Introduction to Marketing Analytics

The Guide to Marketing Analytics

Marketing professionals are constantly trying to grow and improve their business, as well as reach out to more clients. How can you do this? You need to have a good product or service but also data. In marketing, data analytics tells you which marketing strategies are working and who should be your target customers.

The marketing skill set does not include a lot of number crunching. However, it includes understanding marketing analytics and applying them to optimize a marketer’s time as well as the resources available for a company.

What is Marketing Analytics?

Data analytics in marketing is the study and use of information related to marketing. Data analytics is used in Marketing to measure the effectiveness of previous campaigns in terms ROI and conversions. It also measures customer preferences and behavior. Marketing analytics can be used to analyze data from past campaigns. departments will then be able to use trends or patterns to improve their activities and resource allocation.

Marketing data analytics usually includes three elements: analyzing present events, reporting the past and predicting the future.

  • Analyzing present: Marketing analytics are needed to understand the current state of marketing campaigns, and compare it to previous campaigns. This time, the focus will be on the website traffic, the sources of it, the social media clicks and engagement, and the state of revenue and the pipeline.
  • Reported marketing data analysis: At the end of campaigns, departments rely heavily on reports that include LeadConversion, Customer Lifetime Value, and Sales funnel Churn Rate.
  • Marketing analytics is used to predict the future. Marketing departments use marketing analytics for planning projects in the future. Data analytics for marketing includes lead scoring, content targeting, and the ability to upsell. It relies on datasets, as well as AI and modeling.

What is the importance of marketing analytics?

Marketers can use marketing analytics to gain the insight they need in order to plan and execute successful campaigns, as well as carry out other activities which will assist them with their strategic goals. Marketing departments without marketing data analytics would have to rely on anecdotal or guesswork to decide how much budget to allocate, which channels to utilize for their brand promotion, and who to target in order to achieve the best result.

Marketing analytics is used by who?

Marketing analytics can be used by every member of a marketing team. The marketing analytics will be used by chief marketing officers to create the company’s strategy. Marketing analytics will be used by a manager to create the plan and determine the distribution channels that should get the most attention. Marketing analytics will be used by an SEO specialist to create a keyword plan. They’ll also use it to determine the best keywords and competitor behaviors.

Marketers can use data analytics to their advantage if they act on the information gathered from marketing analytics.

What can you do based on your analytics?

The marketing department can choose from a wide range of options based on the analytics. Here are some examples of more popular ones:

  • Include keywords:Marketers may use keyword analysis software to identify the exact words and phrases that they should optimize to increase organic traffic via web searches.
  • Replicate successful campaigns. Social Media data analytics (often basic versions are built-into each platform) in marketing can help marketing departments understand what content and topics resonate well with their followers, leading to traffic on the website or signups for newsletters. Marketers will then be able to use more of that content in order to drive traffic.
  • Target new markets. The marketing department can target a new market segment or launch a advertising campaign to reach a demographic that is different from the current one if data analytics shows prospective clients in these areas.
  • Optimize Customer Relationship Management: Agencies are also able to address the bottlenecks of customer relationship management, as these platforms include marketing analytics that help evaluate funnel and churn.
  • Adjust the product to fit your customer: Marketing departments have access to data on customers, including their purchase histories, website journeys, and behavioral patterns. They can therefore better anticipate what they need and want.

The marketing department has a wide range of tools for analytics and software available to them. Every day, they should use as many as possible to enhance their marketing plans and activities.

B2B Marketing Analytics: Introducing B2B analytics

B2B marketing and B2C are quite similar, yet they also differ in many other ways. B2C marketing is based on appealing to the emotional response of a consumer with the goal that they purchase your product or services. B2B involves building relationships and brand recognition that could lead to sales.

B2B analytics is heavily reliant on keywords, market research, scoring of leads, and optimization of the ratio between lead to customer. B2B data analytics should include a basic consideration: using the data to better understand your audience. This will most likely be one or several decision makers at an organization. The marketing team can get an overview of this target audience by using Google Analytics and keyword analytics.

B2B marketing analytics helps determine which prospective lists are most effective, and what forms of communication to use repeatedly.

Marketing analytics: Important concepts

Certain concepts in marketing analytics are critical for maximizing resources and efforts. Marketing analytics concepts can make the difference between a team that excels at research, planning and execution and a marketing team who is average.

  • Customer life-time value (LTV). Marketing departments can determine a customer’s value to the business based on their past purchase history, frequency of purchases and lifespan. They can then make accurate predictions regarding future customer engagement and ROI.
  • ROI (Return on Investment): In terms of marketing, analyzing returns is the measure by which marketing can increase revenue or profit. This ROI data provides companies with another way to measure the success of their marketing team.
  • Cost Per Lead:To understand how effective a campaign really is, marketing departments must know the data on cost per lead. The cost per lead is the cost of generating one new lead. The cost per lead is a useful tool to calculate marketing ROI.
  • Conversion rate of lead to customer: The conversion rate between leads and customers or the percentage of sales can be measured by analytics. The data collected can be used to direct the marketing department to focus on generating specific leads which are most likely to convert into sales.

What to look for when choosing marketing analytics software

There are many options available on the market, making it difficult to choose marketing analytics software. You might think that you require a separate tool to track each metric (although this is not always true).

With Wrike, you can easily import the metrics of up to 50 digital marketing tools. This will help streamline your workflow to take your marketing efforts to the next stage. Our guide will help you choose the best software and marketing tools.

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