May 2026 - White Link

A Test Doesn’t Show How the System Behaves Under Load

Most teams run into this problem the same way: the funnel worked in testing, passed moderation, metrics looked fine — and only after scaling do isolated rejections, group restrictions, and unstable results start appearing. The team begins swapping elements one by one and usually never finds the answer, because they’re looking in the wrong place.

At test volume, the system sees an isolated snapshot: one account, one launch, one URL. No patterns — no reaction. The moment several accounts run the same campaign structure simultaneously, the analysis mode changes. The platform no longer evaluates individual elements — it sees the behavior of a connected network. And that’s where every mismatch that was invisible during testing starts to surface.

Scale doesn’t break funnels. It reveals hidden inconsistencies that were already there.

What Actually Breaks When Volume Grows

Three Signals That Don’t Exist in Testing

First — repetition. Identical launch timings, the same activation sequences, similar action patterns inside the ad account. This creates a behavioral fingerprint that’s impossible to make look random when operating dozens of accounts at once.

Second — account correlation. Synchronized activation with identical campaign structures and the same landing URLs — the system doesn’t read this as independent advertisers. It reads it as a coordinated network.

Third — environment mismatch. The proxy declares one GEO, the device fingerprint is atypical for that region, session behavior doesn’t match real users in that location. On one account — undetectable. On ten similar accounts — an anomaly the system accumulates as a risk signal across the entire group.

What This Looks Like in Practice

A typical scenario: a team runs stably on 40–50 accounts, moderation doesn’t react. They decide to scale to 300+ accounts over a short period. By day three or five — group restrictions hit 20–30 accounts at once, with no obvious individual violations. The team swaps the white page, then the proxies. Results stay unstable.

What happened: moving to 300+ accounts made the patterns statistically visible. The same IPs from one pool appeared across different accounts. One white page served all GEOs. Activation scenarios were identical. Each element individually — not a violation. All together — a clear signal of coordinated activity.

Where the Real Problem Is

The problem is almost never in a single element — it’s in the inconsistency of the entire chain.

Element	Typical mistake	Symptom at scale
White page	One static page for all GEOs	Unstable results across regions
Proxies	IP overlap between accounts	Group-level restrictions
Accounts	Identical activation scenarios	Coordinated activity pattern

Why the Proxy Layer Is Critical at Scale

Most solutions run on overloaded reseller pools where the same IPs appear across different accounts. At low volume, this is invisible. At 200+ accounts, the system reads IP correlations as direct evidence of a connected network and assigns risk scores to the entire group at once.

Infrastructure built on real SIM cards with daily IP rotation from carrier environments works differently. Each session gets an IP from a real mobile carrier environment — no overlap with other accounts, no shared history. In practice, this means scaling from 50 to 500 accounts while keeping network-level correlation between them minimal, because each session looks like an independent user. Proxies.sx builds this environment on its own modem farm without reselling — the IP overlap between accounts that becomes the primary trigger for group restrictions at scale is structurally eliminated here.

Why the White Page Breaks at Scale — and How to Fix It

During testing, a page is evaluated by its content. At scale, it’s evaluated in context: which devices open it, from which GEOs, how uniform the sessions are. A static page without regional adaptation creates signal mismatch: the proxy says one region, the page speaks to another, session behavior is identical across all markets. At low volume it passes. At hundreds of sessions per day — the system sees an anomaly.

White Link closes this layer: each market gets a page that matches its language and regional context. The result — reduced signal mismatch between the proxy environment and the content layer, fewer rejections as traffic grows, and moderation stability not just in testing but under real load.

How to Check a Funnel Before Scaling

Is the white page adapted for each GEO — or is one page serving all markets?
Are there IP overlaps between accounts at the proxy level?
How similar are the account activation scenarios in timing and structure?
Are early warning signals being tracked — dropping CTR, approval delays?

FAQ

Why doesn’t swapping the white page fix the problem? The white page is one signal among many. If the root cause is proxy correlations or account behavior patterns, changing the page won’t shift the picture. The entire chain needs to be consistent.

What does signal inconsistency look like in practice? The proxy says Germany, the device fingerprint is atypical for German mobile traffic, the white page is English-only. Each mismatch is a minor detail. Together they form an anomaly the system accumulates into the risk profile of the entire account group.

Why do problems appear specifically at scale? During testing, anomalies get lost in the noise. At scale they become statistically significant — and the system responds not to individual accounts, but to the entire connected group at once.

Conclusion

Scale doesn’t break funnels — it reveals what was already broken but invisible at low volume. Teams that understand this before scaling build infrastructure as a system: the white page is aligned with GEO, the proxy environment isolates accounts from each other, behavioral patterns don’t create visible correlation. When all layers operate consistently — the funnel stays stable not just in testing, but under real traffic load.

For those building this stack — promo code WELCOME15 gives 15% off the first order at Proxies.sx.

For affiliate marketers, Telegram is a full-fledged environment for traffic acquisition, with its own rules, limitations, and opportunities. In 2025, the number of affiliate funnels built around Telegram bots grew by more than 60%, and this figure continues to rise. Why? Because bots provide independence from Meta and Google algorithms, flexible segmentation, and direct communication with the user.

In this article, we will look at how affiliate marketers build a White Page inside Telegram, which types of bots perform best, and why even the most well-designed funnel still needs a solid foundation — an account management, automation, and control system. This is where Telegram Expert comes into play: a tool that covers the entire messenger workflow, from account registration and warming to mailings, inviting, and analytics.

Why Bots Are Becoming a Popular Tool in an Affiliate Marketer’s Arsenal

Traditional landing pages have been tested for years and continue to deliver stable results. But in Telegram, bots have a number of advantages that make them a convenient addition to classic setups. Most importantly, the user never leaves the messenger. There is no need to open a browser, enter data on an unfamiliar site, or wait for a page to load. Everything happens inside an interface they already know.

At the same time, the cost per subscriber in a well-configured funnel can fall to as low as 20 rubles. ZOR iGaming, a well-known affiliate marketer, shares his experience: a bot that solved the pain point of “how to pay for foreign services from Russia” gained 6,000–7,000 users organically in just a couple of months. “If you solve a real pain point, it should take off on its own,” he says, summarizing the core principle.

It is important to emphasize that bots do not replace a White Page — they expand its possibilities. For example, you can first drive traffic to a classic landing page and then warm up leads through a bot. Or the other way around: collect contacts through a bot and then send the user to a landing page to complete an order. The flexibility of these combinations is one of the key advantages of modern affiliate marketing.

Three Types of White Page Built on Telegram Bots

In practice, several architectural approaches stand out. Each solves its own tasks and suits different verticals.

Showcase Bot (Offer Catalog)

This type imitates an online store or a collection of products and services. Behind each “product” there is a link to the target offer. The structure resembles a simple website with categories, pages, and navigation buttons such as “Main Menu” and “Back.”

Advantages:

The user sees a choice, which increases trust.
You can test several offers at the same time.
It is easy to update the content without changing the logic.

Example implementation: a bot with different categories, where each button opens a page with a description and a link to the affiliate offer.

Warming Bot with Segmentation

This is a more complex funnel in which the user does not receive a link to the offer right away. First, the bot asks 2–5 questions: geo, interests, goals. Based on the answers, a tag is assigned (for example, “gambling-slots” or “dating-Moscow”), and then the user receives a series of 3–5 messages with valuable content. Only after the warm-up comes the button that leads to the offer.

Advantages:

A high level of engagement.
Personalization increases conversion.
The risk of a “cold” contact is reduced.

Mini Apps as the Evolution of Bots

Mini Apps are the next level. They are not limited by the chat interface, have their own UI, support complex graphics, payments, and Web3. High-profile examples include NotCoin (a TON-based clicker) and Hamster Kombat, which at its peak attracted more than 200 million active users.

Why Affiliate Marketers Are Moving to Mini Apps:

950 million Telegram users.
Moderation is softer than in the App Store and Google Play.
An opportunity to monetize the collected audience again.
CPM is several times cheaper than in Meta.

How the Technical Side Works: From Idea to a Live Funnel

Creating a bot starts with registering it through @BotFather — Telegram’s main bot, which issues a token (a unique key) for managing your bot. The token must be saved, because it will be used in all API requests.

Next, you need to decide where the bot’s code will live. There are two main approaches:

A simple option is to run the code on your own server or VPS. This works well at the start, when the load is still low.
A scalable option is to use a serverless architecture (for example, Yandex Cloud Functions or AWS Lambda). This is convenient if the bot processes thousands of requests and you do not want to manage hardware yourself.

Python with libraries such as aiogram or pyTelegramBotAPI is most often used for development — they provide ready-made tools for handling messages, buttons, and dialogues. If the bot needs to store data (users, their answers, tags), you will need a database. At the start, JSON files may be enough, but for serious projects it is better to use PostgreSQL or SQLite right away.

How the Bot Understands What Users Send It

A bot receives messages either through a webhook mechanism (Telegram sends each message to your URL) or via long polling (the bot periodically checks whether there are any new messages). Webhooks are more reliable for production: you only need to specify your server address in Telegram once, and all events will be delivered there.

What a Bot Must Have: A Minimum Set

A welcome message — the first thing the user sees. It should be short, clear, and immediately deliver value.
Buttons or a menu — the user should not have to guess which commands to type. Use ready-made inline buttons or a Reply Keyboard.
Data collection logic — if you segment the audience, ask 2–5 questions. The answers can be stored in a database and assigned to user tags.
Offer messages — after the warm-up, show a button with a link (or a direct link). The link can include UTM tags so that conversions can later be tracked inside the affiliate network.

How to Connect a CRM and Collect Leads

If you need to send data to a CRM, you can configure an HTTP request to your API when a button is clicked. The easiest way is to use a webhook inside the bot: when a specific action occurs (for example, clicking the “Leave a Request” button), the bot sends a POST request with the data to your CRM script. For small projects, sending data to Google Sheets through Zapier or Make (formerly Integromat) is usually enough.

An alternative option is collecting leads in a Telegram group. The bot sends a message with lead data to a private group, where managers can see the applications and mark them as completed (for example, with a ✅ reaction). This is free and does not require a complex integration.

Where the Weak Spot Is: Accounts, Proxies, and Restrictions

Any funnel built around a Telegram bot eventually runs into the same question: how do you ensure stable operation when you have many accounts and Telegram keeps tightening the rules? Even the coolest bot will not save you if the accounts used for registration, messaging, or inviting end up under a spam block or a ban.

This is exactly where the need for a professional management tool arises. Telegram Soft Expert is software that covers the entire Telegram workflow: from account registration and warming to mass messaging, inviting, and analytics. It does not replace the bot, but it makes systematic work with accounts possible — and without that, scaling on Telegram is impossible.

Telegram Soft Expert: Core Automation for Working with Offers in Telegram

When an affiliate marketer builds a funnel through a bot, several tasks arise:

Account registration — Telegram requires different verification methods in different regions: in some places, a phone call is enough, while in others reCAPTCHA appears. Handling this manually is difficult.
Account warming — fresh accounts with no activity quickly receive restrictions.
Mailings and inviting — to bring an audience into the bot, you need to send messages and invite people into channels and groups.
Status control — accounts go down, fall into spam blocks, and need to be checked and redistributed.

Telegram Expert solves all of these tasks centrally.

The Accounts Panel: The Heart of the System

At the core of the software is a section for centralized control over all sessions. Accounts are distributed into folders: active, temporary spam block, permanent spam block, frozen, Premium, archive, and deleted. This makes it possible to keep dozens or hundreds of accounts under control without chaos.

Bulk checking is one of the key functions. The software checks accounts for bans and restrictions, automatically sorting them into folders. For example, restricted accounts are sent to the “temporary spam block” folder, where they can later be restored through the restriction-removal module.

Bulk actions allow you to manage profiles: change photos, bio, username, configure 2FA, privacy settings, and statuses. Action randomization is supported, which reduces the risk of automation being detected.

Auto-Registration: Solving the Main Pain Point

Account registration is a pain point of its own. Telegram Expert supports registration on real SIM cards and through partner services. It includes integrations with 10 SMS providers, supports mobile device emulation (AntiSafety), code wait-time settings, mass tasks, and filtering of trusted numbers.

The parameter generator makes it possible to create an account base. There is a beginner mode for small volumes and a professional mode for detailed configuration and large-scale work.

Account Warming: Booster and Auto-Conversation

Fresh accounts need warming up; otherwise, they look suspicious. In Telegram Expert there is an “Account Booster” module that warms sessions through automated mutual conversations using different methods. Accounts communicate with each other, simulating live activity, which increases Telegram’s trust in them.

Mailings and Inviting: Delivering Traffic into the Funnel

A White Page in the form of a bot is useless without traffic. Telegram Expert provides a full set of tools for attracting an audience:

Invite V1 and V2 — inviting users to groups by username, with control over the number of invited users.
Invite via the admin panel V1 and V2 — a more advanced method in which admin rights are issued through bots, reducing risks for accounts.
Message sending — classic mailings to a user base, by ID, by phone numbers, or by contacts.
Auto-posting to chats — sending messages to specified chats where the accounts are already members, or joining them automatically first.
Auto-responder — maintaining communication without manual participation.

An important detail: when the GPT module is enabled, all mailing modules can work through a neural network. The given text is used as a prompt, and the final version of the message is generated by AI, which makes mailings less templated and more resilient to filters.

Audience Collection: Databases for Specific Tasks

Telegram Expert allows you to collect a target audience in different ways:

Global search — collecting users through Telegram’s standard search.
Collection from chats — by language, by activity (for example, only those who posted during the last 30 days).
Collection from comments — parsing users who left comments under channel posts.
Link checking — determining whether a link exists in Telegram, with additional data returned.

After collection, the base can be cleaned, merged, deduplicated, and used to determine user gender through a neural network (with accuracy above 75%).

Proxies: The Foundation of Stability

Almost any systematic work in Telegram depends on proxies. Telegram Expert supports only IPv4 proxies (HTTP and SOCKS5). It includes a built-in proxy checker with response speed and status evaluation (ok/bad).

The proxy pool checker is a unique feature that analyzes IP overlaps within a pool. For rotating proxies, it checks how many unique addresses are actually being used. For sticky proxies, it checks whether there are overlaps between proxies in the list. This is critically important for large-scale work: if IPs repeat, the risk of blocks grows many times over.

The software settings include flexible proxy operating modes:

Strict mode — proxies only from the World list
Auto-detect country + World list — the software identifies the account’s country and selects proxies by ISO code or phone code
Account — proxies from the account’s JSON file
Account + backup modes — combined scenarios where other sources are connected if the account has no proxy assigned

The number of connection attempts, timeouts, and proxy replacement attempts can be configured individually, which allows the software to adapt to any proxy provider.

Why the Telegram Expert + Bots Combination Is a Systemic Solution

A White Page in the form of a Telegram bot is the front end of the funnel. It is responsible for user experience, segmentation, and conversion. But behind the scenes there is still a huge amount of work: accounts, proxies, registration, warming, mailings, inviting, and restriction control.

Telegram Soft Expert handles this “behind-the-scenes” layer. It allows affiliate marketers to stay focused on creatives, offers, and strategy instead of routine work. More than that, the software makes scaling possible: if you can manually manage 10–20 accounts, then with Telegram Expert you can manage hundreds or even thousands.

This exact approach — a well-designed bot funnel plus professional automation — becomes a decisive advantage in an environment where Telegram keeps tightening the rules and competition continues to grow.

Summary: How to Build the Process from Idea to Stable Operations

To sum up, we can highlight a step-by-step strategy:

Choose the vertical and the offer. Gambling, Dating, Nutra, Finance — each has its own specifics, but all of them work through Telegram bots in combination with classic White Pages.
Design the funnel. The entry point is an ad creative with a deeplink or a link to a landing page. The first contact is a 5–7 second welcome script. Warm-up is 3–5 touches with value. Conversion is a button leading to the offer. Reactivation is reminders and triggers.
Build the bot. For simple funnels, use Python + aiogram. For scale, use a serverless architecture. For more complex scenarios, use a Mini App.
Set up tracking. Deeplink tags, start parameters, UTM tags up to the affiliate network, and postbacks into the tracker.
Prepare your proxy base. Use only high-quality IPv4 proxies with a large pool and stable response times.
Launch Telegram Expert. Register accounts, warm them up, configure the control panel, upload proxies, and choose the operating modes.
Attract traffic. Through inviting, mailings, and audience collection — all of the necessary tools are already in the software.
Control and scale. Use reports, the load calculator, and base merging. If necessary, increase the number of accounts and proxies.

Telegram bots as a White Page are not just a trend, but a full-fledged affiliate marketing tool that is showing strong results in 2025. But even the best funnel will remain just an idea without reliable infrastructure. Telegram Soft Expert provides exactly that foundation: account management, automated registration and warming, mass messaging and inviting, and flexible proxy handling. Combined with a well-built bot, this makes it possible to achieve stable ROI that is unattainable with manual management.

At the same time, classic White Pages remain an important element: they make it possible to present an offer in detail, collect more detailed applications, and build trust. By combining landing pages and bots, an affiliate marketer gets maximum flexibility and funnel stability.

Telegram changes quickly. What works today may not work tomorrow. But those who build the process systematically, relying on professional software and a smart combination of tools, always stay one step ahead.

Month: May 2026

Why Ad Funnels Pass Moderation in Tests but Break at Traffic Scale