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DM Automation

Twitter DM Automation Built for Controlled Scale

Twitter DM automation in Xreacher sends personalized cold DMs at a controlled pace instead of blasting. It pairs AI openers and follow-before-DM with timezone-aware sending windows, per-account daily limits, automated follow-ups, suppression of already-messaged leads, and split-test reply analytics, so you scale outreach safely rather than triggering spam flags.

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.

Xreacher lead source setup for X/Twitter outreach
Build lead sources from X/Twitter accounts and audiences.
Xreacher AI message suggestions for outreach campaigns
Generate and refine cold DM scripts before launching campaigns.
Xreacher campaign analytics dashboard
Track campaign performance, replies, and script-level results.
Xreacher inbox for monitoring outreach replies
Monitor replies and conversations from one workspace.

Automation with controls, not auto-DM spam

Most Twitter DM tools fire the same canned message the moment someone follows, likes, or comments. That looks like spam and burns accounts fast. Xreacher automates the full outbound workflow instead: you source a targeted list, write multiple message scripts, and let campaigns send on a schedule you set. Sending happens inside timezone-aware windows with per-account daily limits, so volume stays paced rather than dumped. Already-messaged leads and a blocklist are suppressed automatically, so nobody gets hit twice. The goal is repeatable, personalized outreach you can defend, not an engagement-triggered blast.

  • Scheduled campaigns, not follow or like-triggered auto-DMs
  • Per-account daily limits and sending windows
  • Automatic suppression of already-DMed leads plus blocklist

Personalize every DM before you send

Generic openers get ignored. Xreacher starts with a built-in scraper that pulls leads from an account's followers, following, or tweet engagers (likes, comments, retweets), or from a CSV. Deep filters narrow by bio keywords to include and exclude, location exclusions, follower and following counts, verified-only, has-website, and gender, so the list is tight before a single message goes out. From there you run AI openers across multiple script variations and can require follow-before-DM, warming the relationship first and optionally auto-following after the send with an unfollow delay.

  • Scrape followers, following, tweet engagers, or CSV
  • Include and exclude bio keywords, location, follower range, verified, has-website
  • Follow-before-DM plus AI-written opener variations

Pacing and safety controls baked in

Scaling on X means protecting the accounts doing the sending. Xreacher assigns a dedicated proxy per account, tracks warmup, and moves accounts through real states including rate-limited and resting cooldown so they are not pushed past safe thresholds. Credentials are encrypted, and an anti-spam risk system runs device fingerprinting, risk scoring, and spam-status tracking with admin review. You coordinate multiple accounts on one campaign with independent limits each, which spreads activity instead of concentrating it on a single profile.

  • Per-account proxies, warmup tracking, resting and rate-limit handling
  • Encrypted credentials and anti-spam risk scoring
  • Multi-account coordination with independent per-account pacing

Split-test angles with real reply analytics

A single blended reply rate hides what actually works. Xreacher gives you an ads-manager-style dashboard that breaks reply rate down by campaign, by opener and message variation, by sending account, and by lead list. That lets you compare two openers head to head, spot which account or list is underperforming, and double down on the angle that books calls. Replies flow back from the Unibox into analytics automatically, so the numbers reflect actual conversations, not just sends.

  • Reply rate by campaign, opener, account, and lead list
  • Head-to-head opener and script split testing
  • Reply tracking fed from the unified inbox

Manage the replies, not just the sends

Automation that books nothing is wasted. Xreacher routes every response into a Unibox, one real-time inbox across all connected accounts, with quick-reply templates, lead-profile context, media attachments, and filtering. When you want responses handled for you, the AI reply agent auto-replies toward a goal like booking a call or promoting an offer, using a configurable persona and a built-in objection-handling library for not-interested, why-pay, safety, and bot-suspected pushback. You stay in control of pace and tone while conversations keep moving.

  • Unified inbox across every connected account
  • Quick-reply templates and lead-profile context
  • AI reply agent with persona settings and objection handling

FAQs

Is automating Twitter DMs safe or against the rules?

Xreacher is built around safety controls rather than volume tricks. You set per-account daily limits and timezone-aware sending windows, use a dedicated proxy per account, track warmup, and let accounts rest when rate-limited. An anti-spam risk system scores activity. No tool can promise immunity, but pacing, targeting, and suppression keep outreach defensible.

How is this different from auto-DMs triggered by follows or likes?

Engagement-triggered tools blast one canned line the instant someone interacts, which reads as spam. Xreacher instead runs scheduled campaigns to a scraped, filtered list, with AI opener variations, optional follow-before-DM, and automated follow-ups paced inside sending windows. It is a full lead-to-reply workflow, not a single reflex message.

Does each DM actually get personalized?

Yes. You write multiple message scripts and use AI openers that vary per lead, and you target tightly first using bio keyword include and exclude filters, location, follower range, and more. You can also require follow-before-DM so there is a real interaction before the message lands, lifting reply quality.

Can I automate follow-ups without overdoing it?

Yes. Campaigns support automated follow-up sequences with configurable delays between messages. Leads who already replied or were messaged before are suppressed, and a blocklist excludes anyone you do not want contacted. Combined with daily limits and sending windows, follow-ups stay measured instead of piling on.

How many X accounts can I run at once?

You can connect and coordinate multiple accounts on a single campaign, each with its own proxy, warmup tracking, and independent daily limits. Cross-account coordination spreads sending so activity is not concentrated on one profile. The free tier covers one account; the Scale plan prices per account with volume discounts.

What does Xreacher cost?

There is a free tier with starter limits and one account, a paid monthly single-account plan that includes the Unibox and AI chatbot, and a Scale plan priced per account where the per-account cost drops sharply at higher counts. You can pay by card via Stripe or with crypto.

Last updated 2026-06-24

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