Tips for Creating the Perfect Native Ad
Posted: Tue Jan 28, 2025 7:10 am
There is no need to attract attention with an original video . Native advertising should not look like an obvious PR material, so all types of provocation are excluded. There will be clicks on such content, but the efficiency of visits will be low. In this case, financial expenses will be in vain. In native content, you need to share materials that are useful for the audience. For example, you can unobtrusively lead to the idea of purchasing a product without offering to buy it.
Don't try to make your headlines physical therapist email list intriguing and selling . It will be much more effective to talk about the benefits of your material.
Create content in the form of life hacks , useful solutions, working cases, etc. For example, “5 proven methods for monetizing website traffic” or “Rating of programs for web designers”.
Choose appropriate images for your text - large objects and simple images without numbers or inscriptions.
Don't invite them straight to the landing page . Make meaningful informational material that is useful to the audience. This will help create the right mood.
Native Advertising Network Selection Criteria
Targeting . The more parameters there are in its settings, the more accurate the ad impressions will be. Some services, for example, "Adyulike", use machine learning technology to select the target audience. This helps to choose the right viewers.
Geography of coverage . When choosing a network for your native, you need to consider the geolocation in which the service operates. Tabula, for example, interacts with an English-speaking audience, while LuckyAds and Target interact with a Russian one.
Limitations . Native networks do not host any ads. Usually, the requirements for them are written on the website. For example, not all services accept adult content and cryptocurrency.
Price and payment methods . Native content is not very clickable, and CTR is usually low. In this regard, the payment for impressions option brings less profit than for clicks. Therefore, it will be more effective to start with the latter model. And when there are many clicks, you can add payment for impressions.
Assessing the effectiveness of native advertising
Remember that native advertising is a tool that does not produce results immediately. After the campaign starts, you need to wait about a month to get objective statistics and draw a conclusion about its effectiveness.
Assessing the effectiveness of native advertising
The difficulty is that there are no clear performance indicators for native content. They will depend on your goals. All advertising networks have their own set of metric analysis.
Key metrics :
Reading rates - what percentage of the audience watched your material in full;
engagement - statistics of activity under a native post (number of views, likes, reposts and comments);
the number of clicks on your company's page or the number of completed target actions (purchase of goods, order of services, filling out a feedback form, etc.).
A simple way to find out how visitors react to your ad is a UTM tag for an article, a link to a page preceding a commercial one, or a promo code. If you have end-to-end analytics set up, this will allow you to track the path of the target audience: personal data, how they got to the landing page, what they visited before, where they went next.
Don't try to make your headlines physical therapist email list intriguing and selling . It will be much more effective to talk about the benefits of your material.
Create content in the form of life hacks , useful solutions, working cases, etc. For example, “5 proven methods for monetizing website traffic” or “Rating of programs for web designers”.
Choose appropriate images for your text - large objects and simple images without numbers or inscriptions.
Don't invite them straight to the landing page . Make meaningful informational material that is useful to the audience. This will help create the right mood.
Native Advertising Network Selection Criteria
Targeting . The more parameters there are in its settings, the more accurate the ad impressions will be. Some services, for example, "Adyulike", use machine learning technology to select the target audience. This helps to choose the right viewers.
Geography of coverage . When choosing a network for your native, you need to consider the geolocation in which the service operates. Tabula, for example, interacts with an English-speaking audience, while LuckyAds and Target interact with a Russian one.
Limitations . Native networks do not host any ads. Usually, the requirements for them are written on the website. For example, not all services accept adult content and cryptocurrency.
Price and payment methods . Native content is not very clickable, and CTR is usually low. In this regard, the payment for impressions option brings less profit than for clicks. Therefore, it will be more effective to start with the latter model. And when there are many clicks, you can add payment for impressions.
Assessing the effectiveness of native advertising
Remember that native advertising is a tool that does not produce results immediately. After the campaign starts, you need to wait about a month to get objective statistics and draw a conclusion about its effectiveness.
Assessing the effectiveness of native advertising
The difficulty is that there are no clear performance indicators for native content. They will depend on your goals. All advertising networks have their own set of metric analysis.
Key metrics :
Reading rates - what percentage of the audience watched your material in full;
engagement - statistics of activity under a native post (number of views, likes, reposts and comments);
the number of clicks on your company's page or the number of completed target actions (purchase of goods, order of services, filling out a feedback form, etc.).
A simple way to find out how visitors react to your ad is a UTM tag for an article, a link to a page preceding a commercial one, or a promo code. If you have end-to-end analytics set up, this will allow you to track the path of the target audience: personal data, how they got to the landing page, what they visited before, where they went next.