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You are here: Home / SEO / [Live] SMX Sydney ’13 – eCommerce SEO‚ How to Avoid Common Pitfalls

[Live] SMX Sydney ’13 – eCommerce SEO‚ How to Avoid Common Pitfalls

April 3, 2013 By Jason Mun Leave a Comment

[Live] SMX Sydney ’13 – eCommerce SEO‚ How to Avoid Common Pitfalls

jonquinton-smx-sydney-13 

Speaker Profile:

Name: Jon Quinton

Company: SEOGadget

Twitter: @jonquinton1

Google+: https://plus.google.com/100878256385748589476/posts

Notes:

  •  Jon introduces Searchmetrics tool to monitor keyword rankings trends – use it to compare competitors and overlay with algo updates
  • The most common pitfall with ecommerce SEO is dodgy and old link building tactics – penguin food
  • SEOgadget are spending alot of time cleaning up old links for clients – stop building shitty links
  • Identify who is linking to you and make a judgement call on which links should stay – identify the risks
  • Graph up DA of linking domains and linking C block distribution
  • A natural links link graph will look like a bell curve of mid range DA domains
  • Directories on the sam C block is a risk – same owner hosting different directories
  • Evaluate the proportion of commercial vs brand anchor text links….
  • Jon shows example of comparethemarket.com link profile – very natural looking profile
  • Sitewide links are red flags
  • having a strong brand with diverse traffic sources will negate the risk of ranking fluctuations – there is a direct correlation with dodgy link building and relying solely on organic search
  • Jon introduces the Birdsong tool to identify content types that work
  • Birdsongdtt.com – identify content that works well in social
  • Most ecommerce player are always in the market for a quick buck and not making use of data available to them
  • Internal search data unlocks GOLD dust – make sure you track and monitor that
  • Use data to tweak categories and product structure
  • Another common pitfall is stock info – you can track that stuff with custom variables in GA
  • Must track high converting products to helps buying teams determine best selling products
  • Using revenue metrics makes SEO data instantly more powerful (category, keyword, search volume, rank, revenue)
  • Use comprehensive keyword research to unlock trends and identify content gaps for any given time
  • Match keyword data with crawl data to find keywords not yet being targeted
  • Match keywords by user intent (brand, product category or product specific)
  • Use language and terminology that users are using, don;t use internal terminology
  • If there is a demand, don’t waste opportunity with product filters – create a standalone category. This will allow for better keyword targeting
  • Think about seasonality, start optimising way before the spike
  • Most ecommerce websites will have unique set of crawling issues
  • Use the index status report in GWT to see how Googlebot is crawling the website – correlate how many pages vs what G crawls and indexes
  • Understand how crawl budget is being spend with logfile analysis – log files don’t LIE!
  • Most common crawl budget wastage is spent on non-value pages like pagination, filters, blank pages, etc.
  • Use rel=next and rel=previous for pagination to deal with dupe content issues
  • Most ecommerce players are now starting to understand value of content since Panda
  • Content should reflect the character of the business not just for rankings
  • Stupid content at the bottom of the page is useless – it doesn’t do anyone any favours
  • Short product descriptions are a common pitfall – make sure that it provides enough information to convince users. Take in to consideration Panda thin content penalty
  • Relying on product descriptions via a feed from merchants is a big NO NO – inviting Panda for dinner
  • Check out wish.co.uk for good content example
  • Tools that Jon uses: Majestic SEO, Open site explorer, screaming frog, Birdsong, Excel

Disclaimer:
Please excuse the typos, broken links, incomplete sentences, etc. 

 

 

 

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