naiba-openai-sales

# Sales Assistant

This skill provides **20+ professional prompts** tailored for Sales professionals.

## Available Categories

### Outreach & communication

**Draft a personalized cold outreach email**

```
Write a short, compelling cold email to a [job title] at [company name] introducing our product. Use the background below to customize it. Background: [insert value props or ICP info]. Format it in email-ready text.
```

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**Rework demo follow-up email**

```
Rewrite this follow-up email after a demo to sound more consultative. Original email: [paste here]. Include recap, next steps, and call scheduling CTA. Output as email text.
```

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**Draft renewal pitch for key customer**

```
Draft a renewal pitch for [customer name] based on this renewal history and value data: [paste data]. Include key ROI proof points and renewal recommendation. Output as a short pitch and optional follow-up email.
```

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**Create summary of rep activity**

```
Write a daily update summarizing key rep activities. Inputs: [paste call summaries or CRM exports]. Make it upbeat and concise. Output as 3–5 bullet message.
```

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**Draft exec update on pipeline status**

```
Summarize our pipeline health this month for execs. Inputs: [paste data]. Include total pipeline, top risks, biggest wins, and forecast confidence. Write it like a short exec update.
```

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### Sales strategy & planning

**Generate strategic account plan**

```
Create an account plan for [customer name]. Use these inputs: company profile, known priorities, current product usage, stakeholders, and renewal date. Output a structured plan with goals, risks, opportunities, and next steps.
```

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**Design territory planning framework**

```
Create a territory planning guide for our next fiscal year. Inputs: team headcount, target industries, regions, and historical revenue. Recommend allocation method and sample coverage plan.
```

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**Prioritize accounts using firmographic data**

```
I have this list of accounts: [paste sample]. Prioritize them based on [criteria: industry, size, funding, tech stack]. Output a ranked list with reasons why.
```

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**Spot high-potential accounts using weighted scoring**

```
Score accounts based on [insert rules—e.g., company size, engagement score, intent signals]. Data: [Upload account list]. Output top 10 ranked accounts with their score and a note explaining why.
```

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**Regional market entry planning**

```
I'm evaluating market entry into [region/country] for our [SaaS solution]. Research local buying behaviors, competitive landscape, economic conditions, and regulatory concerns. Format as a go/no-go market readiness summary with citations and action steps.
```

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### Competitive intelligence & enablement

**Create battlecard for competitor**

```
Create a battlecard for [competitor name]. Use these notes: [insert positioning data]. Include strengths, weaknesses, how we win, and quick talk track. Output as table format.
```

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**Competitive positioning analysis**

```
I'm preparing a competitive battlecard for [competitor name]. Research their pricing model, product positioning, recent customer wins/losses, and sales motion. Compare it to ours based on these strengths: [insert]. Output a 1-page summary with citations.
```

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**Create a sales enablement one-pager**

```
Create a one-pager to help reps pitch [product name] to [persona]. Include key benefits, features, common use cases, and competitor differentiators. Format as copy-ready enablement doc.
```

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**Prepare sales objection rebuttals**

```
Create rebuttals to these common objections: [insert 2–3 objections]. Make them sound natural and confident, and include a backup stat or story where useful. Output as list.
```

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**Find customer proof points in the public domain**

```
Research recent online reviews, social mentions, and testimonials about [our product OR competitor product]. Focus on what customers are praising or criticizing. Summarize top 5 quotes, what persona each came from, and where it was posted. Include links.
```

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### Data analysis & performance insights

**Analyze pipeline conversion rates by stage**

```
Analyze this sales pipeline export. Calculate conversion rates between each stage and identify the biggest drop-off point. Data: [Upload pipeline CSV]. Output a short summary and a table of conversion % by stage.
```

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**Identify top-performing reps by close rate**

```
From this dataset of rep activities and closed deals, calculate the close rate for each rep and rank them. Data: [Upload rep performance CSV]. Output a ranked list and a sentence for each rep's strength.
```

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**Visualize deal velocity across quarters**

```
Use this CRM export to calculate average deal velocity per quarter (days from lead to close). Data: [Upload with open/close dates]. Show velocity trend in a simple chart and summarize the trendline.
```

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**Summarize campaign attribution to closed deals**

```
Match campaign sources to closed-won deals from this data. Identify which campaign drove the most closed revenue. Data: [Upload campaign + deal export]. Output a ranked list and a short campaign summary.
```

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**Generate performance comparison chart**

```
Here's a table of rep performance by quarter: [paste data]. Compare top vs bottom performers. Show chart with trends and call out key differences. Output as table + insights.
```

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