The Business Case for Salesmotion

Written for the person who has to approve it. Forward freely. Last updated 10 July 2026.

Salesmotion is an account intelligence platform: three AI agents that monitor buying signals across 1,000+ sources, build research briefs on every account, and draft outreach anchored to real events. This page contains the four things an approver asks for: the cost, the time math, the evidence, and the risk profile. Every customer number below is a verified, attributed result; assumptions are labeled as assumptions.

1. The cost, published

Pricing is public, monthly, and has no annual lock-in on self-serve plans:

  • Individual: $85/month for one user monitoring 100 accounts, with unlimited research.
  • Team and Enterprise: published on the pricing page; team plans include the team rather than charging per seat, and pricing scales with accounts monitored, not headcount.

The pricing model matters for the math below: because cost scales with accounts rather than seats, adding a rep to the team does not add a licence fee.

2. The time math

The measurable input Salesmotion changes first is research time. Verified customer results, each attributed and on the record:

  • 6 hours per rep per week saved: Jonathan Burr, Chief Commercial Officer, Cytel; the same figure reported independently by Derek Rosen, Director of Strategic Accounts, Guild Education.
  • 85% research time reduction: Andrew Giordano, VP Global Commercial Operations, Analytic Partners.
  • 90% research time reduction: Thomas Meichtry, Head of Sales North America, Frontify.

Worked example, with the assumption labeled: take the verified 6 hours per rep per week and assume a loaded cost of $50/hour for a rep (adjust to your own number). That is $300 per rep per week, roughly $1,200 per rep per month in recovered selling time, against an $85 to low-hundreds per-month platform cost. A 10-rep team recovers about 60 selling hours weekly, the equivalent of adding more than a full-time seller without a hire.

Time recovered is only valuable if it converts. That is the next section.

3. The pipeline evidence

Verified, attributed outcomes from named customers:

  • 40% more qualified pipeline and $1M+ Fortune 500 pipeline generated: Andrew Giordano, Analytic Partners (case study).
  • 42% higher sales velocity, 4x self-sourced revenue, 35% win-rate improvement (US), and 31% shorter sales cycles: Thomas Meichtry, Frontify (case study).
  • 2x meetings booked: Joe DeFrance, VP of Sales, Incredible Health (case study).
  • 3x deal size and 60% prep-time reduction: Adam Wainwright, Head of Revenue, Cacheflow (case study).
  • 5 tools consolidated into 1: reported independently by Cytel (case study) and Clari. Tool consolidation is often the line that funds the purchase: teams typically retire a separate news-monitoring or contact subscription.

4. The risk profile

What an approver typically wants to know before signing:

  • Time to value is days, not quarters. Incredible Health implemented in 3 days (Joe DeFrance); Cacheflow reported value within 24 hours (Adam Wainwright). There is no services engagement.
  • No annual commitment on self-serve plans. Monthly billing, cancel in settings. The exit cost of a failed experiment is one month.
  • Narrow data surface. The platform processes public company information plus your workspace configuration; no patient, clinical, or special-category data. Details on the security page, including our honest certification status and DPA.
  • Adoption risk is the real risk for any sales tool, so test it the way that exposes it: a 1-to-3 rep pilot on real accounts for two weeks. If reps do not open it unprompted in week two, do not roll it out.

5. How to run the evaluation

  1. Pick 1 to 3 reps and load their real territory (paste the account list; typical accounts process in ~15 minutes).
  2. Run two weeks in parallel with the current workflow. Count two things: hours of research replaced, and signals surfaced that the team would otherwise have missed.
  3. Compare against the math in section 2 with your own loaded cost per rep. The interactive demo shows the workflow before you commit a pilot.

Frequently asked questions

What does Salesmotion cost for a team?

Individual plans are $85/month. Team and enterprise pricing is published on the pricing page; team plans include the whole team, and pricing scales with accounts monitored rather than per-seat licences, so headcount growth does not grow the bill.

How fast do teams see value?

The verified range: value within 24 hours (Cacheflow) and full implementation in 3 days (Incredible Health). Accounts process within hours of import and signals begin flowing immediately, so a two-week pilot produces a real before/after comparison.

What is the realistic ROI?

The conservative, verified anchor is time: 6 hours per rep per week (Cytel, Guild Education). At a $50/hour loaded cost, that is roughly $1,200 per rep per month against a platform cost an order of magnitude lower. Pipeline effects (40% more qualified pipeline at Analytic Partners, 42% velocity at Frontify) came on top of that for teams that ran signal-driven outbound, but build your case on the time math and treat pipeline lift as upside.

What if it does not get adopted?

Cancel: self-serve plans are monthly with no annual commitment. The recommended structure is a small pilot with named reps and a two-week checkpoint, which surfaces adoption problems before any wider rollout. Intelligence is delivered inside Salesforce, HubSpot, and email alerts, where reps already work, which is the main structural defense against the unused-tab problem.