Video summary

How To Send 1k/DMs Per Day On Autopilot (FULLY AUTOMATED)

Main summary

Key takeaways

Business

What the video claims to help you do (business objective)

  • Automate Instagram outreach by sending thousands of personalized DMs per day “on autopilot,” with multi-account + proxy support.
  • Positioning: book more meetings/clients without doing manual DM work.
  • Essentially a go-to-market (GTM) automation play for lead generation and appointment setting via Instagram.

“Auto leads” software — operational workflow (step-by-step)

  • Setup time: ~10 minutes
  • Runs as an actual Windows/Mac application (not a browser/cloud tool), and it:
    • Logs into Instagram accounts
    • Finds leads from pre-loaded data
    • Sends personalized DMs (and can also follow)
    • Operates in the background with adjustable pacing

Core loop

You provide:

  • Lead sources: CSV of target Instagram users
  • Sender accounts: CSV of Instagram login credentials
  • Proxy list: CSV of proxies / locations

You configure:

  • Message templates + personalization
  • DM count per account
  • Action delay / pacing

Then you launch:

  • The software auto-switches accounts after a quota per account
  • It keeps sending continuously until the configured limits/queue are completed

Lead sourcing methods mentioned (data acquisition tactics)

  1. Post-based audience mining (scraping from engagement)

    • Input a target’s post link
    • The software gathers people who liked/commented on the post
    • Example logic described: “stealing other people’s audiences” (targeting people already engaged with that creator/brand)

  2. Follower-based mining (targeting adjacent accounts)

    • Use the target’s following list
    • Treat the following network as lead pools
    • Example: target a niche like “realtors” by following relevant accounts

  3. Third-party free Chrome extension for scraping

    • Mentions an “instant data scraper” to pull results and export to CSV

Personalization & conversion mechanics (DM strategy)

  • Uses message personalization and recommends a two-message sequence:
    • Opener designed to drive a first reply
    • Pitch message sent after the user responds (to improve visibility and reduce “hidden requests” effects)
  • A benchmark for first replies is given:
    • 15–20% first reply rate from “easy to respond” openers

Scaling & safety controls (avoid detection / account risk management)

Note: The video frames these as “ban-proof/safe,” but this is presented as marketing claims, not verified compliance guidance.

  • In-built proxies

    • Upload proxies as CSV
    • Goal: reduce suspicion from too many requests sent from one IP/location

  • Dual browsers / multi-account automation

    • Run DMs from multiple accounts simultaneously

  • Action delay / pacing

    • Not sending every 10 seconds; typical pace stated as:
      • about 60–90 seconds between message actions (or between account actions)
    • Claim: “there hasn’t been a single account restricted or banned” during testing

  • Follow-only mode

    • Option to follow without messaging
    • Intended relevance: can still generate profile visits via notifications

Concrete examples given (industry use cases)

  • Coaching space example

    • Target “Dan Henry”-type coaching niches by scraping engagement on posts
    • Then DM similar-coach profiles

  • Real estate example (follow-only)

    • Per account: ~150 follows/day
    • Expected follow-back: 10–15%
    • Implied additional conversions:
      • 15–30 followers/day in the ideal niche profile
    • Mechanism: followers receive notifications and may visit/engage if the profile is optimized

Pricing & capacity claims (cost/CAC proxy)

Plans quoted (monthly):

  • $27/month for 75 DMs/day
  • $57/month for 300 DMs/day
  • $95/month for unlimited DMs (as stated)

Other operational cost control mentioned:

  • “Cheapest on the market” claim
  • Support via Discord and a tutorial
  • Availability for Windows and Mac download

Metrics / KPIs explicitly mentioned

  • First reply rate: 15–20% (from opener design)
  • Follow-back rate: 10–15% (real estate example)
  • Follow-driven followers/day: 15–30 (ideal niche profile)
  • DM throughput targets:
    • 75 DMs/day, 300 DMs/day, and a claim of up to 1,000 DMs/day
  • Action delay: typically ~60–90 seconds
  • Account safety KPI (claim):
    • “No accounts restricted/banned in testing phase”

Frameworks / playbooks referenced (implicit, not formally named)

  • Two-step DM funnel (Reply → Pitch)

    • Opener engineered for response
    • Pitch delivered after reply to increase engagement/visibility

  • Rate-limiting / quota-based scaling

    • “Send X per account, then rotate to next account”
    • Proxies + delays used as risk controls

Actionable recommendations the video directly suggests

  • Build lead lists via:
    • Target post links → scrape likers/commenters → export to CSV
    • Target following → scrape adjacent accounts → export to CSV
  • Prepare sender accounts and message automation:
    • Export account credentials to CSV
    • Upload proxies to CSV
    • Configure DM quota per account and enable account auto-switch
  • Improve response rate:
    • Use a low-friction opener first
    • Send the main pitch only after the recipient replies
  • Use follow-only mode as a lighter-touch growth channel before messaging

Presenter / sources mentioned

  • Presenter: channel host (no name given in subtitles)
  • Examples used: “Dan Henry” (coaching example)
  • Tools / sources referenced:
    • Auto leads (the promoted software)
    • Instant data scraper (free Chrome extension for scraping)
    • z2u (website referenced for buying aged Instagram accounts)
    • Product website shown as “auto.apppp FL SL home” (exact URL unclear due to subtitle errors)
  • Support channel: a Discord support server associated with the product

Original video