90-Day Content Strategy

Comprehensive content marketing plan to build authority, capture demand, and drive enterprise sales pipeline growth for SalesStack AI

6 Pillars

Core content themes

90 Days

Full content calendar

5 Channels

Platform distribution

3 Phases

Strategic progression

Content Pillars

1. Sales Intelligence Education

How AI transforms deal prediction, pipeline accuracy, and revenue forecasting for enterprise sales teams

2. CRM Integration Insights

Seamless integration guides, best practices, and maximizing value from existing sales tech stacks

3. Sales Leadership Thought Leadership

Industry trends, data-driven decision making, and building high-performing sales organizations

4. Customer Success Stories

Real results, revenue impact metrics, and transformation stories from enterprise sales teams

5. Product Updates & Demos

Feature releases, tutorials, live demos, and hands-on training for maximizing platform value

6. Sales Community Building

Behind-the-scenes content, team culture, and engaging with r/sales and sales professional communities

Content Mix Formula

40%

Educational

How-to guides, tutorials, best practices for sales intelligence and CRM optimization

25%

Inspirational

Success stories, transformation journeys, motivational content for sales professionals

20%

Promotional

Product features, platform updates, special offers, and conversion-focused content

15%

Entertainment

Behind-the-scenes, company culture, memes, and engaging community content

90-Day Editorial Calendar

MONTH 1: FOUNDATION BUILDING

Problem Awareness & Education

Focus on identifying pain points and educating enterprise sales teams about pipeline challenges

Days 1-30

Week 1-2: Problem Awareness

•Blog: "The Hidden Cost of Inaccurate Sales Forecasts" (LinkedIn, Email)
•Video: "5 Signs Your CRM Is Failing Your Sales Team" (YouTube, LinkedIn)
•Reddit AMA: "Former Sales VP shares pipeline management horror stories" (r/sales)
•Infographic: "Enterprise Sales Teams Waste 16 Hours/Week on CRM Busywork" (All platforms)

Week 3-4: Solution Exploration

•Blog: "How AI Predicts Deal Closure: Beyond Gut Feelings" (LinkedIn, Newsletter)
•Tutorial: "Reading Real Buying Signals in Sales Emails" (YouTube, 15 min)
•Case Study Preview: "How a $50M ARR SaaS Cut Forecast Errors by 72%" (LinkedIn)
•Community Post: "What does your perfect sales intelligence tool look like?" (Reddit)

MONTH 2: AUTHORITY ESTABLISHMENT

Thought Leadership & Proof

Establish expertise through advanced insights, data analysis, and customer validation

Days 31-60

Week 5-6: Advanced Insights

•Whitepaper: "The State of Enterprise Sales Intelligence 2026" (Gated lead magnet)
•Webinar: "Live Demo - AI-Powered Deal Prediction in Action" (YouTube Live)
•LinkedIn Series: "7 Data Points That Actually Predict Deal Closure"
•Podcast: Guest appearance on "Sales Leadership" podcast (Distribution + clips)

Week 7-8: Validation & Proof

•Full Case Study: "Enterprise SaaS Adds $8M ARR with Better Forecasting" (All)
•Video Interview: Customer testimonial with quantified results (YouTube + LinkedIn)
•Comparison Guide: "SalesStack AI vs Legacy Sales Intelligence Tools" (Blog)
•Reddit: Share customer success anonymously in sales communities

MONTH 3: CONVERSION FOCUS

Product Education & Sales

Drive trial signups and enterprise demos with product-focused content and social proof

Days 61-90

Week 9-10: Product Deep Dive

•Tutorial Series: "Complete SalesStack AI Onboarding" (5 videos, YouTube)
•Blog: "10 Ways SalesStack AI Integrates With Your Salesforce Instance"
•LinkedIn Campaign: Feature spotlight series (1 feature/day for 7 days)
•Interactive Tool: "Calculate Your Sales Team's Forecasting Accuracy Score" (Lead gen)

Week 11-12: Conversion Push

•Launch Announcement: "SalesStack AI Now Available - Special Founding Member Pricing"
•Video: Multiple customer testimonials compilation (2-min social cuts)
•Webinar: "Live Q&A with SalesStack AI Founders + Product Roadmap" (Lead capture)
•Reddit/LinkedIn: "We just launched - AMA about AI sales intelligence"

Platform-Specific Distribution

LinkedIn (Primary)

•3-5 posts per week
•Thought leadership articles
•Customer success stories
•Industry insights & data
•Video demos & tutorials

Target: 5% CTR, 2% conversion

Reddit (r/sales)

•Daily community engagement
•Value-first contributions
•AMAs and authentic discussions
•Problem-solving threads
•War stories & lessons learned

Target: 393K members engaged

YouTube

•2-3 videos per week
•10-20 min tutorials
•Product demos & walkthroughs
•Customer interviews
•Weekly live Q&A sessions

Target: 583K avg views

Email Newsletter

•Weekly roundup (Thursdays)
•Best content from the week
•Exclusive insights & tips
•Early access to new features
•Personalized recommendations

Target: 35% open, 5% CTR

Twitter/X

•5-10 posts per day
•Quick tips & insights
•Industry news commentary
•Thread breakdowns
•Community conversations

Target: Real-time engagement

Blog/SEO

•2-3 long-form posts/week
•1,500-3,000 word guides
•SEO-optimized content
•Comprehensive tutorials
•Downloadable resources

Target: Organic traffic growth

Performance Metrics & Goals

Awareness Metrics

→Total Reach: 500K+ impressions across all channels
→LinkedIn Growth: 2,500+ followers in 90 days
→YouTube Subscribers: 1,000+ subscribers
→Brand Searches: 200+ monthly branded searches

Engagement Metrics

→Content Engagement: 5%+ engagement rate on LinkedIn
→Video Views: 50K+ total YouTube views
→Reddit Karma: 1,000+ upvotes in r/sales
→Email Open Rate: 35%+ newsletter opens

Lead Generation

→Email Signups: 1,500+ newsletter subscribers
→Lead Magnet Downloads: 500+ whitepaper downloads
→Webinar Registrations: 300+ registrations
→Demo Requests: 100+ qualified demo requests

Sales Impact

→Trial Signups: 200+ pilot program applications
→Pipeline Generated: $500K+ in qualified pipeline
→Conversion Rate: 10%+ pilot to paid conversion
→Customer Acquisition: 20+ paying customers

Comprehensive Go-to-Market Execution

This 90-day content strategy drives awareness, establishes authority, and generates qualified pipeline for SalesStack AI's March 2026 MVP launch