How Business Intelligence can Boost Your Digital Marketing

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Business Intelligence Boost Digital Marketing

The digital era is continuously evolving with the power of data-driven, business intelligence applications, and resources such as social media platforms, search engine etc.

Today’s market has become consumer-centric where consumer research for their product before buying it. The digital world is on the verge of trending revolutionary technologies like artificial intelligence, machine learning, big data analytics etc. Here companies are adopting smart technologies to make intelligent moves to attain good customer service.

What is Business Intelligence?

Business Intelligence (BI) is a technology-oriented process of collecting and analyzing business data. The insights collected from processing this information helps organizations in accurate decision making. The advanced BI tools introduced in the market can process a huge amount of information in seconds and present full actionable reports.

The social media and search engine are the caterpillar of the digital marketing strategies for companies. The amount of data generated from these sources has increased drastically making BI process and make smart decisions.

Know Your Customer

BI presents a complete view of your consumers. Even advanced BI tools provide insights into consumer behavior for driving force to your marketing strategy. The data collected from them is used to get the information about a customer.

Social media platforms provide data in the form of comments, posts, shares, likes etc., collected from various social websites. Brands can recognize customer’s need, likes or dislikes, comparisons, engagement etc., Companies can examine brands data to know about customer’s conversation about the brands.  The BI tools have the capability to perform sentiment analysis to demographic insights like operations.

With analytics, businesses can examine the overall traffic on their website. They can also check region, a page with the highest traffic, mode of reachability etc. Organizations can use the keywords which can generate high traffic. Using these keywords, more visitors can be attracted to the website.

Real-Time Analytics

The data flowing through the internet changes every week, even every day. There is a need for real-time data to provide fresh data for your marketing campaigns. Analyzing data in real-time empowers your marketing performance by eliminating extra upfront costs. You can join Big Data Hadoop Training to learn to build visualization, organizing data, and optimizing your work according to qualified data. Here, you will also understand how to correlate data with your business strategy. It will allow you to perform analysis on unstructured data emerged from your business.

Marketers can leverage real-time data analytics to monitor all marketing channels. They can share products on various media platforms and decide where to spend more or less. Also, companies can respond to their customer query in real-time. According to a report, 52 percent of customers want a quick reply to their feedback or other made queries.

The involvement of AI in CRM tools help employees to serve as a virtual assistants making them more productive. It can automate consumer response, data, follow ups, activities, emails etc. AI enabled CRM tools improve segmentation, customize and prioritize hot leads.

Email Marketing

Companies are using AI to design desired email marketing campaigns according to personalized user behaviors. Thus, they can connect to more people and convert them into a qualified lead. ML algorithms analyze customer’s data and tell about which time of the week is best to contact them. It also provides data like which kind of content attracts them most, which kind of title clicked most time. All these matrices are necessary to launch an effective email marketing campaign.

User Searches

The traditional way of making internet search has gone so long. The latest searching model inherits dual behavior: Voice-based search and RankBrain. Yes, AI has also enhanced the traditional search engine optimization and search methods. The introduction of automated products like Amazon Echo, Alexa, Siri, Cortana, Google Home etc., allows people to make the voice-based search.

According to Google, 70 percent of the searches made with Google are in a natural, conversational tone. It merely contains any typical keywords. Google ML algorithm called as RankBrain, used to perform relevant search operation. The voice command is interpreted to provide results to the user according to language or context. A company which has experience in dealing with voice searches can maintain its organic traffic very efficiently.

Predictive Analytics

The predictive analysis uses computational, statistical algorithms, ML techniques to conclude the future outcomes from the collected information. Predictive analysis is already providing force to various industrial operations. Its impact can be also observed in marketing. These ML models predict for the possibility of a prospect to become a customer. It also allows them to decide prices and discount on their product. Predictive models are best for good quality data, if your data is not that effective, you will not achieve desired results.

Thus, BI application will enhance the marketers planning to the delivery level of works. A big thanks to data for assisting organizations in straight-forward thinking and accurate decision making.

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