Category Archives: Enterprise Software

The Evolution of Software Marketing: Hey Marketing, Go Get [This]!

As loyal readers know, I’m a reductionist, always trying to find the shortest, simplest way of saying things even if some degree of precision gets lost in the process and even if things end up more subtle than they initially appear.

For example, my marketing mission statement of “makes sales easier” is sometimes misinterpreted as relegating marketing to a purely tactical role, when it actually encompasses far more than that.  Yes, marketing can make sales easier through tactical means like lead generation and sales support, but marketing can also makes sales easier through more leveraged means such as competitive analysis and sales enablement or even more leveraged means such as influencer relations and solutions development or the most leveraged means of picking which markets the company competes in and (with product management) designing products to be easily salable within them.

“Make sales easier” does not just mean lead generation and tactical sales support.

So, in this reductionist spirit, I thought I’d do a historical review of the evolution of enterprise software marketing by looking at its top objective during the thirty-odd years (or should I say thirty odd years) of my career, cast through a fill-in-the-blank lens of, “Hey Marketing, go get [this].”

Hey Marketing, Go Get Leads

In the old days, leads were the focus.  They were tracked on paper and the goal was a big a pile as possible.  These were the days of tradeshow models and free beer:  do anything to get people come by the booth – regardless of whether they have any interest in or ability to buy the software.  Students, consultants, who cares?  Run their card and throw them in the pile.  We’ll celebrate the depth of the pile at the end of the show.

Hey Marketing, Go Get Qualified Leads

Then somebody figured out that all those students and consultants and self-employed people who worked at companies way outside the company’s target customer size range and couldn’t actually buy our software.  So the focus changed to get qualified leads.  Qualified first basically meant not unqualified:

  • It couldn’t be garbage, illegible, or duplicate
  • It couldn’t be self-employed, students, or consultants
  • It couldn’t be other people who clearly can’t buy the software (e.g., in the wrong country, at too small a company, in a non-applicable industry)

Then people realized that not all not-unqualified leads were the same. 

Enter lead scoring.  The first systems were manual and arbitrarily defined:  e.g., let’s give 10 points for target companies, 10 points for a VP title, and 15 points if they checked buying-within-6-months on the lead form.  Later systems got considerably more sophisticated adding both firmographic and behavioral criteria (e.g., downloaded the Evaluation Guide).  They’d even have decay functions where downloading a white paper got you 10 points, but you’d lose a point every week since if there you had no further activity. 

The problem was, of course, that no one ever did any regressions to see if A leads actually were more likely to close than B leads and so on.  At one company I ran, our single largest customer was initially scored a D lead because the contact downloaded a white paper using his Yahoo email address.  Given such stories and a general lack of faith in the scoring system, operationally nobody ever treated an A lead differently from a D lead – they’d all get “6×6’ed” (6 emails and 6 calls) anyway by the sales development reps (SDRs).  If the score didn’t differentiate the likelihood of closing and the SDR process was score-invariant, what good was scoring? The answer: not much.

Hey Marketing, Go Get Pipeline

Since it was seemingly too hard to figure out what a qualified lead was, the emphasis shifted.  Instead of “go get leads” it became, “go get pipeline.”  After all, regardless of score, the only leads we care about are those that turn into pipeline.  So, go get that.

Marketing shifted emphasis from leads to pipeline as salesforce automation (SFA) systems were increasingly in place that made pipeline easier to track.  The problem was that nobody put really good gates on what it took to get into the pipeline.  Worse yet, incentives backfired as SDRs, who were at the time almost always mapped directly to quota-carrying reps (QCRs), were paid incentives when leads were accepted as opportunities.  “Heck,” thinks the QCR, “I’ll scratch my SDR’s back in order to make sure he/she keeps scratching mine:  I’ll accept a bunch of unqualified opportunities, my SDR will get paid a $200 bonus on each, and in a few months I’ll just mark them no decision.  No harm, no foul. “Except the pipeline ends up full of junk and the 3x self-fulfilling pipeline coverage prophecy is developed.  Unless you have 3x coverage, your sales manager will beat you up, so go get 3x coverage regardless of whether it’s real or not.  So QCRs stuff bad opportunities into the pipeline which in turn converts at a lower rate which in turn increases the coverage goal – i.e., “heck, we’re only converting pipeline at 25%, so now we need 4x coverage!”  And so on.

At one point in my career I actually met a company with 100x pipeline coverage and 1% conversion rates. 

Hey Marketing, Go Get Qualified Opportunities (SQLs)

Enter the sales qualified lead (SQL). Companies realize they need to put real emphasis on someone, somewhere in the process defining what’s real and what not.  That someone ends up the QCR and it’s now their job to qualify opportunities as they are passed over and only accept those that both look real and meet documented criteria.  Management is now focused on SQLs.  SQL-based metrics, such as cost-per-SQL or SQL-to-close-rate, are created and benchmarked.  QCRs can no longer just accept everything and no-decision it later and, in fact, there’s less incentive to anyway as SDRs are no longer basically working for the QCRs, but instead for “the process” and they’re increasingly reporting into marketing to boot.  Yes, SDRs will be paid on SQLs accepted by sales, but sales is going to be held highly accountable for what happens to the SQLs they accept. 

Hey Marketing, Go Get Qualified Opportunities Efficiently

At this point we’ve got marketing focused on SQL generation and we’ve built a metrics-driven inbound SDR team to process all leads. We’ve eliminated the cracks between sales and marketing and, if we’re good, we’ve got metrics and reporting in place such that we can easily see if leads or opportunities are getting stuck in the pipeline. Operationally, we’re tight.

But are we efficient? This is also the era of SaaS metrics and companies are increasingly focused not just on growth, but growth efficiency.  Customer acquisition cost (CAC) becomes a key industry metric which puts pressure on both sales and marketing to improve efficiency.  Sales responds by staffing up sales enablement and sales productivity functions. Marketing responds with attribution as a way to try and measure the relative effectiveness of different campaigns.

Until now, campaign efficiency tended to be measured a last-touch attribution basis. So when marketers tried to calculate the effectiveness of various marketing campaigns, they’d get a list of closed deals, and allocate the resultant sales to campaigns by looking at the last thing someone did before buying. The predictable result: down-funnel campaigns and tools got all of the credit and up-funnel campaigns (e.g., advertising) got none.

People pretty quickly realized this was a flawed way to look at things so, happily, marketers didn’t shoot the propellers off their marketing planes by immediately stopping all top-of-funnel activity. Instead, they kept trying to find better means of attribution.

Attribution systems, like Bizible, came along which tried to capture the full richness of enterprise sales. That meant modeling many different contacts over a long period of time interacting with the company via various mechanisms and campaigns. In some ways attribution became like search: it wasn’t whether you got the one right answer, it was whether search engine A helped you find relevant documents better than search engine B. Right was kind of out the question. I feel the same way about attribution. Some folks feel it doesn’t work at all. My instinct is that there is no “right” answer but with a good attribution system you can do better at assessing relative campaign efficiency than you can with the alternatives (e.g., first- or last-touch attribution).

After all, it’s called the marketing mix for a reason.

Hey Marketing, Go Get Qualified Opportunities That Close

After the quixotic dalliance with campaign efficiency, sales got marketing focused back on what mattered most to them. Sales knew that while the bar for becoming a SQL was now standardized, that not all SQLs that cleared it were created equal. Some SQLs closed bigger, faster, and at higher rates than others. So, hey marketing, figure out which ones those are and go get more like them.

Thus was born the ideal customer profile (ICP). In seed-stage startups the ICP is something the founders imagine — based on the product and target market they have in mind, here’s who we should sell to. In growth-stage startups, say $10M in ARR and up, it’s no longer about vision, it’s about math.

Companies in this size range should have enough data to be able to say “who are our most successful customers” and “what do they have in common.” This involves doing a regression between various attributes of customers (e.g., vertical industry, size, number of employees, related systems, contract size, …) and some success criteria. I’d note that choosing the success criteria to regress against is harder than meetings the eye: when we say we find to find prospects most like our successful customers, how are we defining success?

  • Where we closed a big deal? (But what if it came at really high cost?)
  • Where we closed a deal quickly? (But what if they never implemented?)
  • Where they implemented successfully? (But what if they didn’t renew?)
  • Where they renewed once? (But what if they didn’t renew because of uncontrollable factor such as being acquired?)
  • Where they gave us a high NPS score? (But what if, despite that, they didn’t renew?)

The Devil really is in the detail here. I’ll dig deeper into this and other ICP-related issues one day in a subsequent post. Meantime, TOPO has some great posts that you can read.

Once you determine what an ideal customer looks like, you can then build a target list of them and enter into the world of account-based marketing (ABM).

Hey Marketing, Go Get Opportunities that Turn into Customers Who Renew

While sales may be focused simply on opportunities that close bigger and faster than the rest, what the company actually wants is happy customers (to spread positive word of mouth) who renew. Sales is typically compensated on new orders, but the company builds value by building its ARR base. A $100M ARR company with a CAC ratio of 1.5 and churn rate of 20% needs to spend $30M on sales and marketing just to refill the $20M lost to churn. (I love to multiply dollar-churn by the CAC ratio to figure out the real cost of churn.)

What the company wants is customers who don’t churn, i.e., those that have a high lifetime value (LTV). So marketing should orient its ICP (i.e., define success in terms of) not just likelihood to {close, close big, close fast} but around likelihood to renew, and potentially not just once. Defining different success criteria may well produce a different ICP.

Hey Marketing, Go Get Opportunities that Turn into Customers Who Expand

In the end, the company doesn’t just want customers who renew, even if for a long time. To really the build the value of the ARR base, the company wants customers who (1) are relatively easily won (win rate) and relatively quickly (average sales cycle) sold, (2) who not only renew multiple times, but who (3) expand their contracts over time.

Enter net dollar expansion rate (NDER), the metric that is quickly replacing churn and LTV, particularly with public SaaS companies. In my upcoming SaaStr 2020 talk, Churn is Dead, Love Live Net Dollar Expansion Rate, I’ll go into why this happening and why companies should increasingly focus on this metric when it comes to thinking about the long-term value of their ARR base.

In reality, the ultimate ICP is built around customers who meet the three above criteria: we can sell them fairly easily, they renew, and they expand. That’s what marketing needs to go get!

Book Review: Enablement Mastery by Elay Cohen

I had the pleasure of working with Elay Cohen during my circa year at Salesforce.com and I reviewed SalesHood, his first book, over four years ago.  We were early and happy customers of the SalesHood application at Host Analytics.  I’m basically a big fan of Elay’s and what he does.  With the average enterprise SaaS startup spending somewhere between 40% to 80%+ of revenue on sales, doesn’t it make sense to carve off some portion of that money into a Sales Enablement team, to make sure the rest is well spent?  It sure does to me.

I was pleased to hear that Elay had written a second book, Enablement Mastery, and even more pleased to be invited to the book launch in San Francisco several weeks back.  Here’s a photo of Cloudwords CEO Michael Meinhardt and me at the event.

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I have to say I simply love salesops and sales productivity people.  They’re uniformly smart, positive, results-oriented, and — unlikely many salespeople — process-oriented.  A big part of the value of working with SalesHood, for a savvy customer, is to tap into the network of amazing sales enablement professionals Elay has built and whose stories are profiled in Enablement Mastery.

I read the book after the event and liked it.  I would call it a holistic primer on sales enablement which, since it’s a relatively new and somewhat misunderstood discipline, is greatly in need in the market.

Elay’s a great story-teller so the book is littered with stories and examples, from his own considerable experience building the impressive Salesforce.com sales productivity team, to the many stories of his friends and colleagues profiled in the book.

Some of the more interesting questions Elay examines in Enablement Mastery include:

  • Why sales enablement?
  • Where to plug it organizationally?  (With pros and cons of several choices.)
  • What to do in your first 90 days in a new sales enablement role?
  • What to look for when hiring sales enablement professionals?
  • How to get organizational (and ideally strong CEO) buy-in to the sales enablement program?
  • How sales enablement can work best with marketing?  (Hint:  there is often tension here.)
  • What is a holistic process map for the sales enablement function?
  • How to measure the sales enablement function?  (And it better be more than instructor ratings on the bootcamp.)
  • How to enable front-line managers to be accountable for their role enabling and developing their teams?  (Elay wrote a whole chapter on this topic.)
  • How to conduct a quarterly business review (QBR)?
  • How managers can use basic Selling through Curiosity principles to coach using curiosity as well?
  • How to build an on-boarding plan and program?
  • What core deliverables need to be produced by the marketing and sales productivity teams?

Elay, never one to forget to celebrate achievement and facilitate peer-level knowledge sharing, also offers tips on how to runs sales kickoffs and quota clubs.

Overall, I’d highly recommend Enablement Mastery as a quick read that provides a great, practical overview of an important subject.  If you’re going to scale your startup and your sales force, sales enablement is going to be an important part of the equation.

Kellblog Predictions for 2019

Because I’ve been quite busy of late with the sale of my company, I’m doing a somewhat quicker and lighter (if not later) version of my annual predictions post.  Here goes, starting with a review of last year’s predictions.

2018 Kellblog Predictions Review

1. We will again continue to see a level of divisiveness and social discord not seen since the 1960s. HIT.  Hard to argue I need to justify this one.  Want to argue about it?

2. The war on facts and expertise will continue to escalate. HIT. Unfortunately, the President is leading the charge on this front, with the Washington Post fact checker tallying 7,645 false claims since taking office.

factchecker

3. Leading technology and social media companies finally step up to face ethical challenges. MAJOR MISS.  Well, I nailed that the issue would be critical, but boy did I overestimate the maturity of the management of these companies.

4. AI will move from hype to action, meaning bigger budgets, more projects, and some high visibility failures. HIT, I think.  See this McKinsey report for some interesting survey data on AI adoption and barriers to it.

5. AI will continue to generate lots of controversy about job displacement. HIT. While the optimists say AI will create more jobs than it will displace, many still worry conversely.  Since the prediction was about the controversy continuing, we’ll call it a hit.

6. The bitcoin bubble bursts. MAJOR HIT.  This one partially redeems me for over-estimating Facebook’s management.

btc

7. The Internet of Things (IoT) will continue to build momentum.  HIT. See this Forbes article about data from Dresner Advisory’s 2018 IoT Intelligence Market Study.

8. The freelance / gig economy continues to gain momentum with freelance workers poised to pass traditional employees by 2027. HIT.  Per this Forbes article, 57M people now participate in the gig economy in some way.

9. M&A heats up due to repatriation of overseas cash.  HIT. Per Berkery Noyes, software M&A deal value was up nearly $100B over 2017.  To the extent this was due to overseas cash repatriation I don’t know, but it certainly was a factor.

m-and-a

10. 2018 will be a good year for cloud EPM vendors. MAJOR HIT.  Anaplan went public, Adaptive Insights was acquired by Workday, and Host Analytics was acquired by Vector Capital. 

With 9 hits, two of them major – and with only one offsetting major miss — I should probably just drop the mike and get out of the predictions business.  But no guts, no glory.

Kellblog’s 2019 Predictions

Reminder to see the disclaimers in my FAQ and remember that these predictions are not financial or business advice – they are made in the spirit of fun.  To the extent they’re concrete, that’s to make the game more interesting so we can better assess them next year.  Here we go.

1. Fred Wilson is right, Trump will not be president at the end of 2019. I think Fred’s also right on virtually all of the other predictions made in his epic post, which I won’t attempt to summarize here. Read Fred’s post – and just make sure you read to the end, because it’s not all doom and gloom.  So, as a Kellblog first, prediction #1 is a pointer.

2. The Democratic Party will continue to bungle the playing of its relatively simple hand. Party leaders will continue to fail to realize that the way to beat Trump is not through a hard-left platform with 70% tax rates that caters to the most liberal Democrats – but a centrist, pragmatic, people- and business-friendly platform that certainly won’t be enough for the far left, but will be far better than the Republican alternative for all Democrats, and most importantly, give centrist Republicans a realistic alternative to what their party is offering them.  The Democratic Party will continue to be more concerned with making statements than winning elections.  This may cost it, and the Nation, dearly.

Remember the famous Will Rodgers quote: “I am not a member of any organized political party.  I am a Democrat.”

 3. 2019 will be a rough year for the financial markets. Political problems in the USA, Europe, and increasingly Latin American.  Trade wars.  Record deficits as we re-discover that trickle-down, tax-cut economics don’t work.  Threat of rising interest rates.   Brexit.   Many folks see a bear market coming.

Years ago, I accepted the fact that – like many – I am a hypocrite when it comes to the stock market.  Yes, I absolutely believe that it’s theoretically impossible to time the market.   But yes, I’m entering 2019 with a high allocation to cash and intend to keep it that way.  Hum.  Try to reconcile that.

For fun, let’s makes this concrete and predict that the BVP Emerging Cloud Index will end 2019 at 750.  I do this mostly to provide some PR for Bessemer’s Index, officially launched via the NASDAQ in October, 2018, but which was built on the back of five years of Bessemer maintaining it themselves.

4. VC tightens. Venture capital funding has been booming the past several years and – for the above reasons and others (e.g., the fact that most VCs don’t product enough returns to justify the risk and illiquidity) – I believe there will be tightening of VC in 2019.  If you agree, that means you should raise money now, while the sun’s still shining, and try to raise two years of capital required in your business plan (with some cushion).

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If things follow the recent trends, this will be hardest on average and/or struggling companies as VCs increasingly try to pick winners and make bets conservative in the sense that they are on known winners, even if they have to overpay to do so.  In this scenario, capital on reasonable terms could all but dry up for companies who have gone off-rails on their business plans.   So, if you’re still on rails, you might raise some extra capital now.  Getting greedy by trying to put up two more good quarters to take less dilution on your next round could backfire – you might miss one of those quarters in this increasingly volatile environment, but even if you don’t, VC market tightening could offset any potential valuation increase.

5. Social media companies get regulated. Having failed for years to self-regulate in areas of data privacy and usage, these companies will likely to face regulations in 2019 in the face of strong consumer backlash.  The first real clue I personally had in this area was during the 2016 election when Facebook didn’t just feed me, but actually promoted, a fake Denver Guardian story about a supposedly dead FBI agent linked to “her emails.”  I then read the now-famous “bullshit is highly engaging” quote from this story which helped reveal the depth of the problem:

Or, as former Facebook designer Bobby Goodlatte wrote on his own Facebook wall on November 8, “Sadly, News Feed optimizes for engagement. As we’ve learned in this election, bullshit is highly engaging. A bias towards truth isn’t an impossible goal. Wikipedia, for instance, still bends towards the truth despite a massive audience. But it’s now clear that democracy suffers if our news environment incentivizes bullshit.”

I won’t dive into detail here.  I do think Sheryl Sandberg may end up leaving Facebook; she was supposed to be the adult supervision, after all.  While I think he’s often a bit too much, I nevertheless recommend reading Chaos Monkeys for an interesting and, at times, hilarious insider look at Facebook and/or following its author Antonio Garcia Martinez.

6. Ethics make a comeback, for two reasons.  The first will be as a backlash to the blatant corruption of the current administration.  To wit:  the House recently passed a measure requiring annual ethics training for its members.  The second will have to do with AI and automation.  The Trolley Problem, once a theoretical exercise in ethics, is now all too real with self-driving cars.  Consider this data, based on MIT research in this article which shows preferences for sparing various characters in the event of a crash.

crash

Someone will probably end up programming such preferences into a self-driving car.  Or, worse yet, as per the Trolley Problem, maybe they won’t.  While we may want to avoid these issues because they are uncomfortable, in 2019 I think they will be thrust onto center stage.

7. Blockchain, as an enterprise technology, fades away. Blockchain is a technology in search of a killer application.  Well, it actually has one killer application, cryptocurrency, which is why it was built.  And while I am a fan of cybercurrencies, blockchain is arguably inefficient at what it was built to do.  While Bitcoin will not take down the world electric grid as some have feared, it is still tremendously energy consumptive –in coming years, Bitcoin is tracking to consume 7.7 GW per year, comparable to the entire country of Austria at 8.2 GW.

While I’m not an expert in this field, I see three things that given me huge pause when it comes to blockchain in the enterprise:  (1) it’s hard to understand, (2) it consumes a huge amount of energy, and (3) people have been saying for too long that the second blockchain killer app (and first enterprise blockchain killer app) is just around the corner.  Think:  technology in search of a business problem.  What’s more, even for its core use-case, cryptocurrency, blockchain is vulnerable to being cracked by quantum computing by 2027.

8. Oracle enters decline phase and is increasingly seen as a legacy vendor. For decades I have personally seen Oracle as a leader.  First, in building the RDBMS market.  Second, in consolidating a big piece of the enterprise applications market.  Third, more generally, in consolidating enterprise software.  But, in my mind, Oracle is no longer a leader.  Perhaps you felt this way long ago.  I’d given them a lot of credit for their efforts (if not their progress) in the cloud – certainly better than SAP’s or IBM’s.  But SAP and IBM are not the competitors to beat in the future:  Amazon, Google, and a rejuvenated Microsoft are.  The reality is that Oracle misses quarters, cloud-washes sales, and is basically stagnant in revenue growth.  They have no vision.  They have become a legacy vendor.

The final piece of this snapped into place when Thomas Kurian departed to Google in a dispute with Larry Ellison about the cloud.  DEC’s Ken Olsen once said that Unix was “snake oil” and that was the beginning of the end for DEC.  Ellison once said roughly the same thing (“complete gibberish”) about the cloud.  And now the cloud is laughing back.

9. ServiceNow and/or Splunk get acquired. A friend of mine planted this seed in my mind and it’s more about corporate evolution than anything else.  They’re both great businesses that mega-vendors would love to own – especially if they end up “on sale” if we hit a bear market.

10. Workday succeeds with its Adaptive Insights agenda, meaning that Adaptive’s mid-market and SMB presence will be greatly lessened.   Most people I know think Workday’s acquisition of Adaptive was a head-scratcher.  Yes, Workday struggles in financial apps.  Yes, EPM is an easier entry point than core financials (which, as Zach Nelson used to say, were like a heart transplant).  But why in the world would a high-end vendor (with average revenue/customer of $1M+) acquire a low-end EPM vendor (with average revenue/customer of $27K)?  That’s hard to figure out.

But just because the acquisition was, to be kind, non-obvious, it doesn’t mean Workday won’t be successful with it.  Workday’s goals are clear: (1) to unite Adaptive with Workday in The Power of One – including re-platforming the backend and re-writing the user-interface, (2) to provide EPM to Workday’s high-end customer base, and (3) to provide an alternate financial entry point for sales when prospects say they’re not up for a heart transplant for at least 5 years.  I’m not saying Workday can’t be successful with their objectives.  I am saying Adaptive won’t be Adaptive when they’re done — you can’t be the high-end, low-end, cheap, expensive, simple, complex, agnostic, integrated EPM system.   Or, as SNL put it, you can’t be Shimmer — a dessert topping and a floor wax.  The net result:   like Platfora before them or Outlooksoft within SAP, Adaptive disappears within Workday and its presence in the mid-market and SMB is greatly reduced.

# # #

Disclaimer:  these predictions are offered in the spirit of fun.  See my FAQ for more and other terms of use.

Using “Win Themes” to Improve Your Sales Management and Increase Win Rates

At most sales review meetings what do you hear sales management asking the reps?  Questions like these:

  • What stage is this opportunity in?
  • What value do you have it at in the pipeline?
  • Is there upside to that value?
  • What forecast category is it in?
  • In what quarter will it close?
  • What competitors are in the deal?
  • What products will they be buying?
  • Do they have budget for the purchase?
  • How do we meet their primary requirements for a solution?
  • How have we demonstrated that we can meet those requirements?
  • What are the impacts of not solving those problems?
  • How did they attempt to solve those problems before?
  • Who is impacted by the consequences of those impacts?
  • Who is the primary decision maker?
  • What is the decision-making process?
  • Who else is involved in the decision and in what roles?
  • Who have you developed relationships with in the account?
  • What risk is there of a goal-post move?

And on and on.

Some of these questions are about systems and process.  Some are about forecasting.  Ideally, most are about the problem the customer is trying to solve, the impacts of not solving it, how they tried to solve it before, the ideal solution to the problem, and the benefits of solving it.  But in our collective hurry to be process-oriented, methodology-driven, systems-compliant, and solutions-oriented, all too often something critical gets lost:

Why are we going to win?

What?  Oh shoot.  Yep, forgot to ask that one.  And, of course, that’s the most important one.  As I sometimes need to remind sales managers, while the process is great, let’s not forget the purpose of the process is to win.

(I’ve even met a few sales managers so wedded to process and discipline that I’ve wondered if they’d rather crash while flying in perfect formation than win flying out of it.)

Process is great.  I love process.  But let’s not forget the point.  How can we do that?  With win themes — two to three simple, short, plain-English reasons why you are going to win the deal.  Here’s an example.  We are going to win because:

  • Joe the CFO saw first-hand how Adaptive didn’t scale in his last job and is committed to purchasing a system he can grow with.
  • Our partner, CFO Experts, has worked with Joe in the past, has a great relationship with him, and firmly believes that Host is the best fit with the requirements.

Build win themes into your systems and process.  Don’t add win themes to the bottom of your Salesforce opportunity screen; put them right up top so the first conversation about any deal — before you dive into the rabbit hole — is “why are we going to win?”   Two to three win themes should provide a proposed answer and a healthy platform for strategic discussion.

(And, as my friend Kate pointed out, in case it didn’t come up in the win theme conversation, don’t forget to ask “why might we lose?”)

Using "Win Themes" to Improve Your Sales Management and Increase Win Rates

At most sales review meetings what do you hear sales management asking the reps?  Questions like these:

  • What stage is this opportunity in?
  • What value do you have it at in the pipeline?
  • Is there upside to that value?
  • What forecast category is it in?
  • In what quarter will it close?
  • What competitors are in the deal?
  • What products will they be buying?
  • Do they have budget for the purchase?
  • How do we meet their primary requirements for a solution?
  • How have we demonstrated that we can meet those requirements?
  • What are the impacts of not solving those problems?
  • How did they attempt to solve those problems before?
  • Who is impacted by the consequences of those impacts?
  • Who is the primary decision maker?
  • What is the decision-making process?
  • Who else is involved in the decision and in what roles?
  • Who have you developed relationships with in the account?
  • What risk is there of a goal-post move?

And on and on.
Some of these questions are about systems and process.  Some are about forecasting.  Ideally, most are about the problem the customer is trying to solve, the impacts of not solving it, how they tried to solve it before, the ideal solution to the problem, and the benefits of solving it.  But in our collective hurry to be process-oriented, methodology-driven, systems-compliant, and solutions-oriented, all too often something critical gets lost:

Why are we going to win?

What?  Oh shoot.  Yep, forgot to ask that one.  And, of course, that’s the most important one.  As I sometimes need to remind sales managers, while the process is great, let’s not forget the purpose of the process is to win.
(I’ve even met a few sales managers so wedded to process and discipline that I’ve wondered if they’d rather crash while flying in perfect formation than win flying out of it.)
Process is great.  I love process.  But let’s not forget the point.  How can we do that?  With win themes — two to three simple, short, plain-English reasons why you are going to win the deal.  Here’s an example.  We are going to win because:

  • Joe the CFO saw first-hand how Adaptive didn’t scale in his last job and is committed to purchasing a system he can grow with.
  • Our partner, CFO Experts, has worked with Joe in the past, has a great relationship with him, and firmly believes that Host is the best fit with the requirements.

Build win themes into your systems and process.  Don’t add win themes to the bottom of your Salesforce opportunity screen; put them right up top so the first conversation about any deal — before you dive into the rabbit hole — is “why are we going to win?”   Two to three win themes should provide a proposed answer and a healthy platform for strategic discussion.
(And, as my friend Kate pointed out, in case it didn’t come up in the win theme conversation, don’t forget to ask “why might we lose?”)

Video of my SaaStr 2018 Presentation: Ten Non-Obvious Things About Scaling SaaS

While I’ve blogged about this presentation before, I only recently stumbled into this full-length video of this very popular session — a 30-minute blaze through some subtle SaaS basics.  Enjoy!

I look forward to seeing everyone again at SaaStr Annual 2019.

My Appearance on DisrupTV Episode 100

Last week I sat down with interviewers Doug Henschen, Vala Afshar, and a bit of Ray Wang (live from a 777 taxiing en route to Tokyo) to participate in Episode 100 of DisrupTV along with fellow guests DataStax CEO Billy Bosworth and big data / science recruiter Virginia Backaitis.

We covered a full gamut of topics, including:

  • The impact of artificial intelligence (AI) and machine learning (ML) on the enterprise performance management (EPM) market.
  • Why I joined Host Analytics some 5 years ago.
  • What it’s like competing with Oracle … for basically your entire career.
  • What it’s like selling enterprise software both upwind and downwind.
  • How I ended up on the board of Alation and what I like about data catalogs.
  • What I learned working at Salesforce (hint:  shoshin)
  • Other lessons from BusinessObjects, MarkLogic, and even Ingres.

DisrupTV Episode 100, Featuring Dave Kellogg, Billy Bosworth, Virginia Backaitis from Constellation Research on Vimeo.