Boost Your Business With Data

Last updated on February 25th, 2025 at 10:58 am

Numbers tell important stories about your business — which products sell best, why customers leave, and where you’re making the most money. However, many business owners feel overwhelmed when looking at their data. They collect information from their website, sales, and customer service but aren’t sure how to use it to make better decisions.

You don’t need to be a data scientist to put analytics to work. A simple analysis of your existing business data can help you spot problems early, understand your customers better, and find opportunities you might have missed.

In this blog, we’ll look at 5 practical ways to use analytics to improve specific parts of your business, from fixing your sales funnel to getting better prices.

Before we dive into using analytics in your business, let’s find out the 4 different types of analytics that you can use for different business questions.

Different Types of Analytics

When you know which type of analytics to use, you can pick the right approach for whatever you’re trying to figure out in your business.

Descriptive Analytics

This is about understanding what has already happened in your business. You analyze past data to spot patterns and trends.

For example, you might look at which marketing campaigns brought in the most leads last quarter or which zip codes most of your customers come from. This helps you understand your business’s current performance and historical trends.

Diagnostic Analytics

This type of analytics helps you figure out why something happened. For example, if you notice your conversion rate dropped last month, diagnostic analytics would help you dig deeper to find the cause — maybe it was a website change, a price increase, or seasonal factors. It helps you understand the reason behind your business results.

Predictive Analytics

This helps you make educated guesses about what might happen in the future. It uses historical data to spot patterns and predict likely outcomes. 

For instance, you could predict which leads are most likely to become customers or forecast how many calls you might receive next month based on past patterns. It’s like having a weather forecast for your business.

Prescriptive Analytics

This type tells you what actions you should take to get better results. It combines what happened in the past with predictions about the future to suggest the best path forward. For example, it might recommend the best times to call potential sellers or suggest which marketing channels to invest in based on their likely return on investment.

5 Ways to Leverage Analytics to Improve Your Business

Let’s look at some practical ways to use data analytics to improve specific aspects of your business.

1. Analyze Drop-Off Points in Your Sales Funnel

A sales funnel shows how customers move from first finding your business to buying something from you. More people enter at the start, and fewer make it to the end, where they buy something.

Drop-off points are places where people stop moving forward and leave. Finding these points helps you understand why customers aren’t buying so you can fix the problems.

Let’s say you run a small bakery with a website. Your sales funnel might look like this:

• People find your website
• They look at your menu and prices
• They try to place an online order
• They complete the purchase

When you look at your website data, you might see that 100 people visit your menu page, but only 20 people start an order, and just 10 complete it. This tells you that something is stopping people between viewing the menu and placing an order. Maybe your ordering process is too complex, or you haven’t explained your delivery areas clearly. Once you know this, you can make improvements — like making the ordering form simpler or adding better delivery information.

Each business has different drop-off points. Start by looking at your numbers to find your biggest drops, then use this table as a guide to fix those problems first.

Here’s a simple table showing common drop-off points and solutions:

Where People Leave	What This Means	What You Can Do
After landing on your website	They don’t find what they’re looking for quickly	Make your main products/services visible on the home page, add a clear navigation menu
After seeing prices	Your prices seem too high compared to what customers understand about your value	Add product photos and customer reviews, highlight product quality, and show what makes your product special
During ordering process	The ordering form is confusing or asks for too much information	Reduce form fields, add a progress bar, and make the form mobile-friendly
At payment step	People don’t trust your payment system or find it hard to use	Add trusted payment badges, offer multiple payment options, and make error messages clear
At delivery information	Shipping costs are too high, or delivery times are unclear	Show delivery costs early, offer free shipping above a certain amount, and show clear delivery times
After adding to the cart	People are comparison shopping or get distracted	Send cart reminder emails, add a “save for later” option

If you want to build a sales funnel that guides visitors smoothly through each step, try ClickFunnels. You can build landing pages, add upsells, and connect your email marketing all in one place. 

You can choose from a set of templates or start from scratch.

The platform makes it easy to test different pages, optimize what’s working, and scale your results. And since everything is connected, you’ll see exactly how your changes impact your bottom line.

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2. Use A/B Testing to Identify the Best Performing Variations

In A/B testing (or split testing), you create two versions of something (version A and version B), show them to different groups of people, and measure which version performs better. The key is that you’re making decisions based on real data from your customers, not just opinions.

You can use A/B testing for almost any business decision:

For example, in marketing, you can use it to test two different email subject lines to see which gets more opens or two different website layouts to see which gets more sales.

In operations, you can A/B test between two different store layouts to see which leads to more purchases or two different customer service scripts to see which resolves issues faster.

A/B testing is also helpful in product development. You can test two different product features to see which customers use more.

Here’s a quick guide on how to run an effective A/B test:

1. Start with a clear goal (like “increase website sales”)
2. Choose what to test based on your goal
3. Create two versions that are different in just one way
4. Split your audience randomly into two equal groups
5. Run both versions at the same time (timing matters!)
6. Collect enough data to be sure about the results
7. Compare the results using the metrics that matter to your goal
8. Implement the winning version

Let’s say you want to test if adding a money-back guarantee increases sign-ups on your fitness coaching landing page.

Element	Version A (Current)	Version B (Test)
Price Display	“$97/month”	“$97/month with 30-day money-back guarantee”
Everything else	Exactly the same	Exactly the same

Test Duration: 4 weeks

What You Measure:

Metric	Why This Matters
Conversion Rate	% of visitors who sign up
Sign-up Numbers	Total new customers
Revenue	In case the guarantee affects payment completion
Refund Requests	To track if the guarantee is misused

Results Example:

Version	Visitors	Sign-ups	Conversion Rate
A	500	10	2%
B	500	20	4%

Now you know that adding the guarantee increases your conversion rate by 100%. You can make the winning version (with a guarantee) your new standard page and also add similar guarantees to other products/services.

ClickFunnels simplifies this testing process with built-in A/B testing tools. You can create two versions of your page with a few clicks, automatically split your traffic, and see clear results showing which version performs better.

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3. Find Your Perfect Price Points Using Sales Data

Finding the right price for your products or services is crucial — too high, and you lose customers, too low, and you lose profit.

Instead of guessing prices or just copying competitors, smart businesses use sales data to find exactly what prices work best. This is where analytics becomes powerful. It shows you three important things:

1. How many people buy at different prices
2. How much money do you make at each price
3. Where you hit the perfect balance of customer happiness and profit

Say you own a coffee shop and sell lattes. Your costs are $2 per cup (including coffee, milk, labor, and overhead). Using your point-of-sale system, you track sales as you test three different prices over three months:

Price	Daily Sales	Daily Revenue	Daily Profit
$3.50	120 cups	$420	$180
$4.00	100 cups	$400	$200
$4.50	80 cups	$360	$200

Without this data, you might think $3.50 is best because it brings in the most money ($420). But the data reveals something different – at $4.00, you make more profit while keeping good sales volume.

This same thinking works for any business. Keep track of your sales at different prices, factor in your costs, and you’ll find the price that works best for both you and your customers.

4. Use Data to Predict Trends and Make Better Decisions

When you collect data consistently in your business, you can analyze it to spot patterns and prepare better for what’s coming. Instead of reacting to changes, you can anticipate them and be ready.

Let’s take a digital marketing agency as an example, and let’s say this is what their analytics show: 

Time Period	Pattern	What It Means
Q1 (Jan-Mar)	40% more client requests	Businesses planning new year marketing
October	30% increase in e-commerce clients	Preparing for the holiday season
Summer	More website redesign projects	Businesses use quiet periods for updates
Month-end	Higher support ticket volume	Clients reviewing monthly reports

Using this data, they can hire freelancers before busy periods, schedule team training during slower months, or create ready-to-use campaign templates for the holiday season.

When you understand these patterns, you can make smarter decisions about ordering, staffing, and planning. Instead of guessing, you’re using your own business data to guide your choices.

5. Learn What Makes Your Regular Customers Different

Analytics helps you spot patterns in your online customer data to understand why some customers keep coming back while others buy once and disappear. Once you know this path, you can guide new customers along the same route — showing them the same options, benefits, and features that turn other customers into regulars.

Let’s say your data shows that regulars found you through Instagram, so you can focus your paid ads there to find similar customers. Or when you notice what keeps regulars coming back (like subscribing & saving), you can highlight these benefits to first-time buyers right after their purchase.

Looking at your regular customers’ data doesn’t require expensive tools or complex systems. Most of this information is already available in the basic tools you use to run your online business.

Here’s where to find this valuable data:

Google Analytics shows your customer behavior:

• How often do they visit your site
• Which pages do they view most
• Where they came from (Google, social media, or ads)
• How long they stay on your site

Your e-commerce platform (like Shopify or WooCommerce) has your most important sales data. It shows you who’s buying, what they’re buying, and how often they return. Look for:

• Purchase history
• Average order amounts
• Time between purchases
• Popular product combinations

You don’t need to track everything. Start with questions you want to answer about your customers, then look for data that helps answer these questions.

Final Thoughts

While understanding analytics can seem complex, having the right tool can make it much simpler.

If you’re looking to combine your marketing and analytics in one place, ClickFunnels handles both – tracking your customer journey, testing different pages, and showing you exactly where people drop off in your funnel.

Instead of piecing together different tools and data sources, you get all your marketing metrics in one dashboard. You can spot issues quickly, test new ideas, and see what’s working without getting lost in spreadsheets or complicated reports.

Want to see how it works?

Start a 14-day free trial of ClickFunnels and explore the analytics features yourself. You’ll get to test different landing pages, track your results, and use data to grow your business — all in one place.

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