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July 22, 2026

How a Spy Service Helps You Find Trending Creatives

How a Spy Service Helps You Find Trending Creatives

A spy service helps you find public ad creatives by niche, traffic source, and GEO. It cuts the time spent on initial analysis and supplies material for your own hypotheses, but it does not show the economics of someone else's campaign. Every ad you find still has to be assessed, adapted, and validated with your own test.

Teams with dedicated copywriters and designers can prepare more variants in parallel. A solo media buyer rarely keeps that pace. A spy service simplifies the selection of ideas that are already running in ads. The creative itself still has to be produced in-house.

Creative analysis is only one part of traffic arbitrage work. Any idea you find has to be checked against the audience, the platform rules, and the rights of the owner. Copying material directly without permission is prohibited by the Spy.House terms.

What is a spy service and what is it for?

A spy service means a database of publicly available ad materials with search, filters, and statistics. Spy.House collects ads in Facebook, TikTok, Push, and Inpage formats. The results let you study copy and visual techniques, but the service does not confirm that an individual creative was profitable.

Competitor ad creatives listed in the Spy.House spy service

A database like this does not show spend, payouts, or campaign ROI. It gives you a direction to verify. Treat recurring themes and formats as a source of hypotheses rather than material to copy.

How do you use a spy service to find creatives?

Start by choosing a niche and a GEO. The work ends outside the service, with a test of your own creative. In the results, look for recurring techniques, because one striking example proves nothing. Even neighbouring countries can respond differently to the same ad because of language and local context.

As an example, take a search for football creatives for Brazil. The scenario shows how the filters work and predicts nothing about demand or click price. Those numbers depend on the offer, the audience, and the moment of launch.

Step 1. Set the filters and select creatives

First, define the search conditions for the chosen niche. The example uses sports advertising for Brazil in the Facebook format. Enter the key phrase soccer betting and select Brazil in the country filter.

Setting Spy.House filters to search creatives by keyword and GEO

Run the search and review the results. An empty result for one keyword does not mean the niche has no ads. Change the wording, repeat the query in Portuguese, then compare the two sets.

Step 2. Analyse the bundle and how long it has run

As you browse, save the relevant ads into a separate collection. The Spy.House terms confirm that user collections can be stored. Compare several approaches and mark the recurring elements: the format, the opening line, the composition, or the type of offer.

Selecting ad creatives and saving them to a collection in Spy.House

Once you have a shortlist, open a creative card and review the available data. The service shows how long the ad has been running, and the plans include landing page downloads. The run period lets you tell a new ad from one that has been observed for longer. There is no profit data here.

Do not turn the number of days into a ranking. A long run can mean a stable campaign, a reused ad, or incomplete source data. Spy.House explicitly does not guarantee the absolute accuracy or timeliness of information obtained from third parties. Compare the run period against the format, the first appearance date, and other creatives in the same set.

Reviewing how long a creative has been running in Spy.House

Step 3. Prepare your own version and launch a test

Prepare your own material before the test. The Spy.House terms allow the data to be used for analysis, but prohibit copying and commercially using someone else's ad materials without the rights holder's permission. Editing metadata does not create that permission and does not protect you from moderation.

Use the technique you found as a hypothesis, then create the copy and the visual from scratch for your own offer. Localise the wording and the details for the specific GEO. That way you validate the approach without repeating someone else's ad.

Fix the budget and the metrics before launch. Then compare the variants under identical conditions. Only the hypotheses that met the test criteria deserve further work. Those results, not the position of a creative in the search output, define the next step.

How do you scale a winning ad bundle?

Scale only the bundle that met the criteria you set for the test. One profitable day says nothing about stability. Check the result over a longer stretch and raise the budget gradually, watching spend and traffic quality.

At this stage, controlling the test variables matters more than adding new tools. Do not combine a new creative, a different offer, and a sharp budget increase in one variant: the result will be hard to explain. Separately, confirm that the campaign complies with the ad platform rules and the law of the target GEO.

If you are new to media buying, do not raise spend after the first positive day. Check the bundle over a longer stretch first. That is how you find out whether the result repeats.

Why does a spy service not replace your own tests?

A spy service shows competitor activity without their spend, payouts, or real ROI. The results narrow the search and suggest a direction. Profitability still has to be verified in your own campaign, on your own offer and audience.

Review the search output regularly and record the recurring approaches. Only hypotheses with a clearly defined variable and metric should reach a test. That is what separates the effect of the creative from a random campaign fluctuation.

How do you evaluate Spy.House on your own tasks?

Spy.House can be used for daily analysis, saved collections, and preparing your own tests. The site currently advertises a promo code for a 25% discount, though the size and validity of that offer are worth checking before payment. This material is provided for informational and educational purposes only.

If you want to test this approach in your niche and GEO, review the available filters and terms on the Spy.House website.

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FAQ — Frequently Asked Questions

What does a spy service show for traffic arbitrage?

A spy service shows competitor ad creatives filtered by the parameters you select. The ad card lets you assess the content, the linked landing page, and the run period, but not the advertiser's actual profit.

How do you find trending creatives in a spy service?

Trending creatives are found through filters for niche, ad format, and GEO. If an English keyword returns nothing, repeat the query in the language of the target country and compare several sets of results.

Can you copy competitor creatives without changes?

Copying a creative without changes is a bad idea. It is better to take the working idea or hook and produce the visual and the copy for your own offer and audience.

How do you evaluate a creative by its run period?

The run period helps you tell a fresh test from an ad the advertiser has used for longer. This signal has to be weighed together with the content of the creative and its fit with the selected GEO.

Does editing a creative technically protect it from a block?

No. Changing metadata or the file hash does not guarantee that moderation will pass and does not cancel copyright. The creative has to comply with platform rules, and third-party material may only be used with proper permission.

When can you scale a bundle you have found?

A bundle can be scaled once it meets the test criteria you defined in advance. Raise the budget gradually and check whether the result repeats over a longer stretch.

Why does spy service data not replace testing?

Spy service data does not contain the full economics of someone else's campaign. It helps you choose a direction, while the profitability of a specific bundle is confirmed only by your own results.

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Artem Vishnepolskyі

Artem Vyshnepolskyi is a drop hunting and Web3 automation specialist, active in the crypto industry since 2021 and a member of the Afina team. He focuses on systematic participation in testnets, campaigns, and retrodrop activities, with notable life-changing cases including Starknet, Movement, and Initia.

At Afina, he works as a Support Specialist, helping users implement automation solutions and adapt tools to their specific goals. With a humanities background and no formal technical education, Artem proves that effective Web3 automation is accessible even to non-technical users