Use the new topics filter to easily go through big keyword lists.

Why use it?
- to discover the main topics around your seed keyword
- to hide/analyze keyword ideas around a specific topic, in bulk.

Check the video about it.
 

You've hidden keywords?
Find them in the new "Hidden" tab.

Want to definitely delete keywords from your report?
In the "Hidden" tab, bulk select them and click on "delete".

Free users (ie users who've never purchased credits or been on a subscription) will have a reports history of maximum 2 months.

If you've purchased once, reports with at least 1 analyzed keyword, will be kept indefinitely.

This was announced through the newsletter 10 days ago and starts taking effect this Tuesday 15th November.

Keywords Excel :

TM (10): corresponds to the sum of Title "Exact Match" and "Near Match" in the top 10 search results.
The data helps you see how many pages target the query.

Example of "Exact Match" and "Near Match" with the query:
tripadvisor brussels restaurants

Webpage Title 1 :
"THE 10 BEST Dinner Restaurants in Brussels - Tripadvisor" 
= Exact Match (ie all the words in the query are contained in the Title).

Webpage Title 2 :
"THE 10 BEST Cheap Eats in Brussels - Tripadvisor" 
= Near Match as "restaurants" is missing.

A TM (10) at 0 corresponds to the old "U" value (U for underserved).

Columns with the Exact Match and Near Match data have also been added.

💡 Want to focus on keywords that have few pages targeting the query?
Filter on : TM (10) < 4.

Intent: The intent is based on words contained in the keyword

Informational: how, why, where, can, ...
Commercial: best, buy, ...

💡 Helps you filter through the same intent keywords faster.

Frequent Word: word contained in the keyword that appears frequently in the report.
💡 Helps you scan through related keywords faster.

UGC / Forums in the Top 3:

💡 Is there a forum in the top 3 positions of the SERP ?
It's an excellent signal for a low-competition keyword.

Image and Video block positions:

Clusters Excel :

The Clusters Excel contains 2 tabs:
Keywords in a Cluster and Keywords not in a Cluster.

The format has also changed.
Each keyword contained in a cluster is on a separate row.

Danish is now available in the KWFinder.