# RevOps & Sales Tech Stack Directory

> A vetted, category-by-category map of CRM, conversation intelligence, forecasting, and comp tools worth evaluating, with the buying criteria that actually differentiate them.

Free directory for sales leaders. Topic: [Sales Leadership & GTM Strategy](https://www.peerlab.ai/library/topic/sales-leadership-gtm-strategy/). Published by PeerLab in the [Sales Enablement Resource Library](https://www.peerlab.ai/library/). Source: https://www.peerlab.ai/library/revops-sales-tech-stack-directory/

## How to use it

Use the category buying criteria to build your own evaluation scorecard before taking vendor calls, follow the stage sequencing guide so you're not buying category-9 tools while category-1 hygiene is still broken, and run the red-flag checklist on every finalist before signing.

## What's inside

- 9 tech-stack categories with what each category does and why it exists
- Buying-criteria checklist per category, the questions that separate a good fit from a logo on a slide
- Example vendors per category (not exhaustive, a credible evaluation shortlist)
- Integration-dependency map, which categories must talk to each other to work at all
- Stack sequencing guide, what to buy first at each company stage (seed/Series A vs. scale-up)
- Red flags checklist for vendor evaluation calls
- Total-stack cost sanity-check ranges by company size

A category map, not a ranked list: the right vendor depends on your motion, ACV, and stage. Evaluate against the buying criteria in each section rather than picking the most-mentioned name in a LinkedIn post.

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## 1. CRM (system of record)

**What it does:** the single source of truth for accounts, contacts, opportunities, and pipeline stage.

**Buying criteria:**
- Can it enforce your stage-gate/required-field rules without heavy custom code?
- Reporting flexibility without needing an admin for every new report
- Native or clean integration with your conversation intelligence and sales engagement tools
- Total cost at your expected seat count in 2 years, not just today

**Examples to evaluate:** Salesforce, HubSpot, Pipedrive, Microsoft Dynamics 365

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## 2. Conversation Intelligence

**What it does:** records, transcribes, and analyzes sales calls for coaching, deal risk signals, and competitive intelligence.

**Buying criteria:**
- Transcription accuracy on your specific accents/jargon/product terms
- Searchability, can a manager find "every call where competitor X was mentioned" in seconds?
- Coaching workflow (clip-sharing, scorecards) vs. just call recording
- Deal-risk signal quality (does it flag real risk, or just sentiment noise?)

**Examples to evaluate:** Gong, Chorus (ZoomInfo), Clari Copilot, Avoma

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## 3. Sales Engagement / Cadence

**What it does:** manages outbound sequences, email/call cadences, and rep activity tracking.

**Buying criteria:**
- Deliverability protection (won't tank your domain reputation)
- Native CRM sync (activity logged automatically, not manually)
- A/B testing on sequences with real reporting, not just "sent" counts
- Multi-channel support if your motion needs LinkedIn/phone alongside email

**Examples to evaluate:** Outreach, Salesloft, Apollo.io

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## 4. Forecasting & Pipeline Analytics

**What it does:** rolls up rep-level forecasts, tracks forecast accuracy over time, and flags at-risk deals before they slip.

**Buying criteria:**
- Does it use actual deal-level signals (engagement, stage velocity) or just ask reps to self-report a number?
- Historical accuracy tracking baked in, not a manual spreadsheet exercise
- Manager rollup and override workflow that doesn't bury the rep's original number

**Examples to evaluate:** Clari, Gong Forecast, BoostUp, Salesforce native forecasting

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## 5. Compensation Management

**What it does:** calculates commissions/comp against the plan automatically, and gives reps real-time visibility into their own earnings.

**Buying criteria:**
- Can it model your actual comp plan (accelerators, SPIFs, splits) without a spreadsheet workaround?
- Rep self-service visibility (reduces "what did I earn" tickets to RevOps)
- Audit trail for disputes: this is a direct comp-dispute mitigation tool

**Examples to evaluate:** CaptivateIQ, Xactly, Spiff (Salesforce)

---

## 6. CPQ / Contract & Proposal

**What it does:** configure-price-quote and e-signature for closing deals cleanly, especially with complex pricing.

**Buying criteria:**
- Handles your actual pricing complexity (tiers, discount approval workflows) without manual overrides
- Turnaround time for a rep to generate a compliant quote
- E-signature and audit trail for legal/finance

**Examples to evaluate:** DocuSign CLM, PandaDoc, Salesforce CPQ

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## 7. Data Enrichment & Intent

**What it does:** appends firmographic/technographic data to accounts and surfaces buying-intent signals.

**Buying criteria:**
- Data freshness and accuracy for your specific ICP (test on a sample before buying)
- Intent signal quality, does it predictably correlate with your own pipeline conversion?
- Native enrichment inside your CRM/engagement tool vs. a separate lookup step

**Examples to evaluate:** ZoomInfo, Clearbit (part of HubSpot), Apollo.io, 6sense

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## 8. Onboarding & Enablement

**What it does:** houses training content, certifications, battlecards, and content search for reps.

**Buying criteria:**
- Content findability at the moment of need (mid-call, not just in a training module)
- Certification/completion tracking tied to ramp milestones
- Analytics on which content actually correlates with rep performance

**Examples to evaluate:** Highspot, Seismic, Mindtickle

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## 9. Coaching & Skill Development

**What it does:** structured scorecards, role-play practice, and skill-progression tracking distinct from raw call recording.

**Buying criteria:**
- Rubric-based scoring (not just "good/bad" sentiment) tied to named skills/competencies
- Manager time-to-review, does it make call review faster or slower?
- Evidence that coaching usage correlates with ramp speed or win rate in your own data, not just the vendor's case studies

**Examples to evaluate:** Mindtickle, purpose-built coaching platforms, or your conversation intelligence tool's native coaching module

---

## Integration-Dependency Map

These categories are not independent purchases, buying them out of order creates rework:

1. **CRM** is the foundation, buy/fix this first; everything else integrates into it
2. **Sales Engagement** and **Conversation Intelligence** both need clean CRM data to log activity correctly
3. **Forecasting** tools are only as good as CRM stage-gate discipline, buying a forecasting tool to fix bad CRM hygiene treats the symptom
4. **Comp Management** needs both CRM (bookings data) and HRIS (headcount/plan assignment) to work

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## Stack Sequencing by Stage

| Stage | Buy now | Wait |
|---|---|---|
| Seed / early Series A | CRM, a lightweight sales engagement tool | Dedicated forecasting tool, CPQ, comp management platform (spreadsheets are fine at low volume) |
| Series B / scaling | Conversation intelligence, forecasting tool, data enrichment | Full enablement platform (unless content sprawl is already a problem) |
| Growth stage | Comp management platform, CPQ, dedicated enablement/coaching platform |: everything above should be in place |

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## Red Flags on Vendor Evaluation Calls

- Cannot name a customer at your exact company size/segment as a reference
- Pricing requires a call instead of a public or semi-public range
- Implementation timeline estimate feels shorter than the vendor's own case studies suggest for similar companies
- No clear answer on data export/portability if you leave
- "AI-powered" features with no explanation of what data trains them or how accuracy is measured

---

## Total-Stack Cost Sanity Check

| Company size (quota-carrying reps) | Rough total stack cost range (annual, excluding CRM seat cost) |
|---|---|
| 1-10 reps | Low, prioritize CRM + one engagement tool; most other categories can wait |
| 10-50 reps | Moderate, conversation intelligence and forecasting typically justify themselves here |
| 50+ reps | Full stack typically justified; comp management ROI becomes clear as plan complexity grows |

Always run a per-rep cost against expected productivity lift before adding a new tool, tool sprawl with no adoption tracking is one of the most common hidden costs in a GTM org.