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