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Jetpack Stats homepage with the text "simple, yet powerful stats to grow your site."

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What is Data-Driven Marketing? Why is it Important for Business Growth?

Things aren’t like they were even 50 years ago. Business is more competitive than ever and marketing decisions can no longer rely on intuition alone. To grow effectively, companies must adopt strategies that are backed by reliable data. Data-driven marketing provides marketers with insights that help them make smarter decisions and stay ahead of the competition.

By analyzing customer behavior, preferences, and trends, businesses can better understand their audience and improve their marketing efforts. The result is more precise targeting, better resource allocation, and a higher return on investment. So, what exactly is data-driven marketing, and why does it matter so much for business growth?

What is data-driven marketing?

Data-driven marketing refers to the practice of making marketing decisions based on data analysis and insights. Rather than relying on guesswork, this approach uses concrete information about customers, their behavior, and the effectiveness of marketing campaigns.

The data comes from various sources, such as website traffic, social media interactions, customer purchase histories, and more. By collecting and analyzing this data, marketers can identify trends and patterns to understand what works and what doesn’t. This allows businesses to target the right audience, create more relevant content, and optimize their overall marketing strategies for better results.

Why is data-driven marketing crucial for business growth?

Data-driven marketing is important because it allows businesses to make informed decisions, leading to a more efficient use of resources and better results. Instead of relying on instincts or assumptions, companies can analyze actual data to understand their customers and adjust their strategies accordingly.

By doing this, businesses can improve how they engage with their audience and achieve sustainable growth. Here are several reasons why this approach is vital for success:

1. To better understand customer behavior and needs

With data-driven marketing, businesses can analyze how customers interact with their brand. This includes understanding what motivates customers to purchase or why they leave without completing a transaction. By gaining insights into behavior and preferences, companies can create more personalized marketing campaigns that speak directly to what customers want.

2. To identify high-performing channels

Different marketing channels perform better for different audiences. Data-driven marketing helps businesses identify which channels, whether it’s email, social media, or search engines, are driving the most engagement or conversions. This allows marketers to focus on the platforms that yield the best return on investment and avoid wasting resources on underperforming ones.

3. To improve segmentation and targeting

Data allows marketers to break down their audience into different segments based on characteristics like age, location, or buying habits. This segmentation helps businesses target the right customers with the right message at the right time. More precise targeting leads to higher engagement rates and better overall performance.

4. To reduce reliance on guesswork and intuition

When marketing decisions are based on assumptions, there’s a higher chance of failure. Data-driven marketing eliminates much of the guesswork, providing concrete evidence on what works and what doesn’t. This results in a higher likelihood of success.

5. To make real-time adjustments to campaigns

Marketing doesn’t always go according to plan. However, with access to real-time data, businesses can make adjustments to campaigns as they unfold. Whether it’s tweaking a message or shifting focus to a different channel, having the ability to adapt quickly can improve the chances of achieving desired outcomes.

What is data analytics in marketing?

Data analytics in marketing involves collecting, analyzing, and interpreting data to make informed decisions. It’s the process marketers use to turn raw data into actionable insights. This can include understanding how customers behave on a website, which ads are driving conversions, or how different segments of the audience engage with content.

By using data analytics, businesses can pinpoint areas that need improvement and identify opportunities for growth. It helps marketers track performance, measure return on investment (ROI), and refine their strategies for better results.

At its core, data analytics is about turning information into knowledge. With the right tools, businesses can better understand what’s working in their marketing and what needs to be adjusted. This helps them allocate resources more efficiently and focus on tactics that deliver results.

Examples of data used

In data-driven marketing, various types of data help businesses make informed decisions. Each type of data provides unique insights into customer behavior and preferences. By understanding and leveraging these different forms of data, marketers can craft campaigns that are more targeted and effective.

Demographic data

Demographic data includes basic details about your audience, such as age, gender, income, education, and location. These metrics help businesses understand the general characteristics of their customer base.

Example: A clothing brand might notice that the majority of its online shoppers are women aged 25-34 from urban areas. This data allows the company to tailor its marketing efforts by creating targeted promotions or content that resonates with this demographic group. Other common metrics include marital status, occupation, and household size, which can further refine marketing strategies.

Behavioral data

Behavioral data tracks how customers interact with a brand across various channels. Key metrics here include website visits, time spent on specific pages, email open rates, and shopping cart abandonment rates.

Example: An ecommerce business might observe that users who spend more than three minutes on the product page are more likely to make a purchase. They might, as a result, dedicate more advertising revenue to people who stayed on the page for three minutes and didn’t convert than to those who simply visited for a minute and left.

Another behavioral metric could be tracking the frequency of repeat visits, which can indicate customer loyalty. These metrics help businesses understand user habits and improve the customer experience.

Conversion & event data

Conversion and event data focus on specific actions customers take that align with business goals. Key metrics include conversion rates (the percentage of visitors who complete a desired action, like making a purchase), click-through rates (CTR), and sign-up rates.

Example: An online subscription service might track how many users sign up for a free trial after clicking a banner ad. Another example could be tracking the number of product downloads or webinar registrations. These metrics are critical for measuring the success of marketing campaigns and determining ROI.

Psychographic data

Psychographic data goes beyond surface-level characteristics and looks into customers’ interests, values, attitudes, and lifestyle choices. Metrics in this category might include tracking which types of content users engage with most, such as blog topics or social media posts related to specific causes or hobbies.

Example: A fitness brand might discover that a large portion of its audience is interested in environmentally-friendly products, based on engagement with related content. Another psychographic metric is sentiment analysis, based on customer surveys, which provides insight into how customers feel about a brand or product.

Common data sources for marketers

Marketers have access to many data sources that can help shape their strategies. Understanding where to find this data is key to executing successful data-driven marketing campaigns. These sources provide valuable insights that inform everything from audience targeting to campaign performance.

1. Website analytics tools

Website analytics tools track how visitors interact with a company’s site. They provide data on page views, session durations, bounce rates, and conversions. These insights help marketers see what content or products are resonating with users and what areas need improvement. By analyzing visitor behavior, marketers can optimize their website for better user engagement and higher conversion rates.

Spotlight on Jetpack Stats for WordPress analytics

If your business runs on WordPress, Jetpack Stats is an excellent tool for gathering real-time analytics. Jetpack Stats offers clear and concise insights into your website traffic, showing you which pages are attracting visitors and where those visitors are coming from.

This popular WordPress analytics tool is particularly useful for measuring content performance, identifying trends, and tracking user behavior. By integrating Jetpack Stats, you can monitor key metrics directly in your WordPress dashboard and then make informed adjustments to your content or marketing campaigns. Whether you’re analyzing page views or monitoring visitor origins, Jetpack Stats gives you actionable data in a user-friendly format.

Learn more about Jetpack Stats.

Simple, yet powerful stats to grow your site

With Jetpack Stats, you don’t need to be a data scientist to see how your site is performing.

Get Jetpack Stats

2. Social media metrics

Social media platforms provide their own set of metrics, such as likes, shares, comments, and followers. These metrics help marketers track the effectiveness of their social media efforts and understand what kind of content is engaging their audience. Social media metrics are crucial for measuring brand awareness and driving customer engagement.

3. CRM systems

Customer relationship management (CRM) systems store data about customer interactions with a brand. This data includes purchase histories, customer service interactions, and communication records. Marketers can use CRM data to personalize marketing messages and tailor campaigns to meet individual customer needs, improving customer retention and loyalty.

4. Customer surveys and feedback

Surveys and direct customer feedback are excellent ways to collect qualitative data. While many data sources focus on quantitative metrics, surveys provide insights into customer opinions, preferences, and satisfaction. This feedback can help businesses fine-tune their products, services, and overall customer experience.

How to implement data-driven marketing

Implementing data-driven marketing requires a structured approach. It’s not enough to collect data. Businesses need a clear plan for using it effectively. The following steps outline how marketers can turn data into actionable strategies that drive results:

Step 1: Identify goals and KPIs

Before gathering any data, businesses need to define their marketing goals. Are you looking to increase sales, improve customer retention, or boost brand awareness? Once goals are clear, it’s important to set key performance indicators (KPIs) to measure progress. KPIs could include metrics like conversion rates, website traffic, or customer lifetime value. Clear goals and KPIs ensure that all marketing efforts are aligned with overall business objectives.

Step 2: Collect the right data

Once goals and KPIs are established, the next step is to gather the right data. This might involve setting up website analytics tools, collecting customer feedback through surveys, or pulling data from CRM systems. It’s essential to focus on collecting data that’s directly tied to your KPIs. Instead of overwhelming your team with unnecessary metrics, prioritize the data that will give you meaningful insights.

Step 3: Analyze and interpret the data

Data’s only useful if it’s properly analyzed. Marketers need to dig deeper to identify patterns, trends, and anomalies. The goal is to turn raw data into actionable insights that can inform your marketing strategy.

Step 4: Implement data-informed strategies

Once you have insights from the data, it’s time to act on them. This could mean adjusting your advertising budget to focus on high-performing channels, personalizing email campaigns for different customer segments, or optimizing your website to improve the user experience. The key is to ensure that all marketing strategies are based on the insights you’ve gathered from your data analysis.

Step 5: Continuously monitor, test, and optimize

Data-driven marketing is not a one-time task. Businesses need to continuously monitor their campaigns and make adjustments as new data comes in. A/B testing is a valuable tool for comparing different strategies and finding out which one performs better. Regularly revisiting your data allows you to refine your approach and ensure you’re always moving towards your marketing goals.

Frequently asked questions about data-driven marketing

If you’re new, or even if you’re not, it’s normal to have questions about a fairly technical topic like this. Below, we’ll address some of the most common questions to help guide your learning.

What are key performance indicators (KPIs) in data-driven marketing?

Key performance indicators, or KPIs, are measurable values that indicate how well your marketing efforts are performing. Common KPIs include conversion rates, cost per acquisition, and customer lifetime value. These metrics allow you to track progress toward your business goals and measure the success of your campaigns. It’s important to select KPIs that align with your objectives, ensuring they provide useful insights into the areas you want to improve.

What are some key metrics to track in data-driven marketing?

Several metrics are important in data-driven marketing, including website traffic, conversion rates, engagement on social media, and email open rates. Tracking these metrics helps marketers understand how well their campaigns are performing and where adjustments may be needed. For example, high traffic but low conversion rates could indicate that your landing pages need optimization.

How does A/B testing fit into data-driven marketing strategies?

A/B testing allows marketers to compare two different versions of a campaign to determine which one performs better. This can involve testing different headlines, images, calls-to-action, or even audience segments. By gathering data on how each version performs, you can refine your approach one small change at a time. A/B testing is a valuable tool for optimizing marketing efforts based on data rather than assumptions.

How can data-driven marketing enhance content marketing?

Data-driven marketing can significantly improve content marketing by helping businesses identify what type of content resonates with their audience. By analyzing metrics such as time spent on page, social shares, and engagement rates, marketers can create more targeted and relevant content. This leads to better audience engagement and a stronger connection between the brand and its customers.

How does real-time data benefit marketers?

Real-time data provides marketers with up-to-the-minute insights into how their campaigns are performing. This allows them to make adjustments while the campaign is still running, rather than waiting until the end to evaluate performance. For example, if a social media campaign isn’t getting the expected engagement, real-time data can signal the need for changes in the messaging or targeting. The ability to act quickly based on current data helps optimize marketing outcomes.

Jetpack Stats: Real-time data analytics for WordPress sites

When managing a WordPress site, having access to real-time data is essential. Jetpack Stats provides businesses with the tools they need to monitor key metrics as they happen. This tool offers insights into traffic patterns, visitor behavior, and where your audience is coming from, all in a simple and easy-to-use dashboard.

Jetpack Stats is designed to help marketers make timely decisions based on current data. By viewing real-time analytics, you can adjust your content, promotions, or overall site strategy on the go. For example, if you notice a spike in traffic from a particular blog post, you might choose to highlight similar content or amplify your social media promotion of that post.

The analytics tool also tracks engagement metrics, such as views and clicks, which helps you understand how visitors are interacting with your content. Whether you’re monitoring the performance of a new product launch or tracking day-to-day activity, Jetpack Stats gives you a clear view of what’s working and where improvements can be made.

Learn more about Jetpack Stats on the tool’s official webpage: https://jetpack.com/stats/

This entry was posted in Analytics. Bookmark the permalink.

Analytics

Rob Pugh

Rob works on building tools for creators and their audiences. He's focused on building an open, calm platform that will be loved by bloggers, newsletter publishers, and readers alike. He's worked on marketing and product for 15 years, primarily at Automattic, Mailchimp, and UPS.

Simple, yet powerful stats to grow your site

With Jetpack Stats, you don’t need to be a data scientist to see how your site is performing.

Get Jetpack Stats

# contentMap.en
What is Data-Driven Marketing? Why is it Important for Business Growth?

Things aren’t like they were even 50 years ago. Business is more competitive than ever and marketing decisions can no longer rely on intuition alone. To grow effectively, companies must adopt strategies that are backed by reliable data. Data-driven marketing provides marketers with insights that help them make smarter decisions and stay ahead of the competition.

By analyzing customer behavior, preferences, and trends, businesses can better understand their audience and improve their marketing efforts. The result is more precise targeting, better resource allocation, and a higher return on investment. So, what exactly is data-driven marketing, and why does it matter so much for business growth?

What is data-driven marketing?

Data-driven marketing refers to the practice of making marketing decisions based on data analysis and insights. Rather than relying on guesswork, this approach uses concrete information about customers, their behavior, and the effectiveness of marketing campaigns.

The data comes from various sources, such as website traffic, social media interactions, customer purchase histories, and more. By collecting and analyzing this data, marketers can identify trends and patterns to understand what works and what doesn’t. This allows businesses to target the right audience, create more relevant content, and optimize their overall marketing strategies for better results.

Why is data-driven marketing crucial for business growth?

Data-driven marketing is important because it allows businesses to make informed decisions, leading to a more efficient use of resources and better results. Instead of relying on instincts or assumptions, companies can analyze actual data to understand their customers and adjust their strategies accordingly.

By doing this, businesses can improve how they engage with their audience and achieve sustainable growth. Here are several reasons why this approach is vital for success:

1. To better understand customer behavior and needs

With data-driven marketing, businesses can analyze how customers interact with their brand. This includes understanding what motivates customers to purchase or why they leave without completing a transaction. By gaining insights into behavior and preferences, companies can create more personalized marketing campaigns that speak directly to what customers want.

2. To identify high-performing channels

Different marketing channels perform better for different audiences. Data-driven marketing helps businesses identify which channels, whether it’s email, social media, or search engines, are driving the most engagement or conversions. This allows marketers to focus on the platforms that yield the best return on investment and avoid wasting resources on underperforming ones.

3. To improve segmentation and targeting

Data allows marketers to break down their audience into different segments based on characteristics like age, location, or buying habits. This segmentation helps businesses target the right customers with the right message at the right time. More precise targeting leads to higher engagement rates and better overall performance.

4. To reduce reliance on guesswork and intuition

When marketing decisions are based on assumptions, there’s a higher chance of failure. Data-driven marketing eliminates much of the guesswork, providing concrete evidence on what works and what doesn’t. This results in a higher likelihood of success.

5. To make real-time adjustments to campaigns

Marketing doesn’t always go according to plan. However, with access to real-time data, businesses can make adjustments to campaigns as they unfold. Whether it’s tweaking a message or shifting focus to a different channel, having the ability to adapt quickly can improve the chances of achieving desired outcomes.

What is data analytics in marketing?

Data analytics in marketing involves collecting, analyzing, and interpreting data to make informed decisions. It’s the process marketers use to turn raw data into actionable insights. This can include understanding how customers behave on a website, which ads are driving conversions, or how different segments of the audience engage with content.

By using data analytics, businesses can pinpoint areas that need improvement and identify opportunities for growth. It helps marketers track performance, measure return on investment (ROI), and refine their strategies for better results.

At its core, data analytics is about turning information into knowledge. With the right tools, businesses can better understand what’s working in their marketing and what needs to be adjusted. This helps them allocate resources more efficiently and focus on tactics that deliver results.

Examples of data used

In data-driven marketing, various types of data help businesses make informed decisions. Each type of data provides unique insights into customer behavior and preferences. By understanding and leveraging these different forms of data, marketers can craft campaigns that are more targeted and effective.

Demographic data

Demographic data includes basic details about your audience, such as age, gender, income, education, and location. These metrics help businesses understand the general characteristics of their customer base.

Example: A clothing brand might notice that the majority of its online shoppers are women aged 25-34 from urban areas. This data allows the company to tailor its marketing efforts by creating targeted promotions or content that resonates with this demographic group. Other common metrics include marital status, occupation, and household size, which can further refine marketing strategies.

Behavioral data

Behavioral data tracks how customers interact with a brand across various channels. Key metrics here include website visits, time spent on specific pages, email open rates, and shopping cart abandonment rates.

Example: An ecommerce business might observe that users who spend more than three minutes on the product page are more likely to make a purchase. They might, as a result, dedicate more advertising revenue to people who stayed on the page for three minutes and didn’t convert than to those who simply visited for a minute and left.

Another behavioral metric could be tracking the frequency of repeat visits, which can indicate customer loyalty. These metrics help businesses understand user habits and improve the customer experience.

Conversion & event data

Conversion and event data focus on specific actions customers take that align with business goals. Key metrics include conversion rates (the percentage of visitors who complete a desired action, like making a purchase), click-through rates (CTR), and sign-up rates.

Example: An online subscription service might track how many users sign up for a free trial after clicking a banner ad. Another example could be tracking the number of product downloads or webinar registrations. These metrics are critical for measuring the success of marketing campaigns and determining ROI.

Psychographic data

Psychographic data goes beyond surface-level characteristics and looks into customers’ interests, values, attitudes, and lifestyle choices. Metrics in this category might include tracking which types of content users engage with most, such as blog topics or social media posts related to specific causes or hobbies.

Example: A fitness brand might discover that a large portion of its audience is interested in environmentally-friendly products, based on engagement with related content. Another psychographic metric is sentiment analysis, based on customer surveys, which provides insight into how customers feel about a brand or product.

Common data sources for marketers

Marketers have access to many data sources that can help shape their strategies. Understanding where to find this data is key to executing successful data-driven marketing campaigns. These sources provide valuable insights that inform everything from audience targeting to campaign performance.

1. Website analytics tools

Website analytics tools track how visitors interact with a company’s site. They provide data on page views, session durations, bounce rates, and conversions. These insights help marketers see what content or products are resonating with users and what areas need improvement. By analyzing visitor behavior, marketers can optimize their website for better user engagement and higher conversion rates.

Spotlight on Jetpack Stats for WordPress analytics

If your business runs on WordPress, Jetpack Stats is an excellent tool for gathering real-time analytics. Jetpack Stats offers clear and concise insights into your website traffic, showing you which pages are attracting visitors and where those visitors are coming from.

This popular WordPress analytics tool is particularly useful for measuring content performance, identifying trends, and tracking user behavior. By integrating Jetpack Stats, you can monitor key metrics directly in your WordPress dashboard and then make informed adjustments to your content or marketing campaigns. Whether you’re analyzing page views or monitoring visitor origins, Jetpack Stats gives you actionable data in a user-friendly format.

Learn more about Jetpack Stats.

Simple, yet powerful stats to grow your site

With Jetpack Stats, you don’t need to be a data scientist to see how your site is performing.

Get Jetpack Stats

2. Social media metrics

Social media platforms provide their own set of metrics, such as likes, shares, comments, and followers. These metrics help marketers track the effectiveness of their social media efforts and understand what kind of content is engaging their audience. Social media metrics are crucial for measuring brand awareness and driving customer engagement.

3. CRM systems

Customer relationship management (CRM) systems store data about customer interactions with a brand. This data includes purchase histories, customer service interactions, and communication records. Marketers can use CRM data to personalize marketing messages and tailor campaigns to meet individual customer needs, improving customer retention and loyalty.

4. Customer surveys and feedback

Surveys and direct customer feedback are excellent ways to collect qualitative data. While many data sources focus on quantitative metrics, surveys provide insights into customer opinions, preferences, and satisfaction. This feedback can help businesses fine-tune their products, services, and overall customer experience.

How to implement data-driven marketing

Implementing data-driven marketing requires a structured approach. It’s not enough to collect data. Businesses need a clear plan for using it effectively. The following steps outline how marketers can turn data into actionable strategies that drive results:

Step 1: Identify goals and KPIs

Before gathering any data, businesses need to define their marketing goals. Are you looking to increase sales, improve customer retention, or boost brand awareness? Once goals are clear, it’s important to set key performance indicators (KPIs) to measure progress. KPIs could include metrics like conversion rates, website traffic, or customer lifetime value. Clear goals and KPIs ensure that all marketing efforts are aligned with overall business objectives.

Step 2: Collect the right data

Once goals and KPIs are established, the next step is to gather the right data. This might involve setting up website analytics tools, collecting customer feedback through surveys, or pulling data from CRM systems. It’s essential to focus on collecting data that’s directly tied to your KPIs. Instead of overwhelming your team with unnecessary metrics, prioritize the data that will give you meaningful insights.

Step 3: Analyze and interpret the data

Data’s only useful if it’s properly analyzed. Marketers need to dig deeper to identify patterns, trends, and anomalies. The goal is to turn raw data into actionable insights that can inform your marketing strategy.

Step 4: Implement data-informed strategies

Once you have insights from the data, it’s time to act on them. This could mean adjusting your advertising budget to focus on high-performing channels, personalizing email campaigns for different customer segments, or optimizing your website to improve the user experience. The key is to ensure that all marketing strategies are based on the insights you’ve gathered from your data analysis.

Step 5: Continuously monitor, test, and optimize

Data-driven marketing is not a one-time task. Businesses need to continuously monitor their campaigns and make adjustments as new data comes in. A/B testing is a valuable tool for comparing different strategies and finding out which one performs better. Regularly revisiting your data allows you to refine your approach and ensure you’re always moving towards your marketing goals.

Frequently asked questions about data-driven marketing

If you’re new, or even if you’re not, it’s normal to have questions about a fairly technical topic like this. Below, we’ll address some of the most common questions to help guide your learning.

What are key performance indicators (KPIs) in data-driven marketing?

Key performance indicators, or KPIs, are measurable values that indicate how well your marketing efforts are performing. Common KPIs include conversion rates, cost per acquisition, and customer lifetime value. These metrics allow you to track progress toward your business goals and measure the success of your campaigns. It’s important to select KPIs that align with your objectives, ensuring they provide useful insights into the areas you want to improve.

What are some key metrics to track in data-driven marketing?

Several metrics are important in data-driven marketing, including website traffic, conversion rates, engagement on social media, and email open rates. Tracking these metrics helps marketers understand how well their campaigns are performing and where adjustments may be needed. For example, high traffic but low conversion rates could indicate that your landing pages need optimization.

How does A/B testing fit into data-driven marketing strategies?

A/B testing allows marketers to compare two different versions of a campaign to determine which one performs better. This can involve testing different headlines, images, calls-to-action, or even audience segments. By gathering data on how each version performs, you can refine your approach one small change at a time. A/B testing is a valuable tool for optimizing marketing efforts based on data rather than assumptions.

How can data-driven marketing enhance content marketing?

Data-driven marketing can significantly improve content marketing by helping businesses identify what type of content resonates with their audience. By analyzing metrics such as time spent on page, social shares, and engagement rates, marketers can create more targeted and relevant content. This leads to better audience engagement and a stronger connection between the brand and its customers.

How does real-time data benefit marketers?

Real-time data provides marketers with up-to-the-minute insights into how their campaigns are performing. This allows them to make adjustments while the campaign is still running, rather than waiting until the end to evaluate performance. For example, if a social media campaign isn’t getting the expected engagement, real-time data can signal the need for changes in the messaging or targeting. The ability to act quickly based on current data helps optimize marketing outcomes.

Jetpack Stats: Real-time data analytics for WordPress sites

When managing a WordPress site, having access to real-time data is essential. Jetpack Stats provides businesses with the tools they need to monitor key metrics as they happen. This tool offers insights into traffic patterns, visitor behavior, and where your audience is coming from, all in a simple and easy-to-use dashboard.

Jetpack Stats is designed to help marketers make timely decisions based on current data. By viewing real-time analytics, you can adjust your content, promotions, or overall site strategy on the go. For example, if you notice a spike in traffic from a particular blog post, you might choose to highlight similar content or amplify your social media promotion of that post.

The analytics tool also tracks engagement metrics, such as views and clicks, which helps you understand how visitors are interacting with your content. Whether you’re monitoring the performance of a new product launch or tracking day-to-day activity, Jetpack Stats gives you a clear view of what’s working and where improvements can be made.

Learn more about Jetpack Stats on the tool’s official webpage: https://jetpack.com/stats/

This entry was posted in Analytics. Bookmark the permalink.

Analytics

Rob Pugh

Rob works on building tools for creators and their audiences. He's focused on building an open, calm platform that will be loved by bloggers, newsletter publishers, and readers alike. He's worked on marketing and product for 15 years, primarily at Automattic, Mailchimp, and UPS.

Simple, yet powerful stats to grow your site

With Jetpack Stats, you don’t need to be a data scientist to see how your site is performing.

Get Jetpack Stats