7 Best Artificial Intelligence Tools to Optimize Facebook Ads Campaigns
However, very few achieve the results they would like. In fact, Weebly claims that at least 62% of small businesses are not achieving the goals they want with their Facebook campaigns.
But optimizing a campaign on Facebook is no longer a matter of luck. In this article, we are going to reveal seven tools that can help you maximize your campaign budget. And if you want to go further and improve all areas of your business with Artificial Intelligence, you can download this eBook where we analyze the 7 best AI tools.
But first, and just for being here and spending a few minutes, we want you to discover the most current marketing and sales methodology. Put the customer at the center of your strategy. And combine Ecommerce, Funnels, and Mobile Apps to make your business grow.
The fall of organic traffic on Facebook Ads
In recent years, Facebook’s organic traffic has seen a sharp decline. This plummet originated in 2012 when Facebook began introducing promoted content.
Only between 2013 and 2015, the scope of organic traffic was halved going from 12.05% to 6.15%. And over the years, appearing in the “Latest News” section and getting a good reach through organic content has become more and more complicated.
In 2012, Facebook itself stated that marketers should prepare because one day the reach achieved through organic traffic would be zero. Why? Mainly for two reasons:
- Too much content is posted on Facebook, which makes visibility in the Breaking News section an area of increased competition.
- Facebook tries to show users the posts that are most relevant to them instead of delivering all the available content to them.
Artificial Intelligence and the Facebook Ads algorithm
Facebook’s current algorithm has little to do with that of a few years ago. Now the algorithm is much more complex and uses AI – specifically machine learning or machine learning in English – to help users connect with other users and not so much in order to consume content in isolation.
For this reason, the algorithm rewards content that achieves greater user interaction by giving it a small boost, that is, showing it more. It is also able to analyze whether or not users click on a post before they like it and even interpret user comments.
What does the latter mean? What if a user comments on content with a “congratulations”, the new algorithm is able to understand that that user liked that particular content and stores this valuable information in its database.
Also Read: What are Google Featured Snippets
How does the new algorithm affect agencies and advertisers?
Businesses face different challenges when it comes to Facebook Ads:
They can’t rely on the reach of organic traffic because, as we’ve seen, it’s practically no longer working.
They have a limited budget with which they have to maximize results.
Unless the Digital Marketing agency is highly specialized in a specific sector, it usually has clients from different sectors and, as they do not know all their audiences in-depth, they may have added difficulties when it comes to achieving results with some campaigns. of Facebook Ads.
In this sense, for example, if the audience is very wide, a company can invest part of its budget in reaching people who are not really interested in the product or service that is covered in the ad, obtaining, as a result, a click-through rate low and few conversions. While if the audience is very specific, the campaign in question may not get many impressions and, therefore, the expected results are not achieved.
If to all this we add that now the objective of Facebook is not simply to match the content of the News Feed with what a user will find most interesting, but also tries to show content that maximizes the opportunity for social connections between users, the situation of advertisers becomes even more critical.
In Facebook Ads, it is not enough to define the budget, select the product or service that you want to promote, write any copy and select a powerful image from the gallery. This is not how you get results. The audience needs to be clearly defined, the creativity carefully crafted, and the message compelling. It is not an easy task and sometimes there is no other choice but to try and try.
But companies do not have money or time to spare, and this is the reason why many companies that want to achieve better results are adopting AI to optimize their Facebook Ads campaigns in the shortest possible time.
AI tools to improve the results of Facebook Ads campaigns
Next, we are going to see seven smart tools that improve Facebook Ads campaigns by helping to optimize one or more of these points:
- Advertising texts (copies)
Datasine has created a new platform called Pomegranate that combines psychology with machine learning and allows companies to personalize their messages to the maximum.
How does it work? This tool allows you to personalize content based on the specific personality traits of each audience thanks to the use of artificial intelligence. Applied to Facebook Ads, this tool allows you to find the best image and the most appropriate copy for a specific audience.
For example, let’s imagine a company believes it knows its audience and senses that it is an audience that likes dogs. Instead of assuming that they will like the images where this animal appears more, you can contrast it with data using this tool.
To test this tool and see if it was able to predict the interaction of a specific audience with certain content, the Datasine company uploaded six different images to the Pomegranate platform. The artificial intelligence of the tool divides each image into different labels that contain information about each photo and matches them with the specific data it has on a specific audience.
After analyzing Pomegranate, the six images, and ranking them from most to least attractive, a test was carried out on Facebook to see what the real behavior of the audience was. Indeed, the images that had been selected as the most attractive by the tool were those that achieved the best performance.
This Facebook Ads campaign optimization tool is particularly useful to define a better segmentation of the campaigns as well as to carry out A / B tests.
It has a function that reports the results of each campaign in a unified way and allows you to quickly compare the scope and cost per conversion of each of them.
Adext is an AI tool that optimizes both Facebook Ads and Google Ads campaigns. How does it work? Their machine learning models run thousands of simulations to find the most receptive audience for specific ads.
It automatically updates the budget so it helps agencies increase conversions without having to experiment and spend part of their clients’ budget to learn what does not work.
This smart tool can achieve an average increase in conversions of more than 500% and – unlike other artificial intelligence platforms that require “mincing” a lot of data by hand – Adext only takes five minutes to connect to Facebook Ads or Google Ads And then the AI begins to collect data.
For companies using the Slack messaging service, this can be an extremely interesting tool.
Reveal Bot not only automates and optimizes Facebook Ads and Google Ads campaigns, as do the rest of the tools mentioned, but it also allows you to track campaign data much more easily.
How does it work? Without leaving Slack, the campaign team can stay up-to-date on how ads are performing and understand reach, impressions, clicks, and determine if these metrics have improved or decreased over a specified period of time.
This tool is somewhat expensive but it can be useful for companies that need to launch many campaigns on Facebook Ads but do not have a powerful design department.
Creadits helps designers and, in general, any Marketing expert to create an inventory of creatives that work for each audience niche. Using AI, it is able to analyze and classify each creative with up to 87% accuracy.
Another strong point of this tool is that – when it detects that an ad that worked well is ceasing to give good results and that the acquisition cost is increasing – it automatically replaces the ad with a similar one.
This platform uses artificial intelligence to optimize and scale campaigns based on hyper-personalization.
Among other functions, it allows an automatic division of the audience, offers different versions of the image, title and text to find the perfect combination, and carries out automatic ad management (starts or stops campaigns, detects duplicate ads, modifies budgets, and modify the budget according to the results).
This tool can have several different uses but it is very useful for analyzing Facebook comment opinions. A company can use this tool to analyze the positive and negative feelings left by users so that it can identify the weak points of its product or service and can therefore improve Facebook campaigns.
MonkeyLearn allows you to work with CSV / Excel files and connects to other applications through direct integrations, Zapier, or the Facebook API itself. Likewise, it is capable of interpreting information that comes from different formats such as emails, reviews, NPS comments, surveys, social media posts, and comments.
Artificial Intelligence applied to Facebook Ads
As we have seen, Artificial Intelligence can be a great ally when it comes to optimizing advertising campaigns on Facebook Ads. Thanks to this technology, Marketing experts can now learn about unknown traits of a specific audience, design creatives that work better, simplify campaign review processes, forget about readjusting budgets, not waste time checking for stopped or duplicated campaigns.
In the coming months, more advanced tools will continue to appear that will open up new possibilities for professionals in the sector and allow companies to optimize Facebook Ads campaigns to the highest level.