Marketing 101: Why Conversion is Key to Your Success

Your conversion rate is hands-down the most important metric in digital marketing.

 

Everything you do in online marketing is designed to convert visitors to your website into paying customers for your business.  And conversion rates don't just include sales -- people who make appointments, fill out contact forms, call you, and request free quotes also count as conversions. A conversion can be any desired action that brings your business closer to making a sale.

 

It's easy to get overwhelmed by metrics when getting started in digital marketing. You must watch click-through rates (CTRs) and cost-per-click (CPC) while always considering your return on investment (ROI). But the whole point of digital marketing is to maximize conversions for the cheapest-possible price.

 

In this article, we'll help you understand why conversions are crucial to your success.

 

 

Why Conversions Matter

Increasing the conversion rates of your online marketing campaigns is usually the cheapest way to boost your profits.

 

Think of it this way -- would you rather get more customers from Google AdWords by doubling your ad budget or by optimizing your advertising approach? Optimizing for a higher conversion rate means more bang for the buck. That's a big reason why conversion rates are so important.

 

That's not all - here are three other reasons why conversion rates matter:

#1: Conversion rates can predict success or failure.

Want to know whether your business is on the right track? Conversion rates give a pretty honest assessment, especially once you've optimized your campaigns.

 

With help from analytics reports, you can see which parts of your business get the strongest conversions, and you can predict which audiences are likely to become your best customers. Likewise, weaker conversion rates indicate where your business strategy needs work.

#2: Better conversion rates can save you money.

Campaigns with better conversion rates are generally more efficient than campaigns with weaker conversion rates. A higher conversion rate lets you cover more ground without increasing your ad budget, or you can reduce your ad budget and have cash leftover for testing new marketing tactics.

#3: Focusing on conversion rates will improve your website.

Creating an air-tight sales funnel is the key to boosting conversion rates. Your campaigns, your website and your sales processes need to be as in-sync as possible. As you learn which factors are most important for driving conversions on your website, you'll eventually discover how to make your site more valuable for visitors and customers -- and the benefits of this extend far beyond short-term profits.

How to Boost Conversion Rates

Now that we've reviewed the importance of conversions, the next step is taking action to boost your rates. Here are six easy tips to take your conversion rates to new heights.

 

#1: Sharpen your ads. The first step toward increasing conversions is nailing your ad copy to stand out from the competition.

 

#2: Optimize your landing pages. Deliver on promises made in your ad copy, and use concise, catchy headlines that immediately engage visitors.

 

#3: Test new ad funnels. Create new ads and variations of your landing pages. See how conversion rates change with different advertising approaches.

 

#4: Pare down your audience. Sometimes casting a wider net is better, but tightening your focus to specific consumer groups is an easy way to boost conversion rates.

 

#5: Use FOMO to your advantage. That's the fear of missing out. If you're advertising a sale, say in your ads or on your landing pages that time is running out -- and you can even use countdown clocks for added urgency.

 

#6: Grow your social media. Urge visitors to follow you on Facebook, Twitter and other accounts. Install social media login buttons on your website if it requires a member sign-in; people are much more likely to register using social logins. And if you have a strong social following, display the number of followers or shares on your pages for increased social proof.

 

Conversion Rates Aren't Always Reliable

Conversion rates may be the most universally important metrics in digital marketing. However, any data viewed out of context can be incredibly deceiving. Never be blinded by a high or low conversion rate without carefully evaluating all the data at your disposal.

 

Here are a few ways in which conversion rates can be deceiving:

#1: Higher conversion rates may hide poor performance.

Strong conversion rates are generally positive -- that's what you want. However, you might have a high conversion rate paired with a low sales volume. Or, despite your favorable conversion rate, perhaps high advertising costs are wiping out your ROI. Never assume your campaigns are profitable based on conversion rates alone.

#2: Some of your visitors aren't there to buy.

If you focus too much on conversion rates, you may overlook the multitude of other reasons why people visit your website. Some people may be researching products, and perhaps they'll eventually return to become paying customers. Some may already be customers and they're seeking support or checking on their orders. Do you maintain a blog? You may be building an audience. Don't become so fixated on conversion rates that you forget all the other ways your website is valuable.

#3: Conversion rates can fluctuate with different audiences.

Is your online marketing causing a large influx of new visits? If so, your conversion rates may seem unusually low. That's because new visitors are less likely to buy goods and services than established customers. Also, visitors from different traffic sources tend to convert at different rates. Using Google Analytics reports can help you determine your true conversion rates among different types of visitors.

Conclusion

Conversion rates are immensely important when optimizing your campaigns. Not only do they indicate whether your marketing is profitable, but they also reveal how visitors engage with your website. Conversions aren't all that matter -- you still need to watch your click-through rates, overall spend and numerous other metrics -- but driving conversion rates is generally the key for successful campaigns.

 

 

Estimated Total Conversions: New insights for the multi-screen world

People are constantly connected, using multiple devices throughout the day to shop, communicate and stay entertained.  A September 2013 study of multi-device consumers found that over 90% move sequentially between several screens for everyday activities like booking a hotel or shopping for electronics.

As consumers are increasingly on the go and switching between devices, marketers are telling us they want to see a more complete and accurate picture of how their online advertising drives conversions.  Conversions can come in many forms: visits to stores, phone calls, app downloads, website sales or purchases made after consulting various devices.  Getting better insight into these complex purchase paths can help you optimize your online advertising and allocate budget more effectively.

Introducing Estimated Total Conversions

Today, we are introducing Estimated Total Conversions for search ads on Google.com.  This is an exciting first step to give marketers more insight into how AdWords drives conversions for your business by showing you both the conversions you see today, like online sales, as well as an estimate of conversions that take multiple devices to complete.  Over time, we’ll be adding other conversion types like phone calls and store visits as well as conversions from ads on our search and display network.

Estimated Total Conversions will provide you with a holistic view of all of the conversions driven by your Google search advertising that can be used to make important decisions like how much to bid and how to assign budget across your various marketing channels.  For the last few years, many sophisticated advertisers have been using their own analysis to get to these insights.  Today, we are beginning to bring this level of insight and measurement to all advertisers.

Estimated cross-device conversions

Estimated cross-device conversions is the first new conversion type to launch as part of Estimated Total Conversions. Cross-device conversions start as a click on a search ad on Google.com on one device and end as a conversion on another device (or in a different web browser on the same device).

For example, say someone shops for “blue jeans” on her mobile phone while waiting for the morning train.  She clicks on a mobile ad for ABC Blue Jeans.  When she gets to her office, she goes directly to the ABC website to make a purchase.  This is an example of a cross-device conversion.  We calculate cross-device conversions using a sample of data from users who signed into multiple devices. 

Estimated cross-device conversions will begin rolling out globally to all AdWords advertisers starting today and continuing over the next few weeks. To see these new statistics, you’ll need AdWords conversion tracking and a sufficient volume of conversions on which to base a reliable estimate.

In the last few months, we’ve analyzed data across thousands of AdWords advertisers to learn more about cross-device conversion patterns.

When advertisers in the travel industry use AdWords estimated cross-device conversions, they are able to measure 8% more conversions, on average, than they did before.  In addition, they can now measure 33% more conversions that originated on a mobile phone and later converted on different device.  This helps them attribute all those sales -- from customers who searched for flights and hotels on their mobile phones and then made a purchase from another device -- to the right ad.

Similarly, other verticals, like entertainment and retail are also seeing positive results.  Businesses in these industries are now able to measure 12% and 7% more conversions, respectively, than they could before using Estimated Total Conversions.

Sean Singleton, Marketing Manager at American Apparel noted that, "We always knew our online ad investment was influencing conversions across devices, but we didn't know how to begin estimating these numbers. Once we saw that 5.3% more conversions could be attributed to cross-device conversions in AdWords, we knew we could more accurately calculate the value we were receiving from each ad click.  We also learned that mobile ads are driving 16% more conversions than we thought, so we are now investing more into this channel to gain more sales.”

More results from other verticals can be seen below.

Paving the way for marketers to measure the full value of their online advertising

We are committed to helping you gain insight into the new conversion types that are part of a constantly connected, multi-screen world so that you can make the best advertising decisions possible. In addition to cross-device conversions, both phone calls and store visits will be included as part of Estimated Total Conversions in the coming months. These are important conversions to consider — people make more than 40M calls to businesses each month directly from Google ads and are often looking for physical store locations when they search on Google, particularly on the go.

Getting Started with Google AdWords: How to Determine Your Test Budget

If you’re considering launching a Google AdWords campaign, then you may be asking yourself, “How much do I need to invest to test this out?  Is $100 enough or do I need thousands?”
It’s an important question and I hear it all the time from prospective clients. Unfortunately, this question is impossible to answer without further research.  For example, we need to answer the following:

1. Which keywords will you be targeting and how much do they cost per click (CPC)?
2. What is the time frame for your test? Do you need to see results in weeks, months, or a year?
3. What is your sales process and typical sales cycle?  Do customers buy the same day they search or does it take months before a purchase is made?
4. What are your typical sales conversion rates?

Let’s go through an example and at the end you’ll know how to estimate a reasonable budget to test a Google AdWords campaign.

Find Your Target Keyword CPCs

In a Google AdWords search campaign, you pay per click.  That means you only pay Google when a prospect clicks on your ad.  If your ad shows up in Google’s results 1,000 times, but no one clicks on it, then you don’t pay a penny.  That’s why AdWords is sometimes called PPC, or pay per click advertising.
So if we’re estimating our budgets, we obviously need to know how much it’s going to cost when prospects click on our ads. And the exact amount you’ll pay depends on the keyword you’re advertising on.  For example, if you advertise on the keyword, “coffee shop,” then you’ll pay a different amount than if you advertise on “mortgage broker.”  Google estimates you’ll pay $2.90 for “coffee shop” and a whopping $13.76 for “mortgage broker.”
That’s a HUGE difference when we’re estimating budgets.
Now, you may be wondering how the heck do you find all the CPCs for keywords.  It’s actually really easy because Google provides you with the Keyword Planner Tool.  Search for your target keywords and the Keyword Planner tool will give you an estimate for how much each keyword will cost per click.  Note that these are estimates so you may pay more or less.

Testing Time Frame

It’s important to realize that you need to go into an ad campaign with a realistic time frame in mind.  As you’ll see later, the time frame will depend on your budget and it also depends on your industry.  There simply may not be enough search volume for your target keywords to get leads and sales data in 1 month.  For example, “mortgage broker” is searched 9,900 times per month in the US.
If 1% of the searchers click on your ad, then you would get 99 clicks from that particular keyword.  Is it realistic that you would get a sale from only 99 website visitors?  Probably not.  Of course, you’ll be targeting more than one keyword.  The goal here is to make sure there is enough search volume for your target keywords to achieve your goals within your time frame.  Plus, if you have a longer time frame, then you can spread out your monthly budget across multiple months.

Your Sales Cycle

This step is easy.  What is your typical sales cycle?  If it’s over 1 month, then obviously you’ll need to test for multiple months to get decent data from a test campaign.  If your customers buy within 1 day, then you know you’ll get almost instant feedback from the campaign once it starts.

Your Sales Conversion Rates

The final step before we can calculate your budget is to use your sales conversion rates.  In my example above, we estimated that we can drive about 99 prospects to our website from the keyword “mortgage broker.”  There are at least two more conversions that need to take place:

1. Prospect has to call, complete a webform, or visit your office after clicking on the ad
2. You have to close the sale

Let’s say your goal is to get the prospect to complete a webform to schedule an appointment.  A reasonable conversion rate for lead generation like this might be 5%.  So out of the 99 visits, about 5 will schedule an appointment.  I’ll assume 100% will show up for the appointment, which is not realistic, but makes this example easier. :)
Next, is your appointment to client close ratio.  Let’s make the math easy here and say you’re sales conversion rate is 20% (and the sales cycle is only a few days) so you would generate 1 new client.

Estimate Your Test Budget

Alright, now it’s time to put all this information together to estimate your test budget.  We already estimated we can generate 1 new client from 100 clicks on a targeted keyword.  Plus, we know our example keyword costs $13.76 per click, so it’s going to cost about $1,376 to generate one sale.
That means we need at least $1,376 for our initial test to get a sale within about a month, based on the CPC, search volume and sales cycle.  So if you only have $100/month to test, then it’s going to take about a year to test just one keyword.  It’s possible you’ll get a sale more quickly, but it’s also possible it will take longer than estimated to get that first sale.  In this example, I would recommend a budget of at least $2,000 to give this one keyword a fair shot.
As you can see, there are a lot of variables that go into estimating your AdWords test budget.  Play around with the Google Keyword Planner to find your target keywords’ CPCs and search volume.  Then run the numbers based on your sales cycle and conversion rates.

Or, contact me and I’ll do it for you! :)

Measure & Optimize for Offline Sales with AdWords Conversion Import

Potential buyers have increasingly turned to the web as the first step in their purchase decisions.  So for years, digital marketers in insurance, auto sales, and other high consideration industries have been using AdWords to build awareness and generate leads. These leads have been handed to sales reps, who then help customers complete the purchase process.

In AdWords, you’ve been able to see which keywords lead to higher or lower lead volumes, and to optimize for a cost per lead goal. But there's been no easy way to measure and optimize in AdWords for events that happen beyond the website, like a customer order taken over the phone by your sales team.

New Conversion Import Feature

The new AdWords conversion import feature can help you measure and optimize for the complete end-to-end purchase process. Now you can upload your offline conversion events into AdWords and see how clicks on your ads led to sales made in the offline world such as over the phone or via a sales rep.

Click image to enlarge

And since your offline conversion events will be incorporated into your existing AdWords conversion data, tools such as Search Funnels, Automated rules and Flexible bid strategies can leverage that data.

How you might use the conversion import feature

Let’s see how importing conversions can help a small business measure and optimize for the entire customer journey, from online leads to offline sales.

Isabelle designs, builds and sells high-end custom furniture. She uses AdWords to drive prospective customers to her website, where they can submit their contact information and request a sales call. AdWords Conversion Tracking can measure these raw lead submissions, but since most of them won’t result in a sale, she optimizes her campaigns on raw submitted leads; not actual sales.

Now that she’s able to import her offline conversion data (including sale value), Isabelle can better understand which keywords drive the most profitable sales. With a more accurate ROI picture, Isabelle can better manage her bids and budget.

Quality Score Explained by former Google Employee

With the continuing expansion of ad space at the top of the page (from ad extensions like sitelinks with descriptions), it’s more important than ever to make sure your ads have a great ad rank. But CPCs are on the rise – so unless you can improve your conversion rate so you can increase bids, Quality Score (QS) optimization may be your only way to maintain a high rank without breaking the bank.
While I’ve been a panelist representing Google in Quality Score sessions at more conferences than I can remember, I’ve been meaning to put together some of my insights on the topic for a broader audience. So, here goes….

The Evolution Of Quality Score

Even if you don’t care much for a history lesson, it may help paint a picture of why QS exists in the first place, and the evolution of factors may give you some insight into what Google cares about.
When I started working at Google in 2002, Quality Score didn’t exist. But what set Google apart from the other PPC ad systems at the time was how they determined if ads were relevant enough to warrant an impression. In addition to having a team of humans reviewing all ads, the system was also monitoring the click-through rate (CTR) of every keyword — if a keyword’s CTR fell below 0.5%, it would become disabled for poor relevance. Google was using the wisdom of the crowds to let its users determine which ads should show and which shouldn’t.
The problem with disabling keywords at an arbitrary CTR level was that advertisers were unhappy to see some of their keywords disabled forever (unless, of course, they knew of the workaround to resubmit the same keyword with different capitalization). So, we started to evolve the system. Instead of disabling keywords, we came up with new statuses like “slowed,” “in trial” and “on hold.”
The idea was to give advertisers a way to fix low-relevance keywords by giving them a small allowance to run ads that were considered poor quality so that they might prove otherwise. We also gave the system more flexibility so there wasn’t a hard cutoff at the 0.5% CTR level. Ultimately, though, most advertisers still saw keywords they really wanted to advertise on get disabled, and they remained displeased.
Google addressed this with the introduction of the minimum bid. Rather than flat out disabling keywords, they asked advertisers to pay more for keywords that had low relevance — the idea being that eventually, it would make no sense for an advertiser to keep paying the high cost-per-click (CPC), and they’d either optimize the relevance or delete the keyword.
In today’s system, the minimum bid has been engulfed by the first page bid, which also takes into account competition. It’s a little harder to see the direct correlation between what you pay and the quality score, but the connection’s definitely there.
Below is an example of where we see the correlation between the average CPC and the QS in our Quality Score Tracker tool.

As the Quality Score starts to increase, the average CPC in this campaign starts to drop.

Quality Score’s Impact On Ad Rank

When Google launched AdWords Select and started to shift from CPM-based pricing to CPC-based pricing, they couldn’t afford to lose all the revenue from their CPM program (which was called AdWords at the time). They were still a pretty small company, and Yahoo/Overture was a formidable competitor. So, to ensure revenue was maximized, they ranked ads in the CPC program according to a very simple rule:
Ad Rank = Max CPC * CTR
If you take a minute to look at this more closely, you’ll quickly see that ad rank is, in fact, equal to CPM or dollars-per-impression. This was the simple but brilliant insight that made AdWords so powerful — advertisers only had to pay when they got clicks, users would see more relevant ads because ads with high CTRs were more likely to appear high in the results, and Google was making as much money as possible from these ads.
The equation for ad rank is a whole lot more complicated these days and now includes thresholds for appearing at the top of the page, landing page factors, and more. But at the heart of it, the original principle still applies: if Google can show more relevant ads, they will get more clicks, have happier users and make more money. And, the key component for achieving this is CTR.
The importance of CTR to Quality Score is a bit like the importance of TF-IDF to SEO. While there are hundreds of factors that go into ranking in paid or organic search, these long-established principles are still some of the most important ones. In the 80/20 rule, these are your 80 percent factors and the first ones you should pay attention to.

Factors Of QS

While I’ve explained that CTR is a main driver in QS, it’s useful to understand how Google thinks about CTR. After all, there are many things that influence the CTR you see in your account such as the device, the network, or the position of your ad on the page. Thus, the average CTR you see in your account is not the CTR Google uses to determine Quality Score.
To make sure advertisers have a level playing field, they evaluate small slices of CTR.
For example, they look at different CTRs by device type so that your performance on mobile won’t affect your performance on desktops. They also have a different CTR they look at for the Display Network and Google Search — a good thing, since CTR on Display is usually much lower, and you wouldn’t want that to hurt your QS for search.
Where possible, they also favor looking at the CTR when the keyword in your account matches the search query exactly (don’t confuse this with the “exact match” keyword match type), and they normalize the CTR based on the number of ads on the page and your ad’s position amongst them.
Furthermore, Google has to make some guesses before they have a statistically significant amount of CTR data for new accounts, new keywords and new ads, and they do this by evaluating the CTR at different levels as explained in the diagram below.

The various levels at which Google evaluates CTR to determine Quality Score.

As you can see, there are 3 levels of CTR evaluation: the account, the keyword and the ad. These CTR elements are all combined into a secret formula and out comes your keyword-level Quality Score and the corresponding number between 1 and 10 that you can see in your account.

How Quality Score Is Set For New Keywords

When a keyword is new in an account, there is not a strong historical element for how the keyword performs with its ad text (factor 3), so the QS is mostly based on system-wide data for that keyword in all other accounts. That gets combined with data for how this particular account and its ads have performed historically. If these elements have good QS, the new keyword is likely to also start off with a better QS.
To give an example, if you have 2 accounts, you should see a lower starting min bid in the account with the better account-level QS. If you have 2 domains, you will see a lower starting min bid when using the domain that has a better QS.
After the system gets enough data about more specific things, like how the keyword performs with the ad you wrote for it, it will rely much more on this to determine the Quality Score. This is why it’s so important to have great account structure and split up your ad groups in a way that allows you to create great performing ad texts for each grouping of tightly related keywords.

Other Relevance Factors

According to Hal Varian, Google’s Chief Economist, QS also considers “relevance” in addition to CTR. But what does that mean? The easiest way to think about this is once again based on click-through rate — but, rather than using CTR to generate the QS number between 1 and 10 that you see for each keyword in your account, it’s used at the time a user does a search to determine if there are any correlations between that user’s search and your ad that could predict the CTR (Google’s Quality Score is a predictive system that tries to predict CTR for each ad and each query). Some examples:

1. Did the user’s search include some additional words, and do those correlate with your ad’s expected chance of getting clicked? E.g., if you have a job website and want to advertise on the keyword [jobs], your ad is probably not relevant when someone searches for “Steve Jobs.”
2. Does the location of the user have any correlation to your predicted CTR? E.g., if your business is in the US and the searcher is in Belgium, perhaps it’s less likely your ad will get the click because the users may prefer a business closer to them.
3. Does the time or day of week influence your predicted CTR? E.g., Google may know that users are less likely to click on your ad on a Tuesday.

These factors let Google assign you a real-time quality score which they can use to better rank your ad for that particular query. There could be many other “relevance factors,” but just know they’re all based on the same principle of trying to predict the likelihood of your ad getting a click based on something Google knows about that specific query.
While the lack of transparency into the factors may be annoying, this relevance component has helped advertisers by automatically giving them more good clicks and fewer bad ones.

Landing Page Quality Score

The landing page is one of the newer factors used for QS. Landing Page Quality (LPQ) started as a way to counteract bad sites that duped users into clicking their ads and hence had a good CTR but a lousy user experience. Now that LPQ can also improve your QS, it’s getting a lot more attention from advertisers (probably more than it warrants).
Remember, the CTR of your ads is still the bigger QS factor and probably the better thing for most advertisers to focus on optimizing. Every now and then, I hear of advertisers who are spending a ton of time creating one landing page per keyword so that the keyword will appear on the page and score a better LPQ. That’s probably overkill — Google is very good at understanding how words are related, so it’s unnecessary to include every variation on the page.
My personal recommendation is to also keep a close eye on bounce rates and time on site, two metrics you can see directly in AdWords when you link it with Analytics. A high bounce rate or very short time on site both provide a great way for you to find keywords that are not relevant in the minds of users.

Optimizing The Right Elements Of Your Account

If you haven’t guessed by now, optimizing Quality Score is really all about optimizing for CTR. The challenge is to optimize for the right CTR. For example, because Google uses position normalization when determining how your CTR impacts your QS, it could very well be that your ad with a 15% CTR in the top position on Google is actually worse than your 3% CTR ad in the last place on the right side of the page.
You should also look at the impression-weighted Quality Score to determine which keywords and ad groups are most in need of an optimization. I shared a script for automating the calculation with AdWords Scripts.

Google Adds Enhanced Campaigns Bid Adjustment Reporting To Google Analytics

Google announced today that Bid Adjustments reports for AdWords enhanced campaigns are now included in Google Analytics.
The reporting, found in the Advertising section under Traffic Sources in Analytics, are designed to help advertisers analyze the performance of each bid adjustment within a campaign — by device, location and time of day.
You’ll notice in the Google-provided screenshot example above, there are columns for Revenue and Ecommerce Conversion Rate in the Summary view. These metrics are available when Ecommerce tracking is enabled in Google Analtyics, allowing you to analyze bid adjustment performance by ROI. However, when you look at your own reporting, you may see that the Summary view only shows goal results and that the columns for Revenue and Ecommerce Conversion Rate appear under the Ecommerce view instead.

The Most Important KPI For A Performance Marketer

Many performance marketers continue to consider click-through rate (CTR) as a key performance indicator of their search campaigns’ effectiveness and evolve their PPC optimization strategy around that.
At the end of the day, what matters most is achieving the best ROI given your business objectives and budget, and you might optimize directly to CTR or ROI or a combination of success metrics to achieve that.
In order to have the best optimization strategy for your SEM campaigns, it is important to understand and quantify the influencers of ROI.

The Two Extreme Optimization Strategies

There are two types of strategies performance marketers consistently use as their campaign optimization strategy:
1)    Optimizing To A CTR Goal
One of the main factors influencing Quality Score (QS) is CTR, which affects your cost-per-click (CPC) and in turn affects your ROI. An increase in QS due to a boost in CTR would lower CPC and improve ROI.

2)  Optimizing To An ROI Goal (Revenue-Per-Click & Cost-Per-Click)
Direct optimization to revenue or a conversion metric is a common strategy amongst performance marketers. Making sure an intelligent bid management is in use will be crucial to your campaign’s success.

While perhaps no marketer purely optimizes to CTR or ROI, they tend to skew towards one of these camps. Each method has its pros and cons. A CTR strategy will get you more clicks but does not guarantee the highest ROI. A purely ROI approach will get you the highest ROI but you potentially lose out on customers early in the sales funnel who might eventually convert.

ROI Breakdown

ROI equals Revenue-Per-Click (RPC) over Cost-Per-Click (CPC). Data analyzed from over two dozen advertisers using econometric methods (a simplified version of the equation is shown below) shows that 34% of ROI is influenced by RPC and 66% by CPC.
Bid management is by far the most important influencer of ROI. Forty-nine percent (49%) of ROI is influenced by bid management, 13% by other factors (i.e., marketplace, seasonality, etc.), and 4% by CTR. The data show the importance of having an intelligent bid management strategy in place for your SEM campaigns. But, does this mean a CTR maximizing strategy is a wasted effort?

A Deeper Dive Into The Relationship Between ROI & CTR

Previous studies have looked at the relationship between CTR & ROI by purely relying on correlations. A correlation analysis alone cannot determine the effects of CTR on ROI, and a more robust statistical technique is required to answer that question. These techniques enable us to control for all the factors that can potentially influence ROI.
From the chart below, we do see a relationship between the CTR & ROI — but not a very strong one.


Applying statistical modeling techniques will allow us to quantify any statistically significant relationship between the two if it exists.
In this model, I control for position, CPC, industry, and bid management differences across the different advertisers in the data in addition to CTR.
The results show that there is a statistically significant relationship between CTR and ROI; but in terms of impact, it’s quite small. For a 10% increase in CTR, expect to see a 1.2% increase in ROI. This means that if you increase your CTR from 10% to 11% for a campaign with an average ROI of $5, the ROI will increase to $5.06 due to the improvements made in CTR.

Key Takeaways For Performance Marketers

• Campaign managers should utilize both strategies above in optimizing their campaigns; main focus should be on ROI but do not completely ignore CTR
• 49% of ROI is influenced by bid management; intelligent bidding is integral to a campaign’s success
• CTR does have a small but statistically significant impact on ROI; a 10% change in CTR affects ROI by 1.2%

In Summary

Focus on optimizing your SEM campaigns for ROI but keep an eye on CTR. There is no need to purely optimize to CTR as it influences only 4% of ROI; but, it is important to account for it in your longer term strategy and make sure healthy CTR rates are met and maintained.
Intelligent bid management heavily influences ROI and is absolutely necessary to ensure your ROI goals are met.

Google Tablet CPCs Rise 1.7% Above Desktop For First Time [The Search Agency Report]

The Search Agency issued its Q2 State of Paid Search report today, finding that overall impressions were up 19.2 percent across all search engines quarter-over-quarter (QoQ), while overall clicks declined 7.8 percent. Cost-per-click (CPC) rose across all devices.
This marks the first quarter The Search Agency has seen tablet CPCs outpace those of desktops on Google. Tablet CPCs rose 26 percent QoQ, coming in 1.7 percent higher than desktops.

Overall tablet clicks dropped 8 percent QoQ. Year-over-year, however, tablet clicks were up 62 percent. Bing continued it growth on tablets, increasing its share of clicks from 8.7 percent in Q1 to 10.9 percent in Q2.
Smartphone were the only device segment to see an increase in clicks QoQ, with a slight uptick of 1.6%. Smartphone ad spend leaped 25 percent for the quarter.
CPCs Rise Across Search Engines
Overall cost-per-click increased 17.3 percent QoQ and 10 percent YoY.
On Google, CPCs showed an increase across every type of device QoQ,  with the largest increase coming on tablets at 26 percent. Bing’s average CPC increased 18.9 percent YoY and remained relatively flat QoQ.

The Impact Of Enhanced Campaigns 

While reports from RKG and Covario concluded that enhanced campaigns have had little impact so far on CPCs, The Search Agency finds otherwise. The report says, “The rise in marketplace competition caused a spike in CPCs during Q2″.
The report also suggests that enhanced campaigns played a role in the relative decline in clicks QoQ compared to impressions: Declining CTR “may indicate a shift in matching or query mapping changes at the search engine level.” Google impressions rose 21.4 percent while clicks fell off 7.1 percent QoQ.
CTR dropped sharply in Google from last quarter — from 3.46 percent to 2.66 percent. However, it looks more like there was a spike in Q1.

Though less dramatic, Bing also saw click declines. Bing impressions rose 15.6 percent while clicks dropped 4.1 percent QoQ. Bing also saw an increase in CTR in Q1 and dropped back closer to Q4 levels last quarter.
Overall CTRs fell across devices in Q2. Desktop was off 22.6 percent QoQ, though just 3.9 percent YoY. Smartphone CTR fell 18.6 percent QoQ and 16.5 percent YoY. And Tablets saw the biggest QoQ drop, falling 21.1 percent, and 15.1 percent YoY.
Desktop Losing Share of Spend 
The Search Agency found desktop share of spend continued to fall, coming under 75 percent for the first time this quarter. Desktop 74.5 percent share of spend marks a 12.5 percent drop YoY and 2.5 percent dip QoQ.
Smartphone share of spend has risen 70.4 percent YoY and 12 percent QoQ. While tablets have increased their share of spend by 74.7 percent YOY and 4.2 percent QoQ.

Mobile Efficiencies Still High On Bing

While Google CPC efficiencies compared to desktop are falling for both smartphones (11.3 percent down from 14.1 percent in Q1) and tablets (now 1.7 percent higher than desktops), there are still sizeable discounts on Bing. Bing smartphone CPCs were 28.3 percent lower than desktop in Q2 (way up from 16 percent in Q1), and Bing tablet CPCs are off 7.7 percent compared to desktops. That’s up from 5.2 percent in Q1.
The Search Agency sees device adoption on Bing continuing to grow and suggests there is a particularly strong opportunity to add tablet campaign on Bing. Overall they suggest adopting a consistent mobile strategy to better understand consumer search behavior and increasing clickshare on tablets and smartphones.