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Thursday, May 30, 2013

Need Better Display Traffic? Use Site Category Exclusions!


There’s a hidden side to the Display Network that we don’t often talk about.  Contextual Keywords, Topics, Placements, and Interest Categories are all common Display Network tricks these days.  However, you probably aren’t aware of your other option when it comes to maximizing your Display ROI.

Hidden away in the bottom of the Display Network tab lies the Exclusions interface.  Usually reserved for the management of negative keywords and placement exclusions, this oft-ignored corner of AdWords houses other functionality that, while not new, certainly bears investigation from time to time.

What we’re talking about here are Category Exclusions on the Display Network.


Look at him. He’s so sad.
To get to this interface, expand the Exclusions interface with the usual “+” drop-down menu.  Click on the “Categories” button highlighted above, and you’ll see the Category Exclusions menu pop up under your Campaign level exclusion options on the right-hand side fo the screen.
That's been there since, like, 2008.  I know, right?

That’s been there since, like, 2008. I know, right?

Note:  You can only do these exclusions on a Campaign level.  That’s probably pretty self-evident now that I think about it, but humor me.
Once you hit the “Add exclusions” button, you’ll then be given the option to select a campaign to examine.

Fun fact:  For some reason, they'll allow you to select non-Display Campaigns for this.  Weird.

Fun fact: For some reason, they’ll allow you to select non-Display Campaigns for this. Weird.
Once you select a campaign, you’ll find a whole host of previously-unknown Display Network categories that you can exclude based on your KPIs.

This post likely qualifies as "Juvenile" and/or "Bizarre".

This post likely qualifies as “Juvenile” and/or “Bizarre”.
There are only five categories visible above, but there are many more to examine.  Most of them are fairly straightforward, but here’s the full list along with a close approximation (read: best guess) as to what some of them entail.
  • Crime, police & emergency
  • Death & tragedy
  • Military & international conflict
  • Juvenile, gross & bizarre content
  • Profanity & rough language
  • Sexually suggestive content
  • In-video
  • In-video (user embedded only)
  • In-game – Flash games, etc.
  • Error pages – Usually due to the “site does not actually exist” error.
  • Parked domains – Domains held by squatters that just so happen to sell ads.
  • Forums
  • Pages with significant image content
  • Social networks
  • Pages with significant video content
  • Below the fold – A general category for ad placements that appear below the fold on their respective sites.
  • Non-AdPlanner 1000 – You will literally exclude any site not found on this list.
  • Video content rated for DV-G
  • Video content rated for DV-MA
  • Video content not yet rated
  • Live Streaming Video
  • GMob mobile app non-interstitial
Now, depending on your business needs, there are probably a few easy wins to be found in this interface.  Most clients/accounts, especially the more Brand-conscious ones, would probably prefer to distance themselves from sites focusing on “Sexually suggestive content” and “Juvenile, gross & bizarre content”.

However, a word of warning:  these site and category exclusions can be a bit of a nuclear option when it comes to Display optimization.  You’ll be opting out of wide swaths of sites based on these categories.  As Google mentions in the interface, “While topic and page type exclusions are done to the best of our ability, we can’t guarantee that all related webpages will be excluded.”  In general, I’d recommend not touching the “Below the fold” and “Non-AdPlanner 1000″ categories, as getting out of those is likely to cut your impression volume.

That being said, it’s a good place to look to examine your Display traffic breakdown.  For instance:  about six months ago, it just so happens that one of my accounts suffered from a bad run of bot lead form submissions.  In this case, it all came from bad traffic on the Display Network.  Utilizing these category exclusions and sticking to high-quality sites, we were able to solve the issue.  You could find similar success with your own examination of these site categories.

Guide to Set up Product Listing Ads

Part 1: Setting Up Your Data Feed
Part 2: How to Set Up Your PLA Campaign
Part 3: How To Optimize Your PLA Campaign In Your Data Feed
Part 4: How to optimize your PLA campaign in AdWords
Part 5: Targeting Strategies
Part 6: Using Google Analytics To Measure Performance

Part 2: How to set up your PLA campaign
Once you have all of the requirements for Product Listing Ads such as the Google Merchant Center account and an error-free data feed, you can focus on setting up a Product Listing Ads campaign in your Google AdWords account. But how do you start?

Link Your Accounts
Before you can begin using product listing ads in your account, you need to link your AdWords and Google Merchant Center accounts. To do this, log into your Merchant Center account, then click on “settings” in the left navigation and AdWords from the menu that pops up after clicking on settings. On the AdWords page, just enter your AdWords customer ID (looks like a phone number and can be found at the top of the page when logged into AdWords). It is possible to connect one Merchant Center account to multiple AdWords accounts if necessary.
AdWords Setting

Create a New Campaign
Once your AdWords and Merchant Center accounts are linked, you can begin to create a new campaign within AdWords to specifically target Product Listing Ads. Just as a reminder, the Product Listing Ads (PLAs) should be in a separate campaign from all other search and display network campaigns in the account. This enables you to establish different settings and budgets for PLAs and track PLA performance metrics. As when adding any other new campaign, go to the campaign overview tab of your AdWords account, select new campaign and choose Search Network only.
Search Campaign

Continue with naming the campaign on the next screen and make sure to choose Product Listing Ads under the Type section of the campaign setup. The campaign also needs to target Google Search at a minimum but it is recommended to include Search Partners as well. Keep in mind that product listing ads are not shown on the display network.

PLA Campaign Set Up

Follow the set up process by choosing your location, location options, languages and bidding and budget options as well as your preferred delivery method. When you get to the Ad Extensions section, make sure that the box next to Extend my ads with relevant product details from Google Merchant Center is checked (which automatically should be the case). The Merchant Center account you connected to your AdWords account should appear below the box. However, don’t take it as a given and double check the account name as there might also be another account linked to your AdWords account that you are not aware of. Moreover, when purposefully linking two Merchant Center accounts to AdWords, confirm which of the accounts you want to use for this campaign. Don’t worry, you can always come back to this on the Ad Extensions tab within the campaign in case it needs to be changed.
Ad Extensions

Create Ad Groups
With your campaign all set up, you can start to focus on creating ad groups on the next screen:

Create Ad Groups
Name your ad group, taking care to be descriptive as it helps with the management of the whole campaign as with any other of your campaigns. PLAs don’t use ads in the way you are used to. You don’t need to write an ad, as Google creates the ad based on the data in your feed. However, it is recommended that you test special promotional text, even though it is optional.
An “All Products” product target is created by default when initially creating the campaign but also when adding new ad groups to the campaign. Since this will be your first ad group, you can leave the All products checkbox checked. It is best practice to set up an All Products product target as it targets all of the products in the Merchant Center product feed and can feature any products on Google Search and/or Google Shopping that are not covered by any of the product specific ad groups. Start with a safe minimum bid. Judge this based on what you are comfortable paying in your Search campaigns. If the average cost-per-click is $0.75 in your Search campaigns, start with that as your default bid. It is suggested to set the “All Products” ad group bid lower than the product specific ad group bids in the PLA campaign. This is to ensure that product specific ad groups will be shown rather than the all products ad group. Once you click Save ad group, your first ad group is live.
The process of adding separate ad groups for product groups/categories follows the same principles as with any other campaign. Go to the Ad groups tab in your account, click new ad group and follow the same set up process again as shown above. One thing to remember is to uncheck the product targets All products checkbox. After hitting Save ad group, you will be directed to the Auto targets tab to define the product target of this new ad group. AdWords gives you the following option of attributes to segment your products by:

Attributes
These categories help you to define your products in a unique way and come in handy to organize your campaigns with any of these attributes or any combination of thereof.

Targeting Strategies
There are many strategies you can employ for this Google AdWords product. Picking the proper strategy, as with anything, will depend entirely upon many factors such as the vertical of your company, existing company goals, etc.
Targeting options
The most important thing is to target by the difference that makes performance change. For instance, if you find performance is about the same for each brand of dog food you sell, but each brand name is different from all of your other brand names, then you should target by this attribute.
I’ll go through some of the more successful and most commonly useful targeting strategies to begin with, and hopefully you’ll find one that matches your needs or could be altered slightly to match them.
  • Set up targets by brand.
If you sell items that have different brands, and you see different performance by brand, this is a great option for you. You will want to set up an ad group for each brand, and within that ad group, set up a target for each brand.
  • Set up targets by product type.
If you sell many different product types, and you see different performance based on these product types, this is an excellent choice for you. The set up is the same as the targeting by brand: set up ad groups based on product types. Within those ad groups, you should set up targets based on product types. When I say product types, I am referring to the Google product categories.
  • Set up targets by custom defined attributes.
AdWords labels targeting and AdWords groupings targeting allows you to target by category/product grouping that you decide fits your business best. This would allow you to group products/product lines by season, for instance. You could have labels for “fall line” and “summer line”. You could even include a designer’s name: “Gucci Fall Line”.  The possibilities are endless here. The key to utilizing this targeting method most effectively is to find the biggest cause of performance change in your account. You need to analyze your data in AdWords and any Analytics package you use to find what attribute you can separate your products by that causes performance changes, but everything within each attribute has similar performance. So, while these targeting choices are the most appealing because they allow the most customization, they also require the most work and intelligent analysis to utilize properly.
There are a few differences to these targeting methods you should consider before picking on. You must use the cost-per-click pricing model with the AdWords labels target, but you can target up to 10 labels at a time.  Whereas with the AdWords grouping target, you can only target one grouping at a time, but you can use it for whatever bidding method you prefer.
  • Set up targets by SKU or product id.
This is a targeting method that seems favored by many advertisers. This allows you to know exactly what product you are targeting. Instead of grouping several or many products into one target, you can be sure the performance of each target is directly tied to an individual product.
This strategy could be advantageous to any website with a small inventory or with a handful of top performing products. For example, if you sell a small line of supplements, it may benefit you to manage each product separately in your Product Listing Ad campaign.
As to the organization of this targeting method, you could either have an ad group for each target, which would be beneficial if you’re doing cost-per-acquisition bidding at the ad group level. You could also think of some other way to organize your products, perhaps an ad group for each product type, and then have the individual product targets housed within each ad group. This would be best for cost-per-click bidding.

Summary
Try to be creative with your ad group organization so it gives you the most value when reviewing performance metrics. However, be careful to not make your ad groups so granular that the data becomes meaningless. Also, while a promotion for Product Listing Ads is optional, use it to advertise a coupon code or other specials that you are running for your products. With this being said, it is important that the promotional message is true for all the products in an ad group and that it is updated on a regular basis as promotions tend to change over time. Another, often neglected, tip is to add negative keywords to your campaign before it goes live. Although you do not need to enter keywords for PLA campaigns as Google uses your product feed to match your products to appropriate search queries, negatives can improve campaign targeting from the start. One last piece of advise for setting up a PLA campaign in AdWords, only select product targets that exactly match what is in your feed or your PLA won’t show.

This is it! Now you have successfully set up your first Product Listing Ads campaign. Watch out for Part 3 of The Total Guide to Product Listing Ads, when we discuss: How to optimize your PLA campaign in AdWords.

Targeting Mobile user by Video Advertising? Shocking Report...

Surprise: 98 Percent Of Smartphone Owners Don’t Watch Mobile Video — Study

         According to data released yesterday by Experian Marketing Services, US adults on average spend roughly an hour a day (58 minutes) on their smartphones. By comparison, according to data from InMobi, they spend 108 minutes per day using mobile media. It’s not clear whether the latter figure also includes tablets.

 

 

According to the Experian data, the top smartphone activities (percentage of time spent) are the following:
  • Talking — 26 percent
  • Texting — 20 percent
  • Social networking — 16 percent
  • Web browsing — 14 percent
  • Email — 9 percent
  • Games — 8 percent
  • Other — 9 percent
Take all these numbers with the proverbial grain of salt. There are other competing data in the market that show a different distribution of mobile activity. For example, a study by IDC (sponsored by Facebook) showed email to be the top mobile activity. Other studies have shown search to be the top smartphone activity. Much depends on how questions are framed and the size of samples being surveyed.
In terms of the reach or number of smartphone owners who engaged in the activity, Experian found the following:
  • Talking — 79 percent
  • Texting — 76 percent
  • Web browsing — 62 percent
  • Email — 61 percent
  • Social networking — 52 percent
In something of a surprise, Experian says only 2.3 percent of smartphone owners watch video on a typical day. By contrast, a 2011 study sponsored by Google found that 48 percent of smartphone owners watched video on their phones (although frequency wasn’t identified).
Android vs. iPhone activities
Experian also found “clear differences” between iPhone and Android users (see graphic above). For example, iPhone owners talk less and text more than Android owners. Android owners spend more time on the mobile Web than iPhone owners. And, iPhone owners email and use social networking more than Android owners.
Again, none of these data should be taken as more than simply “directional.” The takeaways are that people spend significant amounts of time with their smartphones and engage in a diverse range of activities on their devices.

 

AdWords Report Scheduling For Any Day Of The Week

          A new change in AdWords allows marketers to schedule reports to run any day of the week. Up to now, reports could be scheduled for the first of the month, daily or weekly on Monday. So, if you report Friday through Thursday, for example, scheduled reports weren’t very helpful.
          Now, you can schedule weekly reports for any day of the week. Reports can span the previous 7, 14 or 30 days and emailed to you on the day that best meets your reporting needs.
AdWords Scheduled Reports by Day of Week

Wednesday, May 29, 2013

What Exactly Is Meant by “Retargeting”?

Retargeting is not a new concept to the digital industry — in fact, it has been around for some time — but its uses and forms have definitely evolved. Over the course of this evolution, “retargeting” has become somewhat of a loose term – we now see it used alongside “search” and “social” in addition to its original form, “site retargeting.”
In my opinion, there is a real need for clarification of, and education about, retargeting. For example, is search retargeting really re-targeting? Despite its name, search retargeting is more of a mid- to upper-funnel strategy that engages new users, as opposed to re-targeting current customers. Can you truly retarget someone new? It seems like a bit of a contradiction.
We have also seen a similar trend with social retargeting. Just because a user shows interest through social media or intent through search, does this automatically qualify as a form of retargeting? What if they have never been targeted to begin with? As we continue to apply data to our display campaigns, we should be careful with how we bucket various forms of targeting and make sure we understand what their strategies are and the audience they are designed to engage.

Site Retargeting

Site retargeting is probably the truest form of retargeting because you are re-marketing or re-engaging current customers. In this scenario, the consumer has been on your site and has perhaps even made a purchase of your product. You then use that data, along with your existing relationship and knowledge, to try to bring the consumer back into purchasing more. This is the very bottom-of-the-funnel, as they are already your customers or have already visited your site.

Search Retargeting

As mentioned above, search retargeting is a mid- to upper-funnel strategy that seeks to engage new consumers from an audience group that has shown some interest in a brand’s product (or a related product), yet may not have had any previous interaction with the brand. In this sense, it’s not really remarketing or retargeting because there is no existing relationship to the consumer — at least not in many cases. Search retargeting doesn’t rely on an existing relationship for its data.
By looking at data on consumers’ search habits, search retargeting allows an audience of interested consumers to be built and marketed to, whether they are current customers or not. As I explained in a previous article, an audience built by search retargeting is larger than an audience based purely on SEO keywords or an audience built on site retargeting data.

Social Retargeting

Social retargeting is even more upper-funnel than search retargeting because it uses purely interest-based data points from consumers to identify and create audience groups, whether or not they have searched for, bought, or researched the brand’s product or a related product.
Until recently, Facebook was a prime example of social retargeting, as it would use social data (such as a status update or brand comment) to reach consumers with ads. Today, Facebook has expanded its targeting capabilities to include search- and site-level data.

Behavioral Targeting

Behavioral targeting has one thing in common with social and search retargeting: it focuses on building audiences. However, the main difference is the data it uses to identify those audiences. Behavioral targeting is less about fact (i.e., a consumer actually searches for a product and/or references a brand through social channels), and more about inference. As a result, marketers may be less likely to reach “qualified” consumers through behavioral targeting as compared to search retargeting.

Final Thoughts

SEL_5.21.13The common thread with the above types of ad targeting is data, not whether or not they are technically considered “retargeting.”
Marketers should think carefully about the data used to create the audience they will be marketing to. Remember, there is a difference between reaching current customers (or audiences already exposed to and interested in your brand) and engaging new audiences through advertising based on search, social and behavioral data.
Understanding this difference matters most when it comes to evaluating campaign performance. Each targeting strategy should not be held to the same metrics because they are being used for different parts of the funnel – from site retargeting at the low end of the funnel to behavioral being at the very top.
The best balance for both a branding and a performance campaign is smack in the middle: a strategy in which search data meets display advertising — otherwise known today as search retargeting.

Pros and Cons of Google’s Enhanced Campaigns



For the past 18 months, PPC’ers all over the world have been happily creating mobile, tablet and desktop campaigns following Google’s announcement that tablets could be targeted. Many advertisers rejoiced at this new found ability to monitor user behaviours by device, optimising campaigns in line with this. Many will have also capitalised on the lower click costs, higher click though rates and stronger conversion rates that we have often observed on tablet campaigns. And, over the course of the past year more and more advertisers will have shifted budget away from desktop campaigns to support this surge in the volume experienced on other devices, with many seeing positive results from this.
Now, however, Google has launched ‘Enhanced Campaigns’, which means that the time of splitting campaigns out into mobile, tablet and desktop is coming to an end. It won’t all happen instantly though; there will be a 5 -month grace period which will come to an end in June, this year.
“Why?” you might ask. Google’s answer … future proofing. The line between tablet and desktop is becoming increasingly blurred and this will only worsen with the emergence of new devices, for example those with detachable keypads. Google suggests that there is now little distinction between the two.
So what does this all mean exactly? Well, in a nutshell, tablet and desktop will be rolled into one group with mobile still considered separate to an extent. For each PPC campaign created you will be able to target desktop and tablet with the option to then either include or exclude mobile. Therefore, all campaigns must now target either all devices or tablet/desktop only; there will be no mobile only campaigns.
We will still be able to see performance break downs across tablet, desktop and mobile and we will be able to bid differently for mobile, using multipliers to up weight keyword bids by a maximum of 300%. We will also be able to assign specific ad copy to show only on mobile devices and Ad scheduling will still be a function whereby you are able to turn off mobile at certain times/ days of the week. Google have also thrown in some great new tools including smarter site link capabilities and cross device tracking in the AdWords interface.
So what does this mean for PPC campaigns? What can we no longer do, and what can we do now that we weren’t able to previously? If we dig a bit deeper into these changes and what they mean we can set out some clear pros and cons of these changes, we’ll start with the cons as I prefer to end on a positive.

The Cons
1. Reporting of performance by device, whilst still do-able will now be a lot more time consuming as you will need to look at each campaign individually.
2. Whilst we will be able to view tablet performance individually we won’t be able to optimise for it separately, therefore if we want to increase visibility on tablet devices we will also be increasing our visibility on desktop. And vice versa.
3. We will no longer be able to create tablet specific ad copy or site links, or up weight tablet activity at certain times of the day/day of the week.
4. Desktop and tablet campaign structure will need to now be set up with mobile in mind, so additional restructuring may be required.
5. Assigning marketing budgets to each device will be a thing of the past. A shift in mind set will be required in order to think less about where the money is being spent and more about where the ads are appearing as a whole and the user experience.
6. Advertisers that have previously created tablet campaigns for only selected keywords may find that the costs initially increase with volume /CTR’s/CPC’s and other KPI’s affected as now every keyword targeted to desktop will also target tablet too.

The Pros
1. Less campaigns to manage – no longer will one campaign be turned into three device specific campaigns.
2. We still have the ability to bid at a lower/higher level for mobile.
3. We will now be able to adjust bids by location. For example, a local deli shop would be able to increase their bids by 150% if the searcher was less than 1 mile away, as this may be more valuable to them than someone searching 5 miles away.
4. Previously site links operated in one block but we are now able to see performance by each individual site link in AdWords. We will instantly be able to see which links have the highest click through rates, allowing PPC managers to use these insights to improve performance.
5. We will now be able to schedule site links by time and day of the week and we will be able to assign specific site links to mobile devices.
6. Site links will now also be available at ad group level as well as campaign level allowing for more control over which site links appear with which ads.
7. For desktop and tablet ads call extensions with a Google forwarding phone number will now be free, previously this was charged at £1 per call.
8. Although not available at the moment, Google have said we will eventually be able to track across devices seeing the contribution of mobile to desktop, for example. Google AdWords Conversion Tracking tags will need to be implemented on site for this to work.
Google are changing and adapting in line with technology and trends, and our job is to move with them. Though there are a number of downsides to these changes there are also a lot of positives to come from this update and we will be working with our clients over the next few months to ensure that the transition is as pain free as possible.
Emily Pope, Senior PPC Manager at Amaze
www.amaze.com

Top 10 Ways to Fail with Google AdWords [Infographic]


Friday, May 17, 2013

A fresh look for AdWords Express

Today, when you log into AdWords Express, you’ll notice a brand new look. We’ve listened to your feedback and worked with a lot of small businesses to streamline the AdWords Express experience. It’s part of our ongoing efforts to make Google products more beautiful and efficient.

Clearer stats and reporting graphs
Small business owners have told us that they’re busy and that they don’t want to spend time looking for the information they need. We redesigned the dashboard to show you at a glance how many views, clicks and calls your ad has generated. There’s a simple pie chart for tracking your monthly spending, and you can also compare results over time with the new performance graph.


A faster, simpler signup
We’ve made some significant improvements to the signup experience. Now there are just 3 steps to start advertising: select your audience, create your ad, and select your budget. Getting your ad set up shouldn’t take more than a few minutes.


Real-time ad previews
With the new real-time ad preview box, you can now see your ad created right as you type.  Just hover over the icons to preview all the ad formats that are available based on the text you provide. Try it out by creating an ad at google.com/adwords/express.


We’re constantly working to improve the AdWords Express user experience to make it easier for small businesses to get their ads online. Keep the feedback coming!

Posted by Cinthya Mohr and the AdWords Express User Experience Team

Making Good Marketing Decisions based on Faulty Google Analytics data

Don’t get me wrong, I am a big fan of Google Analytics. In fact I am also a two times GAIQ certified for this very reason. But at the same time I don’t want to keep you in the dark. Google Analytics (GA) data is not very accurate and sometimes could lead to dangerous conclusions if you are not very careful.
If you are a GA premium user like me, you understand this pain more than anyone else.  I am not the first one and certainly not the only one who has raised issues about data inaccuracies in GA.  Both Crazy Egg and Blastam have raised such issues in the past through fantastic posts which are well worth a read:
  1. Why Is Google Analytics Inaccurate?
  2. Can You Trust Your Google Analytics Data?

I also wrote three posts which talk about fixing particular data collection issues in GA:
  1. Calculating True Conversion Rate in Google Analytics
  2. Adjusting Bounce Rate by Calculating Time spent on the Page
  3. Google Analytics Data Sampling – Complete Guide

I just want you to be aware of the GA issues before we move forward.  In this post I won’t talk about the current data collection issues in GA. My focus will be on how to work around these issues and make the best use of whatever data you have got.

Perfection is the enemy of Good

seeking-perfection

It took me a long time to understand that the life doesn’t need to be perfect before you can be happy or you need perfect data before you can take perfect marketing decisions. If you seek perfection then majority of time you will find yourself unhappy because something goes perfect only once in a while.
Another downside of seeking perfection is ‘procrastination’. If you spend majority of your time in trying to collect the perfect data so that you can take that perfect business decision then there is a high probability that at the end of the day you won’t take any decision/action and taking timely decisions is so important in today’s cut throat competition. Moreover an imperfect decision is always better than no decision.
Above all, no analytics tool is perfect. You can’t expect 100% accurate data from any analytics tool out there and GA is no exception. So avoid being obsessed about collecting the perfect data and be happy with the good enough data : )

Understand the business and get the “Context”

You should always start your analysis assuming that you have no access to your client’s GA account. Now how you will optimize the website for conversions? Well, it is quite simple. Browse the client’s website and ask tons of questions. You don’t need GA or any other analytics tool to develop great understanding of the client’s business.
There is a common misconception that you can develop great understanding of a business just by diving into the analytics reports. This is simply not true. GA reports are just huge collection of website usage data. They can’t spell out any insight on their own to you.
If you want to gain insight from your GA reports then you need to know the context beforehand. This is the context in which you will eventually collect, analyze and interpret the GA data or any data and take business decisions.

To know the context you need great understanding of the business beforehand. And you get this great understanding by browsing the client’s website, using all of the sites features and asking your client tons of questions about his business, not by diving into GA reports.
80% of your analytics problems are solved even before you look into your first GA report once you have developed that great understanding.
Once you get the right context, you will interpret the data correctly and you will take good business decisions regardless of data collection, data integration, data sampling and other analytics issues.
Since you already know the context beforehand, if something is not right with your analytics data you will know that immediately. You will say to yourself, it can’t be possible. For example if you already know that July is a peak season for your client and still the analytics reports are showing less than average sales then it means something could be wrong with ecommerce tracking or the website itself, may be page load time has increased?
Similarly, you won’t go into the panic mode when you see that traffic to the website has gone down drastically despite your tremendous SEO efforts simply because you know beforehand that you have now entered into the off peak season and consequently demand for your product has gone down.
In fact you will always be in a better position if you develop your business understanding without using GA reports and then later align your understanding with the insight you get from GA reports to determine data discrepancies and other analytics issues. This is in fact a fire shot way to find any issue with your analytics reports in just first glance.

Use at least two Analytics Tools

If you are using two or more analytics tools to gain insight then your probability of interpreting the data and taking the right business decision increases by several folds.
For example if Google Analytics reports to you that your sales have increased by 20% in the last one month and Omniture reports to you that your sales have increased by 30% in the last one month then one thing is certain and that is your sales have actually increased in the last one month.
If you choose to use only one analytics tool then you can never be 100% sure about your increase in sales.
Similarly if Google Analytics reports to you that your sales have increased by 20% in the last one month and Omniture reports to you that your sales have decreased by 30% in the last one month then one thing is certain and that is one of the tools is collecting and reporting inaccurate data.
If you choose to use only one analytics tool then you may never be able to find such data collection issues.
Note: No two analytics tools report same website usage data for one website. It is quite common and normal. So focus on trends instead of the actual numbers.

Segment the data

No matter how bad your data is, not segmenting it will only make it worse. Moreover segmentation is the key to successful optimization and taking the right business decisions. You need to segment the data to its most granular level before you interpret it or take any decision. This is because in aggregate form you will never truly get the real insight.
For example the Goal Conversion Rate of a website can be very misleading because it takes into account every visit happened on your website from all over the world. Not every visit can lead to conversion and certainly not the visits from geo locations which are not your target market.  So in order to get better insight you need to segment your goal conversion rate. Talk about like Goal conversion rate of the branded organic search traffic in your target market area (like London) and then take decisions on the basis of such insight.
If you need more convincing then check out this post from Avinash which explains the importance of data segmentation much better: Web Analytics Segmentation: Do Or Die, There Is No Try!

Get your Maths and Stats right

Google Analytics reports are full of averages and if you don’t know how averages work then you can easily misinterpret them. One of the most misunderstood ratio metrics is ‘conversion rate‘.  Because of poor stats skills, many marketers have no idea that conversion rate can negatively correlates with sales and profit. They think that the conversion rate always positively correlates with conversions i.e. as conversion rate increases, sales always increases and so is profit. But this is not true. More about it is in this post: Case Study: Why you should Stop Optimizing for Conversion Rate

Similarly you can not double your sales just by doubling your marketing budget. It doesn’t work that way.  If campaign ‘A’ conversion rate is 10% and campaign ‘B’ conversion rate is 20%, then it does not always mean that campaign ‘B’ is performing better than campaign ‘A’. You first need to make sure that the difference in conversion rates is statistical significant before you can take any decision.  Similarly, when your website conversion rate jumps from 10% to 12% then it is not 2% rise in conversion rate.

Poor understanding of maths and stats is the fire shot way to failure in any analysis even with the most accurate data in hand.  No matter how good or bad your analytics data is, not using the correct maths and stats will always make it worse.

Look at the big picture and not the raw numbers

You know it by now that GA data is not very accurate and its metrics could be 10 to 80% off the mark depending upon your traffic size. You can easily change the value of almost any metric by just changing your data sample size. You also know that no two analytics tools report same website usage data even for one website.
Because of these limitations, it is not wise to rely on raw numbers or any single metric for data interpretation. You need to focus on the bigger picture and that is the trend.  Measure the performance of your campaigns at the product or page level instead of the keyword level.  Don’t get bogged down into minute details: “oh GA is reporting 300 visits but Omniture is reporting only 210 visits’ or this keyword generated $200 but last time it generated $500”
Such type of analysis will just keep you busy in focusing on the 100% that doesn’t really matter instead of the 20% that really matters. Yes I am talking about the mighty 80/20 rule here. 80% of your output comes from 20% of your input. 80% of your sales come from 20% of the products. So you need to find that 20% and just work on it relentlessly.