Data Science in Digital Marketing Archives - Page 4 of 4

N-gram analysis in PPC

N-gram analysis of your PPC data will give you insights to take actions that will save you tons of money! Become a PPC Super Hero by using data science Approaches for PPC problems. N-gram…

Data Science in Digital Marketing, Google BigQuery, Python in PPC / SEO

15 November 2021
7:28 pm

Export to BigQuery asap if you set up Google Analytics 4

Google’s BigQuery is a perfect fit as Marketing Analytics Data Warehouse (DWH). Even if you are not the tech affine marketing guy and you don’t have the power in your team to deal with…

Data Science in Digital Marketing, Google Analytics, Google BigQuery

17 March 2021
11:10 am

BigQuery ML with Scheduled Queries and Partitioned Tables

Google’s BigQuery is a great fit as Marketing Analytics Data Warehouse. Google Analytics 360 uses BigQuery. If you are using free Google Analytics and Google Ads, you can also import their data into BigQuery…

Data Science in Digital Marketing, Google Analytics, Google BigQuery, Marketing Analytics

1 March 2021
1:10 pm

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

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

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

How to get unsampled reporting data in Google Analytics

Data sampling in Google Analytics may sometimes lead to inaccurate reports, impacting the quality of your insights. We’ll show you two approaches that will fix sampled data in your Google Analytics reports, even when…

Data Science in Digital Marketing

13 December 2019
9:24 am