Insights on Performance Marketing and Tech

Analyzing close variant matches in Google Ads with Python

We have lost exact match keyword and “not significant” queries with the updates in Google Ads. However, we can still measure the effects with a smart Python solution. Here’s how. The exact match keyword…

Python in PPC / SEO

8 January 2021
10:13 pm

What is a reasonable CTR in Google Display for your business?

Having a “too good to be true” CTR most definitely means that you’re wasting budget on spam. Although there are no absolute values, you can determine a baseline CTR for quality placements. For those…

Google Display

17 December 2020
7:13 am

Should you add negative keywords on campaign/ad group level or use shared sets?

Although the answer to this question differs according to the task at hand, using shared sets on MCC (My Client Center) level has huge benefits when maintaining the negative keywords. Excluding irrelevant search terms…

Keyword Negativation in Google Ads

19 November 2020
1:45 pm

Why you should use negative keywords also when Google tells you that Smart Bidding is doing the job

Do you think Google’s algorithm can outsmart the account managers? According to marketing professionals, it looks like the machine still has a long way to go in making better choices. We recently conducted a…

Keyword Negativation in Google Ads

19 November 2020
9:58 am

How to identify negative keywords for Google Shopping query sculpting in a scalable way

While specific queries drive better conversion rates, getting negative keywords for Google Shopping query sculpting can be challenging. These approaches can help you save time and budget while scaling. It’s very common in advanced…

Data Science in Digital Marketing, Keyword Negativation in Google Ads

19 November 2020
9:49 am

How to deal with limits on negative keywords in Google Ads

While close variant matches increase the number of negative keywords heavily, there are some smart solutions that can help you keep it below the limits and save a larger portion of your ad spending….

Keyword Negativation in Google Ads

16 November 2020
1:57 pm

Hands on Entity Recognition in Google Ads: Build a lookup database

Doing all the entity management manually is simply too much effort. There are several ways you can regularly add new entities to your database in considerably shorter time. As we described in a previous…

Data Science in Digital Marketing, Keyword Tagging

15 June 2020
8:21 am

How to find good product keywords in Google Ads

Users search for products in many ways. It may be challenging to find the correct keywords. Here are some smart approaches for a better Google Ads performance. In this post, we want to share…

Keyword Scaling

3 June 2020
11:52 am

Use Google Play Store data to score mobile app placements in Google Ads

Identifying the quality of a placement is more difficult on mobile apps. Insufficient sample size can be quite a challenge. Here is a smart solution to tackle this problem. Identifying good or bad placements…

Data Science in Digital Marketing

27 May 2020
9:11 am

Clustering Google Display Placements Using Tf-Idf + KMeans

You can group display placements together based on their website content and judge elements even with low sample sizes. This will help you detect the good and bad performing ones and make adjustments. Grouping…

Data Science in Digital Marketing, Google Display

18 May 2020
7:41 pm

Analyzing close variant matches in Google Ads with Python

What is a reasonable CTR in Google Display for your business?

Should you add negative keywords on campaign/ad group level or use shared sets?

Why you should use negative keywords also when Google tells you that Smart Bidding is doing the job

How to identify negative keywords for Google Shopping query sculpting in a scalable way

How to deal with limits on negative keywords in Google Ads

Hands on Entity Recognition in Google Ads: Build a lookup database

How to find good product keywords in Google Ads

Use Google Play Store data to score mobile app placements in Google Ads

Clustering Google Display Placements Using Tf-Idf + KMeans

All Insights