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Happy to hear it!
Usually behavior-based ladders are more effective, but the real "secret sauce" is using both together: combining behaviors with time data.
As a simple example: people who visited your sales page (behavior) in the last 2 days (time). You could give them a discount or free trial offer and have your frequency capping set pretty high just for those 2 days, then drop back down to a less aggressive frequency cap and switch to ads that reinforce some specific benefit.
I'm surprised to see there are some tricks here that I haven't used before. I'll probably eventually use both, but would you recommend starting with the behavior-based ladder or the time-based one?
Eventually will probably do some sort of proper blog/talk on this. But in the meantime, I've been working a lot with the search analytics part of the API recently. Useful numbers:
- 7 day running average of rank (bucketed, into 1 - 1.5, 1.5 to 2.5 etc. etc.)
- Tracking numbers past the memory of search console
- Finding where Google is juggling multiple pages for keywords
- Very quick breakdown of when and where traffic has changed (segment by device in API, then segment by page category in whatever database you're using). Then you can use this data to immediately drill down into keywords and categories.
This probably needs some additional explanation. The latest API version for Google Search Console is V3, which is actually not connected yet to the data that is available in the BETA for Google Search Console. As V3 was released in 2016 I believe, at least their latest documentation update seems to be very early 2017. Hopefully over the next months when the Google Search Console team starts adding/moving over more reports to the new version it will also release a new API version (V4). But I can give you some good ideas on what you can do with the API already these days:
- BULK Sitemap Upload: If you have multiple sitemaps that you want to add (let's say 50+) you likely don't want to deal with that through the interface. So the API is a great resource to do so without having to manually add them one by one.
- BULK Add Sites: In some cases you want to create new properties for some/all of your sub foldres. This will help you to get insights in a filtered property so you can compare your /category-1/ filter more easily and also check /category-2/ separate. But the same goes for the previous option, you don't want to do that manually when you have too many.
- Search Analytics: The Search Analytics service is probably my favorite module of the API as it will be able to retrieve all the data that you see in the interface and calculate a ton of additional data on top of that. For example, think about calculating your CTR curve. Checking detailed insights into what URL is getting more impressions based on what keywords or just download all your data for backup/Business Intelligence reporting it will be great for that too. (Example: http://martijnscheijbeler.com/2017/06/16/retrieving-search-analytics-data-google-search-console-api-bulk-keyword-research/)
Overall, there are some great use cases for the Google Search Console API, happy to answer more questions about it if you have any. I've worked a lot with it over the last two years.
How about extracting the data and re-working it to give it different shapes?
For example: extract the queries+landing pages w/ clicks and put them into a zoomable circle pack.
You can build the graph using app.rawgraphs.io which is a free tool which you can use to build cool data vizzes with no code
The result is spectacular, and it won't take you more than a few minutes to build it
@gaurav_sharma Amazing!! Keep a look out in a week's time, my friend! :o)
Well, use it 🤷🏻♂️? It gives you more data than the search console UI.
I highly recommend creating audiences in Analytics, Claire. You get so many more options which gives you the ability to get really creative.
Nice post @Josh! Please tell which option is much better to create RLSA campaign ... through Google Analytics or Adwords.
Hey, Karola! Thanks for your question, it's a good one!
There isn't really a set minimum budget that defines the point from which SKAGs become worthwhile. The more important things to consider are the number of keywords in your campaign(s) and the search volume of the keywords. If the keyword is searched a lot (for example when compared to other keywords in your account) then you could highly benefit from creating a SKAG for it.
As mentioned in the article, that would result in better ad relevance, higher quality score, lower CPC and all that good stuff.
And as I mentioned in the article, you don't necessarily need to create SKAGs for all your keywords. For example if you have 50 keywords in your campaign and 4 of them are clearly top performing and most relevant keywords, you could start off by creating SKAGs only for the top 4 keywords and leave other keywords in "non-SKAGs".
Hope this helps! Feel free to shoot any other questions my way. :)
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