Finteza. New analytics and advertising engine

Hello there!

We are tired of existing analytics services which are either complex and inconvenient, or they lack the necessary functions or they are too expensive. Therefore, we have developed our own solution, where we took into account the weak points of existing products and developed an intuitive interface, which incorporates all the necessary internet marketer tools.

The service is now available and we are seeking to receive feedback from professionals in online marketing. The system is easy to install and it is free. We would be grateful for your feedback and comments!

Finteza Features: 1. No sampling. A well-known drawback of common services is the data approximation on large volumes. Often, such solutions analyze only part of your traffic and the remainder is extrapolated. There are no such drawbacks in Finteza since sampling mechanisms are completely missing. 2. Realtime reports – you receive data without delays and can see exactly what is happening on the site and in the advertising campaigns. 3. Automatic assessment of traffic quality. The system estimates all incoming traffic by providing statistics on each source. You will be able to view how many bots you actually have and exclude them. 4. Webmasters can simply manage ads on sites and receive detailed banner and landing page reports. 5. We have also developed a plugin for WordPress. For your convenience, you can register in Finteza directly from the plugin and the code will be automatically added to all pages in your site.

Learn more and register an account here: https://lst.to/8dlck

Download from WordPress site: https://lst.to/edlck

Direct link to the plug-in download: https://lst.to/ndlck

Finteza. New analytics and advertising engine

Hello there!

We are tired of existing analytics services which are either complex and inconvenient, or they lack the necessary functions or they are too expensive. Therefore, we have developed our own solution, where we took into account the weak points of existing products and developed an intuitive interface, which incorporates all the necessary internet marketer tools.

The service is now available and we are seeking to receive feedback from professionals in online marketing. The…

Finteza. New analytics and advertising engine

Is there a way to get sales data from Facebook ad campaigns sent back to Magento and/or Google Analytics?

We have FB pixel installed, it’s accurately capturing sales data in FB analytics from FB ad campaigns we’re running. But I’d like to track more customers data, including products purchased, frequency, and more. FB analytics data is very broad, only showing clicks, add to carts, checkouts, total revenue, and cost per ad campaign.

I used UTM codes for the campaigns to track them in Google Analytics, which is working. However, that only tracks when the ad is clicked. FB ads analytics attributes a sale when an ad is simply displayed/seen (not clicked), and it also tracks users across devices. UTM codes can’t track either of those. That missing data makes up over 50% of the sales coming through.

Is there a way to get FB, Google, and/or Magento to transfer data back and forth so we can see more granular sales data?

Am I making sense 😛

Thank you!

Organic Unique 200 Google Analytics Web Traffic for $2

Organic Unique 200 Google Analytics Web Traffic For $ 2. first of all i saying you, you may receive sales or e.t.c but they can’t be guaranteed. we can’t control traffic visitors. i can provide visitors only from worldwide countries visitors! i need the buyer of this service to send own website URL Link. please tell me! what kind of site can you promote in this service.? some fak URL Link so not allowed. beacuse some restrictions are applied. If you are not sure your website can be promoted or if it contains invalid content, feel free to send me a just one message with the own site link and I will be happy to check it only for you. I’m waiting for your order!!! I’m waiting for your order!!! Thank you very much GARLANDCONNOR

by: GarlandConnor
Created: —
Category: Traffic
Viewed: 168


Unique 300 Google Analytics Website Traffic for $3

Unique 300 Google Analytics Website Traffic For $ 3. 300 web traffic around it. if you have a business site.? your business need only traffic hits visitors. more merrier. but quantity is so most important thing you need to worry about. you also want to need hits. web traffic is anybody and anything that hits your business site. this includes both real human people visitors hits. obviously it’s the god human visitors you care about most. you need to pay attention. some of them are important. Thank you Thank you Thank you Thank you GARLANDCONNOR

by: GarlandConnor
Created: —
Category: Traffic
Viewed: 143


400 Google Analytics Website Worldwide Traffic for $4

400 Google Analytics Website Worldwide Traffic Only For $ 4. you will effectively exclude yourself from google important search engine optimizations and seo. as a blog or web site own, you need traffic for your site help to be ranked on google 1st page. and to make lots of money any sales. and e.t.c. so all traffic hits come from 100% worldwide countries. not target country. Order order order. Thank you GARLANDCONNOR

by: GarlandConnor
Created: —
Category: Traffic
Viewed: 121


A syslog to Azure Log Analytics forwarder

I am using this code to forward my syslog logs (converted to json using syslog-ng) to Azure Log Analytics on an ARM board (since there is no official client for ARM). It uses the HTTP Data Collector API to submit the logs.

The idea is to read logs from stdin (each line is a JSON object) in separate thread with a buffer and send them when tokio worker thread is ready or the buffer gets full (body can’t be more 30MB).

My questions:

  • Is my usage of async Rust correct?
  • Is there a way to improve performance?
use futures::sync::mpsc::channel; use futures::{Future, Stream}; use hyper_tls::HttpsConnector; use hyper::client::HttpConnector; use std::io::BufRead; use std::{io, thread}; use native_tls::{Protocol, TlsConnector};  const AZURE_REQUEST_LIMIT: usize = 30 * 1000 * 1000; // 30 MB const LINE_LENGTH_LIMIT: usize = AZURE_REQUEST_LIMIT - 2; // should fit in '[' + <30 mb of json> + ']'  fn aggregated_logs() -> impl Stream<Item=String, Error=()> {     let (mut tx, rx) = channel(0);     thread::spawn(move || {         let input = io::stdin();          let mut lock = input.lock();          let mut buf = String::new();         loop {             let empty = buf.is_empty();              let c = if empty {                 '['             } else {                 ','             };             buf.push(c);              let mut read_bytes = lock.read_line(&mut buf).expect("failed to read line");             if read_bytes == 0 && empty {                 break;             }              // remove newline             read_bytes -= 1;             buf.pop();              assert!(read_bytes <= LINE_LENGTH_LIMIT, "line is too long: {} bytes", read_bytes);             let under_limit = buf.len() <= AZURE_REQUEST_LIMIT - 1;              let mut msg = if under_limit {                 // send the entire buffer                 std::mem::replace(&mut buf, String::new())             } else {                 // buffer got too big, save next line for next iteration                 let prev_len = buf.len() - read_bytes;                 let mut msg = String::from("[");                 msg.push_str(&buf[prev_len..]);                  buf.truncate(prev_len);                 std::mem::replace(&mut buf, msg)             };              msg.push(']');              while let Err(e) = tx.try_send(msg) {                 debug_assert!(e.is_full());                 msg = e.into_inner();                 if under_limit {                     buf = msg;                     buf.pop(); // remove ']'                     break;                 }             }         }     });     rx }  const RESOURCE: &'static str = "/api/logs"; const CONTENT_TYPE: &'static str = "application/json"; const X_MS_DATE: &'static str = "x-ms-date";  type HmacSha256 = hmac::Hmac<sha2::Sha256>; use hmac::Mac;  fn signature(rfc1123date: &str, len: usize, customer_id: &str, mut hmac: HmacSha256) -> String {     let string_to_hash = format!(         "POST\n{}\n{}\n{}:{}\n{}",         len, CONTENT_TYPE, X_MS_DATE, rfc1123date, RESOURCE     );     hmac.input(string_to_hash.as_bytes());     let result = hmac.result();     let base64 = base64::encode(&result.code());     format!("SharedKey {}:{}", customer_id, base64) }   fn main() {     let customer_id = std::env::var("CUSTOMER_ID").expect("Missing CUSTOMER_ID");     let shared_key = std::env::var("SHARED_KEY").expect("Missing SHARED_KEY");     let log_type = std::env::var("LOG_TYPE").expect("Missing LOG_TYPE");     let time_generated = std::env::var("TIME_GENERATED_FIELD");      let decoded_key = base64::decode(&shared_key).unwrap();     let hmac = HmacSha256::new_varkey(&decoded_key).unwrap();      let mut http = HttpConnector::new(num_cpus::get());     http.enforce_http(false);      let connector = TlsConnector::builder()         .min_protocol_version(Some(Protocol::Tlsv12))         .build()         .unwrap();      let mut https: HttpsConnector<_> = (http, connector).into();     https.https_only(true);     let client = hyper::Client::builder().build::<_, hyper::Body>(https);     let uri = format!(         "https://{}.ods.opinsights.azure.com{}?api-version=2016-04-01",         customer_id, RESOURCE     );      tokio::run(         aggregated_logs()             .then(move |data| {                 let data = data.unwrap();                 let rfc1123date = chrono::Utc::now()                     .format("%a, %d %b %Y %H:%M:%S GMT")                     .to_string();                  let len = data.len();                 let signature = signature(&rfc1123date, len, &customer_id, hmac.clone());                  let body: hyper::Body = data.into();                  let mut builder = hyper::Request::post(&uri);                 builder                     .header("Content-Type", CONTENT_TYPE)                     .header("Content-Length", len)                     .header("Authorization", signature)                     .header("Log-Type", log_type.as_str())                     .header(X_MS_DATE, rfc1123date);                  if let Ok(time_generated) = &time_generated {                     builder.header("time-generated-field", time_generated.as_str());                 }                 let request = builder.body(body).unwrap();                 client.request(request)                     .and_then(|response| -> Box<dyn Future<Item = (), Error = hyper::Error> + Send> {                         let status = response.status();                         if status.is_success() {                             Box::new(futures::finished(()))                         } else {                             Box::new(                                 response.into_body().concat2()                                     .and_then(move |chunk| {                                         let message = String::from_utf8(chunk.to_vec()).unwrap();                                         eprintln!("{} {}", status, message);                                         Ok(())                                     })                             )                         }                     })             })             .for_each(|_| {                 Ok(())             })             .then(|e| {                 e.unwrap();                 Ok(())             }),     ) } 

Cargo.toml:

[package] name = "log_analytics" version = "0.1.0" edition = "2018"  [dependencies] tokio = "0.1.13" hyper = "0.12.19" futures = "0.1.25" hmac = "0.7.0" sha2 = "0.8.0" hyper-tls = "0.3.1" chrono = "0.4.6" base64 = "0.10.0" native-tls = "0.2.2" num_cpus = "1.9.0" 

Creating analytics dashboard out of rdbms crud system

We have a crud database designed for generally handling business logic. There is no modeling/architecturerelated to analytics yet but existing models will be the basis for analytics. To give an example,we have channels, and each channel has members who are able to join and leave the channel. We want to displaytotal number of users for a specific channel between two dates. So, I need to know what was the number of total members in a channel in a previous date. I thought about several approaches but still need help to tackle the problem properly. My thinking roughly is,

  • create and store and event for each channel join with a timestamp

  • create and store and event for each channel leave with a timestamp

  • derive the result from these

This is pretty similar to net likes metrics in https://analytics.facebook.com/.

I want to know how this kind of problems are attacked, what are the frequently used building blocks and technologies, how data should be modeled and persisted.