Social Outbound
Social outbound software for X and Telegram
Social outbound is cold outreach over social DMs instead of email: sourcing leads, sending personalized messages, following up, and managing replies on platforms like X and Telegram. Xreacher runs the whole workflow in one stack, with a deep-filter scraper, multi-account campaigns, a unified inbox, an AI reply agent, and split-test analytics.
Lead sourcing built in
Build lists from X/Twitter audiences, keywords, imported lists, Telegram groups, and filtered prospect sources.
Campaign analytics
Compare reply rates by campaign, opener, message variation, sending account, and lead list so tests are not guesswork.
Unibox plus AI replies
Read, filter, mark, and reply to leads from one inbox, or use an AI chatbot to handle goal-based conversations.
Product proof
Screenshots from the actual outreach workflow
These pages are built around product workflows Xreacher already shows publicly: lead sourcing, AI-assisted messages, campaign analytics, inbox monitoring, and Telegram outreach.
What social outbound actually means
Social outbound is proactive cold outreach over social platforms, using direct messages rather than email or paid ads. You build a targeted list, write the opener, personalize at scale, follow up on non-responders, and handle the conversation when people reply. Xreacher treats this as one connected workflow instead of stitching together a scraper, a sender, and a separate inbox. The goal is reply quality and booked conversations, driven by targeting, personalization, and pacing rather than raw send count.
- Source: built-in scraper or CSV import
- Send: personalized openers across multiple accounts
- Follow up: automated sequences with delays
- Reply: unified inbox plus AI reply agent
- Measure: split-test analytics on what converts
X and Telegram in one stack
Most tools cover a single channel. Xreacher runs X/Twitter and Telegram (Telereacher) from one workspace, so the same lead-to-reply motion works across both. On X you get a deep-filter scraper that pulls from an account's followers, following, or tweet engagers, with filters for bio keywords (include and exclude), location, follower and following ranges, verified-only, has-website, and closed-DM handling. On Telegram you source group leads, segment, send personalized messages, run follow-ups, and manage replies at the workflow level. LinkedIn is coming, not live yet.
- X scraper: followers, following, tweet engagers, or CSV
- Deep filters: bio keywords, location, follower counts, verified
- Telegram: group lead sourcing, segmentation, follow-ups
- One workspace, one inbox across connected accounts
An AI reply agent that works toward a goal
Replies are where social outbound usually breaks. Xreacher's AI reply agent auto-responds to leads and drives toward a defined goal, such as booking a call or promoting an offer, using current top-tier (GPT-5 class) models. You configure persona (name, age, gender, style, language), scheduling, messages per hour, and minimum delay between messages. It ships with a built-in objection-handling library for common pushback like not-interested, why-pay, safety questions, bot-suspicion, and contact-info requests, so conversations keep moving without you watching the inbox all day.
- Goal-driven auto-replies (book a call, promote an offer)
- Configurable persona, scheduling, and pacing
- Objection-handling library for common pushback
- Works alongside the human Unibox, not instead of it
Split-test analytics, not one blended number
The flagship is an ads-manager-style dashboard that breaks reply rate down by campaign, opener and message variation, sending account, and lead list. That means you can run several angles at once and see which opener, which audience, and which account actually performs, instead of guessing from a single average. Reply tracking from the Unibox feeds straight into these numbers, so the loop from test to insight to better script stays tight.
- Reply rate by campaign and message variation
- Performance by sending account and lead list
- Test multiple openers and angles side by side
- Inbox replies feed analytics automatically
Built to scale safely
Scaling social outbound is a deliverability problem before it is a volume problem. Xreacher supports multiple accounts with per-account proxies, warmup tracking, and account states including rate-limited and resting/cooldown. Campaigns add per-account daily limits, timezone-aware sending windows, follow-before-DM and auto-follow-after-DM, plus suppression of already-messaged leads and a blocklist. An anti-spam and risk system handles device fingerprinting, risk scoring, and spam-status tracking. These are pacing and safety controls, the foundation for steady outreach.
- Per-account proxies, warmup, and resting/cooldown states
- Daily limits and timezone-aware sending windows
- Follow-before-DM, suppression, and blocklist
- Anti-spam risk scoring and spam-status tracking
FAQs
What is social outbound?
Social outbound is cold outreach run over social platforms through direct messages rather than email. It covers sourcing targeted leads, sending personalized openers, following up on non-responders, and managing replies. Xreacher delivers this end to end for X/Twitter and Telegram in a single workspace.
How is social outbound different from cold email?
Cold email lands in crowded inboxes with low engagement; social outbound reaches people where they already converse and respond. You can target by bio keywords, audience overlap, and engagement signals that email lists lack, then handle replies in real time with templates or an AI reply agent.
Which platforms does Xreacher support?
Xreacher supports X/Twitter and Telegram (Telereacher) from one stack, covering lead sourcing, personalized sending, follow-ups, a unified inbox, and analytics across both. LinkedIn is coming but not live yet. You manage every connected account and its replies in a single Unibox.
Is social outbound on X and Telegram safe to run?
Xreacher is built around safe pacing: per-account proxies, warmup tracking, daily limits, timezone-aware sending windows, and resting/cooldown states. Suppression skips already-messaged leads, a blocklist excludes others, and an anti-spam risk system scores accounts. The focus is targeting, personalization, and controlled pacing, not blasting volume.
How does the AI reply agent work?
The AI reply agent auto-replies to leads using current top-tier (GPT-5 class) models and works toward a goal you set, like booking a call. You configure persona, language, scheduling, messages per hour, and delays. A built-in objection-handling library manages common pushback such as not-interested and bot-suspicion.
Can I tell which messages actually get replies?
Yes. The analytics dashboard breaks reply rate down by campaign, opener and message variation, sending account, and lead list, so you split-test angles instead of reading one blended average. Inbox replies feed these numbers automatically, making it clear which script and audience perform best.
Last updated 2026-06-24