How to Implement a Data-Driven Marketing Strategy to Improve ROI

Decisions in marketing are no longer driven by experience and intuition alone. That said, modern marketers still trust old but gold performance measures like the return on investment (ROI) ratio, which has been around since 1914, to evaluate the efficiency of their lead generation campaigns.

A good reason behind ROI's long-lasting popularity is its simplicity. A high ROI means the investment's gains compare favorably to its cost. On the contrary, a low one suggests that something went wrong while selecting the audience, the message, the product, or maybe the email blast timing was off, or the ad wasn't clear enough. 

But how do we determine which gears need to be oiled? That is where data comes in. Data-driven marketing is quickly becoming one of the most notorious lead-closing approaches in the B2B environment. According to a Forbes study, 64% of the surveyed executives "strongly agree" that data-driven marketing is crucial to success in a hyper-competitive global economy.

With so much valuable information available for B2B decision-makers, marketing is no longer a wild shot in the dark. The global data classification market size is expected to reach USD 2.44 billion by 2025. Now is the perfect time for B2B organizations to expand their data-driven marketing knowledge so they can leverage this modus operandi to upgrade their return on investment.

What Is Data-Driven Marketing?

Data-driven marketing (DDM) can be defined as a combination of methodologies that apply high-quality data to develop more engaging lead generation efforts.

Data-driven marketing strategies heavily rely on data segmentation actions to achieve a deep understanding of the target. Dissecting account-related data through different criteria makes it easier to organize similar target profiles into specific groups, making them better fitting for certain follow-up procedures.

Intent data techniques are also quite popular while assembling DDM working plans, for they can be used to identify digital users' web content consumption and employ these insights to optimize remarketing campaigns, inbound content, and overall applications.

The integration of data from multiple sources is essential for developing a holistic understanding of the customer. 

Adobe found that CRM data remains the most common approach taken by digitally mature companies to augment data-driven marketing statistics (48%), but 34% of organizations are beginning to consider predictive analytics as a means to enhance their DDM approaches.

Data Quality Evaluation

That said, all data sources come into play to craft the most authentic DDM experience, which includes the following core pillar aspects:

However, to take full advantage of the DDM methodology, B2B companies must be ready to embrace data and adapt it to their infrastructure, processes, and culture. Full commitment is advised, for shallow data-driven practices can only bring empty results.

Benefits of Data-Driven Marketing

Prospects today are constantly exposed to generic marketing messaging, which has made them more selective about the CTAs they choose to interact with. Data-driven marketing campaigns are tailor-made, meaning that the targets are more likely to respond positively to the emails, content, and ads that are aimed at solving their queries.

The top advantages of data-driven marketing strategies include:

Improves customer experience

McKinsey reports that personalized campaigns can deliver five to eight times the ROI on marketing spend, and can lift sales by 10% or more. 

Data-driven marketing solutions can be used to craft specific messages for certain target account lists (TALs) and accelerate the trust-building process between the brand and the prospect.

Allows for better decision-making

The use of data analysis enables marketers to base decisions less on assumptions and more on practical use cases. This translates into a more conscious use of budget, better timed cold calling and email blasts, and creating content around the topics that the prospect is interested in.

Boosts targeting efforts

Understanding an audience can be challenging for B2B companies that don't possess full control of their data exhaust, which can be defined as the result of every single online action deployed by a digital user. It includes log files, cookies, temporary files, and even stored information for every digital transaction. 

DDM helps marketing teams to create accurate ideal customer profiles (ICPs), which hold rich information about what type of media, devices, channels, and platforms perform better for certain targets.

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Challenges of Data-Driven Marketing

On the other hand, internal data-driven marketing agencies can mean a radical transformation for B2B organizations that are not used to operating through such complex decision-making processes.

Here are some obstacles businesses must be ready to face while implementing a solid DDM methodology:

Gathering high-quality data

Sorting the wheat from the chaff is no child’s play. The vast amount of data flowing through the different channels of your organization demands expertise, time management, and energy consumption from your collaborators.

First-party data refers to all of the information collected directly from your website. Third-party data involves information that is collected across the web. Both are needed to generate efficient data-driven marketing campaigns. The catch lies in deciding which data providers, systems, and platforms are best suited for your business's objectives.

Avoiding invasiveness

Nowadays, personal data is one of the most delicate assets in the digital market. Even if a website visitor decides to share their information with you, they have the right to know how it will be used and what benefits it brings.

Data transparency is a top priority for digital prospects, especially for high-end decision-makers. Companies must collect information in a clean, acknowledged, subtle way, and apply it with a high sense of responsibility.

Applying the insights

While it may sound odd, a lot of companies spend millions on data-gathering tools, analysts, and advisors just to completely ignore the results.

Data is cold and will provide a clear picture of what is working and what is not. Implementing the consequent recommendations is a vital part of the commitment that execs and managers accept by inviting data into their brand's structure.

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5 Data-Driven Marketing Strategies for B2B Companies

DDM efforts can strengthen short-term performance campaigns or long-term brand-building programs depending on the goal you want to pursue.

Here are some data-driven marketing examples that your business can apply to raise its performance:

1. Track your website interactions.

Every website out there holds various options for visitors to submit their comments, questions, or contact information. That said, all interactions can lead to meaningful data-centered insights if processed correctly. The most common data applications are:

  • User experience. This involves behavioral traits such as in-page clicks, spent time, mouse movement, navigation patterns, and bounce rate, just to name a few. This information can be used to make your website more suitable for retaining visitors.
  • Content performance. Webinars, blog posts, newsletters, white papers, and every other content format holds a different intent. Analyzing what styles and topics are the most popular among users makes it possible to craft more authoritative content.
  • Engagement. While web pages are expected to convert customers, their main goal should be to educate prospects. Live chats and chatbots make great bridges to understand the user's necessities and the buyer's journey.

If not processed correctly, wild data can roam far and wide, even inside a well-structured website. It is advisable to integrate different data-tracking tools to make the most of every piece of information.

2. Refine your remarketing efforts.

Once a user exits your website, remarketing actions need to be executed to plant your brand at the top of their minds so they can come back once your offer is processed and considered an attractive possibility. 

Data is extremely useful to know how and when to trigger specialized ads out of what type of interactions were deployed inside the landing page. Nevertheless, B2B prospects should be approached through more subtle tactics. Here are some DDM techniques that are aimed to produce meaningful conversations:

  • Tweak your message. Most B2B prospects will need multiple touch points with brands before making a decision, so design a multistep ad structure that nurtures them through organic information about your product, experience, success rates, and other persuading assets.
  • Diversify your content. Different landing pages with distinct angles, content on social media, and mentions on topic-related panels allow a brand to maximize its credibility.
  • Go for the conversion. B2B prospects don't have time to waste, so be ready to trigger more hard-selling ads as soon as the awareness and interest stages of the buyer's journey are over.

3. Filter your prospect selection.

Experienced marketers know that not every prospect is worth the chase. Another reason why data-driven marketing is so important is that it simplifies the process of identifying what leads are more valuable for the company and also which are most likely to buy.

Information such as location, age, gender, business size, education level, and personal interests are just some examples of significant data that can lead to a deeper understanding of your prospect’s expectations.

A great data-based practice is to classify your prospect's profiles in the following tiers:

  • Top-tier: These are the most profitable prospects who have already expressed their desire to close a deal.
  • Mid-tier: These prospects have shown active interest in your product but are not at the final stages of their buyer’s journey.
  • Bottom-tier: These prospects do not have the intent to purchase at this moment.

4. Integrate data-centered technology.

Customer data platforms (CDPs) are interactive databases that collect relevant sales and behavioral data of your customers, creating extensive and constantly evolving individual data profiles.

A data-driven tool like this can save a lot of time, effort, and budget when gathering demographic, psychographic, behavioral, firmographic, and transactional data, accelerating the conversion rate for the fittest prospects.

While B2B companies that are new in data integration might not be able to exploit every bit of information delivered by a CDP, most data partners will provide assistance on how to create the most optimal configurations depending on what you aim to measure.

5. Personalize your email campaigns.

Inside the B2B environment, every opened or answered email is a small step toward victory, and data can provide great help by making readers feel like you are no stranger to their situation. Hubspot claims that more than 20% of marketers say personalization can improve email engagement.

Simple yet meaningful aspects like calling the lead by their first name, knowing the context of their industry, including interesting pain points or solutions in the header, and sending the email at the right moment can be decisive for the success of the campaign.

Furthermore, data-driven practices allow marketers to fully understand what email sequences have performed best, what CTAs were the most clicked, what content was the most popular, which emails were answered, and with what purpose. 

All this data contributes to the creation of more sophisticated email templates with maximized open and click rates.

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Best Data-Driven Marketing Platforms

Selecting the right data tools and providers will only depend on what your goals are in the short, mid, and long term. Here are some top-notch data platforms that might help your marketing team access the information that would raise their ROI rate:

CIENCE GO Data

CIENCE GO Data is a sales intelligence platform that offers over 300 million lead records from all industries to its users. GO Data validates records, email accounts, and active phone numbers daily, and provides rich insights that allow a more organic integration into your team's current data-driven marketing campaigns.

CIENCE GO Show

CIENCE GO Show uses tracking pixel technology to generate a detailed profile of all your website visitors. Its visual ID system identifies prospect’s attributes like employee size, revenue, and industry sector while creating instant integrations into your revenue team pipelines.

HubSpot

The HubSpot marketing hub is a well-known omnichannel platform that allows the managing, tracking, and distribution of all of your customer data in one location.

It helps marketing teams to produce optimized content, start segmented email campaigns, keep an eye on social media activity, and manage retargeting ads all from one place.

Buzzsumo

Buzzsumo enables your team to track the performance of your digital brand, improve the understanding of your competition, and optimize your website content. 

SEO-based marketing teams often use Buzzsumo to investigate popular keywords, content categories, and published material to identify patterns that might enhance their content strategies.

Google Analytics

This list wouldn't be complete without mentioning the father of data-driven marketing tools. Google Analytics has established the industry standard for monitoring and reporting on user behavior.

This free tool has helped marketers to learn more about their website's traffic, bounce rates, visitor sessions, behavior flows, conversions, and acquisitions for more than fifteen years. It can be directly connected to a brand's Google Ads account and is friendly with most data-driven marketing platforms.

Leverage Data-Driven Strategies to Accelerate Conversions

A big reason why so many B2B marketing leaders depend on ROI to certify the success of their campaigns is that the facts are clear for everyone to see. While there is no bulletproof formula that guarantees unflattering gains, data is proving to be the right ally for businesses that want to keep on closing the gap between investment and gains.

In many ways, data has already transformed the meaning of "marketing" as we knew it. Customers' expectations and needs evolve so quickly that not even the strongest hunches, as well-intended as they may be, are good enough to come up with a successful campaign. 

Creativity, instinct, and cleverness will always be honored guests for every marketing strategy out there. The only real difference is that we now possess a magnifying glass that provides a detailed view of how, when, and where to compromise. And while knowing so much may take away some fun, the present game demands much more than pure luck.

Try CIENCE Go Data

 

 

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