The marketing industry has always been among the pioneers of innovations. Artificial intelligence, Big data, and data intelligence have been fuelling the best marketing analytics companies for years. According to Statista, the growth of AI in marketing spiked in 2020, accounting for a 50% YoY growth.
According to another source, 85% of marketers using AI marketing analytics rely on it as the main revenue enabler. Moreover, 80% of respondents have either thought of or are planning to adopt artificial intelligence.
It also means that AI analytics has become a priority for marketers.
Today, we’ll have a look at the top marketing data analytics companies that have been staying at the edge of innovation. We’ll also look under the hood of automated marketing which is a foundation for analytics-based campaigns.
Best marketing analytics companies of 2022
What is marketing analytics?
Put simply, marketing analytics is a data-driven approach to marketing and sales. From a technical perspective, it’s a process of collecting, analyzing, and interpreting data related to marketing. The ultimate goal is to measure the results of marketing efforts, identify trends in the data, and optimize future marketing campaigns.
The pillars of intelligent marketing
Marketing analytics comes into market intelligence. The latter promotes a data-driven approach to marketing that specifically targets and adapts to the needs of individual customers. It does this by gathering data about customers’ preferences and behavior over time and then using that data to personalize interactions and create more relevant content.
From a technical perspective, analyzing customer behavior is initiated through the power of Big data, machine learning, and smart marketing solutions.
Big data and analytics
Big data is an indispensable component of all automated decisions. For marketers, this phenomenon is the main consequence of the new marketing landscape, induced by the digital shopping trend. In 2020, over two billion customers made online purchases. The same year, e-retail sales surpassed $4.2 trillion worldwide, generating more data than ever before.
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Therefore, Big data is unavoidable for companies and is an important asset once analyzed. According to 52% of executives, a custom data analytics system with a data-driven marketing strategy is what allows them to yield a superior customer experience.
Artificial intelligence and machine learning
All Big data should be put to good use. Machine learning algorithms help comb through massive amounts of information and generate a concise view of all insights. They also highlight customer and market trends, predict behaviors, and build a comprehensive customer persona.
AI platform solutions
Smart marketing platforms then Integrate AI, predictive analytics, and customer data in an all-in-one solution. This way, experts have a central platform for managing the expansive amounts of data being collected. The same tools can assist companies in content generation, campaign management, sales forecasts, and others by combining data insights and predictive analysis.
What are the benefits of using AI in marketing?
Big data and artificial intelligence are the two hallmarks of data-driven marketing initiatives. While the former carries crucial customer insights, AI algorithms are what pick the wheat from the chaff.
Let’s have a deeper look at the difference Big data and AI make for targeted campaigns.
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Integrated view of customer data
Marketing teams tend to get snowed under the hoards of software and platforms. As a result, actionable data ends up dispersed in different places with little to no accessibility for other team members. Smart analytical systems, on the contrary, make data reachable by establishing a single source of truth. They combine and cross-analyze data from all marketings and make it report-ready for further usage.
Optimized campaigns
Although campaign blunders may vary by company, the reasons behind them are similar. Inaccurate timing, targeting, or stimulus are among the most common failure reasons. Data governance and artificial intelligence turn batch-and-blast marketing efforts into granular offerings with high value and relevance.
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By using propensity scoring and lookalike audiences, marketers can calibrate their creatives to target the right audience at the right time. Predictive recommendations further polish the message and pick the ace of aces for that one customer.
Increased return on ad spend
AI-powered marketing tools also enable companies to avail of real-time ad buying, selling, and placement. For example, AI systems can be used to identify which channels and publishers are most effective in driving sales or leads.
Personalized content
As digital channels and platforms continue to evolve, marketers are looking for ways to more effectively reach and engage their customers. One way that AI can help is by providing a more personalized experience for each individual. By studying past behaviors and interactions, machine learning can help identify trends and preferences, then use that information to create marketing content that is most likely to be successful.
Visualized customer journeys
Artificial intelligence can help in understanding customer behavior and their journey on the website, app, and others. Thus, powerful analytics tools can automatically surface the elements causing customer abandonment. Smart digital mapping also helps develop a thorough understanding of seasonal behavior changes.
These insights can then bolster more intelligent supplies and marketing creatives. Google Ads Insights, for example, combine machine learning technology with past seasonal search trends to foresee emerging search interest over the next six months.
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Trend awareness
In a world where technology is ever-changing, businesses need to stay ahead of the curve. Artificial intelligence can process large amounts of data much faster than humans can. In this case, trend predictions are based on a blend of historical and real-time selling data.
What is the future of AI marketing analytics?
As artificial intelligence begins to play an ever-larger role in marketing, businesses are starting to realize its huge potential in improving marketing campaigns and analytics. Currently, AI is being used for a variety of tasks such as content creation, customer segmentation, and lead scoring.
However, its potential uses are far from exhausted. In the future, AI will likely be used for even more complex tasks such as predictive modeling and real-time personalization. Ultimately, consumers will be able to receive personalized offerings as they browse and shop. Companies using marketing analytics will stay at the forefront of innovation and be able to optimize customer journeys and click paths to yield increased sales and customer base.
Unlock success with AI marketing analytics
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