GTM Campaign Hub¶
Accelerate your AWS Marketplace go-to-market with AI-powered content generation, co-sell campaigns, and performance tracking.
Market Category Focus¶
Vellocity focuses on the Market category of AWS Partner GTM — what happens after your listing is live. It also gives you an on-ramp into that motion: a built-in AI listing generator drafts a first listing (SaaS, AMI, Container, Professional Services, or API-based agents & tools) so you can move straight into GTM.
| Activity | Category | Vellocity Support |
|---|---|---|
| Listing creation | Build → Market on-ramp | AI Listing Generator, or bring a listing from Tackle, Suger, Clazar |
| Technical integration | Build | Use Build tools |
| GTM campaigns | Market | Vellocity |
| Co-sell execution | Market | Vellocity |
| Content at scale | Market | Vellocity |
| Private Offers | Sell | Some support |
Multi-Cloud Marketplace GTM Know-How¶
Build tools get you listed — or start with Vellocity's own listing generator. Either way, Vellocity knows what happens next.
After analyzing 100+ AWS Partner GTM motions, we've codified what actually drives marketplace pipeline: the right content, the right partners, the right timing. This expertise is embedded in every workflow.
Why GTM Expertise Matters¶
| Insight | What We Know | How Vellocity Helps |
|---|---|---|
| Campaign frequency | 4+ campaigns/month → 3x pipeline | Enable 4-8 campaigns/month |
| Partner timing | First co-sell in <6 weeks → 2x revenue | AI matching reduces 6mo to 4 weeks |
| Content combinations | Blog + LinkedIn = 67% of influenced pipeline | Optimize for proven combinations |
| ACE brief quality | Structured briefs get 4x AWS engagement | AI-generated briefs follow winning templates |
Comparison with Build Tools¶
Vellocity now includes its own AI listing generator, so you can draft a first listing without a separate Build tool. The comparisons below focus on where each tool specializes — Build tools go deep on listing infrastructure, billing, and integration; Vellocity goes deep on the Market motion that fills your pipeline.
Vellocity vs. Clazar¶
| Clazar (Build) | Vellocity (Market) |
|---|---|
| Creates your AWS/Azure/GCP listings | Generates campaigns for your listings |
| Manages metering and billing | Tracks which campaigns drive revenue |
| Handles technical integration | Handles demand generation strategy |
| Use Clazar to: Get listed across clouds + manage billing | Use Vellocity to: Draft a listing fast, then get pipeline |
Vellocity vs. Feenix¶
| Feenix (Build + Co-Sell Ops) | Vellocity (Market + GTM) |
|---|---|
| Listing infrastructure | GTM campaign automation |
| Co-sell manager UI | AI-powered partner discovery |
| Private offer workflows | Private offer marketing campaigns |
| ACE opportunity tracking | ACE brief generation (97% time saved) |
Vellocity vs. Tackle¶
| Tackle (Build) | Vellocity (Market) |
|---|---|
| Marketplace listing creation | Listing content optimization |
| Revenue operations | Content-to-revenue attribution |
| Contract management | Agreement intelligence & alerts |
Vellocity vs. Suger¶
| Suger (API-First Build) | Vellocity (Market) |
|---|---|
| Marketplace API abstraction | GTM workflow orchestration |
| Developer-friendly listing | Marketer-friendly campaigns |
| Entitlement management | Campaign performance management |
Use Both: Deep Build tools manage listing infrastructure and billing at scale; Vellocity gets you a first listing fast and fills your pipeline. Many sellers start on Vellocity and add a Build tool as their catalog grows.
GTM Capabilities¶
1. Listing Optimization¶
Optimize your existing AWS Marketplace listing with AI-powered content improvements.
What you get: - SEO-optimized product descriptions - Compelling feature highlights - Use case and benefit statements - Technical specification formatting - Competitive positioning recommendations
Note: This optimizes an existing listing. Need to create one first? Use Vellocity's built-in AI listing generator (Dashboard → Marketplace Listings → Create) or a Build tool, then optimize it here.
2. GTM Content Generation¶
Generate marketing assets for demand generation campaigns:
| Content Type | Use Case | Generation Time |
|---|---|---|
| Blog Posts | Thought leadership, SEO | 30-60 seconds |
| LinkedIn Series | Social campaigns (5-10 posts) | 45 seconds |
| Email Sequences | Nurture, webinar promo | 30 seconds |
| Battlecards | Sales enablement | 2-3 minutes |
| Case Studies | Customer proof points | 2-3 minutes |
Navigate to: Dashboard > GTM Agents > Create Agent
3. Co-Sell Campaign Execution¶
Execute joint GTM campaigns with AWS ISV partners:
Partner Discovery: - AI-powered partner matching (ICP overlap, product fit) - Complementarity scoring (0-100) - Warm intro path identification via LinkedIn
Joint Campaigns: - Product launch coordination - Co-branded webinars - Content series collaboration - Event co-sponsorship
Asset Types: - Co-branded blog posts - Joint LinkedIn announcements - Shared sales decks - Partner case studies
4. Performance Tracking¶
Monitor GTM campaign effectiveness:
Content Analytics: - Views, engagement, shares - Channel performance comparison - Content type effectiveness
Pipeline Influence: - Content attribution to opportunities - Deal velocity impact - Touch-point analysis
Co-Sell ROI: - Partner campaign performance - Joint content engagement - Pipeline contribution by partner
Pre-Built GTM Workflows¶
Vellocity includes 10 workflow templates for common AWS Partner GTM motions:
| # | Workflow | Description |
|---|---|---|
| 1 | Product Launch | Blog + social + email for new features |
| 2 | Partner Co-Sell Brief | Relationship summary + talking points |
| 3 | Competitive Intelligence | Battlecard + positioning updates |
| 4 | Pipeline Influence Analysis | Content attribution reporting |
| 5 | ICP Content Optimization | Audience alignment analysis |
| 6 | Marketplace Listing Optimization | SEO + content improvements |
| 7 | Weekly GTM Digest | Performance summary + recommendations |
| 8 | Pre-Meeting Intelligence | Partner meeting prep brief |
| 9 | Private Offer Campaign | Awareness + conversion sequences |
| 10 | Quarterly Co-Sell Review | Partner ecosystem performance |
Getting Started¶
Quick Start Path¶
- Connect AWS — Setup Guide
- Configure Brand Voice — Settings > Brand Voice
- Create GTM Agent — Dashboard > GTM Agents
- Generate Content — Describe your campaign
- Track Performance — Analytics > GTM Performance
For Co-Sell Campaigns¶
- Complete Partner Profile — Co-Sell > Settings
- Discover Partners — Co-Sell > Partner Discovery
- Send Invitations — Review matches, invite partners
- Plan Campaign — Co-Sell > Plans > Create
- Approve & Publish — Coordinate content launch
AI Generation Best Practices¶
Effective Prompts¶
Good:
Generate a product launch campaign for our new API Gateway feature:
- 1 blog post (1000 words) targeting DevOps engineers
- 5 LinkedIn posts highlighting performance improvements
- 3-email sequence for existing customers
Focus on: reduced latency, simplified configuration, AWS native integration
Weak:
Brand Voice Optimization¶
For best results, configure: - Target keywords — 5-10 terms for SEO consistency - Differentiators — What makes you unique vs competitors - Tone settings — Match your brand personality - ICP definition — Who you're writing for
Marketplace Listing Optimizer (marketplace_listing_optimizer)¶
The agent capability behind the listing-side analysis on this hub.
| Field | Detail |
|---|---|
| Capability slug | marketplace_listing_optimizer |
| Required parameter | operation_type |
| Default operation | quick_score |
Operation modes and credit costs (from getEstimatedCredits()):
operation_type |
Credits | What it does |
|---|---|---|
quick_score (default) |
25 | Fast SEO + competitive scoring of a single listing version |
competitive_benchmark |
30 | Side-by-side benchmark against named competitors |
full_analysis |
45 | Deep audit covering content, SEO, competitive position, and AI visibility |
Backward-compat aliases domain_intelligence and content_optimization redirect to full_analysis and bill at 45 credits.
Scoring components and category-aware weights¶
The unified scoring engine (UnifiedListingScoreService) scores a listing 0–100 across three components and weights them by the listing's category, because each AWS Marketplace category is discovered differently. Weights come from ListingScoreWeights::PROFILES and each profile sums to 100:
| Category | Listing Quality | Backlink Authority | AI Visibility |
|---|---|---|---|
| SaaS (baseline) | 40 | 25 | 35 |
| AI Agents & Tools | 35 | 15 | 50 |
| AMI | 45 | 25 | 30 |
| Container | 45 | 25 | 30 |
| Professional Services | 45 | 30 | 25 |
Data products and any unmapped category inherit the SaaS baseline.
Scoring modes and the Premium gate¶
The optimizer UI runs in three modes: quick (Quick Score — default, rides the 7-day cache), full (Full Analysis — force-refreshes every live signal and re-scores), and bench (Competitive Benchmark — against named competitors). Full Analysis and Competitive Benchmark are Premium-tier — they carry a Premium badge and an upgrade CTA.
Full reference: see the dedicated Listing Optimizer feature page for the three components, category weights, modes, and Premium gate in detail.
For the AI-visibility-specific scoring (ChatGPT / Claude / Perplexity mentions), see Agent Discoverability Score which documents the separate marketplace_listing_seo capability.
Support¶
- FAQ — Common questions
- Troubleshooting — Setup issues
- Email: support@vell.ai
Market-first — with an on-ramp to get you listed.