Conversation Intelligence
AI Sales Coaching
Reviews calls against your methodology and gives each rep coaching notes.
Conversation Intelligence
AI Sales Call Analysis for SaaS
Demo, trial, renewal and expansion calls analyzed against the deal stage, so slipping SaaS deals surface before the quarter closes.
Your AEs and CSMs record every demo, trial check-in and renewal call, but managers only hear the few a rep chooses to share. This edition transcribes them all and reads each call against its deal stage and account history. It flags the SaaS risk signals you define, such as a seat-count objection or a missing champion, and shows whether real next steps were agreed.
- Demo, trial, renewal and expansion calls analyzed against each deal
- SaaS risk signals like a missing champion flagged early
- Next steps checked call by call before trials go quiet
$3,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Sales Call Analysis for SaaS transcribes demo, trial check-in, renewal and expansion calls, then reads each one against the deal stage and account history in your CRM. It flags SaaS risk signals you define, such as a seat-count objection or a missing champion, and reports agreed next steps. Findings arrive in one channel.
Why businesses buy it
In SaaS, deals rarely fail on the demo. They fail weeks later, when a trial stalls because technical validation was never agreed, or when a renewal call hints at churn and nobody hears it. Reviewing calls by hand cannot keep up with that volume. This edition listens to every call across new business and customer success, so slipping deals and at-risk renewals surface before the quarter closes. The risk signals, sources and reporting channel are written into the scope before you order, so your revenue team knows exactly what it will flag.
Problems this solves
Trial check-in calls end without a clear path to a paid plan
Demo, trial check-in, renewal and expansion calls are transcribed and read against each account's deal stage. The SaaS call scorecard flags check-ins where no step toward conversion was agreed.
Seat-count objections surface at renewal when it is too late
You define the SaaS risk signals, such as a seat-count objection or a missing champion. The risk-signal library catches them on any call, so the account team hears about them early.
A champion leaves and nobody notices until the renewal call
Calls are read against account history in your CRM to spot a missing or changed champion. Alerts in your chosen channel name the account, so someone can rebuild the relationship in time.
A good fit if
Your AEs and CSMs record every demo and renewal call, but managers only hear the ones a rep chooses to share.
Trials stall after a good demo and nobody can say whether a technical validation step was actually agreed.
Renewal and expansion calls happen in customer success, separate from new business, and leadership sees neither clearly.
Deal data sits in HubSpot or Salesforce, with plan and usage data in Stripe or a product analytics tool.
Not the right fit if
You want each rep coached against your sales methodology, not call metrics reported. See AI Sales Coaching.
You need an account-level renewal risk score built from usage, tickets and billing. See AI Customer Health Score for SaaS.
You want retention workflows run against at-risk subscribers. See AI Churn Prevention for SaaS.
You need a weekly forecast with the reasoning behind each number. See AI Sales Forecasting.
How it works
- Three read-only sources are connected: your call recordings, your CRM, and optionally Stripe or product analytics, so a renewal call is read alongside the account's plan.
- Each recording is transcribed and matched to its deal, and the SaaS workflow template tags it by motion: demo, trial check-in, onboarding, renewal or expansion.
- Signals are defined with your sales and CS leads, up to 25, such as a seat-count objection, a security review mention, a competitor named or no champion identified.
- Talk ratio, questions asked and spoken next steps are measured per call type, so a demo is judged differently from a discovery call.
- Findings go to one channel as a dashboard or recurring report, with up to five alerts, such as an expansion call where pricing was raised but no follow-up agreed.
- Before launch, results are replayed over three months of your recorded calls, so flags line up with deals you know were won or lost.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your call recording tool and to HubSpot or Salesforce, plus Stripe or product analytics if used.
- Your deal stages and how a trial, renewal and expansion opportunity are recorded in the CRM.
- The SaaS risk signals and talk-ratio targets your sales and CS leads care about.
- At least three months of recorded calls, including deals that were lost or churned.
- Who receives the report and alerts, and on which channel.
- Admin access and API keys for each source, shared securely, never by email, plus one decision-maker.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified; call motions, stages and SaaS signals agreed.
Weeks 1–2
Recording, CRM and billing or usage sources connected; transcription built.
Week 3
Signals, talk-ratio targets and alert routing configured.
Weeks 3–4
Results replayed over three months of demo and renewal calls.
Week 4
Review with sales and CS leads, two rounds of changes.
Go-live
Live, recorded 60-minute handoff, support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
What you receive at handover
- AI Sales Call Analysis for SaaS configured for demo, trial, renewal and expansion calls
- A SaaS call scorecard and a risk-signal library tuned to the signals you define
- Read-only connections to up to three systems, such as your CRM and call recorder
- One dashboard or recurring report with up to five alerts
- A test report using SaaS scenarios, checked against three months of your data
- An admin guide, a recorded handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Helps catch renewal and expansion risk while there is time to act
- Can make trial check-ins more consistent from rep to rep
- Makes call coaching specific to the SaaS sales motion your team runs
- Trial-to-paid conversion
- Use billing or CRM data to compare conversions for trials with a recorded check-in, the quarter before launch against the quarter after.
- Renewals flagged early
- From the call report, count renewals where a risk signal appeared well before the renewal date. Compare quarter on quarter.
- Gross revenue retention
- Take renewal figures from your billing system and compare the two quarters before launch with the two after.
Before you start: Record trial-to-paid conversion and renewal rates for the last two quarters. List recently churned accounts with the reasons you know.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is a one-time cost. Processing new calls afterwards runs roughly $20 to $150 a month for AI model usage and a hosting or scheduler service, billed in your own accounts. Your CRM, recording tool, Stripe and analytics plans are unchanged.
AI usage during the build and back-test is also billed to your accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
Writing findings back into HubSpot or Salesforce fields, a fourth source such as your helpdesk, or a second language of calls sits outside this Scope Card. Add a note at checkout for a written Change Quote.
Request a custom versionKeep it running
After launch, monthly maintenance keeps the analysis in step with your pricing and plans: monitoring, fixes and monthly change hours to add a signal after a pricing change or retune alerts for a new plan tier. It begins after the 30 days of support and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A revenue intelligence platform charges per recorded seat each year | A RevOps consultancy quotes after discovery | Ours is one fixed price, shown before you buy |
| Renewal and expansion | Often licensed separately for customer success seats | Depends on the brief | Ours analyses demo, renewal and expansion calls in one build |
| Account context | Call data and billing data live in different tools | An agency build depends on what was agreed | Ours can read Stripe or usage data alongside the call |
| Delivery | A platform connects quickly but needs weeks of tuning | An agency usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Which SaaS call types does AI Sales Call Analysis for SaaS tell apart?
Demo, trial check-in, onboarding, renewal and expansion calls, using the deal stage and pipeline in your CRM. Each type can have its own signals and talk-ratio targets, so a renewal call is judged on whether usage concerns were addressed, while a demo is judged on discovery questions and an agreed next step.
Can it flag a renewal call where the customer talks about downgrading or cutting seats?
Yes, if you define that as one of your signals. Downgrade language, seat reductions, a budget freeze or a request to move to monthly billing are common choices. A flagged renewal call can trigger one of your five alerts, so the account owner and CS lead see it the same day.
Does the SaaS edition read Stripe or product usage alongside the call?
It can, as one of the three read-only sources. A typical setup is your recording tool, HubSpot or Salesforce, and either Stripe or a product analytics tool. That lets a report show a renewal call next to the account's current plan, rather than reading the conversation with no account context.
Will it update deal records in HubSpot or Salesforce?
No. Every source in this build is read-only, so the CRM is never changed. Findings, summaries and alerts arrive in the one channel you choose: email, Slack or a web dashboard. If you want fields written back to deals, add a note at checkout and it is scoped as a Change Quote.
Can the SaaS call analysis edition be delivered faster?
Yes. Express and rush delivery are both available, and the date and price for each are shown on this page before you buy. The scope stays exactly the same whichever you choose. Testing still covers your demo, trial and renewal calls. Running costs of roughly $20 to $150 a month for AI usage and hosting are separate and paid in your own accounts.
How much call history does the three-month check need?
At least three months of recorded calls with their matching deals, ideally including some trials that did not convert and renewals that churned. Those outcomes are what the back-test checks against. If your recording only started recently, raise it at intake, because a thinner history makes the pre-launch check less reliable.
Hear what slipped on the call before it slips from the forecast.
Order AI Sales Call Analysis for SaaS and every demo, renewal and expansion call is transcribed, read against its deal and flagged for the signals your team set, on a delivery date shown before you pay.
Works well with
Pipeline & Deals
AI Deal Intelligence
Summarizes every deal's status, stakeholders and risks before key calls.
Pipeline & Deals
AI Sales Forecasting
Produces weekly forecasts from pipeline data with the reasoning behind each number.