Executives care about operational metrics – a dead idea

Public policy wonk and Fortune Magazine columnist Matt Miller’s new book The Tyranny of Dead Ideas: Letting Go of the Old Ways of Thinking to Unleash a New Prosperity got us at SageCircle thinking “Hmm, are there dead ideas holding back analyst relations?” Of course there are! This is one in an occasional series of posts that will address the dead ideas that impact AR programs and their ability to delivery strategic value to their companies. These posts are meant to be provocative and not necessarily definitive in their new ideas and suggestions.

AR Metrics & MeasurementDead Idea: When reporting to executive sponsors, analyst relations (AR) must focus on operational metrics like activity counts (e.g., the number briefings conducted), budget status, and so on because that is what executives want.

Back Story: When a SageCircle strategist conducts an Analyst Relations Diagnostic™ with an AR team he invariably finds the AR program uses operations metrics for reports to executives. Why? It is not just because AR finds operational metrics easier to gather, though there is part of that, it is primarily because that is how AR has always reported to the sponsor because “that is what the executive wants.” Maybe this is true, but probably not.

Problem: The root of the problem is that many AR programs have simplistic goals, often modeled on PR, to “get the word out” and to “get the analysts to say good things about us right now.” This approach is often the right one for PR because PR is rightfully focused on building awareness.  However for AR, this approach leads to a focus on short-term activities that accomplish short-term goals. It is easy to see how this leads to AR reporting on those short-term activities.

AR should be focused on longer-term strategic goals (e.g., influencing revenues during the sales selection process or “moving the dot” over several years).  While some AR programs understand the need for a strategic direction they end up planning highly tactical items such as […]

Responding to Analysts’ Published Comments – Speed is Essential

As pointed out in past posts (see The Volume of Analyst Publishing and Quotes), analyst opinions show up in published format thousands of times each month. Unfortunately, too many AR teams are behind their colleagues in knowing when the analysts are being quoted or published. This lag can result in a CEO being embarrassed by a reporter or by a financial analyst who asks the CEO’s position on an IT industry analyst’s opinion. Another example is a sales deal gone awry because the company’s sales representative did not know that a relevant industry analyst had published a negative research note, or that his company was not on the Leaders Square of a Magic Quadrant.

The way to avoid these types of situations is for AR to know first when any Tier 1 analyst ends up in print. That way AR can prepare colleagues instead of responding to their pain. Too often, AR either ignores this requirement or does something ineffectual. Some AR departments subscribe to alerts that the analyst firms’ research engines have, but never look at the daily e-mails that are generated. Other AR departments buy a clipping service to get analyst press quotes.  However, because these services typically have a delay of one to two months between the original publication and their report delivery, clipping services simply are not timely enough for effective response.

SageCircle recommends that AR put into place a program for daily monitoring of analysts’ opinions. What need to be monitored are specific analyst opinions, not just […]

Planning and Measurement: more than activities, these are essential components of effective AR

SageCircle - connection between planning and measurementTop-performing analyst relations (AR) programs follow a simple model: 

  1. Define the results they want to achieve
  2. Define and execute a set of activities designed to achieve the stated results
  3. Measure progress

This approach not only helps to keep the program focused, it is critical for gaining and maintaining executive sponsorship and support.  Executives do not have time to learn the details and nuances of AR operations. They could care less how many briefings AR performs, how many e-mails were sent, or how many analyst requests the AR team supports. Executives want to know

  1. What are the business-relevant results the AR program will deliver
  2. Does the AR program have a plan (or is it flying by the seat of its pants)
  3. Is the plan reasonable
  4. How will the program prove its impact

Many AR programs lament their lack of strong executive support, yet have not committed the time necessary to develop the key ingredient for executive sponsorship, a pragmatic […]

The process for developing an AR Strategic & Tactical Plan

SageCircle's AR strategic & tactical plan processCreating a comprehensive AR plan is a significant undertaking, with myriad steps and details. To accomplish this work in an efficient and effective manner — and to ensure nothing falls through the cracks — AR teams should follow a process similar to the one depicted in the graphic (click to enlarge). 

Going through a formal process is worth the effort. We have seen clients’ AR programs receive more headcount and budget when other departments in their companies face cutbacks in tough economic environments. Why? Because these AR programs had realistic AR plans that focused on delivering business value (including sales support which is prized in recessions) that could be measured.

SageCircle Technique:

This AR planning process has six discrete steps (numbered items relate to numbered circles on the diagram):

  1. Assess your AR program. This step helps identify opportunities to build on existing programs and to improve weak or non-existent areas
  2. Align AR goals with overall corporate objectives to prove AR’s value and to make timely adjustments based on business needs
  3. Build outreach programs and activities to accomplish […]

Gathering data for measuring analyst impact on sales

AR Metrics & MeasurementSageCircle research shows that overall analysts have a significant impact on IT buyers.  However,  each vendor in the community often has only a general perception of how much the analysts have an impact on their sales. Often, the perception is formed more by anecdotal information than systematic research, with stories filtering up from individual sales representatives about analysts negatively influencing deals. Vendors that do systematic research on analyst influence discover the broad and deep influence, both positive and negative, that the analysts have on deals. Analyst relations (AR) teams with a goal to become more strategic should institute a formal program for gathering sales impact data. 

Unfortunately, it is not a simple task to gather sales impact data. If it was easy, then everybody would already be doing so. There are many factors that contribute to the difficulty in gathering sales data including:

  • Multiple types of data
  • Multiple potential sources of data
  • Multiple points within a sales cycle when an analyst could impact a deal
  • Lack of institutional relationship with the company’s leads management and sales teams
  • Lack of skills
  • Lack of formal measurement plan
  • Lack of bandwidth to do the work

While there are these barriers, none of them are so difficult to overcome that AR should not even try to […]

How third parties can help with data collection

AR Metrics & MeasurementAs was mentioned in Out-tasking AR Activities, measurement work is a prime candidate for out-tasking. There are various firms that can assist AR programs with measurement program design, gathering, and analyzing data. Some examples include: 

Measurement program designSageCircle has proven intellectual property and templates to help AR teams set up practical and effective measurement programs.

ARchitectTM ARinsights‘ collaborative application and integrated database makes data collection, querying, and reporting easy. AR practitioners can accomplish in seconds what used to take hours of manual effort. SageCircle strategists are experts in how to leverage ARchitect as part of a measurement program.

Spoken Word Audits A variety of firms provide services which are similar to SageCircle’s suggested technique for Spoken Word Audits. The Spoken Word Audit uncovers what analysts are saying about your products/services to end-users during […]

Making Data Collection for Measurement Practical [AR Practitioner Question]

AR Metrics & MeasurementQuestion:  How do you make data collection easier for AR measurement programs?

This question gets to the heart of the measurement challenge-if it is too difficult to do, it will not get done.  Making data collection practical involves selecting the right mix of metrics, leveraging outside resources, and automating many tasks.

[This post focuses on the data collection aspects of an effective measurement program.  Therefore, the following related topics will not be addressed 1) picking and prioritizing the right metrics, 2) distinguishing between operational and performance metrics, and 3) using metrics to track performance against pre-defined goals.  For discussion of these topics, please see Online SageContentTM Library series “Metrics and Program Measurement.”]

SageCircle Technique:

  • Selecting the Right Mix of Metrics. First, to make data collection practical, you must pick metrics that meet measurement program goals (e.g. track what you want to measure) and are easy and cost-effective to generate (e.g. data collection requires moderate/minimal effort). Be clear on what you want to measure and collect only that data so you can encourage AR team participation. However, do not reject metrics that initially appear difficult to collect. New options to out-task and automate may make collection easier than you think.
  • Leveraging Outside Resources (Out-Tasking). Out-tasking is a variation of out-sourcing, but instead of contracting out a significant part of your AR program (which SageCircle rarely recommends) this technique refers to contracting out an activity or task. Out-tasking is especially appropriate for activities that are […]

Monitoring Analyst Opinion within the Context of Measurement

AR Metrics & MeasurementCounting analyst mentions is often an operational metric.  However, it is a very incomplete measurement because counting mentions typically does not consider the intensity, the exposure, the focus, the alignment, or the accuracy of the opinion; all critical factors in determining the net impact of an opinion on shaping market perception and influencing buying decisions. If you consider these other attributes it can become a form of performance metric  because it can demonstrate that AR reached out to the analyst and communicated information for them. 

In order to move beyond an at-best tactical performance metric such as counting mentions to something more strategic, AR needs to elevate its focus by tracking opinions and data points (relevance, perception, net impact, etc.) over time on a more regular basis.  Monitoring opinion can help AR understand the effectiveness of its work by tracking whether opinions are improving over time. For instance, merely counting that there were 20 quotes per quarter in Q1, Q2, Q3 and Q4 indicates little on AR effectiveness. However, tracking that overall opinion in those four quarters went from very negative in Q1 to negative in Q2 to neutral in Q3 and positive in Q4 shows that AR has been very effective in understanding the positions of the analysts and presenting the company’s case to them.

It is our recommendation that AR programs do not settle for simply counting mentions in the press and research notes, but move to include analyst opinion monitoring. However, in the spirit of making data collection practical, this does not mean that […]