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Thanks, Chris. That's a great point. We'll certainly keep that in mind as we approach our messaging and targeting.

Thanks for the question! I think this is a bit hard to give a clear answer with the information provided so far. I think that unless you are dramatically changing keyword targets I'm not sure why you would need to start a new campaign rather than just adding/modifying existing ad groups? Are you worried that the current CTR is so low that it is impacting the performance of new targets and you feel there is benefit to starting a new campaign with new ads/keywords? In regards to your question, I think it depends on how below your benchmark the current performance is. It might make sense to start a new campaign and see how it performs. In either case I think it really only makes sense to build out a new campaign if you are going to make a significant change to your approach as far as keyword targets, ads or match types go! I hope this helps you decide and please do follow up with some more information if you think it would be helpful for us to better understand your question!

Hi there, that's a great question. Unfortunately, as far as I'm aware, this would be difficult to implement; the only way I know of to do this is with cross device tracking via user ID in Google Analytics (Universal Analytics implementation). But that would only work if the user had logged in both on the mobile device and later on the desktop device. You could do a rough estimation of the FB driven later conversions by tracking micro conversions on mobile and then trying to correlate those with macro conversions on desktop, or something like that. But it wouldn't be very precise. Of course if there is a way of doing this more effectively that I'm simply not familiar with I would love to find out! On a sidenote, it's worth noting that it's important to ensure that whenever you run a Facebook campaign, you tag it with the UTM tracking parameters, otherwise GA will likely misattribute it as direct traffic.

God damn, I didnt realize that it isnt a part of a rich snippet. My eyes were blind. Thanks a lot!

Hi, It seems to me like you need cross-domain tracking. In the sequence you describe, when someone hits the subdomain first before clicking to the main site, it's coming through as referral traffic - at which point you're losing the connection (you can still get this data, but in a much more convoluted way). You should also be able to tag multiple domains with your email tool, so either (sub)domain you link to would have the same parameters, and with cross-domain tracking enabled, you'll have session unification between the 2 domains.

The comments above are right, you do indeed need at least 30 reviews in the last 12 months that have been posted to one of Google's review partner websites. See here for a list of locations you could use. Once you have accrued a number of reviews they will be appended to your adverts. Secondly, providing you are competitive in your SERP positions you could also look to implement Aggregate Rating Schema into your sites code, this will allow you to also display star ratings in your organic listings helping you to again stand out from your competitors when people search.  You can look into this further here. 

Bryan, Chris thank you for your help! It ensured me that there's no golden rule for this problem. The problem is, that I'll need people to add quite boring data (e.g. demographics, car and real-estate conditions). I'm considering to split it up somehow and slowly but surely make people submit all the needed data. Capturing an email address and then guide the users through a personalised program making them fill everything, seems reasonable. I was just surprised that I hardly found anything in this topic on the interwebs. Maybe I'll write one our of this case.

Thanks a lot dude!

Hi there Have you tried to do any A/B Testing to see what converts better and has a higher engagement rate? Services like Optimizely https://www.optimizely.com/ you can do free Live A/B Testing with very minimal coding required (apart from putting in the Optimizely script into the Body of the page)

Hi, I wouldn't be worried about this too much, the biggest and smallest sites in the world do A/B testing and most of the big ones run it through the back-end of their site. In all cases you're trying to improve the user experience and make sure they have a better time on your site. I don't worry about this for TNW at least.

Great advice again, wil buy the bok and look into the service. Justin

I write all of my own meta descriptions and spend good time on them.   Much of the time, my meta description is grabbed and shown verbatim in the SERPs.  In that meta description I can give a nice list of topics covered in my article or features of a product or value proposition on shipping.   I read lots of meta descriptions and use them to decide if the page is worth a click.  I don't think that I am the only person who does this, Why would I spend three days writing an article and then not write a nice meta description?  Or, not write a description with clever marketing for a product that I sell hundreds of per year.   Why would I not shoot finely-crafted arrows when I can? Keep in mind that Google has a mentality to do everything with an algo. And     that     can    be     a     huge      problem. How many people have their adsense accounts banned unjustly with no possible appeal?  How much adwords advice is given poorly?  How many times does google email me that my traffic has fallen off a cliff the day after Thanksgiving?   How many times does their program send adsense policy violations in error?   How many times do they give the wrong person credit for images in image search?  How many times does their parameter management in WMT not work and you fix it yourself using htaccess?   Google is even know to list wrong numbers for police stations in knowledge boxes!   (Stopping here, I could keep going but you get the idea.). Google has a philosophy that "we would rather do stuff half-ass at scale, than have a human tool do it right most of the time".   Doing stuff with algos at scale is OK much of the time and Google is quite good at it..... but my advice is do not allow google to do anything important for you that you can do for yourself. I am going to bet on me, and if you think that you are a reasonably smart person, then maybe you should bet on you.

Every Channel is different. We benchmark at 6% for 1 company and are wrapped to hit 1% for another. We have a niche product/client at 14%. If there was a standard - I would suggest in the range of 2-4%.  All that said it really comes down to on site behavior - where are they dropping off?  Is it the landing page - Why ? Is it the checkout page? Why? I would be very very carefully monitoring each page interaction.  Find out what makes them click and what does not. Then make adjustments accordingly. Have you considered Optimizely or Unbounce? Not a fan of either but they are good at promoting themselves and many do rate them. If you have the budget I would spend some time trying to find out why people drop off, via survey and analytic's.  Some very small improvements can make a massive difference. Nice little article.  http://tinyurl.com/nomws53 Hope that assists.

I don't have much knowledge about GTM. I will have to test the way you've recommended and see it would work for us in order to track this type of traffic. Huge appreciated for investing time on this issue and provide valuable recommendations. Thank you so much.

Everett, thanks a lot.  Finally there was an update of the module we used for generating the code that resolved the problem. Cant say what they changed.

Hi. I say the content and "worthiness" of review is much-much more important than the date. Unless your products are freshness/time dependent. If you've been selling the same shoes for years, then reviews from 4 years ago will be as relevant as from yesterday. Now, if your shoes had some major issues and you've improved since then, which would affect the reviews, then sure, remove the old ones, as long as they are irrelevant. Also, it depends on how many reviews you're getting. If you have 5 reviews and 4 of them are from four years ago, then, I think you should pay more attention to actually getting reviews, rather than filtering them. Another thing I'd like to point out is that it's better to have old reviews than no reviews whatsoever. In terms of SEO effect - as far as I know, the ratings is more important than the freshness. Which does make sense - if you have 1/5 stars with 10k review from last month - it won't be better than 100 5/5 star reviews from couple years ago. Hope this make sense. Cheers.

Hi Al! Just a note on alternate tools to check rankings—you can actually get your rankings whenever you'd like using the Rank Tracker Research tool in Moz Pro.

I suggest using Google Analytics Experiments, with multi-armed bandit. Doing so you can set the significance level you want and the experiment will stop when that value is reached. By default the p-value there is 95%, I usually left it set to 95%. And I usually repeat the experiment a second time to confirm results.

Great tips. Optimizely is particularly strong at the testing stage. It depends what depth/level of insight is required when it comes to behavioral insight (CX) tools for CRO. We have researched the market quite a lot Crazy Egg, LuckyOrange, ClickDensity & Hotjar - focused towards SME's SessionCam, ClickTale, IBM Tealeaf and Decibel Insight (our tool) - enterprise/corporate level (huge sites) Be wary that many tools offer pre-generated reports and don't allow for a great deal of customization or segmentation. Also, they were built before responsive designs were a concept, so struggle with load times for tablet or mobile views when viewing heatmaps and session replays for example.

Thanks for all the responses! Much appreciated.