and configured to address your business needs vs. deploying against its technical capabilities.

What do you think?


Leads, Big Data and Trust

May 31, 2013

(Published in the April Argyle CMO online publication targeting 4000 CMOs globally.)

70 percent or more of marketing business to business leads aren’t being followed up by sales. And the reason is trust. Establishing trust — the moment that you believe the salesperson understands your problem and the solution they are pitching makes sense — is normally associated with customer relationships. Instead, what I’m talking about are the leads marketing “sells” to sales.

According to a commissioned study by Dunn & Bradstreet, three quarters of sales reps and sales operations managers say that they need deep, accurate information to be more successful in their job. However, most salespeople assess marketing qualified leads with cynicism. The lead data, everything needed to understand the company and decision maker, is perceived to be incomplete, out-of-date or inaccurate — often rightly so.

When the quality of the lead data is questioned, marketing efforts are undermined and CRM and sales force automation systems go underutilized. One part of the problem is that there often are several data sources, such as legacy CRM systems, procured third-party profiles, and digital behavior gleaned by tracking responses to digital marketing programs. Each of these sources provides differing customer information, but no single source delivers a complete, insightful profile.

Enter Big Data and the thickening bond between CIOs and CMOs. CIOs are tasked with integrating Big Data, in its different structured and unstructured forms, and churning out actionable information. CMOs can then apply data analytics to paint a true 360-degree picture of a prospect to feed into enterprise CRM systems, with knowledge bases continuously updated using technologies developed to manage Big Data.

It can be done, and in fact recently has been done by Level 3 Communications. SVP of Marketing Maggie Chan Jones and her team drove an initiative in which more than 90 million records from multiple sources were combined. And by partnering with Mark Martinet (CIO of Level 3) on the project roadmap, the solution ensures that same dataset will flow across multiple systems and platforms. Consequently, everyone sees the market and customers through the same lens. Sales has the key segment attributes and in-depth customer insight they need to reach out with the right information at the right time, and marketing can execute more carefully, with on-target messaging that creates better return on their investments into automated tools and content.

What can’t be lost sight of is how customers and prospects benefit. In light of the changing nature of sales cycles, it’s more important than ever for sales to know what makes sense to offer and when, so that everyone’s time is put to best use.

Success instills trust — between sales and marketing, and between your company and your customers. Big Data can help make it happen, you just need to turn the data into information.

 

BIO:

Jon Russo is a three time B2B Chief Marketing Officer in global companies ranging from former divisions of General Electric to successful Silicon Valley start-ups.  He currently runs B2B Fusion Group, a vendor neutral business helping business-to-business sales and marketing leaders accelerate revenue growth by connecting marketing investment to new revenue opportunities. His clients include Level 3, SAP and IEEE, among others. He can be found on Twitter @b2bcmo. 


2013: Great Expectations For Marketing ROI

January 3, 2013

 

Here is my brief view of what to expect in 2013.

 

 

During 2013, organizations will demand significantly more revenue value out of their existing sales and marketing ecosystem investments including CRM, Marketing Automation, and list acquisition purchases.  Non-marketing executives at these firms will demand greater accountability for return on these investments.

 

 

 

As a result, marketers will need the ability to execute campaigns with surgical precision and to tie their marketing investments explicitly to ROI. This includes:

 

 

 

Generating more qualified leads. Successful marketers can and should claim the lion’s share of leads that close to revenue within their organizations. Focus here on the details: standardizing data fields within CRM and marketing automation systems, for example, is critical to proper segmentation and targeting. Data-driven segmentation is especially critical to executing targeted campaigns and increasing ROI.

 

 

 

Optimizing business processes. Many companies use less than 10% of their marketing automation capabilities because they haven’t deployed these tools effectively. That’s why it’s so important to map every aspect of your customer acquisition and onboarding process – from inquiry to close and beyond – to and through your CRM and marketing automation tools.

 

 

 

Connecting marketing activity to new revenue. An entire industry has evolved around the ability to measure marketing-sourced and marketing-influenced revenue – and to extend these analytics far beyond what’s available from an out-of-the-box CRM or marketing automation system. It’s hard to overstate the importance of these tools; their power lies in their ability to give executives “one view of the truth” for reporting sales and marketing ROI.

 

 

 

Organizations that put together these pieces and execute a revenue-driven marketing strategy will have a far more successful 2013 than those that don’t.

 

 

 

What do you think will happen?

 


Bigger deals that close faster!

July 31, 2012

 

Bigger deals that close faster!

We’re still not yet hitting the full promise of what marketing 2.0 could be delivering on.  In an informal poll of 3 CMOs of B2B companies with revenues from $50M to $5B, I asked about their progress with new revenue acquisition effectiveness around gaining bigger deal sizes with decreased sales cycle time by leveraging effective marketing automation deployments and other inbound techniques of marketing.  The findings mirror what MOCCA (Marketing Operations Community) reported in January 2012 in a webinar survey of over 200 companies – on balance, companies that invested in marketing automation platforms experienced better (and more) leads at a lower cost per lead, not yet bigger deals that closed or a faster close time.

How do you get better conversion and more effective utilization out of your technology investments, specifically around your marketing automation platform?  Here are 3 suggestions:

  • Data – I use the ‘sight on the rifle’ analogy with data.  If your rifle sight is off by the slightest, you’ll miss your target by a mile when you go to shoot at it.  The single biggest area which is most often misunderstood by executives is the integrity of your company data.  Without complete data (contact names, phone numbers, email addresses), sales teams invest an inordinate amount of research time to get the right information.  (see previous post on the cost of this).  There have been tools that have improved ascertaining some of this information (LinkedIn plugin to salesforce.com, Data.com, InsideView, RainKing, etc.) to start down this path.  However, even the tools in and of themselves do not solve for data integrity issues of appending, cleansing, and preventing duplications at the contact or account level.  With the right up front planning, sales effectiveness can be increased.

 

  • Buyer cycle knowledge – a surprising number of organizations way underestimate the need to build out content around their buying cycle.  First, organizations miss on understanding the ‘moments of truth’ of how their buyers actually buy and when buyers leverage digital technology to buy.  How they can get a better understanding here is through surveys, customer forums, and unpacking previously won deals to piece together successful elements.  The second area they miss out on is targeting the right content at the right time in the cycle.  As an example, Rackspace does an exceptional job of targeting end of funnel conversion by leveraging LinkedIn recommendations by clients such that other potential clients can see what their friends purchased.

 

  • Metrics/Reporting – probably the trickiest area of all and at the nexus of data, process, and content.  Without the other pieces in place, marketing ROI is a myth.  The vendors in the space are happy to sell you their capabilities which are either set up leveraging very specific use cases or require a fair amount of care and feeding to get operating correctly.  It will take people energy and an excel template to get the right data reported out on but without doing this, you won’t know what areas to improve in.  Veracity always comes into question when data is formatted outside of CRM systems, so be prepared to identify all assumptions in data gathering and use those assumptions consistently.

How have you improved your processes in getting bigger deals with shorter sales cycles?


MOCCA DC – Marketing Operations

July 18, 2012

Marketing Operations as a B2B discipline is rapidly growing.  As one data point that supports its growth, we had our largest attendance to date for today’s MOCCA meeting in Washington DC with Andrew Gaffney and Amanda Batista of Demand Gen covering recent readership survey results on trends in marketing measurement, changes in b2b buyers, and shifts in content preferences.  Rather than rehash the survey results which are available on DemandGen’s website, here are 4 key takeaways from our hour long question and answer session that followed the presentation:

  • Content:  this area was the theme and background of DemandGen, so it was not a surprise to hear this topic come up.  We spent considerable time discussing the pros and cons of webinars, both live and recorded, and came to the conclusion they are a worthy, cost effective tactic to consider as part of the overall marketing mix.  With today’s integration in marketing automation platforms, there are more benefits reporting wise to use webinars versus in years past.  Video is also a tactic that can be repurposed toward mobile devices and non-mobile devices.  There were a few audience members who suggested that having  4 videos of 5 minutes each were more powerful than one 20 minute video and easier for a buyer to digest.

 

  •        Data Warehouse:  this is an emerging area for enterprise companies that are trying to do data manipulation and more sophisticated reporting.  B2B companies are realizing a shortcoming of their CRM systems and marketing automation systems in terms of lack of data reporting flexibility.  Thus, they are looking to front end load their systems with a data warehouse that interoperates with disparate data sets and can do sophisticated reporting through easier manipulation of data.

 

  • Mobile:  this area remains an enigma for b2b marketers (my data points extend beyond this session with the CMOs of both Cisco and Xerox confirming this same data).  Contrary to what is happening in the market, marketers are just not yet ready to think about rendering b2b campaigns in mobile, either through their marketing automation platform or through companies like Litmus Technologies.  One company mentioned it was beginning to source 15% of its lead flow (not web traffic) from mobile devices yet the majority were not optimizing campaigns or content specifically toward mobile devices.  There are likely too many other competing priorities for marketers to be focused on, thus crowding out mobile for the moment.  Everyone knows they should be doing it (like working out at a gym), but few actually do it.

 

  •        Reporting:  the majority of companies were at the early stages of connecting marketing investment to new revenue struggling with both systems as well as cultural – cultural meaning does marketing ‘source’ revenue or do they ‘influence’ revenue.  The theory models would suggest marketing does both, but not every culture absorbs that methodology.

We didn’t have time to cover it, but data and its accuracy seems to be the next hot topic for MOCCA to talk about.  What areas in marketing operations are you seeing that is hot?


Next Gen Marketing Automation Platforms: Revenue Impacting

June 7, 2012

It’s time for the next generation of marketing automation – a revenue generating marketing automation system that focuses across new areas of predictability, effectiveness, and a wholistic view of a prospect/customer situation with the right analytics.  As a former high tech CMO that understands SaaS companies and platforms, I’ve implemented multiple instances of marketing automation platforms and more recently started a business digging deep at the marketing automation/CRM ecosystem to get more revenue, quicker.

Here are 4 areas that I think the next generation of marketing automation will solve for:

Predictive:  while the lead scoring models of yester-year are a good start to sorting out the needles from the hay, people are starting to realize that companies cannot ‘set and forget’ to hope the scoring methodology works long term.  Buying behaviors change and a buying committee in B2B is complex.  A predictive element with newer analytic capabilities is emerging in the B2B world, leveraging similar technologies that B2C marketers use (i.e. Amazon and best picks).  A company can then determine what products or solutions are most likely to be purchased based on similar demographic or segmentation sets.

Raise Sales/Marketing Effectiveness:  as I’ve previously posted on my blog, the data element is the single most important area for companies to understand and harvest, yet at the executive level it is often the leastunderstood.  Bad data is like a rifle with its sight off;  if your sight is off by a ¼ inch, you’ll miss your end target by a mile.  If the data is bad, you’ll never reach your target or lose valuable time trying to reach the target.  Newer marketing automation systems that leverage the right SaaS integration will be more sophisticated to go beyond the deduplication at the account, contact, and lead level (like they do today or with other 3rd party tools like CRM Fusion, Dupe Blocker, etc.) by providing real time feedback on phone numbers and contact information to increase the effectiveness of the inside sales organization.  Outsourced data cleansing strategies will become less prevalent as time goes on.

Assist with 360 view of a prospect:  with SaaS environments leveraging CRM (Salesforce.com) and new integration technologies (Dell Boomi, etc), there is a newer way to get intimate understanding of your customer prior to sales reaching out real time.  Billing information, trouble tickets, and other service questions can theoretically be displayed to a sales person so they are not ‘surprised’ calling into a new or existing account trying to up-sell.  With a 360 view, coupled with the predictive element, there will be new ways to get more revenue for companies that are savvy. Customer marketing (up-sell, cross-sell) is the hardest type of marketing to do and measure, this 360 view will help complete that circle. The single most important aspect is to make it easy for sales rep to get access to it from their current system.

Analytics that are meaningful:  the first generation SaaS marketing automation vendors have made an attempt at analytics, either licensing 3rd party software (Micromuse, Good) or attempting to build on their own.  The next generation analytic dashboards will be visible by anyone that has CRM access, not just marketing users with marketing data.  These analytics will show the areas above – marketing influenced revenue, 360 viewpoint, and data quality.  While some of this can be reported in systems today, it’s challenging at best.

What do you think, what are you seeing for future marketing automation environments to get more revenue, quicker?  Where are the pain points and shortcomings in your environment?



New SiriusDecisions Demand Waterfall – My Views

May 24, 2012

Yesterday in the 106 degree Arizona weather, we received a needed waterfall – SiriusDecisions unveiled their upgraded view of the latest demand waterfall model at their annual conference.  With an array of color codes and arrows, the new direction is spot as it accounts for revenue sourcing across all elements of the business rather than taking a more myopic view of just what marketing does for the business for net new revenue.  It is no longer the ‘marketing waterfall’ but the ‘business waterfall’ in the 2.0 approach.

Here are my views of the new structure and why it is positive:

  • At an executive level, one should be measuring the velocity and cost of the source of leads converting to new revenue, regardless of the source (inbound, outbound, teleprospecting, sales).  According to Adobe’s 2012 CMO report, fewer than 20% measure their ROI on marketing, this framework will help contribute to defining the ROI element.
  •  At a more tactical inquiry level, a senior marketer needs to make a more intentional decision around resource allocation across inbound and outbound marketing mix and tactics.  When the demand creation model was created 10 years ago, social media (LinkedIn as an example) was less prevalent than that of today).
  • The model highlights the importance of the teleprospecting function in accepting, qualifying leads, and generating leads – this function’s importance is often underestimated or routinely outsourced without thinking through strategic revenue implications.  (See previous post here).  It’s the toughest job in the business in my opinion.  By explicitly calling out outbound teleprospecting accountability, a key skillset for account executives, sales leaders should welcome this new framework as it also spells out a clearer career path for teleprospectors.
  • Within the marketing qualification step, by putting more accountability within teleprospecting to ‘accept’ the leads rather than work all leads by marketing, the chances of marketing dumping several unqualified leads onto sales is further reduced.

There are nuances depending on the type of business that the model may need to be tweaked for – specifically around channel partners or other 3rd party mechanisms that generate revenue though the idea and flow should largely be the same.   Also, what’s not discussed is how to implement this kind of waterfall depending on the current stage of current processes – it will take an organization a committed period of time, so phasing and testing should be key to implementation. Lastly, I’ve surprisingly found a number of organizations, particularly larger ones, dancing around the conversation of ‘sourced’ vs. ‘influenced’ revenue, with some larger companies driving in one direction or the other rather than looking at both.   As SAP CMO @jbecher tweeted from the audience yesterday, ‘culture eats strategy’.  Specifically, one needs to be aware of the rigor and thoroughness this model represents and the willingness of the company to absorb the model.

It is critical for companies to do this kind of measuring to improve performance.  It is the right thing to do.

What are your views of the model?


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