Category Archives: rants

Dear Marketer On a Budget …

It’s never quantity, it’s quality.

And audience matters!

  • The majority of people who follow a celebrity aren’t following because they want pitches.
  • The majority of people who follow a major influencer aren’t following because they jive with that influencer.
  • And those that follow a minor influencer are following for a reason and are generally of a certain consumer class (based on the common reason). Don’t ask a fashion influencer for low cost apparel to sell a high end luxury watch, and in our space, don’t ask an influencer whose only use for tech is to make brainless content for followers to consume to sell an enterprise product.

These are hard truths that have been the case since even before influencers, so the following linked post from Phoebe Sophia Russell from “In the Style” (on how 150,000 on a celebrity Instagram post only produced $800 in sales) didn’t surprise me. It’s like the new startup that forks over 100K for a big bash at ISM only to come back surprised when they didn’t even manage to get a single follow up demo scheduled.

Think back to the days when Oracle, SAP and IBM (and almost no one else) used to advertise everywhere, but see almost nothing for their stadium sponsorships, airline magazine ads, etc. All it bought them was name recognition — which was important IF you could get in front of a client who’d seen your business name (repeatedly) and not your competitors (and then instinctively thought of your company as successful), but they still had to get those RFPs and meetings, which means investing in traditional sales channels that would enable that. But that’s not a strategy the vast majority of companies can afford!

SI, which has been giving away free marketing advice (including great advice from Pinky and the Brain#) since it began (because ??? ?????? has no intention of being a marketer … but still knows what works*), including this piece on Marketing 101 which appeared with the FAQ in 2007, always advocated for intelligent spending for smaller companies which focussed on publications (on & offline), events, and thought leaders who had the necessary audience, even if it was small. 100 buyers who actually want the type of products covered by the publications, events, and thought leaders is better than 100,000 individuals who have zero interest.

And the good news is that, even though many marketers during the heyday of free money would say I was off my rocker, the best marketers today pretty much agree with me, include the Marketing Maven Sarah Scudder who has teamed up with Dr. Elouise Epstein (in their DualSource Discourse podcast) to help educate you.

(Which is great since there aren’t many of us left trying to … going back to when I started, it’s just Jason Busch, Jon W. Hansen, Peter Smith, and Pete Loughlin who haven’t given up. Fortunately, we were joined by Kelly Barner and Philip Ideson of Art of Procurement and now we have David Loseby, Tom Mills, Joël Collin-Demers, and James Meads as well … )

Focus, Audience, and Education matter!

* Every single sponsor of SI before ??? ?????? joined Spend Matters in ’16 (to ’22) [and suspended sponsorships] was acquired by ’19.

# The Brain Gives Pinky a Marketing Lesson
# Where Pinky and the brain devise a plan to market their strategy

PLEASE TELL ME: Why buys research cobbled together by “researchers” who don’t have a clue as to what they’re researching?

This press release just went live yesterday:

Sourcing and Procurement Operation Software Industry Future Trends Analysis

which announced a new “Sourcing and Procurement Operation Software market” research report from Orbis that opened with obvious (that we are a pivotal sector), stated a few more obvious facts around software delivery methods (could-based, traditional ASP based), broad market sectors (business, manufacturing, education, government, etc.), and top players that include:

  • GEP SMART – Source to Pay
  • Jaggaer – Source to Pay
  • Corcentric – Source to PayMENTS
  • Coupa – business spend management, sorry, margin multiplier maker based on Source to Pay

which are in every map, quadrant, wave, logo map, etc. … so no surprise there but …

  • Precoro – Procure to Pay

which only solves half the problem

  • Servicenow – workflow management
  • Kissflow – low code app development

which can build solutions, but doesn’t offer them out of the bark

  • Vendr – SaaS marketplace

where you can buy some of them

  • ClickUp – Project Management

which is not even remotely related to S2P at all!!! And if these are the top 9 vendors, I shudder at what other totally irrelevant, non-comparable, vendors were included!

A report such as this should ONLY include vendors that offer real, and core, Source-to-Pay functionality, and only if they break down the space into segments where included vendors are actually comparable!

And it shouldn’t be hard as there are over 600 such vendors in some core area of S2P … you don’t have to include generic workflow engines, project management, buy-an-app platforms, or generic project management just to hit 25!

Reports like these give analyst firms, and analysts, a bad name!

Why Won’t They Stop?!?

Dear Fellow Independent Consultants: How Can We Dispel the PROCUREMENT STINK!

Hopefully you know by now what the doctor is talking about, but if not, as per the Sourcing Innovation article from two months ago, PROCUREMENT STINKS and we should not deny it anymore.

In a nutshell, and just is just the tip of the garbage heap:

  1. Case studies are ranker than expired fish in a microwave on high.
  2. Approximately 85% of companies are AI-washing everything.
  3. The Gen-AI claims that it will deliver Procurement to the enterprise are FALSE.
  4. Intake/Orchestration is totally useless on its own.
  5. Consultancies are often more in the dark than the Procurement departments they are claiming they can help.
  6. DEI is being misused to push agendas and sometimes to Do Extra-legal Initiatives,

And, as per a poll put out by THE REVELATOR, we are especially concerned with the fact that 14% of practitioners would rather trust a salesperson or a marketer than a consultant or an analyst! (Now, part of this is probably due to the lack of independence from many consultancies who continually pushed their vendor “partners” on the client whether or not the “partner” was the best solution, but still, it’s not ideal. [And, hopefully, as a result of the bloodbath, the consultants who weren’t offering value to their clients were the first to go.])

As far as the doctor is concerned, the most trusted advisors in the space should be:

  1. analysts
  2. independent consultants

and that’s it! No sales people, no marketers, no influencers, no made up positions. Sales people are paid to sell, not to solve problems, and marketers are paid for leads and, in some organizations, there is no correlation between “leads” and the sales funnel.

So how can those of us not at a bigger consultancy, where we would be joined at the hip to preferred partners or subsidiaries (and not recommending them results in a pink slip), dispel some of the stink and regain some trust?

The first thing the doctor wants to state is that he has even less ideas here than he does for his fellow analysts. In fact, the ideas he does have should be pretty obvious.

1. Disclose any (formal) relationships we have with vendors that are recommended.

Even if a partner is the best recommendation for the client, we must still disclose the relationship, especially if there is any additional benefit we get from the recommendation (and definitely if the benefit is financial). (In addition, we should make extra effort to demonstrate that we did thoroughly evaluate the identified alternatives and have a number of reasons for the partner recommendation that are specific to the client’s needs).

2. Create RFPs based on identified needs, not free vendor templates or analyst map outlines.

It’s critically important that we don’t take shortcuts here because vendor templates are designed to ensure that the vendor who gave the template away always comes out on top (by focussing in on the requirements that the vendor executes best) and analyst map requirements focus on a set of requirements that the analysts can use to compare vendors on the same scale, not on a set of requirements that is relevant for selecting a platform for a specific customer, or even a customer of a specific size in a specific vertical.

3. Recommend vendors based on technical fit and hard requirements, not cultural fit and soft requirements.

Just like it’s not an analyst’s job to judge cultural fit or other soft factors in their analysis (as that varies too much by company to even take a shot in the dark), it’s not our job to tell clients who is a good fit — that’s for them to decide. We’re there to tell them which companies can provide a good solution, and let them decide who they are comfortable with as they will be stuck with the vendor for 3, 5, 7 or more years (not us)!

4. Make recommendations on expected ROI for the customer, not follow-on work potential.

At bigger consultancies, where the consultant is often joined at the hip to partners (and must use/recommend their solution if it can be force-fit), they are often also pressured to making the recommendation that will lead to the most follow-on work and engagement extensions (and, preferably, long drawn-out implementations and integrations). As far as the doctor is concerned, this is one of the most egregious things you can do. Especially considering that, in Procurement, work is never done and the client will always need more advice, new technology, and more help.

If we focus on the technology that will deliver the most ROI, then we are enabling the client to generate funding for additional projects and, hopefully, make us their consultant of choice in the process by focussing on them before us. The reality is that there isn’t a Procurement organization anywhere, not even in the upper quartile of Hackett Group top performers, that has all of the resources, technology and knowledge it needs. So we should never think it’s a one-and-done situation if we do well (and, moreover, do it at a fair price-point where we deliver an ROI).

5. Don’t take on projects we’re not qualified to do.

While this might get you fired at a bigger consultancy where the motto is the traditional consulting motto of “sign now, figure it out later” (because they have enough expertise and people across enough areas to do it), we need to be better (because we don’t have expertise anywhere or a lot of people to fall back on). If we’re approached with something that’s not in our wheelhouse as a consultant, we take it to the rest of the company. If it doesn’t fit anyone’s wheelhouse, we need to politely decline the work. If it means we never get asked again, then we know that’s a client we wouldn’t want to work for as any client with working brain cells would be impressed and honoured to know a consultant who didn’t just say yes but instead thought about whether or not they could deliver enough value relative to their price tag before accepting the work.

Furthermore, if we take the time to educate the client on what our services are and where we could help, we should be the first call they make when they have the right project, and maybe even get it in a sole-source negotiation if the project doesn’t cross a mandatory public bid threshold. People worth working for value honesty, and are very likely to come back to you, either at their current company or their next company, if you are honest about what you can and can’t do and what value you can provide. (Furthermore, if you investigate the company and can identify something you could do to help them, nothing stops you from proposing that project and working with them to close that project while helping them find the right consultant for the project you can’t do.)

At the end of the day, no one ever ruined their reputation by saying no to work they weren’t suited for — they ruined their reputation by taking on work they weren’t qualified to even talk about and then f6ck1ng it up royally.

the doctor‘s not sure it’s enough, but it’s a start, and if other independent consultants make an effort to figure out how to restore our reputation, maybe we’ll find the answer, provide the value that we are engaged to provide, and get back the trust we should have.

The Gen-AI Crash Can’t Come Soon Enough!

Author’s note: this first appeared as a LinkedIn post, elaborated upon in the comments of THE REVELATOR‘s post it referenced.

$1 trillion rout hits Nasdaq 100 over AI jitters in worst day since 2022!

This is a headline from the Economic Times this week. And a foreshadowing of things to come.

As far as the doctor is concerned, the impending The Gen-AI Cr@p market collapse can’t happen fast enough! Too many people don’t remember the 80s and how all the AI “promises, promises, that were made were the promises, promises they betrayed” …

because processing power, new languages/models/constructions, and expert mimicry is not enough!

The reality is that, until we have a fundamentally better understanding of human intelligence, or can at least assemble and properly support as many cores as humans have neurons [which, FYI, we shouldn’t conceive of as we couldn’t produce the energy requirements with current technology globally to power it] (and not the equivalent of a pond snail at best … look where that got us, it’s golden nugget of insight is we should eat one rock a day), there is zero chance of a new AI “breakthrough” actually approximating anything close to intelligence.

All of the true advancements in our lifetime are going to come from human intelligence (HI!) (that creates better algorithms, models, processes, etc. and then properly, manually, embeds those enhancements in next generation tech).

Remember, they’ve been promising us true AI since the [19]70s … and they are no closer now then the great minds who created, and in their wiser years abandoned, AI (which has materialized as Artificial Idiocy) because some pursuits are still beyond the grasp of mice and men (and others shouldn’t be attempted)!

Every 3 to 5 years they promise us that the brand new shiny tech is the Staples Big Read Easy Button, and every 3 to 5 years this brand new shiny tech fails to deliver. Gen-AI is just the latest in a long line of over-hyped, under-performing tech whose “hype” cycle is almost over and the next tech that is going to bring us a great market crash (which, giving the ridiculous amount of money dumped into this technology which will never be appropriate for the Enterprise, could bring about a crash that might rival the great dot.com crash of 2000 – and if you don’t remember that, you really should look it up — a lot of software providers, especially those whose solutions provided limited actual value relative to the investment made [or money wasted on “marketing” and “brand”] bit the dust).

The even sadder reality of the situation is that we don’t need the tech. In almost every business domain, there has been software which, with a bit of manpower and human intelligence, has solved the majority of our current business problems, even the most complicated global supply chain/trade problems. All we had to do was stop using the monolith technology from two-plus decades ago and take a small chance on newer, better, more powerful players who started to solve real problems with software the average Jane could use.

In Procurement, the vast majority of companies aren’t using the tech we had ?????? ???? years ago! (When the doctor built the leading strategic sourcing ???????????? solution (the first with multi line item support) and THE REVELATOR had a leading ML (machine-learning) based application for ????????? ????? ???????? ?????????????? and realization [for everyone else, think guided sourcing strategy, like Levadata does for electronics, based on market and organizational data, with execution support]).

If the average organization even had this V 1.0 technology, they’d do SO MUCH better across the board (and now we are at V 3.0 in most Procurement applications; in optimization, what I did at Iasta [acquired by Selectica, rebranded Determine, who sunset what they didn’t understand] and consulted on (in other players) after was V2 and Trade Extensions (acquired by Coupa) gave us V3 with full supply chain support and modelling capability beyond your dreams (and now maybe Coupa’s understanding with Arne and Fredrik (founders) gone … but there are those of us who still understand the phenomenal vision and realization thereof of the great Arne Andersson).

Also, the reality is that if anyone understood what Coupa Supply Chain Optimization [Llamasoft] or Logility [Starboard] could do in the right hands … THE REVELATOR‘s parts management dreams and scenario-based Procurement guidance from the late 90s and early 00s would come true.

(And we don’t need no fake-take to make it happen! Proper catalog-enhanced true SaaS solutions have been built with integrated intake for the last decade. You just have to look beyond the same old, same old 10 to 20 vendors that Gartner and Forrester tell you about every year (pretending that the other 656 don’t exist). Vroozi [see our 2-part summary: Part I and Part II] has had this capability since day one, and once all these Gen-AI and fake-take plays come crashing down because they don’t actually enable true Procurement or have any real Procurement capability under the hood, you’re going to see a new generation of true Strategic Procurement providers rise up and offer something that every enterprise, and mid-size enterprises in particular, needs and can benefit from. And when this reckoning comes, it will humble any organization still on one of these powerless platforms. So the time to find a real platform is now!)

If You Still Don’t Believe That Gen-AI is Bad for Procurement …

Then maybe you should do the math.

It’s very expensive for what it doesn’t do. You can pay 10K a month or more just for a conversational interface to search your data or push data into your applications. For 10K a month, you can get a decent core P2P application or source-to-contract application that, well, actually does something.

It’s even more expensive to train these systems on your policies, connect them to your applications, test that basic requests generate reasonable responses, train it to guide your users to get to an eventual answer, and so on. This could easily be more than a year or three of license fees.

But the true costs are in the utilization. Every time a user asks a question, or responds to a question posed by the Gen-AI to try and elicit the users intent, it takes compute time. LOTS of compute time. At least 10X the compute time of a standard search engine or keyword based retrieval system. In some cases, 30X. (The wattage required is easily 10 to 30 times traditional Google search.) So if you’re a mid-sized organization with more than 1,000 employees, a portion of your cloud computing costs, which average between 2.4 Million and 6 Million a year (according to CloudZero), is going to increase 10X to 30X. Let’s say 5% of that was basic search and inquiry, 120K to 300K. Almost inconsequential. But multiply it by 10 to 30, and you’ve just added another 1 Million to 9 Million to your bill. Think about that.

That “low-cost” Gen-AI “chatbot” that makes enterprise search and application interface “easy” (but not as easy as a well designed workflow, FYI), that you think costs 10K a month after implementation, training, and most importantly, cloud computing costs could actually be costing you 100K a month (or even 500K). For what? A fancier Google?

As Procurement professionals, you can, and should, do the math. So even if you don’t believe the doctor when he says Gen-AI is a fallacy, then believe the math.

The math says Gen-AI is just NOT worth it.