Summary:

In the Sensei’s Corner this week, we welcome Amy Hebdon from Paid Search Magic.

This week, we discuss the following articles:

  • Don’t Blame Targeting
  • The Simple Reason Why Your B2B Lead Gen Conversion Rates Are Completely                           

Wrong

  • Google Ads is Emailing Accounts That Haven’t Switched to Automated Bidding
  • Prepare to say goodbye to average position in Google Ads on September 30
  • ARF: The Price Consumers Put On Their Data

Amy is the co-founder of Paid Search Magic, a Seattle based SEM powerhouse. She is a talented visual artist who’s interested in behavioral economics and is drawn to statistics and puzzles of logic.

Her PPC Magical Power includes creating paid search account structures that drastically improve results. She is also co-hosting her own podcast with husband James, called Paid Search Magic. You can find Amy on LinkedIn and on the Paid Search Magic  website. 

All will be included in our show notes.

LISTEN, LIKE, SUBSCRIBE, COMMENT, SHARE!

Shownote:

Article #1: Don’t Blame Targeting by  Ted McConnell in MediaPost

If I had to recap this article in two sentences it will be as follows:

Targeting is cake, not frosting. 

Blaming “targeting” for a poor targeting choice is a little like blaming “driving” for a car wreck. 

McConnell wants to really focused on audience definition, audience delivery, and time if we really have to blame something.

Let me review the 3 before we get to ask your POV,

Audience definition is the well-established research about the brand

Audience delivery is usually not measured except as gross reach, which Reach is a quantifiable part without qualifiable attribute. 

Time understanding the optimal “when” given a long purchase cycle etc

The Sensei’s note:

In my professional opinion, Targeting is the mechanics of relevant and intelligent reach which when completed right can lead to substantial results. It includes more than the different level of Audience segmentation (1st, 3rd party data, affinities, lifestyles, psychographics, etc.) geo, time, channel, etc.
Here’s a couple of my recommendations if you are listening today and are not confident about the way your audience targeting is implemented. Follow these steps:

  1. Go back and QA your set up: Make sure the audience segments selected are from trusted data partners. You can always reach out to each directly and ask them to explain how the data is captured and segmented. 
  2. Don’t be afraid to remove targeting that is not working: 
    1. If you see a higher CTR in the overnight hours coming from Internet Explorer or an outdated version of browsers, block those hours and monitor closely the following days. 
    2. You can always partner with a DoubleVerify or a Moat or a Peer39 to help filter the fraudulent concern right away, and them move towards optimizing the actual audience segments. 

Article #2: The Simple Reason Why Your B2B Lead Gen Conversion Rates Are Completely Wrong By Oli Gardner on Unbounce.com 

According to Oli Gardner, Co-founder of Unbounce, there are 3 levels of Marketing IQ, which each have their own version of how lead gen is measured. 

He talked about how implementing High IQ marketing strategy with one of his campaign where he optimized micro metrics like Spam emails, fake emails, branded emails.  

Let’s go over the 3 micro metrics and how he optimize for success. 

Spam emails he implemented a Captcha or honeypot to prevent bots, Fake emails which are entered by humans, he added a simple statement: “Enter the email address you’d like us to send the course link to” and the fake emails dropped from 7.9% – 5% a 35% improvement. 

The final micro metric, the branded email which are business emails and the ultimate goal, he changed the label from “enter email address” to enter business email”, the number of branded emails went up by 60%.

Article #3: Google Ads is Emailing Accounts That Haven’t Switched to Automated Bidding By Matt Southern on Search engine journal. Com

Amy you posted about this on LinkedIn sharing your Point of View, why don’t you go ahead and take the lead here? Can you let our listeners know what’s happening? 

Amy’s Post on Linkedin can be found here

Article #4: Prepare to say goodbye to average position in Google Ads on September 30 By Ginny Marvin on search engine land. Com

Google is getting rid of the average position metrics, Google Ads is strongly encouraging to start using the transitioned metrics introduced last year and define as follow for to refresh anyone’s memory:

  • Impr. (Absolute Top) %: This is what most people think of as position one. The metric shows the percent of your ad impressions that are shown as the very first ad above the organic search results.
  • Impr. (Top) %: The percent of your ad impressions that are shown anywhere above the organic search results.
  • Search (Absolute Top) Impression Share(IS): The impressions you’ve received in the absolute top location above the organic results divided by the estimated number of impressions you were eligible to receive in the top location.
  • Search (Top) IS: The impressions you’ve received in the top locations above the organic search results compared to the estimated number of impressions you were eligible to receive in the top location.

Other Ginny Marvin ressources on this topic: 

Article #5: ARF: The Price Consumers Put On Their Data by Laurie Sullivan

 Advertising Research Foundation (ARF).

It looks like consumers are less likely to share personal information such as first and last name, home address, spouse names. Etc.  Most of the surveyed adults priced their personal information from $10- $20. 

Q: how much would you sell your data for? 

What really surprised me is that Sullivan pointed out how most of consumers do not see the value in sharing data to improve personalization of advertising message. Some of which may be created with the misconception of how the data is being tracked and with terms like first-party data, data storage, etc. 

Send us your thoughts, feedback, comments HERE