By Jim Desroches
Head of Native Advertising
This is a sponsored post from Adcash
It’s important to look at how can advertisers scale their native advertising campaigns and achieve the same results with less time spent on manual optimization.
There’s no way that you still haven’t heard about the term native advertising. The ad format that is set to take over the advertising industry with an estimated ad revenue comprisal of 74% by 2021 (TechBullion).
However, with this future growth, it’s important to look at how can advertisers scale their native advertising campaigns and achieve the same results with less time spent on manual optimization.
We all know how time-consuming it is to manage ad campaigns on a monthly, weekly and in most cases on a daily basis. There are so many things you can tinker to optimize your campaigns to ensure that every dollar you spend is well spent.
Also, it isn’t easy to comply with ad regulations and constantly growing competition while maintaining an effective native ad strategy that would keep the user engaged.
That’s something that might be difficult to accomplish when working on your own and advertising platforms with cutting-edge technologies might be an answer to this.
Who wouldn’t want to set up a campaign and have them automatically optimized? Let’s find out more about how this can be achieved …
The digital advertising market has seen many new players entering the market to provide the advertisers with different campaign management tools.
These sites are hugely useful because they allow connecting multiple accounts from different websites in one place. Which means that advertisers can use different advertising networks but still optimize them in one place. That way all the campaigns’ optimization is always intact since those technologies are not offered on all advertising networks.
Technology is redefining the native advertising industry and, frankly, that comes as no surprise.
Machine learning is shaping the native industry
Technology is redefining the native advertising industry and, frankly, that comes as no surprise. Some advertising platforms that work with native ads are already using machine learning as part of their offerings.
Adcash Performance DSP+ is a powerful all-in-one programmatic self-service media buying platform for digital advertisers, media buyers and ad networks worldwide. We are known for our precise targeting and automated optimization features that ensure a measurably effective product and content promotion.
Our platform also allows you to create highly customized native ads that are so sublime you can’t even tell that you’re looking at a sponsored content.
Us and other platforms like ours use machine learning-driven prediction algorithms to optimize ad serving, using past data to improve things like timing and placement.
These type of platforms stand out in this industry because they are one of the few companies to own and employ machine learning in various areas, including optimizing for automated bidding to deliver the best results for their advertisers.
AI and technology also make it super easy for advertisers to scale their campaigns especially when working with demand-side platforms (DSPs).
- User targeting. Machine learning can help advertisers to reach their ideal audience. Rather than displaying an ad about beauty tips to all website users, machine learning could selectively display ad to people who are likely to be interested in beauty related products. That way advertisers will not spend their budget on irrelevant impressions and clicks.
- Ad serving optimization. Machine learning can also help maximize the value and ROI of each ad, and/or improve placement for publishers by selecting the most cost-efficient ads to place and improving their loading times.
- Real-time automatic optimization. The platform’s algorithms analyze visitors’ behavior in order to optimize the campaign on the fly. The advanced technology automatically optimizes the bids to find the best traffic sources that will convert for the specific campaign.
AI and technology also make it super easy for advertisers to scale their campaigns especially when working with demand-side platforms (DSPs). Advertisers have access to huge digital advertising inventory and they can manage multiple supply sources at the same time through a single interface.
It is, however, of utmost importance that advertisers wouldn’t forget to be creative. Because using an awesome media-buying platform will help you display your ads in the right place at the right time. Yet it will not make up for mundane and repetitive ads.
Advertisers have to bear in mind that constantly updating your campaigns’ creatives and texts and even rotating them will help to generate a higher engagement and better results.
Native ads are a chance to tell a story to your users, just in a slightly different form.
The ultimate recipe for native success
AI is already driving the future of native ads, and it’s only going to become more important from here. Forget about manual optimization and work with advertising platforms who do the heavy lifting for you by using the most advanced technology.
This way there’s more time to create highly impressive native ads to boost the ad revenue by focusing on what your ads are going to look like and what you wish to communicate.
Because native ads are a chance to tell a story to your users, just in a slightly different form.
This is a sponsored post from Adcash