---
skill: go-to-market
title: Go To Market
input: "Launching an integrations marketplace for our analytics product. Target: existing mid-market customers and their ops teams. Goal: 30% of accounts install at least one integration within 60 days."
source: generated by claude-sonnet-4-6
---

I'll work with the information provided and make reasonable inferences for a mid-market analytics product with an integrations marketplace. Where I've made assumptions, I'll note them so you can swap in your specifics.

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# GTM Asset Pack — Integrations Marketplace Launch

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## 1. Positioning Statement

> For **operations teams at mid-market companies** who **struggle to get their data where it needs to be — moving it manually between tools or waiting on engineering to build one-off connections**, **[Product Name] Integrations Marketplace** is an **enterprise integration hub** that **lets ops teams connect their analytics to the tools they already use, in minutes, without writing a line of code**. Unlike **building custom integrations through your IT or data engineering queue**, our product **offers a growing library of pre-built, maintained connectors that ops teams can install and configure themselves**.

**Tagline:**
> *Your analytics, inside every tool your team already uses.*

*(≤10 words: "Your analytics, inside every tool you already use.")*

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## 2. Messaging Pillars

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**Pillar 1: Self-Serve Setup, No Engineering Required**

Ops teams can connect their analytics to critical business tools without opening a single ticket.

**Proof Points:**
- Average integration install time is under 15 minutes from search to live data flow [ADD PROOF POINT — replace with actual median install time from beta]
- Authentication, field mapping, and scheduling are handled through a guided UI — no code, no credentials handed to engineering [ADD PROOF POINT — confirm no-code scope from product team]
- [ADD PROOF POINT — beta customer quote on self-serve setup experience]

**Example in copy:**
> "Stop waiting on engineering. Connect your analytics to Salesforce, Slack, or your data warehouse in minutes — no tickets, no code, no back-and-forth."

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**Pillar 2: A Pre-Built Library That Grows With Your Stack**

Every integration in the marketplace is built, tested, and maintained by [Company Name] — so customers aren't inheriting a fragile DIY connector.

**Proof Points:**
- Marketplace launches with [N] integrations across CRM, BI, communication, and data warehouse categories [ADD PROOF POINT — confirm launch catalog count]
- All connectors are versioned and updated automatically when upstream APIs change, eliminating break/fix maintenance for customers [ADD PROOF POINT — confirm maintenance SLA or update policy]
- New integrations are added on a [monthly/quarterly] roadmap, prioritized by customer vote [ADD PROOF POINT — confirm cadence and voting mechanism]

**Example in copy:**
> "Choose from a growing library of pre-built, maintained connectors — and vote for what gets built next."

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**Pillar 3: Data Where Decisions Actually Happen**

Analytics is only valuable when it reaches the people and tools making decisions — not when it stays inside a dashboard nobody opens.

**Proof Points:**
- 74% of business decisions are made in operational tools like CRMs, spreadsheets, and messaging apps — not inside analytics platforms *(Forrester, 2023 — confirm citation or replace)*
- Customers using [Product Name] with connected downstream tools report [X]% higher dashboard engagement [ADD PROOF POINT — pull from product usage or NPS data]
- [ADD PROOF POINT — customer example showing outcome improvement after integrating analytics into a workflow tool]

**Example in copy:**
> "Your team makes decisions in Salesforce, Slack, and Sheets — now your analytics can meet them there."

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**Pillar 4: Built for Mid-Market Ops — Not Enterprise IT Projects**

The marketplace is scoped for the way mid-market ops teams actually work: fast, scrappy, and without a dedicated integration team.

**Proof Points:**
- No professional services engagement required to activate integrations — all configuration is self-documented in-product [ADD PROOF POINT — confirm no PS dependency]
- Permissions and access controls let ops admins manage integrations without exposing sensitive credentials to individual users [ADD PROOF POINT — confirm RBAC scope from product/security team]
- Priced as part of existing subscription — no separate integration tax or per-connector fees [ADD PROOF POINT — confirm pricing model before launch]

**Example in copy:**
> "Designed for the ops team of 3, not the IT department of 300 — no consultants, no contracts, no extra line items."

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**Pillar 5: One Connected System, Auditable and Secure**

Every data flow through the marketplace is logged, permissioned, and auditable — so ops teams move fast without creating compliance risk.

**Proof Points:**
- All integration activity is captured in a centralized audit log accessible to admins [ADD PROOF POINT — confirm audit log feature scope]
- OAuth 2.0 authentication standard used across all connectors — no stored plaintext credentials [ADD PROOF POINT — confirm with security team]
- [ADD PROOF POINT — SOC 2 / compliance certification reference if applicable]

**Example in copy:**
> "Every connection is logged and permissioned — so your team can move fast without your security team losing sleep."

---

## 3. Feature & Functionality List

| Feature / Functionality | Buyer Benefit |
|---|---|
| Pre-built connector library (CRM, BI, data warehouse, messaging) | Eliminates weeks of scoping and engineering effort to connect analytics to existing tools |
| Guided, no-code install wizard | Enables any ops team member to set up a live integration in minutes — no technical background required |
| Automated connector maintenance and API version updates | Removes the ongoing cost and risk of maintaining homegrown integrations that break when upstream tools change |
| Field mapping and transformation UI | Gives ops teams control over exactly what data flows where, without writing transformation scripts |
| Role-based access control for integrations | Ensures only authorized team members can install or modify connections, reducing accidental data exposure |
| Centralized integration audit log | Provides admins with a full history of all data flows for compliance reviews, troubleshooting, and security audits |
| Scheduled and event-triggered sync options | Delivers data to connected tools on the schedule that matches business workflows — not just on-demand exports |
| In-marketplace user voting for new connectors | Gives ops teams direct influence over the integration roadmap, ensuring future connectors reflect actual tool adoption |
| Integration health monitoring and alerting | Notifies ops admins proactively when a connection fails — reducing silent data gaps that corrupt downstream reporting |
| Single-pane integration management dashboard | Saves time by showing all active connections, sync status, and error states in one place without switching between tools |

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## 4. Use Cases

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**Use Case 1: Revenue Operations Manager — Syncing Analytics Insights to CRM**

- **Who:** Revenue Operations Manager, mid-market B2B SaaS company (~200–1,000 employees)
- **Situation:** The RevOps manager needs account health scores and product usage metrics to appear directly in Salesforce so AEs can act on churn risk without leaving their CRM.
- **Before:** RevOps exports a CSV from the analytics platform weekly, manually uploads it to Salesforce, and maps fields by hand. The process takes 3–4 hours every Friday and the data is stale by Tuesday. AEs either ignore the separate dashboard or ask RevOps for one-off pulls.
- **With [Product Name] Marketplace:** RevOps installs the Salesforce connector in 12 minutes, maps product usage fields to custom Salesforce objects through a point-and-click UI, and sets a nightly sync schedule.
- **Outcome:** AEs see live account health scores on every Salesforce account record. RevOps reclaims 3+ hours per week. Churn escalations are triggered automatically based on score thresholds — no manual monitoring required.

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**Use Case 2: Business Operations Analyst — Automating Reporting Into BI Tools**

- **Who:** Business Operations Analyst, mid-market operations or finance team
- **Situation:** The analyst maintains a Tableau or Looker dashboard for executive reporting, which requires pulling fresh data from the analytics platform each week before the Monday leadership meeting.
- **Before:** The analyst manually exports data, reformats it in Excel to match the BI tool's expected schema, and re-uploads. Any change to the analytics platform's output breaks the downstream dashboard and causes a scramble before the Monday call.
- **With [Product Name] Marketplace:** The analyst connects the analytics platform directly to their BI tool via the marketplace connector. Field mappings are saved and versioned. Data refreshes automatically every Sunday night.
- **Outcome:** The Monday dashboard is always current with zero manual prep. Schema changes in the analytics platform surface as mapping alerts — not silent breakage. The analyst redirects 4+ hours per week from data plumbing to actual analysis.

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**Use Case 3: Operations Team Lead — Pushing Alerts Into Slack for Real-Time Response**

- **Who:** Operations Team Lead managing a customer success or support function
- **Situation:** The ops lead wants their team to act immediately when a key metric crosses a threshold (e.g., a customer's usage drops below a retention risk threshold) — but the team lives in Slack, not in the analytics dashboard.
- **Before:** The team lead sets up email alerts inside the analytics platform, but they get buried. Alternatively, they assign a team member to check the dashboard daily — an inconsistent process that misses evenings and weekends.
- **With [Product Name] Marketplace:** The ops lead installs the Slack connector, creates a channel for operational alerts, and maps specific metric thresholds to automated Slack notifications in under 20 minutes.
- **Outcome:** The team receives real-time alerts in the channel they monitor all day. Response time to at-risk customer signals drops from 24–48 hours to under 2 hours. No dashboard babysitting required.

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**Use Case 4: IT/Systems Admin — Managing and Auditing All Integrations Across the Org**

- **Who:** IT Systems Administrator or Internal Tools Admin responsible for data governance
- **Situation:** Multiple ops team members have started installing integrations independently. The admin needs to see what's connected, who authorized it, where data is flowing, and whether any connections are failing — without asking each team.
- **Before:** No centralized view exists. The admin discovers integrations by asking around or receiving a complaint when a downstream report breaks. There's no audit trail for compliance reviews.
- **With [Product Name] Marketplace:** The admin accesses the Integration Management Dashboard, sees all active connectors, owner, install date, sync frequency, and last-run status. They review the audit log filtered by date range for a quarterly compliance review in minutes.
- **Outcome:** The admin can complete a full integration audit in under 30 minutes. Failed connections are caught proactively via health alerts before they affect business reporting. Compliance documentation is exportable directly from the dashboard.

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**Use Case 5: VP of Operations — Driving the 60-Day Integration Adoption Goal**

- **Who:** VP of Operations or Chief of Staff sponsoring the internal rollout of the integrations marketplace
- **Situation:** Following the marketplace launch announcement, the VP needs to drive adoption across their team without creating a large change management project or requiring engineering involvement.
- **Before:** Rolling out new technical tooling at this company typically requires an IT project kickoff, a training session, documentation written by someone technical, and weeks of back-and-forth. Adoption still lags because the tools feel built for engineers.
- **With [Product Name] Marketplace:** The VP shares the marketplace URL with their ops team leads with a one-page use case guide (this document). Each team lead self-identifies their highest-value integration use case, installs it independently, and reports back within a week. The VP tracks adoption via the admin dashboard.
- **Outcome:** First integrations are live within the first week post-launch with no engineering involvement. The VP achieves measurable tool connectivity across the ops function within the 60-day window — with a clear audit trail to share upward as a business impact story.

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## Flagged Items Before Launch

The following placeholders require your team to insert real data before this asset pack goes external:

| # | Placeholder | Owner | Priority |
|---|---|---|---|
| 1 | Median integration install time (beta data) | Product / Analytics | 🔴 High — used in Pillar 1 and Use Cases |
| 2 | Launch catalog integration count | Product | 🔴 High — core credibility claim |
| 3 | Connector maintenance/update SLA | Engineering | 🔴 High — Pillar 2 differentiator |
| 4 | Dashboard engagement lift data (connected vs. unconnected) | Data / Analytics | 🟡 Medium — Pillar 3 proof |
| 5 | Forrester citation confirmation | Marketing | 🟡 Medium — Pillar 3 stat |
| 6 | Pricing model confirmation (included vs. add-on) | Product / Finance | 🔴 High — Pillar 4 claim |
| 7 | SOC 2 / compliance certification status | Security / Legal | 🟡 Medium — Pillar 5 trust signal |
| 8 | Beta customer quote on self-serve experience | Customer Success | 🟡 Medium — social proof across all pillars |

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**Not for:** Enterprise accounts requiring custom connector development, professional services scoping, or dedicated integration support. This marketplace is designed for self-serve activation — accounts needing heavily customized data pipelines should be routed to the solutions engineering team.
