As a general rule, the marketer with the most actionable data wins. There are many types of data but the most useful kind — the GlenGarry data — is first-party data. This article will show you how you can use the data you already have about your best (and worst) customers to improve your online marketing ROI.
First-Party, Second-Party, Third-Party
Before I dive into use cases, let’s quickly define what first-party data is. Here’s a basic primer on the three types of data you likely have access to:
- First-Party: Information that you have collected about your customers. This includes email addresses, web or app behavior (collected via a pixel or SDK), CRM files, and database purchase information.
- Second-Party: Information that a partner has collected and shared with you. For example, click, cost, impression, and query data from AdWords or Yahoo.
- Third-Party: Information that you buy or rent from a company to make marketing decisions. This is anonymized data that can help you infer purchase intent, geography, demographics, and the like.
You’re Already Using First-Party Data & You Don’t Know It!
If you are currently running a retargeting/remarketing campaign, congratulations — you are using first-party data! Data that is gleaned from user behavior on your website or app and then used to make retargeting bids/ads/landing pages is a common use of first-party data.
This is, however, a light use case, since your access to this information is really held by the ad network that has given you the retargeting pixel (examples would include Google, AdRoll, and Retargeter).
In other words, you can only use data after you’ve installed a pixel and the pixel has started collecting information. If you’ve got decades of weblogs but only installed your pixel yesterday, you are out of luck. Note that Facebook’s FBX product (which is just retargeting on Facebook) falls into this category as well.
RLSA: First-Party Data & SEM
Retargeting lists for search ads (RLSA) is an infrequently used but powerful first-party tool available to all AdWords advertisers. With RLSA, you can use retargeting pools to modify your SEM bids and ads. For example, with RLSA implemented you can:
- Exclude users who have already converted on your site.
- Increase search bids for visitors who have shown high purchase intent based on their behavior on your site.
- Change ad text and landing pages based on user behavior on your site.
Custom & Tailored Audiences: Using Your Email Database To Drive Social Marketing
Facebook and Twitter have first-party data ad products that enable you to merge your company’s email list with Facebook and Twitter user profile. In other words, if someone has subscribed to your email list and used the same email list on Facebook, you can start to market to this user on Facebook (known as Custom Audiences). On Twitter, this is known as Tailored Audiences. Example use cases:
- Turn your loyal customers into fans or followers on social media.
- Advertiser to users who haven’t recently opened your email newsletter.
- Coordinate social media campaigns to coincide with when you send out your email newsletter.
Note that Facebook can also match off phone numbers and other sources. On top of that, Facebook also offers “lookalike” audiences that are based on your customer database. A lookalike is a group of people who have characteristics similar to your customers. This can be a great way to find new customers.
Using First-Party Data With Display Ads
You can use email addresses or postal addresses to run display banner campaigns as well. Companies like LiveRamp and ReTargeter allow you to use this data to connect to programmatic ad exchanges like the DoubleClick Ad Exchange and reach your customers across millions of publishers.
On the Google Display Network, you can also use lookalike audiences to expand your customer base based on existing customers. Of course, Google couldn’t call this a lookalike, because they need their own name for everything (you know, like remarketing), so they call it “similar audiences.” On programmatic exchanges, lookalike modeling is very common.
And Let’s Not Forget About Landing Pages
Last but not least, you can use first-party data to improve your landing pages. Imagine, for example, that you buy a keyword on AdWords and a user clicks through to your site. Pixel information you’ve collected suggests that this user loves expensive items so – voila! – you instantly change the landing page to show your most luxurious products available.
Trying To Keep Track Of All Of This? Me Too!
In an attempt to decipher all of these different options, I create a basic Excel chart — initially for me — that will hopefully be valuable for you, too.
To be honest, this gets confusing really fast and I’m not 100% certain I captured all the information properly, so please comment with corrections and I will update this chart as needed!
Opinions expressed in the article are those of the guest author and not necessarily Search Engine Land.