July 31, 2016

But Their LTV Isn't Very Good!!

Who cares?

I ran into this one recently. The Marketing Executive held a report from a noted catalog boutique agency. The report suggested that customers acquired from "digital" sources were worth much less than customers acquired from "catalogs".
  • Catalog Sourced Buyer = $50.00 Lifetime Value.
  • Digital Sourced Buyer = $20.00 Lifetime Value.
The Marketing Executive said, earnestly ...
  • "We don't want the Digital buyer ... they're worth less."

You know what this is?

Yup ... it's Lizard Logic!!

Old school catalog leaders are notorious for turning away "digital" buyers because LTV is not as good.

Who cares?

Do you think your CFO, if you told her that you could acquire 100,000 customers who would each generate $20 profit in the next five years, would say ... "nah, I don't want an additional $2,000,000 profit"?

Your CFO would flog you if you didn't generate $2,000,000 additional profit.

Here's the next line of reasoning I hear.
  • "But the digital buyer doesn't like buying from the catalog, so that's a bad thing."
Who cares?

You know what? If the digital customer doesn't like buying from the catalog ... don't send the digital customer catalogs!!

Here's the next line of reasoning I hear:
  • "But we are a catalog brand. It's our job to mail catalogs."

You are a merchant. It is your job to sell things.

You want every dollar of profit you can find. Period. It is SO HARD to generate profit. Why would you turn profit away simply because the customer is worth less than another customer?

July 28, 2016

Impacting LTV

You just acquired a new customer. You lost money on the transaction (that's common).

You want your money back.

Which of the following two strategies is most likely to get your money back.
  1. Market normally to the customer ... wait until the customer hasn't purchased in 18 months, then use vendor-centric reactivation strategies coupled with discounts and promotions to "win-back" the customer.
  2. Immediately work hard to make sure the customer is happy with the first order, and encourage the customer to purchase for a second time within the first ten weeks following a first order?
The answer isn't even close.

It's (2).

Vendors push for (1) because that's how they make money.

You need to push for (2) because when the customer purchases for a second time (especially within 10 weeks), the customer is worth A LOT MORE than when you wait 18 months to convert the customer to a second purchase. You earn all of that incremental profit in the short-term, and, you push the customer to 3x or 4x or 5x status faster, so you earn even more profit in the long-term.

Any lifetime value simulation makes it perfectly clear that you have to do everything possible to get a customer to place a second order within 10 weeks of a first order.

What stops you from taking advantage of this fact?

What stops your call center from calling this customer to make sure the customer is happy? It's called a "call center", right? So call the customer!!

Ten weeks ... 70 days.

That's the window when you can make the biggest impact on LTV.

July 27, 2016

It's Fun To Acquire A Customer Via Discounts And Free Shipping!

It sure it!

But is it the right thing for your business? How does LTV vary between a customer earned the honest way (full price, no promotions) and a customer earned via cheating (discounts, promotions, free shipping)?

There are times when the customer earned via cheating is worth more, long-term.

There are times when the customer earned the honest way is worth more, long-term.

Your job is to do the math. No more theoretical arguments.

Let's run through a brief example. I typically create twelve-month profit value models for folks. The models might reveal the following:

Customer Earned The Honest Way.
  • Probability of Purchasing, Next 12 Months = 40%.
  • Amount of Net Sales Generated if Customer Purchases = $200.00.
  • Gross Margin Percentage = 60%.
  • 12 Month Ad Cost = $20.00.
  • Pick/Pack/Ship Expense, as a % of Sales = 5%.
  • 12 Month Profit = 0.40*$200.00*(0.60 - 0.05) - $20.00 = $24.00.
Customer Earned Via Cheating.
  • Probability of Purchasing, Next 12 Months = 45% (better).
  • Amount of Net Sales Generated if Customer Purchases = $215.00 (better).
  • Gross Margin Percentage = 53% (worse due to discounts/promos).
  • 12 Month Ad Cost = $20.00.
  • Pick/Pack/Ship Expense, as a % of Sales = 10% (worse due to free shipping promos).
  • 12 Month Profit = 0.45*$215.00*(0.53 - 0.10) - $20.00 = $21.60.
Well isn't that fun?!
  • The discount/promo buyer is more loyal.
  • The discount/promo buyer spends more.
  • The discount/promo buyer generates less profit.
Now, as long as the brand is able to acquire 12% more customers via discounts/promos, then the math works out well ... you'll generate 11% less future profit per customer but you'll generate 12% more customers yielding more profit.

It is entirely possible that the discounts & promotions & free shipping are the right thing to do for your business.

But you have to do the math to know, don't you?

Are you running the math? Or are you being a "strategic marketer"?

Please ... run LTV math. I'm beggin' ya!

July 26, 2016

Just Show Me How To Calculate LTV

I know, I know, you just want simple math, something you can calculate on your own. 

Let's do something at a 30,000 foot level. Doing something at this level is better than the 90% of you who are not calculating LTV in any way, shape, or form.

Step 1:  Select any customer who purchased for the first time between 20100700 and 20110700.

Step 2:  Record the profit/loss generated by that customer on the first purchase. Don't have that data? Go get it. You wanted to do this yourself, so there are certain data elements you have to have. You'll have to speak with somebody in Finance. You'll have to speak with somebody in Marketing. You'll have to be proficient at calculating profit. You can do this!

Step 3:  In the next 12 months following the first order, please record the following data elements for each customer.
  1. Total net sales generated.
  2. Total gross margin dollars generated.
  3. Total ad cost spent against this customer.
  4. Margin Factor (percentage of margin that flows through to profit, independent of ad cost).
Step 4:  In months 13-24 following the first order, please record the following data elements for each customer.
  1. Total net sales generated.
  2. Total gross margin dollars generated.
  3. Total ad cost spent against this customer.
Step 5:  In months 25-36 following the first order, please record the following data elements for each customer.
  1. Total net sales generated.
  2. Total gross margin dollars generated.
  3. Total ad cost spent against this customer.
Step 6:  In months 37-48 following the first order, please record the following data elements for each customer.
  1. Total net sales generated.
  2. Total gross margin dollars generated.
  3. Total ad cost spent against this customer.
Step 7:  In months 49-60 following the first order, please record the following data elements for each customer.
  1. Total net sales generated.
  2. Total gross margin dollars generated.
  3. Total ad cost spent against this customer.
Now, this isn't going to get you to lifetime value, but it will get you to 5-year value, and that's a big deal.

Let's say that you have the following averages for Step 3, Step 4, Step 5, Step 6, and Step 7:
  • Step 3 = $80.00 Sales, 50% Gross Margin, $20.00 Ad Cost, 10% Margin Factor.
  • Step 4 = $60.00 Sales, 50% Gross Margin, $16.00 Ad Cost, 10% Margin Factor.
  • Step 5 = $45.00 Sales, 50% Gross Margin, $12.00 Ad Cost, 10% Margin Factor.
  • Step 6 = $35.00 Sales, 50% Gross Margin, $10.00 Ad Cost, 10% Margin Factor.
  • Step 7 = $25.00 Sales, 50% Gross Margin, $8.00 Ad Cost, 10% Margin Factor.
For each step, we calculate annual profit.
  • Step 3 = $80.00 * 0.50 - $20.00 - $80.00 * 0.50 * 0.10 = $16.00 profit.
  • Step 4 = $60.00 * 0.50 - $16.00 - $60.00 * 0.50 * 0.10 = $11.00 profit.
  • Step 5 = $45.00 * 0.50 - $12.00 - $45.00 * 0.50 * 0.10 = $8.25 profit.
  • Step 6 = $35.00 * 0.50 - $10.00 - $35.00 * 0.50 * 0.10 = $5.75 profit.
  • Step 7 = $25.00 * 0.50 - $8.00 - $25.00 * 0.50 * 0.10 = $3.25 profit.
Alright friends, we've got LTV:
  • Year 1 = $16.00 profit.
  • Year 2 = $11.00 profit, $27.00 cumm profit.
  • Year 3 = $8.25 profit, $35.25 cumm profit.
  • Year 4 = $5.75 profit, $41.00 cumm profit.
  • Year 5 = $3.25 profit, $44.25 cumm profit.
At a high level, you have LTV at a cumm level for each of the first five years a customer is on your housefile.

Remember yesterday when we calculated payoff horizons? Apply that logic to your customer base after knowing how much profit you generate from a first order, and you've got everything you need to perform a 30,000 foot level LTV analysis ... remember, 90% of folks aren't calculating anything, so by following the simple steps here, you are well ahead of the curve. From here, you can follow your favorite University Professor and dig deep into advanced LTV theory.

But at least you'll be ahead of 90% of the competition.

That counts for something, right?

And you didn't have to pay a penny to obtain the information.

24 Days of Denim

A simple idea (promote new items) and they get free press ... and even if they had to pay a trade journal a fee for the publicity, it's not terribly expensive, right?

In so many of my Merchandise Forensics projects, it is painfully obvious that new items need to be promoted. And since new items don't usually perform well, you don't promote the new items in expensive channels (paper, television). You promote new items in inexpensive channels (PR, Email, Content, Video).

Tell me why you couldn't copy this idea ... what would stop you from doing something similar?

Have you noticed that folks are experimenting in July/August ... when sales are sluggish and the risk is low? What would stop you from experimenting when sales are sluggish?

July 25, 2016

Payoff Horizon

Let's work through a very simple example.

Let's say that there are only two customers I can acquire each year.
  • Each newly acquired customer generates $20.00 profit in year one, $12.00 profit in year two, and $8.00 profit in year three.
  • Customer #1 can be acquired at a loss of $10.00.
  • Customer #2 can be acquired at a loss of $25.00.
What should the strategy be for this company?
  1. Do not acquire either customer, because the company loses money acquiring the customer?
  2. Acquire only Customer #1, since Customer #1 is generated at a better profit rate than Customer #2?
  3. Acquire both Customer #1 and Customer #2 each year?
This can be answered easily, by simply doing a bit of math. Let's run a three year scenario for each strategy.

If we do not acquire either customer, then here's what happens.
  • Year 1 = $0.00 profit.
  • Year 2 = $0.00 profit + $0.00 profit.
  • Year 3 = $0.00 profit + $0.00 profit + $0.00 profit.
  • Three Year Profit = $0.00.
Let's say for each of the next three years, we only acquire Customer #1 each year.
  • Year 1 = -$10.00 + $20.00 = $10.00 profit.
  • Year 2 = $12.00 (from year 1 customer) + (-$10.00 + $20.00) = $22.00 profit.
  • Year 3 = $8.00 (from year 1 customer) + $12.00 (from year 2 customer) + (-$10.00 + $20.00) = $30.00 profit.
  • Three Year Profit = $10.00 + $22.00 + $30.00 = $62.00.
Let's say that for each of the next three years, we acquire both Customer #1 and Customer #2. We already know the following for Customer #1:
  • Year 1 = $10.00 profit.
  • Year 2 = $22.00 profit.
  • Year 3 = $30.00 profit.
So let's run the same scenario for Customer #2.
  • Year 1 = -$25.00 + $20.00 = $5.00 loss.
  • Year 2 = $12.00 (from year 1 customer) + (-$25.00 + $20.00) = $7.00 profit.
  • Year 3 = $8.00 (from year 1 customer) + $12.00 (from year 2 customer) + (-$25.00 + $20.00) = $15.00 profit.
  • Three Year Profit = -$5.00 + $7.00 + $15.00 = $17.00.
In total, then, the company that acquires both Customer #1 and Customer #2 generates the following:
  • Year 1 = $5.00 profit.
  • Year 2 = $29.00 profit.
  • Year 3 = $47.00 profit.
  • Three Year Profit = $5.00 + $29.00 + $47.00 = $71.00.
Which business do you wish to manage?
  • Do Not Pursue Customer 1/2 = $0.00 + $0.00 + $0.00 = $0.00 three year profit.
  • Pursue Only Customer #1 = $10.00 + $22.00 + $30.00 = $62.00 three year profit.
  • Pursue Customer #1 + #2 = $5.00 + $29.00 + $47.00 = $71.00 three year profit.
If your goal is to never lose money acquiring customers, you go with the first strategy, and in three years, you have no incremental new profit.

If your goal is to maximize 12-month return on investment, then you go with the second strategy, and three years from now you have a customer file generating $30.00 of incremental profit, and for the three-year period, you generated $62.00 profit.

If your goal is to maximize the long-term health of your business, then you go with the third strategy, and three years from now you have a customer file generating $47.00 of incremental profit, and for the three-year period, you generated $71.00 profit.



Don't you think your Executive Team wants to have a discussion about whether they should pursue just Customer #1 or pursue both Customer #1 and Customer #2 each year?

Ever wonder why your business doesn't grow? Maybe you are not pursuing Customer #1 and you are not pursuing Customer #2.

Ever wonder why your business grows slowly? Maybe you are not pursuing Customer #2.

Ever wonder why profit as a percentage of sales is sluggish but total profit is good? Maybe you are pursuing both Customer #1 and Customer #2.

Show of hands ... 
  1. How many of you calculate Lifetime Value?
  2. How many of you know specifically which of the three strategies outlined above your business should execute to achieve company goals?
If you didn't raise your hand to #1, it's time to hire somebody like me, or hire your favorite vendor. There are many credible vendors who can help you measuring long-term value.

If you didn't raise your hand to #2, don't you think it is time to learn what your business will look like in the future based on different payoff horizons? Contact me now (kevinh@minethatdata.com) and let's get busy.

July 24, 2016

Lifetime Value Week

On Twitter, I get a lot of questions about lifetime value.

Lifetime Value, or "LTV" as some call it, is simply a measure of the future profit generated by a customer acquired today. There are 22,493 ways to calculate LTV ... so the point of this week isn't to teach you how to calculate LTV, though I will certainly share my thoughts about how I calculate it. Too many pundits, vendors, and analytical gurus will complain about any calculation style ... they're missing the point ... less than 10% of the companies I work with even bother to calculate LTV in the first place. Why have an argument about how to calculate LTV when almost everybody chooses not to calculate LTV?

Here's the interesting thing ... almost any statistical model created on an annual basis has LTV essentially built into it. Smart marketers who avoid all of the nonsense about individual campaigns tend to elevate the value of LTV to (at minimum) Marketing Leadership and Finance Leadership.

LTV requires the marketer/analyst to measure profit. Without profit, LTV has no meaning whatsoever. Who cares that a customer will spend $90 in the next twelve months if only 30% of sales flow-through to profit and the company will spend $30 in ad cost marketing to the customer?

Why was the last paragraph important?
  • Profit = $90.00 * 0.30 - $30.00 = $27.00 - $30.00 = ($3.00).
See what I mean? That $90.00 LTV value is meaningless because it represents sales, not profit. Profit equates to a loss of $3.00. #OhBoy.

LTV, when measured in terms of variable profit (what some call "contribution" ... essentially it is profit prior to subtracting fixed costs), takes one of two trajectories.
  1. LTV is low, and tends to drop off quickly when annual repurchase rates are low.
  2. LTV is plentiful, and can actually increase over time if the customer has a 75% or greater annual repurchase rate and purchases 6+ times per year.
(1) is the reason that so many catalog brands are stuck and cannot grow. They cannot harvest enough long-term profit out of the customer (due to low annual repurchase rates and high ad-to-sales ratios) to overcome the steady decline in co-op response rates.

(2) is the reason that Wal-Mart, Amazon, Starbucks, McDonalds and many other "mega-brands" are what they are ... the customer purchases over and over and over and perpetually generates a mostly constant level of profit ... and this is what leads to the loyalty gurus claiming credit for their efforts (though their efforts have minimal impact on loyalty).

The worst companies spend to a cost-per-new-customer, independent of profit.

Good companies tend to calculate 12-month future profit for new customers, and invest in new customers to optimize twelve-month total profit among first-time buyers.

The best companies calculate future value for EVERY CUSTOMER in the database, regardless of where the customer is in the customer lifecycle. This allows the best companies to maximize future profit from EVERY CUSTOMER in the database.

More on this topic tomorrow.

July 21, 2016

What Is The Right Customer Database For You?

The buzz out there is that customer databases are important.

I'm here to tell you that people are important, and most of us do not hire the right people to do a credible job of getting the most out of a customer database.

Here's what I hear, often.
  • Client #1:  We outsource our database to Barple (name made up to protect the innocent at database companies). Those people are hacks, they have no idea what they're doing. Who should we partner with?
  • Client #2:  We outsource our database to Barple. Those people are wonderful!! Best investment we ever made.
I've heard glowing praise of Barple and outright contempt for Barple ... and the same employee at Barple is mentioned in each case, by name!!! Let that one sink in for a moment.

Time for a story.

I worked with a company. The company hosted their database in-house. The company was highly dissatisfied with the fact that they were getting no credible insights to help grow/fix their business.

The company chose a leading customer database provider.

The company went through the requirements process. The company struggled mightily to survive the requirements process, simply because it did not have the in-house talent to articulate what credible requirements were. As a result, the IT team contributed too many requirements ... and the requirements ended up reading like the IT team was running marketing, and not the marketing department. What was asked for was what an IT team would ask for if they ran the marketing department.

Then the database provider built the database. A nine-month process took fifteen months, angering all sides (including the database provider, who never got the information they needed in a timely manner).

The database was finally available for use.

Executives waited for the insights that were predicted when the company spend $$$ with the vendor.

Existing staff said that the database was hard to use, and they should have said this. They were not trained to query a big database, they had no interest in querying a big database, and the big database was structured to support IT-style marketing requests.

No insights followed.

Existing staff stopped using the database and reverted back to vendor-centric reporting.

The Executive Team was angry.

The Marketing Team was angry with the Database Provider.

Databases have nothing to do with databases. Databases have everything to do with the people accessing the database. Are the people talented enough to access the information, translate the information into actionable findings, and then communicate the findings in a way that causes people to make better decisions?

Our problem is a talent/people problem, not a database problem.

You should see the project work I do ... I ask for data in a clear and specific manner, and what is delivered to me is, to be kind, problematic in 40% of the cases. It's as if nobody ever looks at the actual data.

The longer you talk about the merits of an in-house database or which vendor is best or any of the other stuff that sounds strategic but isn't, think about changing course. The reason you're probably not happy with your database is because you haven't hired the right talent to actually use the database.

Ok, your turn. Tell me why I am wrong. What am I missing?


I'm presenting information ... #datadriven stuff, no less. In other words, I have facts to back up what I'm asking business leaders to do.

As I tell the audience to take a break, one of the attendees walks over to me. Here's how our conversation goes.

Attendee: You realize that our industry is a relationship-based industry, right?

Kevin:  Tell me what you mean by that?

Attendee: You are asking me to change my marketing strategy, right?

Kevin: If you want to attract new customers, yes.

Attendee: Yes, I want to attract new customers. But here's the problem. If I do what you say, then I walk away from people I have relationships with.

Kevin: You mean your co-workers?

Attendee: No, I don't spent a lot of time with my co-workers. I'm talking about vendor partners. I've worked with these people for thirty years. If I do what you are telling me to do, I'll have to walk away from these people. These people are the reason I work in this industry. They are the people I care about.

Kevin: Are you saying you would rather have your company make less money so that you can allocate company resources to the vendors who you like spending time with?

Attendee: It doesn't sound so good when you say it that way, does it?

It's not common anymore for me to sit in a meeting with both marketing and merchandising professionals. Used to happen all the time. But something broke in the marketing/merchandising relationship in the past ten years ... and the beneficiary of this broken relationship is the marketing vendor community.

If you're a merchant, trump what those vendors do ... go buy your marketing friend a $49 prime rib meal or alder planked salmon meal or a salad or whatever ... and expense the meal, and see if you can rebuild your relationship with the marketing team. The marketing folks are getting a better deal from the vendor community than they're getting from the merchandising team.

Build a relationship.

I know, I know, you're a merchant and you want to know why the darn marketing folks won't make peace - why can't the marketing team take YOU out to dinner? I get it. They should take you out to dinner! But I've been in too many meetings where the merchandising team beats the living daylights out of the marketing team, to the point where the marketing team would do anything (i.e. spend time with vendors) than attend one more meeting with the merchandising/creative team.

Ok, fine. Both side are accountable. Both side should try to rebuild relationships. Have at it!

July 20, 2016

Ad To Sales Ratio

Ad-To-Sales Ratio is a thoroughly misunderstood metric, folks.

Here's a typical profit and loss statement for a business that is slogging through a tepid 2016.

Tell me what you observe?

This is a typical business ... 5% pre-tax profit, a whopper of an ad-to-sales ratio.

Let's assume this is a typical catalog brand ... where 75% of ad-dollars are paper-centric ad-dollars. Let's also assume that paper/printing/postage expenses are about equal. What happens?
  • Paper folks earn $7,500,000 cash from the operations of your business.
  • Printers earn $7,500,000 cash from the operations of your business.
  • The USPS earns $7,500,000 cash from the operations of your business.
  • You earn $5,000,000 from the operations of your business.
I know, I know, those folks have overhead too, so they'll say this is a biased analysis.

But the analysis is designed to point out why your vendor partners are so eager to grow their relationship with you. They get paid more from the operations of your business than you get paid.

And that's just not acceptable.

So when your vendor partner tells you to ignore various blog posts or says my modeling approach isn't aligned with industry "best practices" or tells you to mail more in response to an analysis where I show you can be more profitable by mailing less ... refer to the p&l above and ask yourself if your vendor partners generate more cash from the operations of your business than profit that you generate from your business?

July 19, 2016

Fair Compensation For Reactivation Products

We're inundated with reactivation opportunities ... search or email marketing or vendor overlays or social nonsense or mobile strategies ... somebody is always telling you what you have to do to be successful ... somebody who wants to be paid ... by you.

And too many of you listen.

Have you ever run a profit and loss statement on a vendor-hyped reactivation tactic? Have you ever looked at who gets paid?

Here's an example ... the vendor-hyped reactivation tactic actually works, so that's a blessing. But tell me what you see when you look at the profit and loss statement.

The RED number is how much the vendor gets paid for the tactic.

The GREEN number is how much you get paid for using the tactic.

Can you see why the vendor community loves this stuff? They get paid 6.6 times as much as you get paid for the tactic.

I know, I know, I can hear the vendor community howling as we speak ... "WE MADE YOU MORE PROFIT THAN YOU WOULD HAVE MADE WITHOUT OUR TACTIC". Yup, that's correct.

But come on!

Again ... the vendor is making 6.6 times as much cash as you are making ... your employees are working to make the vendor 6.6 times as much cash as the employees generate for your own brand.

And that's what happens when the tactic yields profit.

How about all the times when the tactic is not profitable ... which happens all the time!!? All those times your vendor tells you that you will make up the volume on lifetime value?

Any reactivation tactic should include a fair distribution of profit/cash. The vendor should not earn 6.6x as much as you earn. Ever.

July 18, 2016

The Reactivation Narrative

The reactivation narrative is sometimes filled with lizard logic.


Let's discuss some of the problems with the reactivation narrative.

Issue #1 = There Are Riches In Reactivated Customers!
Issue #2 = How Vendors Make Money.
  • For you, improved reactivation yields minor benefits.
Issue #3 = You're Already Speaking To Many Reactivation Candidates.
  • It isn't like your reactivation audience is ignoring you.
Issue #4 = Discounts / Promotions
Issue #5 = Where To Spend Your Time
I'm not saying you shouldn't work hard to reactivate lapsed buyers.



July 17, 2016

Items Within An Ecosystem

Here's another common problem I run across.

If you run a department store (Neiman Marcus, Amazon), you tend to have product diversity that minimizes issues. But if you have maybe a couple hundred styles/skus, there's a danger in not understanding how key winners drive your overall ecosystem.

When you have three hundred items and maybe just fifteen winners, the fifteen winners disproportionately influence the whole business. 

And if just a few of those winning items cause customers to "lock-in" on those items, you have downstream trouble.

What you want is a winning item that causes customers to cross-shop the rest of your assortment ... and a winning item that causes customers to come back repeatedly.

If a winning item causes the customer to only buy the winning item ... and the winning item causes the customer to shop less frequently, then the winning item is actually hurting the long-term health of your business ... it is starving your ecosystem of future success.

This is where a marketing / merchandising partnership is critical. You want to have a marketing team that can explain these dynamics to your merchandising team. Your marketing team needs to be able to craft queries that explain merchandise/customer interactions.

July 14, 2016


Here's what happens.
  • The merchandising team is given incentives to grow the business, especially among high-margin items, and they are given inventory turnover goals that preclude expansion of new items that may not sell well.
  • High-margin items, especially winning high-margin items, are given all of the primary real estate.
  • The number of winning items grows over time.
  • The number of contending items shrinks over time.
  • The number of new/contending items shrinks over time.
  • Within three years, the business is contracting, but the merchandising team is earning healthy bonuses.
  • Marketing gets yelled at ... the CMO is fired for "not targeting the right customers in an omnichannel world".
There's nothing wrong with paying folks for promoting high-margin items that turn often.

There is something wrong with not giving incentives for the development of items that will be successful in three years.

Try to avoid the over-emphasis of key items that yield bonus payouts. Offer balanced bonus structures that include the marketing team and merchandising team and creative team, and see what happens.

In other words, be a leader!

We're short on leaders.

Use your Merchandise Forensics framework to lead your organization down a good path.

July 13, 2016

Merchandise Differences Across Channels

Almost every Merchandise Forensics project illustrates channel differences that run opposite of what the "One Customer, One Brand, Many Channels" audience preaches.

We're told that in an Omnichannel world, we need to offer the same products at the same prices in every channel, coupled with a unifying story (#content, preferably #digital) that ties the whole thing together.

When you run a Merchandise Forensics project by channel, you immediately see fundamental differences in customer behavior ... differences that make it clear that each channel possesses customers with unique behavior.

Ever wonder why affiliate buyers have such low repurchase rates? Because they only purchase from the inexpensive spectrum of your merchandise assortment ... and they need a discount to purchase. Your paper-based strategy of full-price items is never going to work, ever, to this customer. Then you grumble that this customer has low lifetime value ... you caused this by having a robust affiliate marketing program!!

Email should be the voice of the brand, right? Instead, email is the voice of discounts and promotions (look at what companies do to non-cookied customers ... sign up for email and get 10% off ... who are you going to attract with this strategy?). Not surprisingly, only a subset of the customer base interact with email marketing, and their preferences are for inexpensive items tied to promotions. Analyze your email marketing metrics, and you'll think you are doing well. Analyze email performance via a Merchandise Forensics framework, and you'll be frightened by what you learn!!

Old-school catalogs tend to align with winning products ... keep going down that path, and the assortment gets stale and the customer audience ages ... this is a very common outcome.

Retail often aligns with newness.

From there, the results get messy. Each brand has a unique relationship with each channel (affiliates, search). Just be sure to analyze each channel.

On average, the biggest bang for the buck with new items comes in nearly-free digital channels like email. Instead of blasting out promotional messages, try praising new items at full price in email campaigns. You have 4-5 of these things a week, why not dedicate 1-2 of them to promoting new items instead of promoting promotions?

The key, of course, is to realize that each channel has modestly different customers with modestly different preferences.

You've been taught the exact opposite of what nearly ever Merchandise Forensics project illustrates. You've been taught that sameness wins. The data shows that unique merchandising approaches by channel is what wins.

July 12, 2016

Generating Enough New Winners

In most of my projects, companies do not do a good enough job of generating new items that become winning items.

Since writing the booklet, I've simplified my view on new items ... there are only three types of items.
  • Winners = Top 5% of Units or Top 5% of Demand.
  • Contenders = Next 40% of Items sorted on Demand Volume.
  • Others = All Other Items.
Using this framework ...
  • Winners are worth about 45% of annual demand.
  • Contenders are worth about 45% of annual demand.
  • Others generate about 10% of annual demand, but represent 55% of styles offered.
New items tend to go through a two-year development cycle.
  • The new item must become a Contender to have a chance in the future.
  • The Contender must become a Winner in year two.
Here's where the problem arises.

It is not hard, in these projects, to teach a company that there need to be 10 winning new items and 90 contending new items each year to fuel the future health of the business. If the company offers 400 new items per year, then 10 of 400 (2.5%) must become Winners, and 90 of 400 (22.5%) must become Contenders.

Let's say that a company wants to get 15 new Winners and 135 new Contending items, in order to fuel future growth. How might the company go about this?
  1. Do a better job of identifying Winners / Contenders.
  2. Have marketing promote potential Winners / Contenders more heavily.
  3. Increase total new items by 50% so that new Winners / Contenders grow by 50%.
Most companies should pursue (2) and (3), with (3) getting priority.

Most companies instead pursue (1) and (2), with (1) getting priority.

It is terribly hard to achieve (1) ... for if that line of reasoning were successful, most companies would already be successful at (1) and there wouldn't be a problem!

It is hard, HARD work to find new items that become winners. Really HARD work. I'd rather place my bets with a diversified portfolio of new items that yield more winning new items than to double down on finding more new / winning items off of the same quantity every year. At least that's what the project work suggests.

The Read and Reject audience, of course, thinks that you can just yell at merchants louder and get results. Doesn't work that way.

10% to 20%
