SShortSingh.
Back to feed

How to fix broken Meta ad attribution when conversions happen inside a Telegram bot

0
·1 views

When Meta ads drive users to a Telegram bot via a landing page, conversion attribution often breaks silently because the fbclid parameter cannot be passed through Telegram's deep link start payload, which is capped at 64 characters and excludes most special characters. A real fbclid typically exceeds 170 characters, making direct transfer impossible and causing Meta's Conversions API to receive events without the match data needed to tie conversions back to ad clicks. The recommended fix involves generating a short random token on the landing page, storing the full fbclid and click timestamp server-side against that token, and passing only the token through the Telegram deep link. Inside the bot, the token is used to retrieve the original click data and reconstruct a valid fbc value before sending the CAPI event. Developers are also advised to use the original click timestamp rather than the bot-open time, set action_source to 'chat' for accuracy, and apply a short TTL to unused tokens.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Developer builds single-table DynamoDB design for real-time multiplayer game

A developer built Kauwa Udd, a real-time multiplayer reaction game, for the H0 Hackathon using Vercel and Amazon DynamoDB with a single-table architecture. Instead of separate tables for users, rooms, and scores, all entities share one table using partition and sort key patterns, reducing round-trips and simplifying access control. Room state, player data, rounds, and reactions are grouped under a single partition key, allowing the entire live game state to be fetched in one query. A single Global Secondary Index handles all leaderboard queries — global, daily, weekly, and per-room — by using score as the sort key and querying in descending order. Temporary data like rooms and clicks use DynamoDB's TTL feature for automatic cleanup, while Auth.js session data is also stored in the same table without key conflicts.

0
ProgrammingDEV Community ·

Open-Source Tool MII Scans AWS for Unmonitored Machine Identities and Risk Scores Them

A developer has released an open-source tool called Machine Identity Intelligence (MII) to address the lack of visibility into machine identities in AWS environments. The tool connects to AWS accounts in read-only mode to discover IAM roles, trust relationships, OIDC federations, and CI/CD tokens, then assigns risk scores to each. The project was motivated by a CyberArk 2025 report finding that machine identities outnumber human identities at a ratio of 82 to 1. MII supports local development via Docker Compose and AWS deployment through Terraform, covering EC2 and CloudFront. The tool is MIT licensed and publicly available on GitHub.

0
ProgrammingDEV Community ·

World Cup 2026's 3-Team Group Format Creates Risky Tiebreaker Incentives

The 2026 FIFA World Cup's expanded 48-team format uses 16 groups of three, replacing the traditional four-team structure and introducing a complex advancement system. Unlike before, a third-place team with four points can qualify while a second-place team with three points may not, creating an asymmetric reward structure for goal margins. Analysis of the first seven matches from June 27–28 shows that teams unable to dominate, such as Algeria and Croatia, are already under pressure despite early results, while heavy winners like Spain and Japan face minimal tiebreaker risk. The format mathematically incentivizes conservative play, since a 1-0 win earns the same three points as a 5-0 rout but carries far less tiebreaker vulnerability. Analysts warn this could produce more draws and cautious football than expected, as teams prioritize advancement probability over aggressive, attacking play.

0
ProgrammingDEV Community ·

DEV and MLH Launch Daily Newspaper with AI-Built Word Search at AI Engineer's World Fair

DEV and MLH are publishing a physical newspaper called 'The Daily Context' each day of the AI Engineer's World Fair conference, with a game included in every issue. The first edition features a word search game titled 'Vector Search,' built using AI Studio and deployed to Cloud Run. A last-minute issue arose when the AI-generated app randomized the word grid on each page refresh, conflicting with the static layout already printed in the physical edition. The developer quickly fixed the app to ensure the digital and print versions matched, so attendees could use the digital paper to check their answers. More games, including a crossword, are planned for upcoming daily editions.

How to fix broken Meta ad attribution when conversions happen inside a Telegram bot · ShortSingh