Incentivizing incites fraud

There are few address acquisition processes that make me cringe as badly as incentivized point of sale collection. Companies have tried many different ways to incentivize address collection at the point of sale. Some offer the benefit to the shopper, like offering discounts if they supply an email address. Some offer the benefits to the employee. Some offer punishments to the employee if they don’t collect addresses from a certain percentage of customers.
All of these types of incentive programs are problematic for email collection.
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On the shopper side, if they want mail from a retailer, they’ll give an address simply because they want that mail.  In fact, asking for an address without offering any incentive is way more likely to get their real address. If they don’t want mail but there is a financial incentive, they’re likely to give a made up address. Sometimes it will be deliverable, but belong to another person. Sometimes it will be undeliverable. And sometimes it will be a spamtrap. One of my delivery colleagues occasionally shares addresses she’s found in customer lists over on her FB page. It’s mostly fun stuff like “dont@wantyourmail.com” and “notonyour@life.com” and many addresses consisting of NSFW type words.
On the employee side there can also be abuses. Retailers have tried to tie employee evaluations, raises and promotions to the number of email addresses collected. Other retailers will actively demote or fire employees who don’t collect a certain number of addresses. In either case, the progression is the same. Employees know that most customers don’t want the mail, and they feel bad asking. But they’re expected to ask, so they do. But they don’t push, so they don’t get enough addresses. Eventually, to protect their jobs, they start putting in addresses they make up.
Either way, incentivizing point of sale collection of information leads to fraud. In a case I read about in the NY Times, it can lead to fraud much more serious than a little spam. In fact, Wells Fargo employees committed bank fraud because of the incentives related to selling additional banking products at the teller.

In all, Wells Fargo employees opened roughly 1.5 million bank accounts and applied for 565,000 credit cards that may not have been authorized by their customers, the regulators said in a news conference.

The bank has 40 million retail customers.

Regulators said the bank’s employees — many of whom have since been fired — had been motivated to open the unauthorized accounts by compensation policies that rewarded them for drumming up new business

Many current and former Wells employees told regulators they had felt extreme pressure to expand the number of new accounts at the bank (emphasis added)

If employees will commit bank fraud to meet quotas and incentives, they’re not even going to think twice about providing fake email addresses. Incentives programs can encourage bad behavior and fraud. Any incentive program needs to include some fraud protection and data quality check. If you want to monetize that data, it must be valid.

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July 2016: The Month in Email

We got to slow down — and even take a brief vacation — in July, but we still managed to do a bit of blogging here and there, which I’ll recap below in case you missed anything.
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At the beginning of the month, I wrote about email address harvesting from LinkedIn. As you might imagine, I’m not a fan. A permissioned relationship on social media does not equate to permission to email. Check out the post for more on mailing social media contacts.
Even people who are collecting addresses responsibly can face challenges. One of the most important challenges to address is paying attention to your existing subscription processes, testing them regularly, evaluating effectiveness and optimizing as needed.
Our most commented-upon post this month was a pointer to a smart writeup about Hillary Clinton’s email server issues. Commenters were pretty evenly split between those who agreed that they see this kind of workaround frequently, and those who felt like regulatory processes do a good job managing against this kind of “shadow IT” behavior. I wrote a followup post on why we see this kind of workaround frequently in email environments, even in regulated industries, and some trends we’re seeing as things improve.
In other election-related email news, we saw the challenges of campaign email being flagged as spam. As I pointed out, this happens to all campaigns, and is nothing unique to the Trump campaign. Still, there are important lessons for marketers here, too, in terms of list management, email content, frequency, and engagement — all of which are inextricably linked to deliverability.
Speaking of spam and engagement, Steve took a look at some clickthrough tracking revealed through a recent spam message I received — and why legitimate marketers should avoid using these sorts of URL referrers.
On the topic of authentication, I wrote a quick post about how seeing ?all in the SPF record tells me one thing: the person managing the record isn’t doing things properly. Need a refresher on authentication? Our most-read blog post of all time can help you out.
And as always, send me your interesting questions and I’ll be happy to consider them as I resume my Ask Laura column in August.

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Thoughts on Data Hygiene

One of the big deliverability vs. marketing arguments has to do with data hygiene and dropping inactive users. Marketers hate that deliverability people tell them to let subscribers go after a long time of no activity from the subscriber.

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Growing your list carefully

Karl Murray wrote a great set of recommendations for growing an email marketing list. I really can’t think of anything I would have said differently. Touching customers and getting contact information from them is great, but there are situations where this gets bad addresses. Too many bad addresses can impact delivery.
So how do you grow your list without falling into a delivery trap? The specific recommendations, as always, depend on your specific situation. But knowing how bad addresses get onto your list will allow you to implement mitigation strategies that actually work.

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