From attributes to insights

A campaign report shows that one ad has a higher click-through rate than another. You open both creatives and start comparing them.

One shows a person using the product. The other shows the product on its own. The colors are different. So are the opening message and the call to action.

Which of those differences is worth exploring?

With two ads, the team can discuss what it sees. Across hundreds of creatives, that becomes harder. Someone needs to review the work, describe its characteristics, and connect those descriptions to performance.

Omnitor’s creative intelligence helps organise that investigation. It brings creative attributes into the reporting view, giving teams a way to explore what their ads have in common and how those characteristics relate to results.

Give the creative itself a place in the data

Campaign data describes where and how an ad runs. It can tell you the market, channel, campaign, and format.

Creative attributes describe the content of the ad.

A product image and a lifestyle image may sit within the same campaign and use the same format. Visually, they take different approaches. A campaign-level report can miss that distinction unless the creative content is described as well.

Omnitor organises creative analysis around attributes such as:

• Subjects: what appears in the creative, such as a person, product, or food.

• Products and services: what the ad features or promotes.

• Dominant colors: the main colors present in the creative.

• Mood: the tone the creative conveys, such as calm or energetic.

• Style: the approach used, such as lifestyle imagery or a product shot.

• Calls to action: the action the ad asks someone to take.

These descriptions give teams more ways to explore their creative collection. Instead of reviewing only individual ads or campaign names, they can look across ads that share a characteristic.

Connect three kinds of information

Creative intelligence becomes useful when the attributes stay connected to the campaign context and the results.

Each contributes something different.

The creative tells you what people saw.
The asset and its attributes describe the content, message, and presentation.

The campaign structure tells you where it belongs.
Fields such as market, channel, and format help define the group you are reviewing.

Performance tells you what happened.
Metrics such as impressions, clicks, spend, and CTR show how the ads performed within the selected reporting period.

Omnitor brings these views together. A team can move from a performance question to a group of creatives, then examine the characteristics behind that group.

For example, “Which ads had the highest CTR?” can lead to a more focused question: “Among image ads for this product and market, how did product shots compare with lifestyle imagery?”

The second question gives the team a clearer basis for investigation.

Look for patterns across the work

The insights view lets teams review creative attributes alongside performance measures and the number of creatives represented.

That last detail matters. A category represented by one ad offers a different amount of evidence from a category represented by several dozen.

Suppose a report shows that creatives featuring people outdoors have a higher CTR than the account average. The finding is worth a closer look, but there are several questions to answer before using it in a brief.

How many creatives are in that group? Did one ad account for most of the delivery? Were they promoting the same product? Did they run in similar markets and placements? Were they active during the same period?

Reviewing the underlying creatives also matters. Two ads can share an attribute while differing in almost every other respect. “Person outdoors” might describe both a product demonstration and a short customer story.

The attribute helps you find the group. Looking at the ads helps you understand it.

Read a comparison precisely

Consider an illustrative report showing:

• 0.58% CTR for a selected group of outdoor lifestyle creatives.

• 0.42% CTR for the account average during the same reporting period.

The difference is 0.16 percentage points, or approximately 38% higher relative to the account average.

That is an observed comparison. It does not mean that changing an indoor scene to an outdoor scene will increase CTR by 38%.

The outdoor creatives may have reached a different audience. They may have used a stronger offer or received more delivery in a placement where response rates are higher. Several characteristics could be contributing to the result.

The comparison is also against the account average, which may include a broad mix of campaigns. Comparing with a more closely matched group could produce a different result.

Omnitor gives teams a way to surface and examine these relationships. The interpretation still needs to account for the conditions in which the ads ran.

Treat creative descriptions as something to review

Some attributes are straightforward to recognise. Others involve interpretation.

An ad may clearly contain a product, but its mood could reasonably be described as both calm and premium. A creative may combine lifestyle imagery with a product demonstration. A video may change its setting and message as it progresses.

Those descriptions are useful for organising the work, but they should be read alongside the actual creative. A label cannot capture every detail of an ad.

When a pattern looks important, open representative examples and check whether the group reflects the question you are trying to answer. If the ads vary widely, narrow the comparison or treat the finding as an early indication.

This is especially important for attributes such as mood and style, where the boundaries are less clear than a campaign field such as market.

Turn a pattern into a specific question

A useful finding gives the team something concrete to investigate.

Imagine that product-in-use creatives appear to have a higher CTR than product-only images in a selected report. After reviewing the ads and their campaign context, the team decides the difference is worth testing.

The next brief could ask for two executions of the same concept:

Version A: show the product on its own.
Version B: show a person using the product.

The team keeps the offer, message, call to action, audience, and placement as consistent as practical. It agrees on the primary metric before launch and considers other relevant results when reviewing the test.

The question is now specific: does showing the product in use improve response under these conditions?

That is more actionable than a broad instruction to “make more lifestyle content.” It also gives the team a clearer way to interpret the next set of results.

Choose the metric that fits the question

Creative performance has several dimensions. A higher CTR can be useful, but it does not automatically mean an ad generated more valuable visits or more conversions.

The metric should follow the question.

If the team is testing whether an opening earns more attention and response, CTR may be relevant. If it is reviewing a call to action intended to drive purchases, conversion performance may be more important.

Keep metric names clear when sharing findings. Click-through rate and conversion rate answer different questions, and a percentage without that context is easy to misread.

The same applies to the comparison: specify whether a result is being measured against an account average, another creative group, or a previous period.

Make the finding useful to the next person

The most useful outcome of creative analysis is a finding someone else can understand and review.

It should identify the group of ads, the reporting period, the metric, and the comparison. It should link back to the creatives and make clear what remains uncertain.

That gives a designer, media buyer, or marketing lead enough context to decide what to do next.

Omnitor connects creative attributes with campaign information and performance so teams can build that understanding