Big Data and big data analytics have been helping marketing managers in their decision-making for a long time. But now, Big Data can help us make a great leap in the effectiveness of our digital marketing.
Thanks to data analysis professionals, a great theoretical and practical base has been created that digital marketing professionals can now take advantage of to improve each of the processes carried out in a digital strategy.
Big Data at the service of companies of all sizes
A few years ago, big data analysis was expensive and only accessible to large companies. Today, thanks to the improvement and access to employment database Big Data and data analysis tools, it is much cheaper and more accessible.
With the arrival of Big Data Marketing, all companies, regardless of their size, can benefit from data analysis.
The use of learning algorithms is no longer only within the reach of companies with large budgets. Small and medium-sized businesses can begin to grow thanks to the analyses and processes that arise from data studies.
Data analysis for web positioning
SEO positioning is one of the aspects of marketing how to use automation in b2b sales that can benefit the most from Big Data. In addition to helping us recognize market trends and new keywords that represent business opportunities, we can know the quality of our texts with NLP analysis ( Natural Language Processing ), a discipline of artificial intelligence that can support us in the creation and improvement of our texts.
In addition, we will be able to connect tools such as Python, or RStudio to process the data that comes to us from the Analytics APIs, or the Google Console .
Thus being able to process the data that we receive
From the APIs of these Google platforms can give us a cheap solution and a competitive advantage over our clients.
We will be able to take data directly from Google, create relationships and make decisions ahead of our competition.
A great leap forward in the control of our campaigns
Big Data Marketing will allow us to download cell phone number the performance of our campaigns in real time . We will be able to create information panels where we compare acquisition costs and company costs to make decisions based on individual profitability.
We will be able to see at a glance which products are escaping our profitability limits . We will also be able to automate bids based on given parameters.
Cluster analysis, segmentations that help us increase sales
With cluster analysis together with marketing automation tools such as Connectif , we are able to analyze consumer behavior and show at all times what increases our conversion rate.
If we are able to identify behavioral patterns and automate actions, our conversion rate will increase greatly.
New automation tools , together with Big Data, are the perfect complement to e-commerce. If we are able to find groups of users with similar behaviors, we will be able to offer a much more tailored offer to each user, thus achieving an increase in sales and user satisfaction .
Increasing conversion rates with associative analysis
Detecting how two or more variables are related through. Algorithms helps us better understand our users and their behavior on our website.
With relationship analysis we will be able to identify when. Some events occur together , and thus, we will be able to identify that the purchase of one product is usually accompanied by the purchase of another.
These association analyses usually lead to an increase in the shopping basket , and therefore an increase in the website’s conversion rate.
Sentiment analysis in social networks
Sentiment analysis using artificial intelligence tools is essential to maintaining a brand’s reputation. But above all, it is an analysis that can help the company improve in every aspect of its business.
Users’ concerns, annoyances and complaints are one of. Monitoring and sentiment analysis using Big Data techniques can alert us to company problems that we had not detected.
Panels Dashboards and Graphical Analysis
One of the tools that data analysis relies on the most is graphical analysis . Through graphics we will be able to represent the data in the simplest way to help us in decision making.
Information displayed in a graphical form helps us understand relationships. This way, we can make decisions based on data and with a greater probability of success.