Stop Counting Twice: Using Repeat Rate for Accurate Conversion Metrics

I like to use a common scenario to explain the power of repeat rate. Imagine you’re managing a Google Ads campaign for a bustling online store. You’re on top of every metric, and campaign detail, and the numbers look fantastic—conversion rates are up, and the reports show strong results. But then, you notice something strange: despite a spike in conversions, actual revenue hasn’t kept pace.

Let’s say Google Ads reports 100 sales at $50 each, giving you an impressive $5,000 in revenue. But when you check your actual store data, you discover that 30 of those sales were double-counted—a user reloaded the “thank you” page, or a tracking glitch fired twice. Suddenly, you’re looking at only 70 real sales worth $3,500. That’s a whopping $1,500 in phantom revenue inflating numbers like your ROAS!

This could arise in situations such as the ones mentioned above, customers reloading the “thank you” conversion page twice or in case of lead generation it could be a customer submitted the form twice, but Google Ads is adding each repeat conversion to the total as if it were brand new.

This double-counting can be a real pain point for Digital Marketers. It doesn’t just make reporting confusing; it can also skew your entire ad strategy, making it harder to pinpoint the true impact of your campaigns. For businesses, especially those relying on precise ROI calculations to determine budgets, this inaccuracy means decisions are being made on unreliable data. That’s where understanding and optimising your repeat rate comes in—it gives you a clear, reliable view of actual customer behaviour without overcounting conversions.

This article will walk you through what repeat rate is, why it matters, and how to use it to make your conversion data more accurate. If you’re ready to take the guesswork out of conversion measurement, let’s dive in!

(P.S.: It’s important to understand other fundamental metrics and how to calculate them before getting into repeat rate. Learn more here)

What is Repeat Rate?

In Google Ads, repeat rate is a metric that measures how often the same individual converts within a specified conversion window. Think of it as your answer to the question, “How often are customers returning to take action?” It’s calculated by dividing the total number of conversions by the total number of unique conversions, resulting in an average number of times each customer converts. 

For example, if your repeat rate is 1.3, it means that, on average, each customer is converting 1.3 times over the course of the defined conversion period.

Repeat rates can vary significantly by industry, which helps provide context for your numbers. For instance, an e-commerce store selling direct-to-consumer goods might naturally see a repeat rate of 1.3 to 1.5—customers returning to make repeat purchases like clothing or accessories within a short window. On the other hand, a real estate agent would likely see a repeat rate much closer to 1.0, since clients rarely purchase multiple homes simultaneously.

Understanding this nuance ensures you’re evaluating repeat rate realistically within your industry’s benchmarks.

Where can I find Conversion Repeat Rate?

To find Repeat Rate follow these simple steps

Step 1: Go into the main toolbar

Step 2: Click on Goals and then Conversions Summary

Step 3: Click “View all conversion actions:

Step 4: Click Columns and go to Modify Columns

Step 5: Here you can simply search for “Repeat Rate”

And voila! You are ready to go.

Counting Conversions

In this you have 2 options i.e. “Every” and “One”, these settings control how Google Ads counts conversions when the same user completes the same conversion action multiple times within a specified conversion window. If you would like to learn more about how to set up bulletproof conversion tracking, you can check out our article on the topic here.

“Every” Conversion Setting

• When you choose the “Every” setting, Google Ads will count each instance of a conversion, even if the same user completes the action multiple times.
• Example: If a customer fills out a lead form twice or purchases the same item multiple times in a very short period, each form submission or purchase will be counted as a separate conversion and be attributed as a conversion from the ads.
• Best for: This setting is useful for conversion actions where each repeat interaction adds value, like purchases in e-commerce where each sale counts towards revenue. If tracking multiple sales or downloads, “Every” provides a clearer view of total conversions for that action.

“One” Conversion Setting

• When you select the “One” setting, Google Ads will only count the first instance of a conversion action within the conversion window, ignoring any repeats by the same user.
• Example: If a customer clicks an ad and signs up for a newsletter twice, only the first sign-up will be counted as a conversion.
• Best for: This is ideal for conversion actions where only the initial interaction matters or where repeat actions do not add value. It’s commonly used for lead generation goals like form submissions or sign-ups, where only the first conversion by a user typically impacts the business.

Choosing the right conversion window

The conversion window is the timeframe in which Google Ads tracks conversions after an interaction with your ad. It’s an essential setting because it determines the data that feeds into key metrics like repeat rate. Choosing the right conversion window isn’t just a technicality—it’s a strategic decision that can significantly impact how you interpret campaign performance and make optimization decisions.

Why Conversion Windows Matter

Imagine this: you run a bakery offering a flash sale on cupcakes for one day. Now compare that to a furniture store selling dining sets with a long decision cycle. The bakery may see most conversions happen within a 24-hour window, while the furniture store might take weeks to finalize a sale. If both businesses used a default 30-day conversion window, one would overestimate delayed conversions, and the other might miss tracking altogether.

The conversion window you choose directly impacts how accurately your data reflects customer behavior. For example, a shorter window might undervalue ads for businesses with longer decision cycles, while an excessively long window might inflate repeat rate metrics for fast-moving consumer goods.

Picking the Right Window for Your Business

Short Conversion Windows (1-7 days):

• Best for fast transactions like e-commerce sales, event tickets, or food delivery.
• Captures quick decision-making patterns.

Medium Conversion Windows (7-30 days):

• Ideal for products with moderate consideration time, such as subscription services or mid-range electronics.
• Balances immediate conversions with longer customer journeys.

Long Conversion Windows (30+ days):

• Suitable for high-ticket items or B2B services where decisions are made over weeks or months.
• Ensures long-term attribution for leads or complex sales cycles.

The Impact on Repeat Rate

Your repeat rate is tied to the conversion window you set. A short window may result in a lower repeat rate because it limits the timeframe for multiple conversions to occur. Conversely, a long window might inflate the repeat rate, especially for businesses with returning customers or subscription models.

How to Leverage Repeat Rate for your Marketing Strategy?

 

Detecting and Preventing Double Counting

Double counting occurs when a single user makes one conversion action & it’s counted multiple times or when a single user makes the same conversion multiple times. For example, say a potential customer fills out your lead form twice or reloads a “thank you” page after completing a purchase. Without paying attention to Repeat Rate, you might assume you’re generating more unique leads or purchases than you actually are.

Warning Signs of Double Counting

There are a few red flags that should prompt you to investigate your Repeat Rate:

• Discrepancies between Google Ads and real sales data: If Google Ads is reporting 100 sales, but your actual transactions or revenue don’t align, something might be off. For instance, you might see 100 sales at $50 each, but if 30 of those were counted twice, that’s $1,500 in phantom revenue.
• Conversions happening within seconds of each other: Unless it’s a multi-step funnel, multiple conversions recorded in quick succession can signal duplicate reporting.
• Conversion numbers that seem too good to be true: If conversion volume spikes unusually without a corresponding increase in business performance, it’s worth a closer look.

Legitimate Reasons for a High Repeat Rate

Before you hit the panic button, keep in mind that a high Repeat Rate can be completely legitimate, depending on your business model:

• Subscription-based businesses: Customers returning to renew subscriptions or purchase add-ons can naturally drive repeat conversions.
• E-commerce businesses with consumable products: Think of a shaving brand—customers frequently come back to purchase refills within the same conversion window. A repeat rate of 1.3–1.5 could be perfectly normal here.

The key is to cross-check your Repeat Rate against your business data. If the numbers align and make sense for your business model, great! But if something feels out of place—like inflated sales or implausible conversion timing—it’s time to audit your tracking setup.

Analyse Conversion Path Reports

Use Google Ads’ Conversion Paths report alongside Repeat Rate data to understand common paths users take before they convert. Identifying and optimising these touchpoints—whether it’s through specific ad types, landing pages, or even other channels—can reveal what resonates with users and influences repeat conversions.

Optimising Your Campaigns for Customer Lifetime Value

By using Repeat Rate, you can better understand customer lifetime value (CLV) and optimise campaigns accordingly. If Repeat Rate shows that customers tend to convert multiple times (e.g., they return to purchase after a week), this could be a cue to nurture these relationships with targeted remarketing or special offers. If you’re seeing low Repeat Rate on purchase-related actions, it may mean one-time purchases dominate, and there’s potential to implement retention strategies.

In short, Repeat Rate can be a window into customer behaviour, helping you avoid the pitfall of inflated conversion data and ensuring you’re getting the full story on customer engagement. Understanding it means you’ll get closer to your real ROI and be able to build campaigns that reflect the true journey of your users – from curious clickers to loyal customers

Designing Landing Pages and User Experience to Minimize High Repeat Rates

Another key element in high repeat rates could be poor User Journey design or inefficient landing pages. Your landing page design and overall user experience play a critical role in preventing inflated repeat rates. A poorly optimized flow can lead to multiple submissions of the same form or duplicate actions. Here’s how to streamline the experience:

1. Use Confirmation Pages Wisely: After a user completes an action, redirect them to a unique “Thank You” or confirmation page. This prevents accidental resubmissions and helps track conversions more accurately.
2. Disable Auto-Refresh on Conversion Pages: Ensure that your “Thank You” page or checkout confirmation doesn’t auto-refresh, as this can trigger duplicate conversions.
3. Implement Clear Feedback: Provide immediate visual or text feedback, like a confirmation message or email, so users know their action was successful without feeling the need to repeat it.
4. Limit Session Overlaps: Avoid situations where a single session can lead to multiple recorded conversions, like pop-ups asking for the same action repeatedly.

To dive deeper into Landing Pages, we suggest reading 8 Landing Page Optimization Best Practices.

When to Seek Help

If you’ve noticed persistent discrepancies in your conversion data, suspiciously high Repeat Rates, or simply aren’t sure where to start, it might be time to call in the experts. At Hop Skip Media, we specialize in diagnosing tracking issues, eliminating double counting, and ensuring your Google Ads campaigns deliver clean, actionable data.