01
Set the strategy
One goal, a timeframe, a budget and a team. Every play is judged against it.
Plays & Experiments
Set the strategy. Run the plays. Keep what works.
Tell Scale Intelligence what you're going for. It runs plays toward that goal, measures each one against accounts it left alone, and shows you what actually moved pipeline.
Your strategy
GoalBudgetTimeframeTeam
Signals
HiringEngagementComplaintsSite changes
Your stack
CRMSequencerLinkedInAds
Plays · Q4 outbound
Goal: 20 meetings| Play | Forecast | Lift | Verdict |
|---|---|---|---|
| Hiring SDRs → lead with pipeline | 6–10 | +6 | Scale |
| Complained about a rival → switch offer | 3–6 | +2 | Keep testing |
| Visited pricing → customer story | 4–8 | +0 | Stop |
| Engaged with AI SDR posts → teardown | 2–5 | … | Running |
Meetings per 100 accounts, against accounts each play didn't touch. Results feed the next forecast.
Scale
More budgetMore accounts
Keep testing
New messageLonger window
Stop
Retire the playFree the budget
A feedback loop for your go-to-market
Most teams launch campaigns and hope. Here every play starts from your strategy, is measured against what would have happened anyway, and feeds what you run next. The longer it runs, the better it knows what works for you.
Get a demo02
Run plays as bets
Each play writes down what it expects before it runs, and the number that would prove it wrong.
03
Measure the lift
Results are compared with similar accounts the play didn’t touch, so only what it caused counts.
04
Keep what works
Winners get more budget, plays that wear out are retired, and forecasts sharpen every run.
Most tools tell you what happened. This tells you what worked.
Strategy · UK IT services
Goal20 meetings held
TimeframeOct – Dec
Budget£5,000
TeamJess (AE), Sam (SDR)
AllowedDraft and queue; a person approves
Progress
9 weeks left7 of 20 meetings
01 · Strategy
Tell it what you’re going for
Set the goal, the timeframe, the budget and the team. Decide what the system may do on its own and what waits for a person. Every play that follows is judged against this goal, not against opens and clicks.
Get a demoPlay · hiring SDRs
When: hiring SDRsWho: Head of SalesSay: pipeline this quarterCost: £40 an account
Forecast · written before the first send
We expect
6–10 meetings
Proves it wrong
Fewer than 3
Per 100 accounts, over 6 weeks
12 sends waiting for JessApprove
02 · Plays
Every play is a bet, written down first
A play pairs a signal with a person, a message and a cost. Before the first send it records what it expects and the number that would prove it wrong. Sends go out through your stack, approved by your team or within the limits you set.
Get a demoMeetings per 100 accounts
ExampleReached by the play8
Similar accounts, left alone2
What the play caused
Scale+6 meetings per 100 accounts
Likely range +3 to +9 · inside the forecast of 6–10
03 · Results
See what the play caused, not just what happened
Each play is compared with similar accounts it didn’t touch. Pipeline that would have come anyway doesn’t count as a win, so you see the real lift, with a range, and a verdict: scale, keep testing or stop.
Get a demoLift by week
Hiring SDRsScale
Complained about a rivalKeep testing
Engaged with AI SDR postsStop
Suggested · waiting for approval
Move £1,200 from AI SDR posts to hiring SDRs
Everyone found the same posts. The lift has fallen for four weeks.
04 · Learn
Move budget before a play wears out
Every channel gets crowded once everyone finds it. The system watches each play’s lift over time, retires the ones that stop working and moves budget to the ones that still do. Forecasts get sharper with every run.
Get a demoFree 30-minute call
Run go-to-market like a portfolio, not a guess
We set your first strategy with you, write the first plays and their forecasts, and show you how you'll know which ones worked.
Book a call