Tag : big-data

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215: 3 Lists Every Auctioneer Wants But Nobody Can Buy

With the rise of big data, entrepreneurs have grown to assume that just about any kind of data is available to purchase. In many cases, that valuable demographic and purchase history is more robust than most of us would ever need. The problem is that it exists in proprietary databases. Those black boxes at best are available for blindfolded lease and at worst compete against us.

Even before Facebook’s ubiquity and Amazon’s dominance, though, auctioneers asked me for the same prospect lists they still assume I can procure. When I tell you that these lists get requested often, I mean every month—sometimes weekly. I still encounter surprise and maybe even disappointment when I can’t deliver them. To save us both from an awkward conversation later, I’ll just explain them here for you.

Real Estate Investors

As of July 19, 2019, we haven’t been able use Facebook’s real estate investor interests to target real estate ads. (I assume that’s to comply with HUD anti-discrimination regulations.) Even before that, we couldn’t target actual investors—only people whose Facebook habits showed an interest in investing. As of right now, we can’t purchase a list of individual people who invest in real estate. We can target companies whose standard industrial classification (SIC) falls under real estate development, management, or brokerage. We can ask for highest-known executives in those firms and phone numbers and legal/opt-in emails where available. In certain databases, we can pull people who own homes but don’t live in them. A list broker can sort that by net worth and/or annual household income. It’s a long shot, but that’s currently our best option.

Land (or Any Asset Category) Buyers

There isn’t a commercial source for those records. Landowners, yes. Land buyers, no. Independent auction companies should have a list of past bidders and buyers from auctions—hopefully sortable by asset category. Those lists should be queryable in order to pull only past buyers and/or bidders. Until you have critical mass, you can use that list only for direct mail. Once you do get several hundred buyers and/or bidders, you can use Facebook’s lookalike audience tool to find similar prospects. Until then, one option would be to partner with a joint venture company who does have a list large enough for lookalike audience potential. If you drive the Facebook traffic to your website, you can then start using your Facebook pixel data to create a prospect base. Using information sign-up forms and bidder registrations on those joint-venture auctions, those who do respond can become seeds to start or accelerate your own list. 

People Who Want [fill in the blank]

This is the one that makes me audibly laugh, when I open the email. Men have joked my entire life that they never know what the women in their life want. If that’s true, that takes out 50% of the people whose wants we can capture and query. Even if it’s not true, we would need a Minority Report-style system to mine this desire data. Do we really want companies to know our private thoughts? We can hit this goal obliquely through a list of past bidders or buyers on similar items, assuming their need or want wasn’t satiated since that last auction. We can purchase lists of some interests and purchase history, and we can target non-real estate ads to even more interests on Facebook directly. But the best we can do is get adjacent to wants and let artificial intelligence engines do their magic. There’s no list for people who want a mower or a Coca Cola sign or 20 acres.

That said, not having these lists and even not being able to acquire these lists doesn’t mean our advertising has to be ineffective or inefficient. It just means we need to do more homework, more experimenting, more tracking, more data analysis. Yes, that’s more work. Yes, that’s a completely different skill set than a silky auction chant or a well-executed sales pitch. Yes, it’s not the way your dad did it.

Over the next two decades, conglomerates and aggregate sites are going to put hundreds of bid callers and even auction marketers out of business. They’re going to pay people to do this data curation work. Instead of trying to buy data, they’re going to mine their own. Those of us who follow their example will most likely be the ones in 2035 who are still advertising auctions at all. 

Because I don’t manage websites, host online bidding, or run auction software for my clients, I will be dependent on auction professionals like you to procure, store, and query this data. Thankfully, most current auction software and platforms make this doable, if not easy. That gives me hope, and I’m glad to be in your good hands.

Stock images purchased from iStockPhoto.com

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Reach the Bidders You Didn’t Know You Were Missing

There’s a sneaking suspicion in many auction marketers—and definitely in their sellers. We wonder if there was a stone unturned, a motivated bidder that wasn’t reached by our advertising.

Did we cast a big enough or tight enough net?

Missing Bidders PosterWhat people weren’t in our mailing list broker’s database?
Who didn’t read the newspaper during the weeks prior to the auction?
Who didn’t drive past our sign out on the highway?
Did any emails go unopened or straight to junk folders?
Did we choose the right demographic selectors on Facebook?

The auction community prides itself in bringing the whole market to bear on an asset at once. We tell potential sellers that we’ll deliver true market value. We rightly trumpet our concentrated advertising campaigns.

Still, there’s that whisper, that gnawing question—especially when the auction price is low and even more so when it was an absolute auction. Did we find everybody?

One of the biggest developments in advertising over the past couple of years has been a partial solution to that mystery. This development has made mailing lists more powerful, web traffic more valuable, and Facebook just short of necessary for finding buyers.

Big Data for Small Businesses

In addition to the vast amount of data users give Facebook about themselves, Facebook also buys data from outside sources and matches that information to its user base. Bank and mortgage lender records. Vehicle ownership. Purchase histories. Web site visits. As a result, this data gets woven into an astounding web of connected dots. Using advanced algorithms, Facebook can then match people with common denominators.

So, after you find the people you think are likely buyers, Facebook can find people who look just like your intended audience. With Facebook’s Lookalike Audience tool, both purchased lists and in-house lists can be matched with people just like them for use in Facebook ads.

With the free Facebook Pixel code installed on your website, you can also now direct Facebook ads to people who recently visited your auction’s page or the page of a similar auction on your site. Then, with the Lookalike Audience tool, you can advertise to people who look just like the people who came to your website.

Over the course of your advertising campaign, as more and more people view your auction’s page on your site, Facebook can learn more and more about the people coming to your site and hone the audience of your Facebook ads.

Facebook Loop

So, whether you start with just a Facebook list of demographics [B] or if you upload lists to Facebook [A], you can create a set of ads that learn and improve their effectiveness over time. You can access an automated database that keeps getting more robust. Your advertising can reach people in the cracks between the groups of people you can find yourself.

An Impressive But Imperfect Solution

Is this Facebook solution circle a silver bullet? No. This is just one medium that reaches less than 80% of the population. Does this mean you’ll definitely find more and better bidders? No, but it’s a superlative start. It’s a more robust solution than what you’ve got now.

Could this concept confront our ignorance? Absolutely.

Recently, I’ve noticed that several of my clients’ Lookalike Audience ads have significantly outperformed not only their uploaded lists but also the Facebook audiences built with the demographic selectors we chose for prospective buyers. In other words, Facebook knew who would visit these websites better than I or my clients did. For the decades of auction marketing experience between all of us, that’s humbling.

It’s also exciting. Now, our lists of past bidders and email subscribers are more valuable. Now, our web traffic can be more meaningful. Now, purchased lists don’t have to be exhaustive. We just need to find a critical mass to get the ball rolling.

Now, we can find the people we weren’t finding—even with our best laid plans.

Illustration built by request from Fiverr.com
Stock images purchased from iStockPhoto.com

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