Paid visits reach your site through ad placements on publisher websites, which are sites that sell space for ads. The ad format decides what the visitor sees first. A display ad is an image or banner, a native ad looks like the site's own content, and a pop-under opens your page behind the browser window the person is using.

Are paid visitors real people or bots?

Visits that start with a person seeing an ad are real people and here are 5 checks you can use to be sure of it.

Session length
PASS: Visits range from under 10 seconds to over 2 minutes
FAIL: More than 50% of sessions fall within the same 5-second range

Screens
PASS: Many different screen resolutions
FAIL: One resolution in more than 50% of sessions

Time of day
PASS: Visits follow daytime in the targeted country
FAIL: Visits between 1 a.m. and 5 a.m. local time match daytime levels

Location
PASS: Over 90% of visits come from the targeted area
FAIL: More than 10% come from places you did not target

Interaction
PASS: Some sessions include scrolls, clicks or form starts
FAIL: Zero interactions across 300 sessions

Zero or one fail means the traffic behaves like people, and the campaign continues. Two or more fails mean the campaign stops: you pause it, export 20 sessions with date, time, city and device, and send them to support with a request for review and a credit for invalid visits.
These thresholds are loose on purpose. Real crowds pass them easily, because different people use different devices, follow a daily rhythm and behave differently on a page. Automated traffic struggles to copy that variety at scale, so two fails are a strong signal.

What does one traffic credit buy?

A credit is a unit of payment, not a visit. One visit uses one or more credits depending on targeting options, so your number of visits equals your credits divided by the credits per visit.
The campaign page shows daily visits and credits estimates based on the settings you choose.

Which websites and uses are not allowed?

Six types of campaigns are refused: illegal content, malware or phishing, scams and get-rich-quick offers, pages with pay-per-click or pay-per-impression ads, links that hide the final page, and campaigns meant to make a site's audience look bigger to other people.

Every campaign goes through a landing page review before delivery starts. Pages that harm visitors or mislead other people are refused, because they damage the publishers that show the ads. A rejected campaign costs you days, and a campaign stopped mid-delivery breaks a test.

You can confirm the source yourself after the first day of delivery:
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- Referrers: You open the referral report in your analytics tool and filter it by your campaign tag. Visits with a referrer should show publisher domains from the campaign report. Visits without a referrer appear as direct traffic, which is normal for some formats
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- Location and device: You compare the cities and devices in your analytics with the targeting you set. A city campaign should show that city at the top of the list.
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- A session sample: You open 10 to 20 individual sessions and check the arrival time, city, device and pages viewed.

If a check does not match, a short message to support speeds up the answer: "Campaign [name], started [date]. Please confirm the ad formats and publisher domains that delivered visits on [date]. Attached are 20 sessions that do not match my targeting."

This routine works because every real ad placement leaves traces in two places: the campaign report and your own analytics. When both sources tell the same story, you have evidence instead of a promise. When they differ, you find out after one day, not after the whole budget.

Do you have free plans?

Yes!
Every website is eligible for a free Demo campaign with 2000 free credits.
Your free Demo includes every control paid users get. Test the real product, not a stripped demo.
No credit card required; no commitment.

What should you know about refunds before you pay?

Credits you have not used are refundable, and visits already delivered are not. We encourage you to run a free Demo project before committing to a purchase and to gradually increase the daily cap in paid campaigns, so you can be confident the campaign is running correctly.

Which page should receive your paid traffic?

A landing page built for one goal, never the homepage. The campaign goal decides the page: a test needs two versions of one page, a lead campaign needs a sign-up page, and a market check needs a page in that market's language.
A homepage serves every type of visitor at once. It links to products, prices, the blog, the team page and support, so paid visitors spread across many paths. When the campaign ends, nobody can tell which part of the site worked.
Category pages cause the same problem. In a typical case, an online store sends 4,000 paid visits to a category page with 60 products. The visitors spread across 41 product pages, no single product gets more than 200 visits, and no product has enough data to judge.

Lưu lượng truy cập website với nhắm mục tiêu địa lý Hungary

Website traffic analytics dashboard with charts and performance metrics

Trung tâm công nghệ Budapest đang nhanh chóng phát triển thành một trong những hệ sinh thái số tinh vi nhất Trung Âu, với tỷ lệ thâm nhập internet ấn tượng trên 89%. Môi trường kết nối cao này được hỗ trợ bởi hạ tầng mạnh mẽ từ các mạng Magyar Telekom, Vodafone và Yettel, tạo nên một nhóm đối tượng am hiểu công nghệ, tích cực tương tác với web bằng tiếng Hungary. Đối với các doanh nghiệp muốn tạo chỗ đứng vững chắc tại thị trường năng động này, việc khai thác hệ sinh thái tên miền .hu địa phương và các nền tảng nổi bật như chợ trực tuyến jófogás.hu là điều thiết yếu để xây dựng uy tín trong khu vực.

SparkTraffic mang đến độ chính xác cần thiết để tiếp cận đúng nhóm đối tượng này, cho phép bạn tích hợp hiện diện số của mình một cách liền mạch vào cộng đồng game và CNTT vững mạnh của Hungary. Bằng cách điều hướng khách truy cập từ các mạng địa phương này đến website của bạn, bạn phát đi tín hiệu về mức độ liên quan tới các thuật toán tìm kiếm khu vực và cải thiện các chỉ số bản địa hóa của mình.

Việc theo dõi lượng khách truy cập chuyên biệt này thông qua bảng điều khiển phân tích của bạn sẽ cho thấy những mô hình hành vi riêng biệt.

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