Data Analysis for B2B Marketers

An overwhelming 92% of the B2B marketers are using data analytics tools with their current MarTech stack and nearly half of them are not using advanced functionalities.

“Without big data, you are blind and deaf in the middle of a freeway.” – Geoffrey Moore

Additional tools are helpful, here is a brief of what these data tools are and what do they do precisely.

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Data Analytics Explained

Data analytics tools are a collection of maps, diagrams and charts intended to gather, interpret, visualize and extrapolate data for use across a variety of industries and applications.

Rise of Data Analytics

Businesses are scrambling to hire data and analytics experts who can sift through the company data siloed away by various departments.

89% of B2B marketers have agreed that the quality of data is becoming increasingly critical for marketing and sales success. Although, some are not confident about their data quality and so we need to work in this regard.

As data analytics is booming in the B2B marketing world, it is worthwhile to highlight how it will boost your return on Marketing Investment if used well.

How does Data Analytics boost your B2B ROI

  1. Quality data helps you reach out to the right people leading to an increase in getting quality leads. Data analytics helps you hone and segment target groups and buyer personas to optimize your content.
  2. Data analytics enhances lead scoring and prioritization. It will help you predict which leads are most likely to close a deal using lead-scoring algorithms.
  3. Data analytics also help in proper product recommendations. As each customer needs a personalized plan, data analytics shall cut down on time-consuming integrations and missed opportunities.
  4. Content & Ad campaign optimization. It will take out the guesswork from advertising.

Let us now look at the top data analysis tools for B2B marketers

  1. Oktopost

Oktopost is a popular data analysis tool, which:

  • Excels in tracking lead generation over social networks, understanding the full lead journey, and attributing leads to specific posts, profiles, channels, and campaigns.
  • Helps in tracking KPIs, and assign a monetary value to your campaign activities, and finds out where the highest ROI is coming from.
  • It’s latest tool Social BI helps to not only track and monitor your social media campaigns, but also carve out data-focused insights for your brand as well.

For any digital marketer counting on LinkedIn, SHIELD is a go-to solution.

SHIELD allows tracking of aggregated metrics for countless LinkedIn accounts.

  • The tool offers a customized dashboard to track the presence of each member individually.
  • It has a dynamic dashboard offering AI-based data collection and report creation.
  1. Keyhole

One of the best tools in the market for hashtag analysis across Twitter, Instagram, and Facebook is Keyhole. The platform helps in:

  • Tracking and following your hashtags in real-time and sharing results with your clients in the form of high-quality PDF reports.
  • Calculating your campaign ROI with reliable, high-quality data.
  • Conducting an in-depth analysis of social sentiment over time for some specific social media posts.
  1. Exponea

Essentially used for customer data analysis, Exponea offers a suite of AI-driven personalization and real-time updates. The top features of the platform are:

  • It helps to track your customer journey from acquisition to retention.
  • Suggests different campaigns for each customer and allows to have a Single Customer View.
  • With the help of its machine learning algorithms, the tool can judge the past and present of the customer’s journey and predict the actions.
  1. GoodData

GoodData is another popular data analytics tool helping B2B marketers to:

  • Share results with subsidiaries within your network.
  • Be more transparent and take better decisions based on accurate data.
  • Customers can create and publish their reports and dashboards.
  • The tool has 4 data centers allowing for the free movement of data into any of the 4 centers at any time.

Big data analytics is not the future, it is the present. Data analytics have been increasingly adopted and utilized in businesses across departments. Right from enhancing market research and pricing to optimizing personalized buyer journeys, big data and AI are critical pieces for any successful B2B marketing strategy today.

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