Unlock your true potential with Paid Media AI Optimisation
The best of two worlds
A vital part of running any online advertising campaign is to analyze data and key metrics, and take action at the right time. Doing this manually is a tall order that is both time and resource demanding, but necessary to ensure customer engagement and KPI’s. Luckily, the solution to both ease the workload and improve the ROI is here, thanks to artificial intelligence and machine learning. Our AI optimisation collects historical data, reads the digital ads, measure the performance and finally outputs actionable insights that we or the AI tool implement.
So not only will you see a performance improvement on you Google Adwords, LinkedIn, Facebook etc. but also a more dynamic campaign, adjusting to your target group and helping to predict the customer journey. It’s easy to get started, nothing is needed on your part other than campaign access for our AI tool – it’s that simple 🙂 Get in touch now and step into the future of digital advertising.
Benefits of Paid media AI optimisation
Reduced administrative workload
Effective on all marketing channels
Discovers new opportunities
Eliminates irrelevant ad spend
Improved results from day 1
Boosts conversions, impressions, CTR
Let AI take over
For every day you manage paid media manually, money is lost! Let’s do a free analysis and showcase what your real potential is 👇🏽
What is paid media AI optimisation?
Paid media AI optimisation is the use of artificial intelligence (AI) technology and machine learning to automate and improve the management of paid media campaigns. With AI, we are able to analyse large amounts of data on consumer behaviour, campaign performance, and market trends to make informed decisions about bidding, targeting, and creative optimisation.
AI-powered tools can also automate many of the tasks involved in campaign management and digital advertising. This helps reducing the administrative time and allow for focussing on strategy and creative development of the marketing campaigns.
Machine learning algorithms
One key way that AI improves your paid media strategy is through the use of machine learning algorithms. These algorithms can analyse vast amounts of data and learn from it over time, allowing them to continually improve their predictions and recommendations.
For example, an AI algorithm can analyse the performance of different ad creatives and target audiences to identify which combinations are most effective at driving conversions. As it receives more data and feedback, the algorithm can adjust its recommendations and improve its accuracy. Together with your historical campaign data, artificial intelligence helps to lower the ad spend while increasing the competitive advantage.
Frequent ad adjustments of paid media
Another way that AI improves your paid advertising optimisation is by enabling us to make real time adjustments to your campaigns based on performance data. For example, an AI-powered bidding tool can automatically adjust bids based on the likelihood of a conversion, ensuring that the campaign is always bidding at the optimal level. AI can also identify underperforming ad creatives or targeting strategies and recommend changes to improve their effectiveness. For example, failing to do accurate audience targeting can sidetrack you Google ads or LinkedIn campaign completely.
AI-powered paid media optimisation is also highly scalable, allowing us to manage large, complex campaigns with ease. With AI, we can quickly analyse and optimise campaigns across multiple channels and platforms, ensuring that their ads are reaching the right audiences with the right messaging.
Overall, AI paid media optimisation offers a range of benefits for your organisation, including improved efficiency, accuracy, and scalability. By automating many of the administrative tasks involved in campaign management and providing insights and recommendations, AI enables us to make more informed decisions and optimise your campaigns for maximum ROI. The collected data, machine learning and AI gives you a clear competitive advantage in your paid advertising campaign, and takes your digital marketing to the next level.
Types of paid Media: Paid, Earned, Owned
In the world of digital advertising, there are three main types of media: paid, earned, and owned. Each of these media types has its unique features and understanding them is crucial for businesses that want to develop a comprehensive marketing strategy. Each types requires its own strategy to avoid the paid media efforts are in vain.
Owned media is the content and channels that a company owns and controls, such as its website, blog, and social media profiles.
Earned media, also known as organic media, is the content that is generated by customers, influencers, or the media themselves. This type of media includes reviews, comments, and social media shares.
Lastly, paid media is content that businesses pay to have displayed to a targeted audience, such as online ads, social media promoted posts, and pay-per-click advertising on a search engine.
Paid media is in the marketing spotlight
While each type of media has its advantages, paid media is increasingly important in today’s digital landscape. With so much content available online, it can be challenging for businesses to stand out and reach their target audience. Paid media allows businesses to cut through the noise and reach their ideal customers directly.
AI improves paid advertising
One of the ways that your should make your paid media campaigns more effective is by applying AI technology and machine learning. AI can analyse vast amounts of data on consumer behaviour and preferences to optimise ad targeting, messaging, and bidding strategies. In conclusion, understanding the different types of media and how to leverage them is essential for businesses that want to develop a comprehensive marketing strategy. The collected data helps to improve audience, ad creatives, customer journey and often becomes the ground pillars in marketing campaigns based on online advertising.
What are the pro and cons of using ai paid media optimisation?
Like any technology, there are pros and cons to using artificial intelligence and machine learning in digital marketing. We have compiled a list of the most important pro and cons:
Pros of Paid Media AI Optimisation:
AI can analyse vast amounts of data on consumer behaviour, demographics, and interests to identify the best target audience for a paid media campaign. This ensures that ads are only shown to people who are most likely to be interested in them, increasing the chances of conversions and improving ROI.
Real time optimisation
AI can make adjustments to bids and targeting in real-time based on campaign performance data. This means that campaigns across social media platforms can be optimised more quickly and efficiently than if done manually, leading to better results.
AI can help identify the optimal bid amount for each keyword, ad group, or ad campaign, which can help reduce wasted ad spend and improve ROI. This leads to a more effective paid media strategy.
Automating tasks such as bid management, ad testing, and reporting can free up time for marketers to focus on higher-level tasks such as strategy development and creative production, increasing media exposure.
AI can provide marketers with valuable insights into campaign performance, including which ads are performing well, which keywords are driving conversions, and which audiences are most engaged. This information can be used to inform future campaign decisions and improve overall marketing strategy.
Artificial intelligence and machine learning can understand the logic and clues behind why some ads are more successful than others. This is the case for all types of ads; text ads, image ads, video ads, carousel ads etc.
Cons of Paid Media AI Optimisation:
While AI can ultimately help reduce ad spend and improve ROI, there is an initial investment required to implement and train the system. At Resultsdriven we have invested a great amount of resources in this, so you don’t have to!
Lack of human touch
While AI can optimise campaigns based on data, it may not always take into account the nuances of human behaviour and emotions. It’s important to strike a balance between data-driven optimisation and human creativity. Relying 100% on AI is a risky strategy, and not what we recommend.
Dependence on data quality
The effectiveness of AI depends on the quality and accuracy of the data it is analysing. If the data is incomplete or inaccurate, the AI may make incorrect optimisations.
The inner workings of AI algorithms and machine learning can be complex and difficult to understand, making it challenging for marketers to fully understand how the system is making optimisations. Sometimes results on paid media channels are improving or declining, with no clear reason as to why.
Overall, the benefits of using AI outweigh the potential drawbacks. To maximise the benefits of AI in digital marketing, it is important for marketers to partner with an experienced agency that specialises in this technology and can provide customised solutions tailored to different social media platforms and their specific needs.
Google + AI = Success
Contrary to social media advertising where engagement is created through promoted tweets, social ads, carousel ads and video ads, Google is focused towards paid search ads – intent based advertising. This require a a very different strategy, as we are no longer promoting content in the users news feeds, but must deliver inspiring ad copy directly in search engines such as Google, Bing etc. This present with a unique set of challenges, as we now need to predict the mindset of the user typing in a search query.
Display ads vs search ads
Display ads are visual advertisements that appear on websites across the internet, while search ads are text-based ads that appear when someone searches for a specific term on Google. The key difference between these two formats is their intent. Display ads are designed to raise brand awareness and grab the attention of potential customers, whereas search ads are more targeted and designed to convert those actively looking for a specific product or service. Google ads (previously Google adwords), or paid search is one of the most efficient ways to achieve marketing success, and having a set of ongoing ads running can be a game changer.
Many advertisers use identical or similar ads across a large range of keywords, in hope to boost website clicks or drive traffic to their preferred platform. And it makes sense, since it can be a a task of dimensions similar to David & Goliat to place ads written for all possible intents. The solution to this is AI, which helps us to predict the most common scenarios where it will be profitable to place ads. This helps us to increase conversion rate and success in driving clients and traffic to your business.
Mastering a successful Google campaign is no easy task, and in almost all cases, professional paid media management pays for it self in form of lower Cost Per Action. Do your business a favour and let Resultsdriven and AI manage your next Google campaign and let’s together tell a better story!
Increase brand awareness with Instagram
Instagram, with its massive user base of over one billion active users, is one of the most popular platforms to promote content and drive traffic to landing pages. In many industries the social ads on Instagram are completely vital to drive relevant traffic and generate new leads. And with the help of artificial intelligence (AI), businesses can improve their Instagram advertising campaigns and drive better results. Managed from Facebook Ads manager, the advantages of implementing AI are similar to those of Facebook, with a few extra additions.
Engagement drives engagement across users, and this is a vital part of the platform, but is also true for person to person usage. The more time you spend on viewing stories, liking and comment, the more attention your profile will get. But few companies got the time to spend hours viewing stories, and like multiple images by scrolling throughs 100’s of users feeds.
With AI however, we can support these actions based on the audience we want to attract. Our algorithm replicates the user pattern and create increased attention and drives traffic to your feed. For many of our clients it’s an essential component of the social media strategy, and a big part of their success. Furthermore, artificial intelligence can help us understand what type of paid ads are most successful, video ads, display ads or carousel ads.
AI is the secret weapon for any social media platform
In summary, artificial intelligence has the potential to revolutionise Instagram advertising by improving audience targeting, ads, bidding strategies, engagement, and campaign management. At Resultsdriven, we use AI to help our clients achieve better results from their Instagram advertising campaigns. If you’re interested in learning more about how we can help you improve your Instagram advertising, contact us today.
How to increase revenue growth with AI on LinkedIn
In today’s world, businesses need to take advantage of all available advertising platforms to reach their ideal buyer profile. LinkedIn is a platform that offers unique targeting options, allowing businesses to connect with professionals in specific industries or job roles.
However, advertising on LinkedIn can be challenging, especially for businesses that lack the necessary expertise and experience. A wealth of information on users’ job titles, skills, company size, job functions is available, and can be a labyrinth to navigate. Even when navigated, you need to take into account that not all targeting options are yes/no, but rather yes/perhaps/maybe/sometimes leading to increased spend, outside the desired audience.
Intelligent targeting improves ROI
This is where AI comes in, offering numerous benefits that can improve LinkedIn advertising. AI algorithms can identify the optimal target audience matrix, by analysing all available metrics, and predict what is the most profitable. This allows businesses to focus their spend on the most promising candidates, leading to more higher click through rate and more traffic, ensuring all key performance indicators are met or exceeded.
Another way artificial intelligence can improve LinkedIn advertising is by optimising ad creative based on user behaviour and preferences. AI algorithms can analyse user data to determine the most effective messaging, imagery, and calls to action for each paid placement. This allows businesses to create more compelling ad copy and that resonate with their target audience, increasing the likelihood of clicks and conversions.
By perfecting targeting, bidding, branded content, and campaign management, we can help businesses maximise their LinkedIn ROI and reach their ideal audience. Combining LinkedIn activity with external marketing efforts is something than can enhance the desired KPI’s. Contact us today to learn more about how AI can improve your LinkedIn advertising efforts.
Paid media AI optimisation for Facebook
Artificial intelligence (AI) is transforming the world of social media advertising, and nowhere is this more evident than in Facebook advertising. As one of the largest social media platforms in the world, Facebook provides an enormous opportunity for businesses to reach their target audience and drive conversions. However, as the competition for single ad space on the platform has increased, so too has the need for more sophisticated and efficient targeting and optimisation strategies. This is where AI comes in, providing a range of tools and techniques that can help improve the performance of your Facebook ads. With the assistance of machine learning and a holistic approach we can transform your paid advertising campaigns.
AI improves Facebook paid ads
At Resultsdriven, we offer a range of AI-powered Facebook advertising services that can help your businesses to achieve your marketing goals on this hugely popular platform. From targeting and creative development to bid optimisation and performance measurement, our services are designed to help businesses get the most out of their Facebook advertising campaigns. Here are some of the ways in which we use AI to improve Facebook advertising:
Improved Ad Targeting
AI can analyse vast amounts of data on consumer behaviour and preferences, allowing us to identify the most relevant and effective targeting options for your ads. This includes targeting based on demographic data, interests, behaviours, and even purchasing history. By using AI-powered ad targeting, we improve the ad-relevance, resulting in higher engagement rates and more conversions.
Enhanced Ad Creatives
AI can also be used to optimise the ads, analysing data on consumer preferences and behaviour to determine the most effective messaging, imagery, and calls to action. This allows us to help create ads that are more engaging and persuasive, driving higher click-through and conversion rates.
Automated Bid Optimisation
We use AI to automate the process of bid optimisation, adjusting the cost per click (CPC) of advertising campaigns to maximise ROI. By allowing AI to do the heavy lifting on interpreting the data on campaign performance, consumer behaviour, and market trends, we can spend more time on improving the overall campaign.
Real-Time Performance Measurement
Finally, artificial intelligence helps us provide real-time analytics and insights into campaign performance, and execute data-driven decisions in real-time. This includes monitoring key performance metrics such as click-through rates, conversion rates, and cost per acquisition (CPA), and identifying areas for improvement and optimisation.
In conclusion, AI is transforming the world of Facebook advertising, providing new powerful tools and techniques for improving ad targeting, creative development, bid optimisation, and performance measurement. At Resultsdriven, we are committed to helping our clients leverage the power of AI to achieve their marketing goals and drive real business results through social media ads. Contact us today to learn more about our AI-powered Facebook advertising services.