# How to Automate Engagement with Soshi

Soshi’s value isn’t just automation; it’s about extracting the repeatable, low-judgment parts of your workflow while preserving the human judgment and empathy that make conversations valuable. Here’s a practical system you can ship today.

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## What You Get (Engagement-Relevant)
- Event listening and routing: keyword/mention/DM/list-based queues
- Rule triggers: time windows, engagement thresholds (likes/replies/retweets), author groups
- Reply snippet library: reusable one-liners, frames, and micro-CTAs
- Scheduling and best times: batch/queue when your audience is warm
- CTAs/follow-ups: auto-append clarifying comments or DM templates after thresholds
- Lightweight analytics: structure × time-of-day reviews to promote winners

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## Daily Engagement Loop (30–40 Minutes)
1. Listen and segment:
   - Queue A (Priority): mentions/replies from customers, prospects, key list
   - Queue B (Opportunities): open conversations matching your topic keywords
   - Queue C (Maintenance): new comments under past content
2. Rules (automation layer):
   - If a post hits Likes ≥ X or Replies ≥ Y within 60 minutes: auto-post a clarification/expansion comment
   - If a common question is detected: surface one candidate reply snippet (requires human confirm/send)
   - If interaction comes from priority authors: mark as “deep-convo candidate”, send to human queue
3. Human depth (20 minutes):
   - Start with Queue A; paste-edit snippets and add one piece of evidence (data/screenshot/case)
   - From Queue B, pick 3–5 highest-signal threads and add perspective
4. End-of-day capture (5 minutes):
   - Save the day’s top 2 replies as snippets and tag them (structure/topic/context)

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## Copyable Reply Snippets (Save as Templates)
- Data-first: "Over the last 90 days, [metric] improved by [X%] after we [action]. First step to try: [micro-action]."
- Case-first: "We tested [approach] in [context]. Result: [outcome]. The small lever was [detail]."
- Contrast: "Most start with [common advice]. We start with [alternative] because [reason]—here’s the 10-minute version."
- Tiny checklist: "Weekly: [1] [2] [3]. Saves ~[time] and keeps quality stable."

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## Automation Setup Notes (Examples)
- Keyword listening: brand/product names, core questions, competitor compare-terms
- Author groups: customers/prospects, KOLs, peers, potential partners
- Thresholded CTAs: when Likes ≥ 25 or Replies ≥ 5, auto-comment a resource/guide
- Time windows: 60–120 minutes after posting is prime; prioritize triggers then

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## Weekly Cadence (Example)
| Day | Task | Output |
|---|---|---|
| Mon | Add 10 reply snippets | Reusable, high-quality building blocks
| Wed | Two deep engagement blocks | 12–16 thoughtful replies
| Fri | Review structure × timing | 3 winning templates + next week’s plan

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## KPIs
- Reply Like→Reply ratio ≥ 0.35 (ideas invite discussion)
- Profile Click Rate from replies ≥ 2%
- Snippet reuse rate ≥ 30% (at or above baseline performance)
- Follows within 24h of posting trending upward

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## Compliance and Risk Controls
- Human confirmation: require review/edit before outbound to avoid misfires
- Rate limiting/randomization: vary intervals and phrasing to reduce risk
- Privacy/transparency: avoid sensitive data; disclose automation when appropriate

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## Checklist
- [ ] Maintain 15–20 high-quality reply snippets
- [ ] Pre-build a "post + comment + clarifications" ladder for each new post
- [ ] Add one evidence item per human reply (data/case/screenshot)
- [ ] Weekly review: retire low performers; promote winners to defaults

> Bottom line: Soshi lets rules and queues handle the standardized parts of engagement while you invest human energy where it matters—deeper conversations that drive replies and conversion.

A practical playbook for Soshi-based automated engagement: listening and routing, rule triggers, a reply snippet library, timing windows, threshold CTAs, and lightweight analytics that blend automation with meaningful human replies.

How to Automate Engagement with Soshi: Rules, Snippets, and Human-in-the-Loop

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