Data-Driven Marketing. Understanding the importance of Data to drive successful marketing campaigns.
Excelligent Marketing Solutions Pvt. Ltd.
Excelling In Intelligent Demand Generation
Data-driven marketing is when marketing teams build their strategies based on the analysis of big data. This analysis will offer insights into customer preferences and broader trends that stand to impact the success of a marketing campaign.?
While taking a data-driven approach to marketing was once rare, the multitude of niche media channels and evolving consumer expectations have made data analysis an essential process in modern marketing campaigns.?
A data-driven media planning approach is now aided by the vast quantities of information that organizations have access to. Marketing teams collect data through the use of applications or various websites, and with good attribution modeling, can track each brand interaction along the customer journey. When all of this information is parsed and analyzed, marketing teams can see which creative assets drove more engagements, which channels offered the highest ROI, and more. Based on these findings, organizations can hone their campaigns to ensure the best customer experiences and the greatest return on marketing investment.?
The Benefits of Data-Driven Marketing
Modern consumers are inundated with brand marketing and messaging. As a result, they have become increasingly discerning of which messaging they will engage with. When using a data-driven strategy, marketing teams can drastically increase the chances that their?target audience?
will click on their ad, join their webinar, read a blog post, or perform another action that drives a conversion goal.?
Data-driven strategies?improve customer experience and brand perception, as it gives organizations an understanding of consumer needs and interests. They also improve conversion rates, because the highly targeted messaging enabled by data-driven marketing is more likely to catch the attention of users. Some of the top benefits of data-driven marketing are:?
Better Customer Experience
Data-driven marketing focuses on using in-depth consumer profiles to make the customer experience better. This is essential to success, as almost half of consumers report leaving a website to purchase a product elsewhere due to a poor experience.
The added personalization afforded by data-driven marketing builds trust between a consumer and brand while creating positive customer experiences. Personalizing the experience for consumers can have real results, with McKinsey finding that personalized experiences can provide 5-8 times the ROI on marketing spend.
Better Attribution for Spend Optimization
A common challenge for marketers is determining where their advertising budget is being wasted. Data-driven marketing led with analytics tools allows marketing teams to discover which portion of the advertising budget is having the greatest impact on conversions or brand awareness. This is done by evaluating customer journeys using attribution models, such as unified marketing measurement (UMM). UMM looks at multi-touch attribution and media mix modeling to provide a comprehensive view of the path to purchase. Organizations can determine what moves prospects and customers down the funnel then allocate dollars accordingly.
Produce Relevant Content and Copy
Evaluating consumer data gives marketing teams insight into the types of creative, visuals, copy, and content that your target audience prefers to engage with. Delivering the right message – one that caters to personal interests and creates value - at the right time is essential to connecting with your consumers. Unfortunately, many marketers struggle to align their content with their audience, as evidenced by two key data points:?
Blog content has increased by 800 percent in the past 5 years, but social sharing is down by nearly 90 percent. This means there is a disconnect between what brands are saying and what users find valuable.
By diving into your analytics, you can find what messaging and which pieces of content are resonating with your audience. This can lead more effective product decisions and help you understand your clients.
Better Decisions
Overall, taking a data-driven approach to marketing allows teams to make more informed decisions, with?2 out of 3 marketers
?agreeing that it is preferable to base decisions on data than gut instincts. Data analysis allows marketers to make choices based on real-world use cases instead of theories. However, data-driven marketing does not discount the emotional considerations that can go into a consumer purchasing decision. Marketing teams must evaluate data within a framework that considers rational and emotional decision making to ensure they are balanced properly in campaigns.??
The Challenges of Data-Driven Marketing
Data-driven marketing strategies stand to be positive for both marketers and consumers. However, there are a few challenges that can keep marketers from extracting the full benefits of their data or from reaching customers in an effective way.?
Avoid Being Invasive
Though consumers want personalized experiences, they don’t want organizations to know everything about them. Even more so, if they decide to give over personal information, they want to know how it will be used to their benefit. Consumers feel strongly about data transparency, with 79 percent of customers saying they will stop doing business with a company if they learn their personal data is used and collected without their knowledge.
When targeting customers with messaging or personalization tactics, companies should consider how they are providing value to a consumer. For example: making it easier for consumers to make purchases versus showing customers how much you know about them. Furthermore, marketing teams must be incredibly transparent with how data is collected and used – giving consumers the ability to opt out of data collection, especially in light of regulations such as GDPR and CCPA.
Poor Data Quality
In order to have a plan governed by data, you need to have the right data processes in place. This will ensure you are basing decisions and strategy on?high-quality data that is representative of customer needs. If your data does not conform to data quality dimensions such as timeliness, accuracy, completeness, representativeness, etc., then you risk making decisions based on data that provides little visibility into your customers’ actual needs. In fact, almost half of new data records have at least one critical error in them and an HBR study could only loosely rate?3 percent?of data quality scores to be acceptable. With this in mind, before embarking on data-driven tactics, marketing teams must ensure they have data quality standards and policies in place.
Extracting the Right Information
Many companies are investing in big data (often spending millions), but have been unable to produce any tangible return on this investment.?If you are collecting large quantities of data -- but not the right data – it will do little to inform your marketing strategy. 70 percent of marketing and sales executives have reported data-driven marketing as an important initiative, yet only about 2 percent?have seen a positive impact when investing in these solutions.
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In order to get the most of their data, companies need to have the right?personnel, policies, and infrastructure?in place. This means data scientists that can derive insights from large datasets, processes to keep data clean, and the right software partners to sort, correlate, and process immense quantities of data. It’s a function of having employees with the right skills and software with the features to assist them in making the right decisions.
It’s Complicated
Implementing a data-driven marketing strategy takes time and resources as marketing teams must ensure the right policies and controls are in place. While marketing teams often find the process complicated, the returns are ultimately worth it.
Even if your company has the proper talent and technology in place, it can be difficult to understand where to start. Marketing teams need to be sure they have an in-depth plan in place before setting out, or should partner with a?third party term?that can guide them on getting the most out of their data.?
Best Practices for Data-Driven Marketing
When developing a plan to implement data-driven marketing, especially at a time when global data collecting policies are becoming more stringent (especially in terms of GDPR and CCPA), consider the following:
Provide Value
Data-driven marketing is all about improving?marketing success?based on an enhanced customer experience, which is enabled by data insights. Customer experience is key to this equation. Each campaign designed with data should demonstrate a clear answer to the question “what is in it for the customer?”
With this in mind, creating a sheet that promotes your products is not enough to encourage downloads. Consider the user and what they would find valuable. Based on the data you have, what is the problem your customer is trying to solve? Where in the buyer’s journey are they? From there, determine the most helpful piece of content or information you can provide.?
Outline Clear Advantages
Consumers are more likely to offer their personal information if they believe they will get better deals or more value out of their brand interactions. Make it clear to customers that they will receive something useful if they allow your organization to leverage their data and build user profiles. This may be personalized product recommendations or insider information in a newsletter format. Marketers must highlight what consumers will gain.
Be Transparent
Many consumers are concerned with how organizations utilize their data - ranging from invasive messaging to the risk of having their data stolen in a breach of your network. Marketing teams must be highly transparent with what information they are collecting, how they will use that information, and how it will be stored and secured. Additionally, give customers control to change their data or to delete their account. This is required by GDPR and CCPA. Maintaining a high-level of visibility into where data resides will allow marketing teams to track and modify data as requested by customers.?
The Steps in Data-Driven Marketing
As stated, implementing a data-driven marketing plan can be complicated. This complexity is compounded when an important step is skipped – forcing teams to back track and lengthen their time to value for the program. Before beginning your marketing plan, review these key steps in the process and make sure you have a plan and the resources necessary to complete each one.?
Determine Which Data You Need
This will depend on the goal of your program. If you are trying to build person-level user profiles, you will prioritize collecting consumer information. If you are attempting to track the path to purchase and customer journey, focus on attribution data. After you determine your goal, be sure you have established KPIs that will allow you to measure the success of your program.
It’s important to understand what you are trying to do with the data. Work together with your data science team to find any gaps that may exist in current dataset, and determine how to fill these gaps to measure KPIs and move forward.
Implement Data Quality Best Practices
Again, if your data-driven program is based on inaccurate or incomplete data you will not see positive results. In fact, you risk making changes to campaigns that move them away from the experience your consumers want. To minimize this risk, be sure to establish clear data quality policies. This will ensure you are making decisions based on the most current and representative data available. Have policies in place across departments to ensure each team is recording the same information in the same format.?The top data quality dimensions to consider are:
Benefits of data-driven marketing
The benefits of data-driven marketing and especially data-driven advertising are significant.
More efficient media buying.?Data-driven marketing is probably the most advanced in the programmatic buying sector. By leveraging algorithms and machine learning,?ad agencies?and marketers are removing a lot of the guesswork from media planning and buying.
Targeting the right consumers.?Ad spends and marketing messages are optimized to be shown only to the appropriate targets for the marketing campaign.
Messaging audiences with relevant messages.?The age of generic, one-size fits all marketing messages is over. There is still room for these big ideas for some brands, but for most companies, marketing messages must get more granular in order to be relevant enough to resonate with consumers.
All of these benefits occurring in tandem result in significant ROIs for marketers.