“This is cool, really cool, but I feel like maybe you need an intervention” – Friend’s reaction when I showed them this.
This is a way of getting highly granular brand strength comparisons out of Google Ads.
Using this approach, you can compare the brand strength of your company and your competitors at city and product level. I’ll go into this in more detail below, but we can use this data to come to conclusions like;
- Users could be struggling with the UX of zara.com – we should run UX surveys
- Zara should run “maternity” adverts and events in Vancouver to capitalise on high interest
- J.Crew should develop “plus size” category pages, sponsor CurvyCon and run more “plus size” Facebook ads.
Brand performance can have a big impact on our success as marketers. I’ve written about why SEOs in particular should care about brand here on Search Engine Land. But I think it’s wise for us all to pay attention to this topic.Continue reading “How to get free brand interest data from Google Trends”
I don’t think anyone needs someone else to explain that things are a bit weird right now. We can’t visit family, we can’t go to sports clubs, and there are colleagues we might not have contact with at the moment because of furlough.
I’ve been worried I might lose touch with some people or, more importantly, that some people could find themselves going days without really speaking to colleagues or friends. Things like House Party or even group hangouts are great for spending time as a group but there are problems.
Group chats can feel very impersonal, they can be dominated by the most talkative, and they don’t really leave much space for meaningful for small, meaningful, chats.
The problem is – it’s easy to forget to spend time with people so I made something to help using Google Sheets and Google App Scripts.Continue reading “Using Google Sheets and App Scripts to schedule staying-in-touch emails”
This is just a blog post to share resources from my talk about using Jupyter instead of Excel.
Jupyter is free to download, it’s powered by Python, and it’s what Excel wanted to be when it grew up. It;
- Gives us the visualisations we’re used to in Excel
- Lets us use simpler instructions
- Answers questions Excel won’t touch
- Lets us repeat work easily.
I’m giving this talk as a Consultant at Distilled and Brainlabs (who have recently merged!)
Call to action
Have you tried Dime cake? It’s so good – check it out. This has nothing to do with the post.
What do you thinK it means?
This post is about k-means clustering. I’ll describe what it isn’t, what it is, and I’ll give some examples of the process. Don’t worry – it’s actually pretty simple.
Broadly – K-means clustering is just the following steps;
- Choose a certain number of groups (we refer to this number as K, hence K-means)
- Randomly group our data into that number of groups
- Measure how badly we did (as in – how different the different points in our groups are)
- Repeat hundreds or millions of times
- Choose the attempt that was the least bad.
If that’s all you really needed – crack on to that Dime cake, otherwise – I’ll go into more detail below.Continue reading “What is K-means clustering? (Plus free Python code)”
Start with a call to action
They told me to start with the most important thing someone should do after reading this post so, like, buy your mum some flowers. Maybe potted ones rather than cut ones. Turns out flowers and mums are both more important than marketing and Twitter bots.
Some examples of Twitter bots include productivity tools, for instance the Thread Reader App and Read Later Bot make it easier to manage Twitter content.
They can also be a big part of political marketing (or you might say propoganda). It’s a common understanding that many of the accounts online advocating or criticising political points of view are actually automated mouthpieces. Whether these accounts are real people or not – we now understand that it’s easy to create an army to spread your message.Continue reading “Creating a Twitter Bot using Google Cloud Functions”
This post explains @monitorname – a Twitter bot which tracks accounts and notifies you when they change their profile name or display picture.Continue reading “Name change monitor”
This post is a duplicate of my post on distilled.net and it is canonicalised to that address.
In my experience, the most common reasons a website doesn’t rank for a specific keyword are:
- The site isn’t actually relevant
- There isn’t any single page which actually uses that keyword
- There are too many pages which use that keyword.