# LinkedIn Organic Posts — 6-Day Webinar Push **Posting account**: doany.ai company page + personal accounts (Sarah Chen, Marcus Rivera, team members) **Hashtags**: #RevOps #RevenueOperations #AIAutomation #SalesOps (use 3–4 per post) --- ## Day 1 — April 12 (T-5): Problem Hook Post **Post from**: doany.ai company page **Format**: Text post ``` I asked 50 RevOps leaders how they spend their Mondays. The #1 answer: reconciling pipeline data across 3-4 tools so leadership can get an accurate forecast. Not building strategy. Not improving processes. Copying data between Salesforce, Gong, and spreadsheets. The average? 4+ hours every single week. Per analyst. We built a webinar around fixing this. This Thursday, our Head of Product is doing a live demo — building an AI-powered pipeline review workflow from scratch. Takes about 10 minutes. Replaces 4 hours of manual work. Lattice's VP of RevOps, Marcus Rivera, is joining to share how his team cut 12 hours/week per analyst using this approach. Thursday, April 17 | 11 AM PT / 2 PM ET 45 min + Q&A. Recorded for replay. Link to register in the comments. #RevOps #RevenueOperations #AIAutomation ``` **First comment** (post immediately): ``` Register here → https://doany.ai/webinar/ai-workflow-automation?utm_source=linkedin&utm_medium=organic&utm_campaign=webinar-ai-workflow-apr2026&utm_content=problem-hook ``` --- ## Day 2 — April 13 (T-4): Speaker Spotlight **Post from**: Sarah Chen (personal account) — personal posts get 2–5x the reach **Format**: Text post ``` I'm excited to share a stage with Marcus Rivera this Thursday. Marcus runs RevOps at Lattice. When he started, his team of 4 was spending 48+ combined hours/week on manual data work. Pipeline reconciliation. CRM hygiene. Weekly reporting. They've since automated the most painful parts using AI workflows. The results: → Pipeline review: 4 hours → 20 minutes → CRM enrichment: 500+ records/day, 97% accuracy → Weekly ops report: auto-generated by 8 AM Monday He's joining me live to walk through exactly how they did it — including what broke along the way. Thursday, April 17 | 11 AM PT / 2 PM ET Register → https://doany.ai/webinar/ai-workflow-automation?utm_source=linkedin&utm_medium=organic&utm_campaign=webinar-ai-workflow-apr2026&utm_content=speaker-spotlight #RevOps #SalesOps #RevenueOperations ``` **Ask Marcus to repost with a personal note** like: ``` Looking forward to this one. Happy to talk about the things that didn't work too — because there were a few. ``` --- ## Day 3 — April 14 (T-3): Customer Stat Post **Post from**: doany.ai company page **Format**: Text post with stat emphasis ``` RevOps teams spend 40% of their time on manual data tasks. Not 40% of one person's time. 40% of the entire team's capacity. That's the finding from our analysis of 200+ ops workflows across mid-market SaaS companies. The top time sinks: • Pipeline data reconciliation (CRM ↔ billing ↔ CS tools) • Lead routing and assignment logic • Forecast prep and reporting • CRM record enrichment and hygiene Most of this can be automated — but not with simple if/then rules. These workflows need judgment. That's where AI agents come in. We're showing exactly how this works in a live demo this Thursday. April 17 | 11 AM PT / 2 PM ET Live demo + Lattice case study (12 hrs/week saved per analyst) Register → link in comments #RevOps #AIAutomation #RevenueOperations #SalesOps ``` --- ## Day 4 — April 15 (T-2): Behind-the-Scenes Demo Peek **Post from**: Sarah Chen (personal account) **Format**: Text post (optionally with a screenshot of the workflow builder UI) ``` Sneak peek at what I'm demoing Thursday: An AI-powered pipeline review that: 1. Pulls deal data from Salesforce 2. Cross-references with Gong call notes and activity logs 3. Flags stale deals, missing next steps, and forecast risks 4. Generates a summary report for your Monday pipeline meeting Setup time: about 10 minutes. Time it replaces: 4+ hours of manual analyst work. Every week. I'll build this live on Thursday's webinar — from a blank canvas to a working workflow. No pre-baked demo, no scripted walkthrough. Also: every live attendee gets our AI Workflow Audit template — the framework our customers use to find their highest-ROI automation opportunities. Thursday, April 17 | 11 AM PT / 2 PM ET Register → https://doany.ai/webinar/ai-workflow-automation?utm_source=linkedin&utm_medium=organic&utm_campaign=webinar-ai-workflow-apr2026&utm_content=bts-peek #RevOps #RevenueOperations #AIAutomation ``` --- ## Day 5 — April 16 (T-1): "Tomorrow" Reminder **Post from**: doany.ai company page **Format**: Short text post ``` Tomorrow. Live demo: AI-powered pipeline review workflow — built from scratch Customer story: How Lattice saves 12 hrs/week per RevOps analyst Free template: AI Workflow Audit framework for every live attendee Thursday, April 17 | 11 AM PT / 2 PM ET 45 min + Q&A Last chance to register → https://doany.ai/webinar/ai-workflow-automation?utm_source=linkedin&utm_medium=organic&utm_campaign=webinar-ai-workflow-apr2026&utm_content=tomorrow-reminder #RevOps #RevenueOperations ``` --- ## Day 6 — April 17 (Event Day): "Starting Now" Post **Post from**: doany.ai company page **Format**: Short text post ``` We're live in 30 minutes. AI Workflow Automation for Revenue Operations with @Sarah Chen and @Marcus Rivera from Lattice Join → https://doany.ai/webinar/ai-workflow-automation?utm_source=linkedin&utm_medium=organic&utm_campaign=webinar-ai-workflow-apr2026&utm_content=live-now Can't make it? Register anyway — we'll send you the recording. #RevOps #RevenueOperations #AIAutomation ``` --- ## Team Amplification Instructions Send this to all team members: > **Help us hit our registration goal!** Please share any of these posts from your personal LinkedIn. Personal shares consistently get 2–5x more reach than company page posts. > > If you'd rather write your own post, here's a one-liner you can adapt: > > _"My team is hosting a webinar Thursday on AI workflow automation for RevOps. Live demo + case study from Lattice. Worth 45 minutes if your ops team still spends hours on manual pipeline reviews. [link]"_ > > Even a repost with a quick "worth checking out" helps. Thank you!