How can we help?

Your first analysis in 3 steps #

Besim Social Statistics analyses public posts and accounts on X, YouTube, Instagram and TikTok with AI and turns the result into a single, readable report.

1. Create an account. Sign up with email and password, or use Continue with Google. New accounts start with 10 credits. Your account must be approved before you can start analyses (see Account approval).
2. Choose what to analyse. The New analysis screen has three tabs: Post Analysis (the replies under a single post or video), User Analysis (an account's own posts) and AI Visibility (how AI assistants describe a person). Enter the post link, the account link or username, or the person's name; the platform is detected from the link automatically (see Supported platforms).
3. Check the model and start. The AI model row below the form shows the model that will be used; to change it, open the row and pick another model. Then press Analyze. Progress streams on screen step by step; when it finishes, a View Report button appears.

Every completed analysis is kept in My reports. Post reports can be downloaded as PDF, CSV or Excel.

Account approval #

New accounts are approved manually by our team before they can start analyses. This lets us know who uses the service and for what, and helps prevent misuse.

While you wait for approval:

• You can sign in and use the Settings and Credits screens.
• A "Your account is awaiting approval" banner appears at the top of the screen.
• If you press Analyze, you get a "Your account is not approved yet" notice; no credits are deducted.

Approval is based on the contact details you gave when signing up. Country is required. If you choose Phone for "How should we reach you for a demo?", the phone number becomes required too. Your company website and X, Instagram and Facebook accounts are optional but help us get to know you.

If you signed up with Google, these details have not been collected yet: fill in the Contact details form on the approval screen and save it. While you are waiting, you can update your details with the same form.

Refresh the approval screen to check your status; once approved, you are taken straight to the analysis screen.

Post Analysis #

Post Analysis reads the replies under a single post or video: who feels what, which topics stand out, how harsh the reaction is and where the reputation risk lies. It works on X, YouTube, Instagram and TikTok.

How to start

1. Open the Post Analysis tab on the New analysis screen.
2. Paste the post link (accepted formats below).
3. Pick an AI model and press Analyze.

Accepted links

• X: x.com/username/status/…
• YouTube: youtube.com/watch?v=…, youtu.be/… or youtube.com/shorts/…
• Instagram: instagram.com/p/… or instagram.com/reel/…
• TikTok: tiktok.com/@username/video/… or a vm.tiktok.com/… short link (resolved automatically)

The detected platform is shown under the input box as you type. If you paste a profile link by mistake, the screen switches you to the User Analysis tab; just press Analyze again.

Credits

On X, YouTube and TikTok the cost is between 3 and 30 credits depending on the number of replies; 3 credits are reserved at the start. On Instagram the platform multiplier is ×2, so the cost is between 6 and 60 credits and 6 credits are reserved at the start. Once the replies are collected, the actual amount is calculated and the difference is deducted. Details: Credits.

Good to know

• Only public replies are read. On YouTube, Instagram and TikTok, at most 1,000 replies are collected per post.
• YouTube analyses need your own YouTube Data API key saved in Settings (see Getting a YouTube API key).
• Posts from protected, private or suspended accounts, and deleted or unavailable posts, cannot be analysed; your credits are refunded in that case.
• Posts with replies turned off, with no replies or very few replies, or whose replies could not be collected sufficiently, are not analysed; your credits are refunded.
• Analysing the same post again collects the replies from scratch and uses credits again.

User Analysis #

User Analysis looks at an account's own posts and growth. It works on X, YouTube, Instagram and TikTok accounts.

1. Open the User Analysis tab on the New analysis screen.
2. Enter the account (accepted formats below).
3. Tick Include Big-5 psychographic analysis if you want it, and press Analyze.

Accepted formats

• X: username, @username or x.com/username
• YouTube: youtube.com/@handle or youtube.com/channel/UC…
• Instagram: instagram.com/username
• TikTok: tiktok.com/@username

A bare name without a link is treated as an X username. The detected platform is shown under the input box.

What the report contains

• Profile Summary: tone of voice, main topics, posting pattern
• Engagement Analysis: engagement rate, most active hours and days, viral post pattern
• Psychographic Profile (Big-5): only if the box is ticked and at least 10 posts could be collected
• Influencer Score: tier, niche authority, brand safety, suitable categories
• Follower History and Anomalies (see Unusual changes)
• Assessment: strengths, weaknesses, recommendations

On X, up to 200 of the account's latest posts are collected; on YouTube, Instagram and TikTok, up to 60 recent posts or videos. If you analyse the same account again within 24 hours, the most recently collected data is reused. When there is not enough data, a section is left empty instead of being filled with an invented summary.

Psychographic insights are estimates drawn from public posts; they are not a clinical diagnosis.

Credits

8 credits with Big-5, 5 credits without; on Instagram the platform multiplier is ×2, so 16 and 10 credits (see Credits). If the account is protected, private, suspended or does not exist, or the content could not be collected, your credits are refunded.

Supported platforms #

Besim Social Statistics works on four platforms: X, YouTube, Instagram and TikTok. The same two analysis types are available on each: Post Analysis (the replies under a post or video) and User Analysis (an account's own recent posts). AI Visibility is independent of platforms; it works with a person's name.

Links for Post Analysis

• X: x.com/username/status/…
• YouTube: youtube.com/watch?v=…, youtu.be/… or youtube.com/shorts/…
• Instagram: instagram.com/p/… or instagram.com/reel/…
• TikTok: tiktok.com/@username/video/… or a vm.tiktok.com/… short link (resolved automatically)

Links for User Analysis

• X: username, @username or x.com/username
• YouTube: youtube.com/@handle or youtube.com/channel/UC…
• Instagram: instagram.com/username
• TikTok: tiktok.com/@username

A bare name without a link is treated as an X username. The detected platform is shown under the input box as you type. If you paste a profile link into Post Analysis, the screen switches you to User Analysis.

How is the data collected?

• X: with our own collector.
• YouTube: through Google's official YouTube Data API v3, using only your own API key; the service has no YouTube key of its own. Without a saved key the analysis does not start, no credits are deducted and the screen shows a link to Settings. See Getting a YouTube API key.
• Instagram and TikTok: through a third-party data service. These platforms are available only while that service is enabled on our side; otherwise they are marked Coming soon on the analysis screen and no credits are deducted.

What is analysed?

• The text of the post (on YouTube, the video's title and description)
• The replies' text, like and reply counts and dates
• For accounts: profile counters (followers or subscribers, number of posts or videos) and the text and stats of recent posts

Images, the video itself and audio are not analysed; only text and numbers are read. On YouTube, Instagram and TikTok, at most 1,000 replies are collected per post and at most 60 recent posts or videos per account. On X, up to 200 posts are collected per account.

Limits

• Private accounts, deleted or unavailable posts, and posts with replies turned off or with no replies cannot be analysed.
• In these cases, and also if your YouTube key is invalid or its daily quota is used up, the analysis stops and your credits are refunded automatically.
• Compare only compares accounts on the same platform; the account picker groups accounts by platform.

Credits

The credit cost uses a platform multiplier: X, YouTube and TikTok ×1, Instagram ×2. Details: Credits.

AI Visibility #

People now ask AI assistants about other people, and the answers they get have become part of a reputation. AI Visibility measures how a person is described by these assistants.

1. Open the AI Visibility tab on the New analysis screen.
2. Enter the person's name (3-80 characters). If others share the same name, add distinguishing context such as a title or city.
3. Pick a model and press Analyze.

The model you choose is asked four questions, phrased the way an ordinary user would ask: who is this person, what has been talked about recently, are there known controversies or criticisms, and are they trustworthy and successful?

The report shows Tone, Negative / risky claims, Doubtful / possibly false claims and the Full Q&A transcript. Answers are archived with their date; when you run the same person again with the same provider, the Change vs previous run is shown as well.

Important: the real picture comes from the cloud models people actually use. A run on the local model is flagged in the report; it does not represent the assistants the public uses.

When the run finishes, open the report with View Report. If the name matches the display name or username of an account you analysed, the latest run also appears in that account's user report. AI Visibility runs currently do not use credits.

Compare and saved comparisons #

Compare puts the accounts you analysed side by side, measured the same way. It is ideal for keeping an eye on competitors.

How to use it

1. First run a User Analysis for every account you want to compare. Comparing needs analyses of at least two different accounts on the same platform.
2. On the Compare screen, select two accounts from the same platform. The account picker groups accounts by platform; accounts on different platforms (for example an X account and a YouTube channel) cannot be compared with each other.
3. Press Compare Report; the report opens in the same tab.

The report shows profile counts, engagement metrics, influence and bot scores, content mix and the follower histories drawn on top of each other. The leading account in each metric is marked with ★.

Saved comparisons

Name and keep a pairing you look at often with Save; it becomes a one-click button under Saved comparisons on the Compare screen. Saved comparisons are private: only you can see them. Remove one with the ✕ next to it.

Good to know

• The comparison uses each account's most recent completed analysis and does not use any extra credits.
• For an up-to-date comparison, analyse the accounts again first.
• Follower history builds up with every analysis, so the chart is more meaningful for accounts you analyse regularly.

Analysis progress and errors #

After you press Analyze, a progress bar and a step-by-step log stream on screen. The statuses are:

• Queued: the request was received.
• Collecting comments: public content is being read.
• AI is analyzing: the replies or posts are being evaluated.
• Completed: a View Report button appears.
• Error: the reason is shown on screen.

It usually takes a few minutes, depending on the number of replies and the model you chose. The analysis keeps running even if you close the page; when it finishes, it appears in My reports.

When are credits refunded?

Credits are refunded automatically in these cases, and this is shown on screen:

• The post or account is protected, private, deleted, suspended or does not exist
• The post has replies turned off, or not enough replies could be collected to analyse it
• The content could not be collected
• Your YouTube key is invalid or its daily quota is used up
• The post moved to a higher credit tier because of its number of replies and your balance cannot cover the difference (the credits reserved at the start are returned)
• The AI could not read any of the content, or the analysis stopped before producing a result (an invalid API key, for example); all credits spent on that analysis are returned

If something goes wrong during the AI stage, read the message, check your key or model and try again. If the problem persists, write to us from the Feedback screen.

My reports #

My reports lists your completed analyses from newest to oldest (the last 50). Each card shows the type of analysis (Post or User), its target, the date, the AI provider used and the credits spent. For post analyses, the post's author and a short excerpt of its text are shown too.

Click a card to open the report; to get back to the list, use the ← My reports link in the report's top bar. You can download a PDF from the report, and for post reports export the replies as CSV or Excel (see Downloading a report).

Good to know:

• Only completed analyses are listed; analyses that ended with an error do not appear.
• When you analyse a post or account again, the report is updated with the newest result.
• Once you have analysed two different accounts, the Compare screen becomes available.
• A report opens in the language selected at the top; you can translate its AI-written texts into that language (see Language and theme).

Sentiment distribution and audience segments #

In a post report, every reply is labelled individually by the AI; a single "positive/negative" label is not enough.

Sentiment distribution

Replies are sorted into six emotions: angry, critical, sarcastic, sad, neutral, supportive. The count and share of each emotion is shown as a bar. Each reply also gets an anger score from 0 to 10, plus irony and threat flags.

Audience segment × sentiment

Repliers are grouped by their stance: Supportive, Critic, Neutral, Unclear. Each group's sentiment distribution is shown on its own row. Even under the same post, supporters and critics can sound very different.

Other sections

• Topic × sentiment breakdown: how many negative replies each topic has
• Theme distribution, anger score distribution, user profile distribution
• Most influential replies: ordered by likes
• AI assessment: a written summary of the replies
• Critical questions and misunderstandings: the questions people ask most and still expect an answer to

AI output is not always 100% accurate; use the report as a tool that supports your decisions.

Reputation risk score #

The reputation risk score in a post report sums up how dangerous the reaction is in a single number from 0 to 100. The formula is not hidden; it is printed under the card. The score is a weighted sum of three components:

• Negative sentiment share (weight 0.55): the share of angry, critical, sarcastic and sad replies
• Anger level (weight 0.25): the replies' average anger score
• Likes on negative replies (weight 0.20): how much of all likes went to negative replies, in other words how far the negativity is spreading

The score is shown in three levels: Low (0-33), Medium (34-66), High (67-100). Each component has its own bar on the card, so you can see which one is pushing the score up.

If threat signals are found in the replies, the card also states how many replies contain them; those replies are worth a legal review.

The Brand Safety Risk indicator at the top of the report looks at hate speech, violence/threat and misinformation signals; the details are in the Brand Safety section.

Unusual changes #

Follower History in the user report adds one record for the day every time you analyse the account. The chart is drawn from two records onwards and becomes meaningful as the history builds up. That is why we recommend re-analysing the accounts you follow at regular intervals.

Anomalies are flagged in two ways:

• Large change: from the second record onwards, a change of 1% or more in followers, or 50% or more in average likes per post, compared with the previous record.
• Statistical spike: once at least six records exist, values far outside the normal range of the previous records (the 3-standard-deviation rule).

Each flag shows the direction (▲ up, ▼ down), date, value and expected value. If a highly liked post falls on that day, it is shown as the likely cause. This is a hint, not a proven cause.

In a post report, the reply velocity heatmap and the hourly average anger chart show at which hours the reaction picked up.

Downloading a report: PDF, CSV, Excel #

Download buttons sit at the top of the report.

• PDF: the full report with its charts, ready for a presentation or an email. Available for post and user reports.
• CSV: the raw data of the replies in a post report, one reply per row. Opens in Excel, Google Sheets and similar tools; Turkish and other special characters display correctly.
• Excel: the same data as a table with a frozen header row.

For each reply, the CSV and Excel files contain: date, author, reply text, like and reply counts, sentiment, short summary, anger score, threat and irony flags, theme, topic, polarity (positive, negative, neutral) and the replier's profile.

In a user report, the CSV and Excel files contain the collected posts of the analysed account, one post per row: date, text, likes, reposts, replies and views, whether it is a repost, hashtags, mentioned accounts and a link to the post.

With the topic and polarity columns you can build a pivot table in Excel and answer "how many negative replies does each topic have, and who wrote them" in a few clicks.

You need to be signed in to download CSV and Excel files.

Choosing an AI model #

Below the analysis form there is an AI model: <current model> row. It is closed by default and shows the model that will be used; click it to change the model. When it opens, you see three tabs:

• Local model: the model runs on our own server. No API key is needed and texts are not sent to an outside AI service. The list shows the models installed on the server.
• Gemini: Google's Gemini models; the list includes faster/lighter and more powerful options.
• Claude: Anthropic's Claude models, likewise with light and powerful options.

Cloud models (Gemini, Claude) run with an API key; see Your own API key.

Which one should I pick?

• Local model if you don't want the content to go to an outside service.
• If the quality of the written assessment matters, larger cloud models usually give more consistent results.
• Choose a cloud model for AI Visibility: what matters is what the assistants people actually use are saying.

If you don't want to choose every time, set a provider and model under Settings → Default AI Preference. It is preselected when the form opens, and you can still change it for a single analysis.

The credit cost of an analysis does not depend on the model you choose.

Your own API key #

You can use your own API key when analysing with Gemini or Claude. A Gemini key comes from Google AI Studio, a Claude key from the Claude Console.

Saving a key

Enter your key under Settings → My API Keys and press Save.

• Keys are stored encrypted and used only for your analyses.
• A saved key is never shown in full; only its last four characters are visible.
• To change it, type the new key into the field. If you leave the field empty, the existing key is kept.
• To remove it, use the delete button next to the saved key.

Which key is used?

When an analysis starts, the key is chosen in this order:

1. The key you type into the key field of the analysis form at that moment (used only for that analysis, not saved)
2. The key saved in your Settings
3. If neither exists, the service's own key, if one is configured

When you analyse with your own key, the AI provider's usage fee is charged to that key's account; the analysis' credit cost stays the same.

YouTube Data API key

It is required for YouTube analyses. The service has no YouTube key of its own; only the key saved in your Settings is used. Without a saved key, a YouTube analysis does not start and no credits are deducted. It is not needed for X, Instagram or TikTok analyses. How to get one: Getting a YouTube API key.

Getting a YouTube API key #

YouTube analyses run through Google's official YouTube Data API v3 with your own API key; the service has no YouTube key of its own. You can get a key with a Google account in a few steps.

Creating the key

1. Open console.cloud.google.com in your browser and sign in with your Google account (Google Cloud Console).
2. Create a new project or select one of your existing projects in the project picker at the top.
3. Go to APIs & Services → Library, search for "YouTube Data API v3", open the result and press Enable.
4. Under APIs & Services → Credentials, choose Create credentials → API key. The key is created and shown on screen.
5. Optional but recommended: in the key's settings, under API restrictions, restrict the key to "YouTube Data API v3" only and save.

Saving the key

Copy the key, paste it into the YouTube Data API field under Settings → My API Keys and press Save. The key is stored encrypted; only its last four characters are shown (see Your own API key).

Quota

By default Google gives every project a free daily quota (10,000 units). One analysis uses only a small part of it. If the quota runs out, the analysis stops and your credits are refunded; you can try again the next day.

Usage of the key is counted and limited on your own Google project; the quota is managed by Google, not by us. It does not affect the analysis' credit cost.

If the key is invalid, the analysis also stops and your credits are refunded; check that you copied the key correctly and that YouTube Data API v3 is enabled in the project.

Credits #

Analyses run on credits. New accounts start with 10 credits. Your balance is shown in the credit indicator in the top bar and on the Credits screen.

How many credits does it take?

• Post Analysis, 1-50 replies: 3 credits
• Post Analysis, 51-200 replies: 6 credits
• Post Analysis, 201-500 replies: 12 credits
• Post Analysis, 501-1000 replies: 20 credits
• Post Analysis, more than 1000 replies: 30 credits
• User Analysis with Big-5: 8 credits
• User Analysis without Big-5: 5 credits
• Comparison report: no credits
• AI Visibility: currently no credits

Platform multiplier

The amounts above are multiplied by a platform multiplier: X ×1, YouTube ×1, TikTok ×1, Instagram ×2. So on X, YouTube and TikTok the amounts are as listed; on Instagram:

• Post Analysis: 1-50 replies 6, 51-200 replies 12, 201-500 replies 24, 501-1000 replies 40, more than 1000 replies 60 credits
• User Analysis: 16 with Big-5, 10 credits without

The Credit cost box and the cost badge on the New analysis screen show the multiplier for the platform detected from the link you enter. While Instagram and TikTok are marked Coming soon, or while you have no YouTube key saved, the analysis does not start and no credits are deducted.

A Post Analysis reserves 3 credits at the start (6 on Instagram); once the replies are collected, the actual tier is determined and the difference is deducted. If your balance cannot cover the difference, the analysis stops and the reserved credits are refunded.

If your balance is too low when you start, the "Insufficient credits" notice shows the required and available credits; nothing is deducted. The credits each analysis used are shown on its card in My reports. For refunds, see Analysis progress and errors.

Credit activity

The Credit activity table on the Credits screen lists every movement with its date, type of activity, change and the balance after it: welcome credits, analysis spending, refunds and credits added by our team.

Adding credits

We don't sell fixed packs; pricing is set together with you based on your volume and needs. To have credits added, press Request credits on the Credits screen and describe what you need in the Feedback form that opens.

Settings #

The Settings screen has the following sections, in this order.

Profile

Shows your name, email address, member-since date, approval status and credit balance. This section is for information only and cannot be edited here.

Default AI Preference

Choose a Provider (Local model, Gemini or Claude) and a Model. This preference is preselected in the form when you start an analysis; you can change it in the form for any analysis.

My API Keys

Stores your Gemini, Claude and YouTube Data API keys encrypted. Saved keys are shown masked; you can remove each one with the delete button next to it. Details: Your own API key.

Press Save after making changes; the "Settings saved." message appears.

Appearance

Pick the interface language with the language buttons and the theme with the Light and Dark buttons (see Language and theme).

Account

• Sign Out: signs you out on this device. You can also sign out from the account menu at the top right (the circle with your initial).
• Delete my account: type your email address in the confirmation window that opens and confirm. Your account, settings, API keys, credit history and analysis records are permanently deleted. This cannot be undone.

Contact details

Country, phone, website and social accounts are not part of Settings; they are updated on the approval screen while your account is awaiting approval.

Language and theme #

The interface is available in four languages: Türkçe, English, Deutsch, Español. Change the language from the flag menu in the top bar or under Settings → Appearance; while you are signed in, your choice is saved to your account and remembered.

On public pages such as the home page and Help, the language is part of the address (for example ?lang=en), so you can share a link to a page in a specific language.

Report language

When you open a report, headings, labels, chart names and explanations appear in the language selected at the top. The texts written by the AI (summaries, topic names, assessments) are produced once, in the language that was selected when you started the analysis.

If your selected language differs from the language of those texts, a bar appears at the top of the report. Use its button (for example Translate to English) to translate the AI-written texts into your selected language:

• The translation uses the AI provider and key saved in your Settings. If no cloud model and key are saved, our own local model is used; with the local model a translation can take a few minutes. You can leave the page open or come back later.
• The translation is saved: next time you open the report in this language it appears translated right away. Show original in the bar shows the texts as they were first written.
• Translating uses no credits. To start a translation you need to be signed in with an approved account.
• The replies' and posts' own texts, usernames and numbers are never translated.
• If some texts can't be translated, the bar says so and shows a Try again button; those texts stay in their original language.

A PDF you download from a report is in the language you see on screen.

Theme

The moon/sun button in the top bar switches between light and dark theme: it shows a moon in the light theme and a sun in the dark theme. You can make the same choice with the Light and Dark buttons under Settings → Appearance. On first visit, your device's theme setting is followed; the choice you make is remembered in that browser.

Left menu

On a computer, you can collapse the left menu into a narrow strip of icons with the button next to the logo. Your preference is remembered in that browser.

Phone and tablet

On small screens, the left menu becomes a drawer opened with the ☰ button in the top bar. On phones there is also a tab bar at the bottom of the screen for the most used screens: Analyse, Reports, Compare, Credits. Reports adapt to small screens too; wide tables scroll sideways.

Privacy and data #

What data do we analyse?

Only public posts and replies on X, YouTube, Instagram and TikTok: their text and numbers such as likes, replies and followers. Images, video and audio are not analysed. Protected or private accounts, private messages and content that requires signing in are not collected. No interaction such as liking, following or replying takes place during an analysis; the analysed person does not see it.

Where does the data come from?

• X: our own collector.
• YouTube: Google's official YouTube Data API, using the API key you saved.
• Instagram and TikTok: a third-party data service.

Details: Supported platforms.

What do we store?

• Your account details: email, name and the contact details you gave at sign-up; your password only in irreversibly hashed form
• Your analysis history and credit transactions
• A copy of the content you analysed and the AI output
• Your API keys, encrypted

AI providers

If you choose a cloud model (Gemini, Claude), reply and post texts are sent to that provider for analysis. If you choose Local model, texts do not leave our server.

Deleting your account and data

You can delete your account and personal data yourself at any time: Settings → Delete my account. Your account, settings, API keys, credit history and analysis records are permanently deleted; this cannot be undone.

Cookies

Only a session cookie and a language preference cookie are used; there are no advertising or tracking cookies.

Usage rules

Analysing profiles of people under 18, or using the service for harassment, discrimination or exposing personal information, is not allowed.

Details: Privacy Policy, KVKK Notice, Terms of Service.

Common issues #

• The link is invalid or not recognised: Post Analysis needs a post or video link (on X, the address must contain /status/ and the post number). For the accepted formats, see Supported platforms. If you pasted a profile link, the screen switches you to the User Analysis tab.
• "Invalid X username.": an X username is at most 15 characters and may only contain letters, digits and underscores. A bare name without a link is treated as an X username; for an account on another platform, paste its link.
• A YouTube analysis doesn't start: you need a YouTube Data API key saved in Settings; no credits are deducted. See Getting a YouTube API key. If the key is invalid or its daily quota is used up, the analysis stops and your credits are refunded.
• Instagram or TikTok shows "Coming soon": these platforms are not available right now; no credits are deducted.
• Private account or a post with replies turned off: the content cannot be read; your credits are refunded.
• "Insufficient credits.": the notice shows the required and available credits; nothing is deducted. See Credits.
• "Your account is not approved yet.": your account is awaiting approval. See Account approval.
• "Too many requests.": you started many analyses in a short time. Per hour you can start up to 10 Post Analyses, 8 User Analyses and 6 AI Visibility runs; per minute, 2-3. Wait a few minutes and try again.
• The post is protected or deleted, or the account is suspended: the content cannot be read; your credits are refunded.
• "Content could not be collected.": this may be a temporary problem; your credits are refunded, try again a little later.
• The report doesn't open or says "not found": the analysis may not have finished yet or may have ended with an error. My reports lists only completed analyses; start the analysis again if needed.
• Some sections of the report are empty: when there is not enough data, a section is left empty instead of being filled with an invented summary; Big-5, for example, needs at least 10 posts.
• Error with a cloud model: check that your API key is valid and belongs to the provider you selected.

If the problem persists, write to us from the Feedback screen.