How to Name Pinterest Boards and Gather Organic Traffic
Be strategic and learn how to name Pinterest boards effectively to increase your views.
Hello and welcome to this tutorial.
We’ll be explaining how to name your boards on Pinterest to garner organic traffic.
The idea is that you name your board with exact Pinterest keyword search term that has a high, high monthly volume of searches.
And then when people type in that exact search term, it will show up in the autocomplete search on Pinterest.
So, if you select a really good keyword search term that nobody else has named that board with, you will automatically be one of the first ranking profiles on the autocomplete, which will help you gather organic traffic through Pinterest.
We’re going to be looking at how to name your boards for, an example, print on demand service that sells t-shirts to predominantly men, or people who like dogs.
1. Go to the Ads Section in Pinterest
So, what we do is go into Pinterest, and we will go into the Ads section.
What you have to do is you start off going to Pinterest, going to Ads at the top.
2. Go to Overview
Then, you go to Overview.
Click on that.
3. Go to Traffic Campaigns
Wait for it to load, go to Traffic Campaigns, View All.
4. Go to Create Campaign
The next step is to go to create campaign.
And then finally we go to Continue.
5. Go to Add-More-Details Page, Then Scroll Down to Extend-Your-Reach Box Below
Once you’re on this page, where it says Add More Details, you scroll down to this wonderful tool here which gives you monthly searches for specific keywords.
So, we’re going to start off with t-shirts.
T-shirts for dogs.
And we can see that if we scroll down we will find dog t-shirt has 5 million, which is a pretty good number of searches per month that’s the maximum that it will show on here.
6. Go Back to the Pinterest Page
So, what we’re going to do is we will then go back to the main page of Pinterest.
And we will type into the search bar, dog t-shirt.
We’re looking here for is the number of people that show up in the People section, and the number of boards that show up that have these key terms, in their name.
As you can see here, there are three and three for both.
So, that means it would be harder to outrank these if we were to create a board name with this.
7. Go to Your Spreadsheet and Enter All the Data
What we will do is to take this information and put it into a spreadsheet.
So, what we had here was dog t-shirt.
It has three people in autocomplete and it has three boards in autocomplete.
It had a search volume of 5 million plus, but it had a fully saturated number of people in autocomplete.
So we’re only going to give that a one-star rating because it would be hard to rank for.
But if we were to go back and change these term to dog t-shirts, what we can see is that there are only 2 boards named dog t-shirts. Which means if we named our board dog t-shirts, we will automatically appear in its autocomplete as the third search term.
So, we’ll take that information and go back to the spreadsheet and dog t-shirts.
We can see those three people in the autocomplete but only two from the boards.
And there are still 5 million plus search volume.
So, we give that a four-star rating.
Here’s Another Example
We’ll go and try this with a different term.
So, go back to the keyword searching tool, and we’ll start with dog shirt.
And you can look through here for some relevant keywords that we could target for our brand.
So, let’s try dog shirts for dogs, which has 5 million views a month.
We’ll type that in back into the search bar and we can see that there are three people with these keyword term.
But there are no boards, which makes it a very good search topic to put in.
Dog shirts for dogs.
See the autocomplete.
It has for people as three and for boards as zero.
And it has a 5 million search term topic.
And then, the star rating which must be three because it is not directly relevant to our products.
Now, the idea is that to go through and do this for about 30 different terms.
And you then find the best of those.
And that is a method for finding relevant interest board names.
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