Following on from our recent webinar which focused on “The Importance of Owning and Utilising your own Customer Data”, we thought it would be super useful to highlight some challenges that can arise when analysing data and insights.
If you didn’t catch our webinar, please see the recording below:
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Many business owners want to make smarter decisions with their marketing, but the data they rely on isn’t always accurate. Sometimes the numbers look great, but the real story behind those numbers is very different.
In this article, we’ll look at the most common problems businesses face when analysing their marketing data, including bot clicks in email campaigns, differences between Shopify and Google Analytics, Google’s frustrating “(not provided)” keyword issue, and why clean, accurate data is essential for good marketing.
If you want to understand your analytics more clearly — in simple terms — this guide is for you.
Why Marketing Data Can Be Misleading
Marketing platforms often show results that look impressive on the surface. But without digging deeper, those numbers can easily lead you in the wrong direction.
The most common reasons marketing insights become misleading include:
- Bot activity inflating data
- Missing keyword information
- Tracking tools that don’t match
- Inconsistent customer data
- Small sample sizes that create false spikes
Let’s break each of these down in a clear, easy-to-understand way.
1. Ever opened an email report and thought “Wow, the click through rate is amazing!”
One of the biggest hidden issues in email marketing today is bot activity. Recently, we saw a very high click-through rate on one of our campaigns and assumed it had performed brilliantly. But when we looked closer, many of the “clicks” came from bots scanning links for security checks — not real people.
How bot clicks affect your data
- They inflate your click-through rates
- They give a misleading impression of engagement
- They make it difficult to judge which content actually works
You might notice that clicks appear instantly after the email is sent, or that every link in the email has been clicked. These are clear signs that bots — not humans — are responsible.
Why this matters for your marketing
If you’re judging your email success on these surface numbers, you’re not seeing the real picture. To get accurate insights, always check:
- How people behaved once they reached your website
- Which clicks were genuine and spaced out over time
- Whether the landing page activity matches the email report
2. “(Not Provided)” in Google Analytics: What It Means and What You Can Do
When analysing website traffic, many business owners get frustrated by the keyword “(not provided)” in Google Analytics. It shows up because Google hides certain search terms for privacy reasons.
Can you use “(not provided)” in reporting?
Yes — but only as a placeholder to show that some data is hidden. You can’t extract useful insights from it, but it helps explain any gaps in your reports.
How to find better keyword information
If you want real keyword insights:
- Use Google Search Console
- Check which pages get the most organic traffic
- Look at trends rather than individual keywords
You won’t get the full list of search terms, but you’ll get enough context to understand how people are finding your website.
3. Shopify vs Google Analytics: Why the Numbers Never Match
If you’ve noticed that your Shopify data doesn’t line up with Google Analytics, you’re not alone. Many business owners assume something must be broken — but this difference is completely normal.
Shopify measures data directly at checkout, while Google Analytics measures user behaviour in the browser. Because of this, the two platforms track in different ways and will rarely show the same numbers.
When to trust Shopify
- Revenue totals
- Order numbers
- Conversion value
When to trust Google Analytics
- Website visitor behaviour
- Traffic sources
- Time on site
- Page performance
Instead of trying to make the numbers match, focus on using each platform for what it does best.
4. Why It’s Hard to Know Which Marketing Channel “Worked”
Modern customers rarely follow a straight line. They might see a social post, visit your website a few days later, join your email list, and then buy after a Google search. Each platform will claim credit for the sale, which makes attribution confusing.
The simple way to approach this
Instead of trying to identify one perfect answer, look for patterns:
- Which channels bring new people in?
- Which ones consistently lead to enquiries?
- Which ones help build trust over time?
Marketing success is usually the result of multiple touchpoints working together, not one magic source.
5. The Importance of Data Cleansing in Marketing
One of the most overlooked parts of marketing is data quality. Clean data leads to better results, better targeting and more accurate reporting. Messy data does the opposite.
Incorrect spelling, wrong email addresses, duplicate contacts and inconsistent formatting all cause problems behind the scenes — from emails bouncing to personalised messages showing up as “HELLO JOHN”.
Why data cleansing matters
- Your emails perform better
- Your personalisation improves
- Your reports become more trustworthy
- Your customer experience feels more professional
- What to clean regularly
- Email addresses
- Customer names and formatting
- Duplicate contacts
- Old or inactive subscribers
- Tags and segments you no longer use
Good marketing starts with good data. It’s as simple as that.
6. Other Common Problems With Marketing Data
There are a few more challenges worth mentioning because they affect many businesses:
Inconsistent tracking
Some links use proper tracking tags and others don’t, leading to patchy results.
Different platforms define metrics differently
A “view”, “click”, or “session” means something slightly different on every platform.
Small amounts of data create dramatic percentages
If only a few people click something, your percentage results can look extreme even though the numbers are small.
Seasonality affects results
School holidays, weather changes, pay days and events all influence your data more than you’d expect.
Understanding these factors helps you avoid false conclusions.
How to Get More Accurate Marketing Insights
You don’t have to be a data expert to understand your marketing. You just need to know what the numbers really mean — and what might be misleading.
Before spending money on paid advertising, make sure:
- Your tracking is set up properly
- Your customer data is clean
- You understand the limits of each platform
- You look for trends instead of perfect answers
Once your data is reliable, your marketing decisions become clearer, easier and far more effective.
If you would like further guidance on this, feel free to reach out and we can chat.
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