With today’s targeting capabilities in CPM advertising advertisers can now target and optimize the following key metrics in their CPV advertising campaign to make it profitable.
In the top ad networks targeting industry is one of many CPM target add types available in paid traffic for your Pay Per Impression Campaign – including but not limited to:
Demographic Targeting in CPV marketing like age, language, profession, gender, etc.
For mass-market consumer packaged goods, demographic targeting is usually the best option for meeting both awareness and persuasion goals. It is less likely to be useful for other types of categories, except when specific products are used primarily by a particular demographic.
Geographic Targeting in traffic network ads:
country, state, city and exact geo-location on mobile (important in mobile advertising for local business advertising)
Device Type Targeting – essential for banner advertising
Banners have different sizes. Not all fit on the small screen of a mobile device.
- Desktop Advertising
- Mobile Advertising
- Tablet Advertising
All mobile ad networks normally have this distinction in their campaign settings.
Android, Internet Explorer, Firefox, Chrome, Safari, etc.. Depending on your target audience in your web advertising this might become important.
Operating System Targeting: IOS, Windows, MacOS, Linux, Android, MAC OS, BlackBerry OS, etc.
Let’s assume one of your traffic sources doesn’t let you do device targeting but you want to target iPhones and iPads. You can then do so by setting your targeting options to IOS.
Brand Targeting: Samsung, Blackberry, Apple iPhone, BenQ, Dell, Motorola, HP, Asus, Lenovo, etc.
In online advertising it is a proven fact that e.g. iPhone owners appear to have a higher purchasing power than let’s say an Android user. Depending on your price points being able to exclude one or the other can have a massive impact on your conversions and ROI of your paid traffic campaign.
Attitudinal Targeting like interests and values
Behavioral Targeting like surfing- and search-behavior
Behavioral targeting is not a particularly relevant option for mass-market consumer packaged goods, but can be very effective for specialized products. Behavioral targeting is often useful when appropriate contextual inventory is sold out or considered too expensive. Targeting based on search behavior can be particularly helpful for tech products, such as consumer electronics, or categories where good contextual sites are rare.
Targeting of Inferred interests
e.g., car enthusiasts
Predicted response Targeting
e.g., likely to click on car ads
e.g., car activity in past 30 minutes
Contextual Targeting in CPV marketing on site-level, on section-level or on content-level
For durable goods and services, contextual targeting can help increase the chances of reaching people who are in the market for a particular product. However, appropriate contextual sites may be hard to find for some categories such as telecommunications. In those cases, blogs might provide the most relevant setting.
Technographic Targeting: mobile carrier, connection type, Internet Service Provider (ISP), IP address ranges
targeting industry when you buy website traffic from an ad network
Targeting this metric will help you even more to laser-target your audience. The more targeting features the better.
CPV marketing campaign optimization:
The ideal of targeting every message perfectly, let’s consider the possibilities of combining various targeting techniques. Advertisers can run two or more tactics alongside one another.
A website owners or advertiser looks at a few metrics when it comes to CPM advertising and targeting industry.
- The first is the CTR [click-through ratio]. A CTR is determined by the percentage of people that saw the ad and then actually clicked on the ad. If your ad is seen by 1,000 people and 10 people click, that is a 1 percent CTR.”
- The second is the CPV [cost per view]. Self explanatory. This metric reflects the cost per view which you can directly compare to
- the third, which is EPV [earnings per view].
You will need a tracker to sort your campaign data collected for being able to evaluate it by comparing these metrics CPV and EPV directly.
CPM Rates are subject to change in any Pay Per Impression campaign depending on the metrics chosen.
Furthermore a CPM network may offer you the option of using
- Run of network (actually a type of non-targeting). Creating a RON campaign is the quickest way to get all the available traffic from a specific country. There are no keywords, or specific targets involved. Simply choose your geo, destination URL, bid and your campaign is ready to go.
- Retargeting (for sequencing ads or for reconnecting with site visitors)
- Day-parting allows you to set the time window in which you want your CPM ads to be served and seen by your target audience.
- Smart CPM bidding in real time.
Understanding the PPV Audience
Click-through rate (CTR) is the ratio of users who click on a specific link to the number of total users who view a page, email, or advertisement. It is commonly used to measure the success of an online advertising campaign for a particular website as well as the effectiveness of email campaigns.
Click-through rates for ad campaigns vary tremendously. The very first online display ad shown for AT&T on the website HotWired in 1994, had a 4485c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc click-through rate. Over time the overall rate users click on webpage banner ads has decreased.
The purpose of click-through rates is to measure the ratio of clicks to impressions of an online ad or email marketing campaign. Generally the higher the CTR the more effective the marketing campaign has been at bringing people to a website. Most commercial websites are designed to elicit some sort of action, whether it be to buy a book, read a news article, watch a music video, or search for a flight. People rarely visit websites with the intention of viewing advertisements, in the same way that few people watch television to view the commercials.
While marketers want to know the reaction of the web visitor, with current technology it is nearly impossible to quantify the emotional reaction to the site and the effect of that site on the firm's brand. However, click-through rate is an easy piece of data to acquire. The click-through rate measures the proportion of visitors who initiated an advertisement that redirected them to another page where they might purchase an item or learn more about a product or service. Forms of interaction with advertisements other than clicking is possible, but rare; "click-through rate" is the most commonly used term to describe the efficacy of an advert.
The click-through rate is the number of times a click is made on the advertisement divided by the total impressions (the number of times an advertisement was served):CTR=Number of click-throughsNumber of impressions×100(85c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc)\displaystyle \textCTR=\textNumber of click-throughs \over \textNumber of impressions\times 100(\85c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc)
The click-through rate of an advertisement is defined as the number of clicks on an ad divided by the number of times the ad is shown (impressions), expressed as a percentage. For example, if a banner ad is delivered 100 times (100 impressions) and receives one click, then the click-through rate for the advertisement would be 185c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc.
Click-through rates for banner ads have decreased over time. When banner ads first started to appear, it was not uncommon to have rates above five percent. They have fallen since then, currently averaging closer to 0.2 or 0.3 percent. In most cases, a 285c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc click-through rate would be considered very successful, though the exact number is hotly debated and would vary depending on the situation. The average click-through rate of 385c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc in the 1990s declined to 2.485c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc–0.485c44a757c1d99481416dfaa0b97e9102e58e03b9c8c880e522f00914f1b62fc by 2002. Since advertisers typically pay more for a high click-through rate, getting many click-throughs with few purchases is undesirable to advertisers. Similarly, by selecting an appropriate advertising site with high affinity (e.g., a movie magazine for a movie advertisement), the same banner can achieve a substantially higher CTR. Though personalized ads, unusual formats, and more obtrusive ads typically result in higher click-through rates than standard banner ads, overly intrusive ads are often avoided by viewers.
Modern online advertising has moved beyond just using banner ads. Popular search engines allow advertisers to display ads in with the search results triggered by a search user. These ads are usually in text format and may include additional links and information like phone numbers, addresses and specific product pages. This additional information moves away from the poor user experience that can be created from intrusive banner ads and provides useful information to the search user, resulting in higher Click-through rates for this format of Pay Per Click Advertising. Having high click-through rate isn't the only goal for an online advertiser who will occasionally develop campaigns to raise awareness and sacrifice click-through rate for the overall gain of valuable traffic.
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly affects the probability that a user will see and click on each ad. This ranking has a strong impact on the revenue the search engine receives from the ads. Further, showing the user an ad that they prefer to click on improves user satisfaction. For these reasons, there is an increasing interest in accurately estimating the click-through rate of ads in a recommender system.
An email click-through rate is defined as the number of recipients who click one or more links in an email and landed on the sender's website, blog, or other desired destination. More simply, email click-through rates represent the number of clicks that your email generated.
Email click-through rate is expressed as a percentage, and calculated by dividing the number of click throughs by the number of tracked message deliveries.
Most email marketers use this metrics along with open rate, bounce rate and other metrics, to understand the effectiveness and success of their email campaign. In general there is no ideal click-through rate. This metric can vary based on the type of email sent, how frequently emails are sent, how the list of recipients is segmented, how relevant the content of the email is to the audience, and many other factors. Even time of day can affect click-through rate. Sunday appears to generate considerably higher click-through rates on average when compared to the rest of the week.
Every year studies and various types of research are conducted to track the overall effectiveness of click-through rates in email marketing.
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