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Readers see right through this tactic – they either know their location like the back of their hand or have a set of expectations regarding the location. Delve further into your experience to find angles specific to Seattle by creating a keyword map, blueprint, or tree.
Should you still write articles for a more general audience (e.g., blocked drain articles for everyone)? Good point about authors repeating a keyword phrase, and making the article sound totally ridiculous, instead of being creative with the targeted keyword term. There is a nifty new keyword tool developed by Juice Analytics which takes keyword data pulled from your Google Analytics account and presents the data in a visual manner, allowing you to see trends or patterns visually. The following screen shot is taken from the JuiceKit keyword tree visualization tool using data from the True Confections Custom Wedding & Special Event Cakes google analytics account for the past 30 days. In the example, while wedding was the most popular search term, custom cakes or custom made cakes had a lower bounce rate, indicating this is a nice niche search term for True Confections Cakes.
In addition to the bounce rate, the tool also allows for displaying data by % new visitors or Avg. Bounce rate is the percentage of single-page visits or visits in which the person left your site from the entrance (landing) page. The following is a tutorial YouTube video which demonstrates how to use the visualization keyword tool. This entry was written by Studio 678, posted on December 13, 2009 at 6:21 pm, filed under google, seo. Van jou als webredacteur, contentmarketeer of tekstschrijver wordt een pagina verwacht die optimaal toegankelijk is voor menselijke en geautomatiseerde lezers. Op 23 maart 2016 vertelde Andrey Lipattsev van Google wat op dit moment voor de zoekmachine de belangrijkste factoren zijn die de positie van een website op de zoekresultatenpagina bepalen.
Off-page optimalisatie (werken aan erkenning en autoriteit via het verzamelen van inkomende links en social shares).
Search Engine Land biedt een prachtig (maar niet erg gedetailleerd) overzicht in hun jaarlijkse periodieke systeem van SEO-succesfactoren. Begin 2015 gaf ik op deze blog al een korte samenvatting van de SEO-aspecten waarmee je als webschrijver rekening moet houden. Bij Yoast begrepen ze heel goed dat je als webschrijver een beloning nodig hebt: ze laten een klein stoplichtje in de WordPress-SEO-plugin op groen springen wanneer je voldoende acties hebt uitgevoerd voor optimalisatie.
Als je liever online werkt, is de optie ‘Smart art’ in Excel, Word en Powerpoint erg geschikt. Zorg ervoor dat de keyword tree niet de uitgangssituatie van de pagina’s weerspiegelt, maar de nieuwe structuur. Begin met optimaliseren op de plaats die je het meest bevalt en markeer iedere pagina die je hebt bijgewerkt. Als contentspecialist bij Presenter help ik organisaties die behoefte hebben aan een website die hen dichterbij hun doelstellingen brengt. Web analytics gems lie deep in the data and we spend our lives looking at the top ten rows of data. Allow me to make the case for you to look beyond the top ten rows in your reports by sharing three short stories. We never bother with them both because it is really hard to look at more than 10 rows of data. It is a useful report that helps me understand performance much better than the standard reports from Omniture, Google Analytics, WebTrends etc etc. Keywords we should make love to because regardless of if they bring a lot of traffic or little, they hugely deliver to the bottom line. The limit to the data I can mine (and I use that word loosely here) is the imagination I have (or better put: the intelligence I possess about important business questions).
The one limitation of the approach is that you'll more optimally analyze your known knowns.
For pulling lots of data from lots of rows all together into one place I do so love tag clouds. Download all your keywords into a text file (twenty six thousand or so in my case) and upload them into Wordle and bam! Did you think that by doing something so simple you could get such a quickly glance-able view of so much data?
I love search keyword tag clouds because they can tell you about the health of the company when it comes to search. In my case, above, for example I LOVE the fact that above and beyond everything the word Analytics dominates it all, and what makes me happier is that the word Survey is so prominent (you all know I love qualitative data, now here is proof that my blog attracts so much of that traffic).
I worry a smidgen that people will think this blog is about Google Analytics, it is not, so I am happy that the word Google appears atleast as much as the word Web (and variations like website and online etc).
See how I can understand about a strategic concern, at least a bit, using a technique as simple as a tag cloud? Another thing I am rather ecstatic about is the sheer diversity of the keywords in search queries. Finally for all the money that Gatorade is handing out to premier current athletes (and the really expensive content Gatorade has on its website related to those top athletes) only two show up in the tag cloud. I would humbly dramatically change Gatorade's SEO and PPC strategies tomorrow morning. It is amazing how when you have so much data in one place, using such a simple technique, that you can find some very intriguing patterns in your data, stories that might validate what you are doing right or expose everything that is wrong with your digital strategy. I was so happy when I first saw it because of this constant quest I am on to take lots of data and show it on a page.
Zach and the team at Juice Analytics have created two powerful visualizations: Referrer Flow and Keyword Tree.
While in the case of tag clouds it is difficult to understand the relationships between different words that exist in your search queries, that is not the case with keyword trees. I can simply walk through the various branches of the tree and it helps me understand in a very powerful way the relationships that exist in my data. Notice the relationships change, the queries you would have paid attention to will change, what you will action will change. You can do lots of true analysis, for free, with your data and get the kind of insights tables from Google Analytics and Yahoo! The darn thing did not even fit my laptop monitor (1440×900), and there was so much going on that it took me a while to absorb all the lessons.
For all of the reasons I was less than thrilled with the gatorade data in #2, I am less than thrilled here. Each effort above uses something very simple and while none of them are a panacea, your understanding of web metrics data will not be the same boring self. As far as my techniques go – well you'll probably laugh but I use column sorting in my report tables a lot!
As for search terms the first problem indeed is their number, the second is the typing errors.


Something like text mining seems to be interesting for reducing the number of search terms (search phrases) to a limited number of categories. I am always for learning about new tools and techniques that makes my job easier and gives more actionable insights — and today I got a new one to play with (keyword trees)- Thanks!
Of course you can also of course use the GA API to pull out every single row of your data from Google. Or is the concern that people type the wrong thing into the search engine, then come to your site and now you want to teach the right spelling?
The gatorade tag cloud is just one part of a more exhaustive analysis I had done, sadly I can't share all that context. I encourage you to click on the image on the blog and view the large sized version, that will surely illuminate a few more key points. I also encourage you to think of how much value gatorade is getting from other concepts if even with a high resolution version you need a microscope to seem them. Remember when you use the API you can make sure you are downloading just what you need and also perform other delightful functions. Djemmers: The tag cloud is distinct from visits generated by individual search queries (the things you see in your GA, Omniture, WebTrends search report).
As in my example (the first tag cloud in the post) it is simply telling me how diversified the words are, if the words I want show up often enough, how many times the word kaushik appears.
There are tag clouds that will use Visits to do the size (as in the case of the Juice keyword trees) and even use the color of the word to show bounce rates or conversions. I agree with you about delving deeper into Analytics via filters and custom reports, and I too enjoy the visual look at things you covered in your article. I am still working with clients to help them understand how to tie this to $ goal values — more education is in order.
As for the Tag Clouds, why do I have a feeling that the same Gatorade instance will happen for a lot of the businesses ?
Any ideas as to what (not set) relates to, and why it is appearing in reports filtered to include keyword traffic only? Dave: Google Analytics as a silly habit of showing not set in any custom report even if you had drilled down by keywords. You will also notice this in other reports (especially if you do custom reports which I am quite prone to), such as campaign reports etc.
Of course it is easy to go to the extra trouble and nest step to filter our not set or apply a segmentation filter.
Avinash, I am just about done reading Web Analytics 2.0 and I must say that this book is Excellent, great work!! We have continually improved the site and we are up to about 25% (from 5%) that will transact on our site unassisted. A note on the Wordle thing – you can right-click any word and delete it from the cloud.
So much insight on scraping data to find valuable and actionable metrics to make decisions off of from things to improve on, things that were expected and the unexpected. The word tree and word cloud are both valuable tools that take a maximum amount of numbers and possible data points and translates into a figure where it is much more manageable and easily consumable to make informed decisions.
Arpit: If you look at the bottom of the table, of say the Organic Keywords report, you will see a number that tells you the number you want. Stack Overflow is a community of 4.7 million programmers, just like you, helping each other.
Not the answer you're looking for?Browse other questions tagged perl tree keyword or ask your own question.
My daughter's friend faked having cancer - our daughter found out via Facebook and is devastated. Articles targeting an audience based on a location are only successful if the article is exclusive to that location. Grammar issues aside, the author will pair these phrases with thin, generalized content or content that can be applied to other locations and is therefore irrelevant. One sector that has seen an overabundance of irrelevant content due to a poor localized SEO recommendation or a misunderstanding of SEO is that of the service sector. Top service calls from your clientele include backed up toilets, blocked drains, ruptured pipes, sump pump issues, etc. Additionally, these topics have a huge audience as well as higher competition to be seen or ranked in search engines.
I love the keyword tree idea, it is an amazing way to get into the main topic and dissect it.That is, by creating keyword phrases steaming from the main topic. Similarly, the search term specialty cakes, is not only less popular (displayed in a small font size indicating a lower search volume) but it also appears in red meaning it has a high bounce rate. Door de SEO-audit heb je overzicht van de totaalstructuur van de website en van de prestaties van pagina’s en onderdelen. Dat is ook logisch, denk je maar in: zonder goede content hoef je geen inkomende links te verwachten (althans niet bona fide). Bij ‘overzicht? denkt iedereen aan iets anders, ik denk aan een boomstructuur waarbij iedere pagina een eigen ?blaadje? heeft met alle informatie die nodig is om de optimalisatie uit te voeren. Die helpt je bij het bepalen van het niveau waarop de pagina zich in de website bevindt (3 kliks diep? Afhankelijk van de grootte van de boomstructuur kun je weer vooraan beginnen zodra je klaar bent. In each case I request you to look beyond the specific request and tool, rather focus on the analysis and how you could possibly apply it. You can't wait to take it out for a first date and then another and by the third date if you do the same old thing it gets boring. If you show me a report and it is not a custom report that you have created to better pull relevant kpi's into one place then please know that I will think less of you.
A best practice is to pull atleast some input metrics (Visits) with some attribute metrics (% New Visits), have something that denotes customer behavior (bounce rate) and it is criminal not to have atleast a couple outcome metrics (goal conversion rate, per visit goal value). Use inline advanced table filters to go from tens of thousands of rows to just a few that you need to focus on.
One that used to be important (though he is still a big brand) and the other that sadly ran over a fire hydrant a couple weeks back. It always throws up surprises (partly because of my top ten rows table driven existence I have never actually looked at so much data in such a easy to understand way). I am using Visits in both cases above, but you can just as easily go for quality (in this case) and use New Visits. Interesting that you mention about information overload because just yesterday I was tweeting about the need to balance information scarcity and attention scarcity. In that case I think the search engines are getting really really smart about suggesting correct spelling as you type or after you see the search results.
But if you go look at the overall story (using CI tools) of the gatorade performance then I think in that context you'll see some of the points I made.


Only how many times a word exists in the data (without making any judgment on the value of it as in Visits or Conversions).
My humble perspective is that in our wonderful world of fragmented audiences where we can reach deep, that it should not be.
My experience is that the organic one will look much more diversified and the ppc one will look a lot more focused. I have been using them for about a month or so now and the level of insight i can get has raised tremendously. For people who got use to the Top Ten, this is what they should start hunting the lower layer. I've set up a custom report to drill keyword traffic in a similar way, and also see the greatest volume allocated to (not set).
Maybe take a look at the source if you're looking for ideas for implementing one of your own. For example, let’s say you write an article about why a homeowner should install a sump pump. Having a balanced portfolio of articles that targets international audiences as well as local audiences will only add to your credibility and amplify your exposure. Please note, the tool allows you to mouse over each keyword to reveal more data – not shown in this screen shot.
The results show the keyword phrases what were searched on that brought people to the site. Keywords which are green have a low bounce rate meaning people stayed on the site longer using these search terms, whereas keywords in red have a high bounce rate – meaning people left the site using these keywords. The more compelling your landing pages, the more visitors will stay on your site and convert. Eerst maak je de kwaliteit van je pagina’s in orde en dan ga je op zoek naar erkenning van buitenaf. Maar een geoptimaliseerde pagina draagt nog niet automatisch bij aan de marketing- of omzetdoelstellingen die je met een website hebt.
Dit is een prima manier om een (deel van een) website in beeld te brengen en pagina voor pagina te optimaliseren. You are done looking at the bounce rates and time on site and conversions of these keywords. Not only do we have a hard time interpreting insights from lots of data, we can't actually physically look at that much data and find insights. The main point is it would be hard to understand some of these macro factors in your data by looking just at a table in your web metrics tool of the top ten keywords!
That shows how exposed the Gatorade brand (atleast online) is should something unfavorable happen to these two guys. I would love to see some kind of Outcome metric there, given my passionate and sustained obsession with measuring end success. The maximum allowed is 500 rows so in your case you will have to download 52 different sets. Sometimes in trying to resolve a situation where we have no data, we end up having a solution that pukes too much data without insights — and with folks not paying attention to what is important (because of info overload and lack of clear goals as you point out) results in that solution being used sub-optimally.
I have done branded vs category keywords analysis before but this seem to open some new doors for me. Also by linking the search engine result with your Tag Cloud tracking, it is another fun thing to watch. Do you recommend G webmaster keyword report as better option, is it as good & 100 % reliable as GA data from Google SEO keyword reporting perspective?
You can minimize bounce rates by tailoring landing pages to each keyword and ad that you run.
SEO is dus geen laagje vernis over een site die verder slecht geschreven, slecht gestructureerd en slecht toegankelijk is. Daarover later meer, zie dit artikel over RankBrain van Eduard Blacquiere voor een korte uitleg). Een reeks geoptimaliseerde eilandjes is veel te gefragmenteerd om een bijdrage te kunnen leveren aan een verbetering van het totaal. Als trainer heb ik al honderden vakgenoten geholpen zich te verbeteren in contentstrategie, zoekmachineoptimalisatie en schrijven voor het web. Metrics and Conversion and Data and Questions (look at that!) and Analysis and Customer and Intelligence and Bounce and Best. Have you used other data visualization techniques that liberate you from the trap of top ten rows? I truly do take pleasure in writing but it just seems like the first 10 to 15 minutes are usually wasted simply just trying to figure out how to begin. Landing pages should provide the information and services that were promised in the ad copy.
SEO is onderdeel van het grotere proces van optimaliseren van de doelgerichtheid, toegankelijkheid en leesbaarheid van content. Het risico is te groot dat je op twee verschillende plaatsen pagina’s aan het optimaliseren bent voor hetzelfde zoekwoord.
Die levert je veel informatie over de inhoud van je pagina?s en de formulering van je teksten. One type looks for a segment that has high conversion rate and relatively low number of visitors. Het maken van een boomstructuur doe je op basis van deze twee documenten en dat kan even puzzelen zijn. For example if you have a keyword that converts well, but has low number of occurrences (but not too low, so it has some statistical meaning) our engine will find it.
Is het wel zinvol om de hele website aan te pakken? Hoeveel content handhaaf je in welke vorm? Same goes for many other dimensions (referrer, entry-time, day-of-week, number of visits, visit duration, pages visited, etc.).
De volgende blogpost in deze serie gaat over het off-page gedeelte, de rest van dit verhaal is aan on-page optimalisatie gewijd. Really pick any report with any dimension you want to look at, we spend our time (and valuable space on our dashboards) looking at the top ten. Kies je voor woorden met zoekvolumes of combineer je algemene woorden met veel concurrentie met longtailzoekwoorden? Zo weerspiegelt de keyword tree een afgerond en goedgekeurd plan van aanpak. Met de boom heb je je uitdaging volledig in beeld.



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