Today, for everyone who has missed the event or who wants to download the great presentations discussed there, here are the 7 Slideshare uploads from the event:
1. Analytics Swiss Army Knife by @thomcraver of Internet Marketing Ninjas
Mentioned tool: SpyFu
2. PPC Peak Performance: The Definitive AdWords Audit Framework by @LarryKim from @WordStream
I have also been live-tweeting this session:
— Ann Smarty (@seosmarty) August 13, 2014
3. Mobile Advertising in the Marketing Mix for AT&T by @gregstuart
4. Leveraging Events for Triple Digit SEO Gains by David McClellan @HesDave from CBS Interactive
5. Boosting Social Ad Results with Audience Segmentation: Nowspeed and Hitachi Data Systems by @SharonHDS
Why Advertise on Social Media?
- Huge Audience: Billions of People
- Strong Momentum: Projections to double annual ad spending from from $4.6 billion in 2012 to $9.2 billion by 2016.
- Advanced Ad Targeting: Targets consumers with interests that match the virtues and values of their products.
- Multiple Engagement and Conversion Opportunities: Generate engagement, likes and followers, as well as traffic, leads and sales.
- Mobile: with the social consumer on-the-go for proven social ROI (70% of FB users are mobile)
- Low Cost per Click and Cost per Conversion 3
6. Using linguistic analysis to break through the noise by Benjamin Spiegel @nxfxcom
Mentioned tool: Rapidminer
7. Driving Revenue Over Leads by Bizible CEO Aaron Bird @birdstweets
Best resource mentioned in the presentation: Use this simple checksheet to determine the alignment between marketing and sales from both a team and data point of view
Also read: 30 tweet-sized insights from #CLZSF
Pinterest analytics are still in their infancy, compared to other social network data tools. Considering how new Pinterest is, that is to be expected. While there are plenty of tools out there to choose from (we looked at five here), there has never been a breakdown of the best from all of them. Until now.
Brandwatch has put together a report releasing information on nine different analytic tools for Pinterest, comparing them based on features, strengths, weaknesses, and their overall usefulness as a data gathering platform. It is the most comprehensive look at Pinterest analytic services that has been published.
Their findings were fascinating. Let’s take a look at what they had to say about each of the services they examined.
- Services With Owned Profiles: Pin. Web Analytics, Ahalogy, Curalate, Cyfe, GoPixel, Piqora, Tailwind, ViralTag, and Viralwoot.
- Services With Multiple Users: Ahalogy, Curulate, Cyfe, Piquora, Tailwind, ViralTag.
- Pinterest API: Pin. Web Analytics, Curulate, Piquora, Tailwind.
- Services With Free Plans: Pin. Web Analytics, Cyfe, GoPixel, Tailwind, Viralwoot.
Top 3 Platforms By Features
The three platforms that had the most features were Curulate, Piquora and Tailwind. All three also achieved 4/5 star ratings from Brandwatch on quality of their platform.
Of all of the services, Curulate was the only one that had all features scored, though it did not provide a free plan. It does have a free plan for users interested in trying out their application.
Both Piquora and Tailwind have all but one feature scored, the first missing Keyword Listening, the second missing Promoting Pins/Advertising.
All three held up much better than Pinterest’s own analytics dashboard, which scored only a 2/5 rating. While it is free, it only has a small handful of features, and no advanced data.
Bottom 2 Platforms By Features
The two lowest rated platforms in the report were Viralwoot and Piquora, both gaining only a 1/5 rating.
With Piquora, the low rating seems to be due to the price versus the missing features, which would otherwise justify the $1,500+ per month price tag. It doesn’t provide Historic Data or Competitive Data, and all other features can be found for the same price or less from better platforms.
Viralwoot, on the other hand, misses most key features. To be fair, this is due to the new release of the tool, as it is still a startup being developed. As it is free, you can’t complain too much about that. But it doesn’t allow you to see any Pin Metrics, Website Traffit/Referrals, and you have to build a community. It also doesn’t offer Historic Data or Competitor Analysis.
This is a great report written by a knowledgeable company that did their homework. Every tool is analyzed deeply, and you can get a real feel for how they work long before you try them. If anyone is considering spending money on a monthly plan from one of the better tools, it is a good idea to look through this report to find what fits your needs and budget best.
We are at ClickZ this week reporting some of the most interesting panels. And we start from one of the most popular topic: Google’s updates and penalties
Chris Boggs is first on the stage talking about the history of Google updates as well as the differences between Panda and Penguin updates
Fist Google algorithm was Boston followed by Panda in 2011. Penguin came out a couple of years later.
3 “Ps” of Google updates:
- Panda hitting weak and (nearly) duplicate content
- Penguin hitting unnatural links
- Pigeon hitting local businesses
You can refer to both Google Analytics and Google Webmaster Tools to identify what kind of the penalty hit your site. Google Analytics is good for identifying algorithmic penalties (refer to the actual dates they were introduced and see if you got hit on that specific day). Google Webmaster Tools notify you of any manual penalties.
When analyzing your traffic drop, don’t forget to pay attention to the seasonality, site updates and downtimes, etc which can result in natural traffic spikes and drops without Google’s actions having anything to do with it.
Be proactive (track your backlinks, identify your on-page content issues, monitor your traffic) with identifying possible site issues (which can result in penalties) but don’t go crazy.
Jordan Koene formerly of eBay and now of Search Metrics is on stage next talking about his experience with Google’s updates.
Pigeon is a unique animal because it allows Google to adapt to our behaviors.
Trip Advisor is the biggest Pigeon winner!
Penguin vs Panda:
Penguin = drop of traffic and it’s an isolated event.
Panda = may be a slow decline (not as harsh) + tons of fluctuations (this behavior is also similar to a partial penalty).
What is Google Looking for?
Relevance and Quality
They need human reviewers to tell if they are doing a good job at providing both.
eBay has gone through many updates and filters.
Bottom line: You can be a big or a small site but you should be always looking at your content and making it better
So HOW do You Avoid the Zoo?
- Understand the data (review it constantly)
- Find the right support
- Build in a review process
- Test and learn