A campaign with cheaper leads can lose money while a more expensive one turns a profit. The difference is often hidden in the data you’re overlooking. Learn which types of marketing data reveal what’s really working – and how to use them to make smarter advertising decisions.
Online advertisers can see loads of numbers in their dashboards, but detailed stats alone aren’t enough to succeed. Each metric or set of data serves its own purpose: one helps you understand the target better, another shows how users interact with your ads, and the other one reveals the campaigns that actually perform.
To make the right decisions, it’s crucial to understand the origin of the advertising-related data and what kind of information it contains. In this guide, we’ll look at the four main types and how to use each one to optimize your campaigns.
Join HilltopAds to turn campaign data into better results
with detailed statistics and smart optimization tools.
What Is Marketing Data
Marketing data is information about potential and existing customers, their behavior, interactions with advertising, and the results of marketing activity. It includes everything from stated product preferences and website visits to ad spend, completed purchases, and revenue.
Advertisers rely on this data to make informed decisions, such as:
- Defining the target audience;
- Crafting advertising messages;
- Evaluating the campaign’s results.
Read our article on how to turn paid traffic into repeat customers.
Four Main Types of Marketing Data
One common way to classify marketing data is by its origin and the relationship between a business and the people or organizations providing it. This gives advertisers four types to work with.
| Data Type | Definition | Examples | Advertising Use |
| Zero-Party Data | Information customers intentionally share with a company about their preferences or needs. | Survey answers, product preferences, stated purchase intentions. | Tailoring advertising messages and offers to customer preferences. |
| First-Party Data | Information a company collects directly from interactions with its own audience. | Website activity, CRM records, purchase history. | Creating behavioral audience segments, retargeting, and optimizing for conversions. |
| Second-Party Data | Another company’s first-party data made available through a direct partnership. | Partner audience segments, customer insights shared under an agreement. | Reaching relevant audiences through approved partnerships and co-marketing campaigns. |
| Third-Party Data | Information collected or aggregated by external providers from sources outside a company’s direct audience relationships. | External audience segments, aggregated demographic data, consumer interest insights. | Discovering potential audiences, researching markets, and expanding prospecting campaigns. |
Zero-party data is useful for understanding what customers say they want. The catch is that stated preferences do not always match actual purchasing behavior.
First-party data gives advertisers a closer look at their own audience. Its main limitation is reach: a new business or campaign may have too little historical data to identify reliable patterns.
Second-party data can fill some of those gaps, but the partner’s audience may behave differently when exposed to your offer. Segment relevance needs to be tested rather than assumed.
Third-party data is helpful when exploring unfamiliar markets. However, broad audience segments may contain outdated information, and advertisers often have limited visibility into how the data was collected.
None of these four types automatically guarantees accuracy or lawful use. Before relying on a dataset, check its source, collection methods, freshness, and any restrictions on how it can be used.
Register with the best ad network for advertisers HilltopAds
- 273B+ Impressions Worldwide
- Full manager support
- Traffic from 250+ сountries
- Premium traffic sources only
- Minimum deposit $100
Key Marketing Data Categories and Examples
Along with distinction by origin, marketing data can be classified by the information it contains. This way, advertisers can distinguish between the five categories:
| Data Category | Definition | Examples | Key Insights |
| Demographic Data | Information about the characteristics of an audience. | Age, gender, location, income level. | Who their potential customers are and which audience groups they can reach. |
| Behavioral Data | Information about how users interact with websites, apps, and digital content. | Page views, browsing patterns, cart activity. | What users are interested in and where they are in the customer journey. |
| Transactional Data | Information about customers’ purchases and transaction history. | Purchase frequency, order value, previous purchases. | Which customers generate revenue and how their purchasing behavior differs. |
| Engagement Data | Information about how users interact with advertising and marketing content. | CTR, ad clicks, video views, social media interactions. | Which ads and content attract attention and encourage interaction. |
| Conversion & Revenue Data | Information about completed campaign goals, acquisition costs, and generated revenue. | Conversions, conversion rate, CPA, ROAS, LTV. | Which campaigns generate valuable results and how efficiently advertising budgets are spent. |
For advertisers, it makes sense to look at different categories of marketing data together. For example, if you’re wondering which ads tend to grab the audience’s interest, engagement data should help you reveal the leaders. But when it comes to meeting financial goals, only conversion and revenue data can show you whether that interest leads to the desired results.
We also recommend checking out our recent article:
Which Marketing Data Do You Actually Need for Advertising Decisions
The value of marketing data isn’t in how much you collect, but in what you can do with it. Here’s a short checklist for four common advertising tasks.
Choosing the Right Audience
Start with demographic and behavioral data to get an idea of who might be interested in your offer. Once the campaign has some results, look at where the conversions came from. Break them down by GEO, device, and available audience segments, taking both conversion rate and CPA into account.
A smaller group may turn out to be more profitable than the audience you originally targeted. Also, remember to test such segments separately before committing more budget.
Evaluating Traffic Quality
Low CPC does not mean that the campaign performs well. Some traffic sources bring lots of visitors but few conversions, while others cost more per click and generate more sales.
To assess traffic quality, compare the conversion rate, CPA, and the number of approved leads or sales made by the particular traffic source or ad zone. Revenue data can help you decide which placements deserve more budget and which ones are better left out.
Helena
Senior Sales Manager HilltopAds
Advertisers should pay particular attention to the number and quality of conversions, the offer’s conversion rate, and ROI. This assumes that postback tracking is properly configured.
Reallocating Advertising Budgets
When comparing campaign expenditure, CPA, conversions, and revenue, use the same reporting period. Also, consider what counts as a conversion. A registration at $5 CPA isn’t directly comparable to a sale at $15 CPA.
In case one of your campaigns performs much better than others, you may want to transfer some of your budget there. Moving it all at once would make it harder to judge whether the stronger campaign can handle additional traffic.
Helena
Senior Sales Manager HilltopAds
HilltopAds offers SmartCPM and automatic rules to help advertisers optimize their campaigns. SmartCPM allows you to buy traffic at the current auction price, while automatic rules can exclude unsuitable ad zones without having to check them manually every day.
Scaling Successful Campaigns
Having decided to raise your ad budget, be sure to run a few checks. You need to make sure that CPA and conversion rates have been stable, tracking works correctly, and there’s enough traffic available.
Also, prefer gradual scaling to doubling spend at once. After each increase, see how CPA, conversion quality, and revenue react. Seeing expenses grow without a corresponding improvement in results is a good reason to review the new traffic sources or placements.
Register with HilltopAds and get:
- Advanced targeting options
- Direct traffic sources
- Self-serve platform
- Fully-managed service
- Postback tracking
- Direct traffic sources
When Marketing Data Can Be Misleading
Advertising statistics don’t always reflect how well a campaign is doing. Some metrics may look promising on their own, but tell a different story when compared with actual sales and costs.
Helena
Senior Sales Manager HilltopAds
One common mistake is stopping a campaign too early because it hasn’t delivered quick results. Advertisers also tend to skip A/B testing of creatives and pre-landing pages or rely on overall campaign statistics without looking at individual traffic sources and targeting segments.
Misleading Performance Metrics
After changing a creative, you may observe an increase in the CTR even though the orders remain stable. This means that the extra clicks aren’t bringing additional purchases. The conversion rate in that case should reveal the gap, and the landing page analytics should help you discover why the visitors stop their journey.
CPA has its own traps. Getting cheap registrations is one thing, but some of those leads may never pass verification or make a purchase. Approval rates and the number of paying customers give you a better picture of their quality. With ROAS, it’s worth looking at profit margins as well. The metric compares revenue with ad spend, leaving out product costs, commissions, refunds, and other expenses.
Take two campaigns with $200 spent on each. Campaign A gets 40 leads at $5 apiece, and four of them end up buying. Campaign B pays $10 per lead and gets only 20, but ten turn into customers. At $35 per sale after other variable costs but before ad spend, Campaign A is $60 in the red. Campaign B makes $150. Judging by lead CPA alone, you’d have put your money on the wrong campaign.
Missing Conversion Data
Zero conversions in the campaign report don’t always mean the traffic was wasted. Some visitors may have completed a purchase, but the sales never appeared in HilltopAds statistics. A missing or incorrectly configured postback could be the reason. Without reliable conversion data, advertisers may end up cutting useful ad zones and keeping the ones that only generate clicks.
With HilltopAds postback tracking, conversion events can be sent from an external tracker back to the advertising platform. The setup uses a unique postback URL and the {{ctoken}} parameter for click attribution.
HilltopAds also has a Test Conversion option in the Trackers tab. Use it to check the connection, and compare the recorded events with your tracker’s reports. Otherwise, you may end up cutting a traffic source that was bringing customers all along.
Insufficient Data
Early campaign results can be very unstable. Two sales from a small batch of traffic may produce an excellent CPA, but a few more clicks without conversions can change the figure considerably.
A short reporting period creates another problem. Users don’t always convert immediately, so recent clicks may have generated costs without their eventual conversions appearing yet.
Avoid making major budget or targeting changes based on a single good day or a handful of conversions. Compare performance over a longer period, taking traffic volume and conversion delays into account. Segments with little activity may simply need more data before you can judge them.
Also, check out success stories from our advertisers:
Conclusion
Different types of marketing data answer different questions. With certain categories of data, you can understand your audience better, while with others, you can identify what attracts a response. Meanwhile, conversion and revenue records tell you whether the campaign is paying for itself.
Define the decision, compare the relevant metrics, verify their source, then test the change. What matters is knowing where the budget actually produces valuable results.