These prompts are designed for current Breeze Assistant behavior in HubSpot. They perform best when they include a clear task, defined context, specific data sources such as CRM records or files, and a structured output format. Breeze is particularly effective at synthesizing relationship data, identifying patterns, preparing teams for interactions, and helping structure follow-up actions and workflows.
For software companies, especially SaaS and B2B platforms, Breeze is highly effective across the full customer lifecycle: pipeline management, deal progression, onboarding, product adoption, expansion, and retention. Software sales and success cycles are often driven by usage signals, stakeholder alignment, implementation milestones, and ongoing value realization—not just contract signatures.
This creates unique opportunities to use Breeze to identify friction in onboarding, detect churn risk early, surface expansion opportunities, and improve coordination between sales, customer success, product, and support. The prompts below are tailored to those workflows.
Use your portal’s exact pipeline names, stages, lifecycle stages, product lines, segments, and property names in the brackets below. That will improve output quality and make the results more actionable.
10 Breeze-optimized prompts for Software Companies
1) Sales meeting prep brief
Best for account executives preparing for discovery calls, demos, or late-stage deal conversations.
Prepare me for my meeting with [CONTACT NAME] at [COMPANY NAME]. Use the contact, company, associated deals, notes, emails, calls, meetings, and the last 6–12 months of activity in HubSpot. Give me: 1. a 1-paragraph relationship summary, 2. the prospect’s likely priorities and pain points, 3. objections or concerns mentioned in past interactions, 4. product fit signals based on engagement, 5. 5 smart questions I should ask in the meeting, 6. a concise follow-up email draft. Write this for a SaaS sales professional preparing for a high-impact conversation.
2) Stalled deal and pipeline risk analysis
Useful for identifying deals that are likely to slip or stall.
Analyze open deals in pipeline [PIPELINE NAME] with expected close dates in [DATE RANGE]. Flag which deals are most likely to stall based on: - stage duration, - last activity date, - missing next steps, - lack of stakeholder engagement, - overdue tasks, - notes indicating uncertainty or delays. For each at-risk deal, show: - current stage, - why it appears at risk, - what is missing, - the best next move, - a suggested action for this week. Start with an executive summary, then provide a deal-by-deal breakdown.
3) Onboarding and implementation risk scan
Strong fit for customer success and implementation teams.
Review accounts and deals in [ONBOARDING OR IMPLEMENTATION PIPELINE]. Identify the top 20 customers at risk of delayed onboarding based on: - long stage duration, - incomplete implementation steps, - overdue tasks, - low engagement, - open tickets or unresolved issues, - notes indicating confusion or technical blockers. For each account, provide: - why it appears at risk, - current onboarding stage, - what is blocking progress, - recommended next best action, - a short internal or customer-facing follow-up message. Output as a prioritized list.
4) Product adoption and usage signal analysis
Useful for identifying expansion opportunities or early churn risk.
Analyze CRM activity, notes, tickets, and engagement data for customers using [PRODUCT OR FEATURE]. Identify patterns that suggest: - strong adoption, - partial adoption, - declining engagement, - expansion opportunities. For each segment, provide: - defining characteristics, - key signals, - risks or opportunities, - recommended actions, - a sample outreach message. Keep the output actionable for a customer success team.
5) Expansion and upsell opportunity scan
Helps surface accounts ready for growth.
Review customers using [CURRENT PRODUCT] but not [TARGET PRODUCT OR FEATURE]. Use CRM history, notes, tickets, and engagement activity to identify the top 15 expansion candidates. For each candidate, provide: - why they are a fit, - signals supporting the recommendation, - likely angle for the conversation, - any risks to address first, - a personalized outreach draft. Focus on usage and relationship signals.
6) Customer churn and retention risk analysis
Critical for subscription-based businesses.
Analyze active customers with renewal dates in [DATE RANGE]. Identify accounts at risk of churn based on: - declining engagement, - unresolved support issues, - low product usage signals, - missed success milestones, - notes indicating dissatisfaction. For each at-risk account, provide: - risk level, - main reason for risk, - recommended next action, - suggested retention outreach message. Start with an executive summary, then provide account-level detail.
7) Support and issue trend clustering
Helpful for product and support teams.
Analyze tickets and support conversations from the last [90/180] days for [PRODUCT OR SEGMENT]. Cluster issues into categories such as: - bugs, - feature gaps, - onboarding confusion, - integration issues, - performance concerns. For each category, provide: - issue summary, - likely root cause, - representative examples, - whether this is a product, process, or support gap, - recommended action. Keep this useful for product and operations teams.
8) Lost deal pattern analysis
Improves sales strategy and positioning.
Review all closed-lost deals in pipeline [PIPELINE NAME] from the last [6/12] months. Group losses by: - segment, - product, - objection themes, - competitor mentions, - stage where lost, - missing capabilities or integrations. Then provide: 1. top 5 loss patterns, 2. recommended sales process changes, 3. product or positioning gaps, 4. 3 actions to improve win rate.
9) Ideal customer profile generation
Helps refine targeting and positioning.
Analyze closed-won deals and strongest customers from the last [12/24] months for [PRODUCT]. Create an ideal customer profile using: - company type, - size, - geography, - roles, - engagement patterns, - sales cycle signals, - use cases, - successful objections handled. Then provide: 1. ICP summary, 2. key stakeholders, 3. messaging angles, 4. poor-fit warning signs, 5. top 20 matching open deals or companies.
10) Workflow builder for churn or onboarding risk
Strong operational use case for scaling processes.
Build a workflow for [PIPELINE OR TICKET PIPELINE]. Goal: identify accounts at risk during onboarding or renewal. Criteria: - no activity in [X] days, - onboarding stage longer than [X] days, - high-priority ticket unresolved for [X] hours, - notes indicating risk or dissatisfaction. Create a workflow with: - enrollment triggers, - if/then branches, - notifications, - task creation, - internal notes, - optional customer outreach drafts, - exit criteria, - suppression logic. Show step-by-step workflow structure.
How to get the most out of Breeze Assistant
For best results, use exact pipeline names, lifecycle stages, product names, and segments in prompts. Be explicit about the output format you want, such as summaries, prioritized lists, or outreach drafts. The closer the prompt matches how your team actually manages sales, onboarding, and customer success in HubSpot, the more actionable the output will be.
