Feature · Twin

Your best customer
has twins.

Start from a won customer or your ideal customer. Twin turns it into a commercial fingerprint, compares the market, then separates similarity from the right moment to act — evidence shown.

Similarity— how closely the profile matches
Timing— whether a recent signal supports it
Evidence— what justifies every line
Create my first TwinSee pricing
Twin
Maison Rakusource customer · restaurant Lyon 2nd
Le Bistrot Augustesimilarity 91 · timing 74
Table du Rhônesimilarity 87 · timing 41
Café Mornaysimilarity 82 · timing 68
Brasserie Saint-Jean4 visible proofs
Comptoir des Hallesrecent signal · to review
Decisionyou approve before any action
Maison Rakusource customer · restaurant Lyon 2nd
Le Bistrot Augustesimilarity 91 · timing 74
Table du Rhônesimilarity 87 · timing 41
Café Mornaysimilarity 82 · timing 68
Brasserie Saint-Jean4 visible proofs
Comptoir des Hallesrecent signal · to review
Decisionyou approve before any action

Illustrative example · actual matches depend on the observable signals available

Why start
from a customer you already won.
You already know who you know how to sell to. Twin turns that intuition into comparable, verifiable criteria.
MR

Maison Raku

Restaurant · Lyon 2nd · site rebuilt

Offer sold

Website rebuild

Visible need

Fragile web journey

Size

Small team

Area

Dense city centre

Start from what already works.
Twin extracts what actually matters from the source customer: the offer sold, the visible needs, the size, the area, the signals that made the approach relevant. Two restaurants on the same street can have very different fingerprints.
↗A fingerprint, not an industry code
91Similarity
74Timing

Timing stays neutral when no recent signal is available.

Similarity and timing are two questions.
Similarity measures proximity to the fingerprint. Timing only indicates whether a recent signal makes outreach more relevant now. A very close profile is not necessarily ready — and the reverse is true too.
↗Two scores, never merged
B

Le Bistrot Auguste

Restaurant · Lyon 6th

9174
Detected problemMenu unreadable on mobile
SourcePublic website
ConfidenceHigh
To verifyBudget and internal priority
Every match shows its evidence.
The detected need, the observed signal, the source documenting it, the freshness, and the confidence level. What still needs checking is written plainly rather than hidden behind a round number.
↗No opaque score
Twin
Radar
CRM

Context follows the match, not the other way round

A Twin does not stop at the ranking.
Place a match under Radar to wait for a better moment, push it to the CRM with its context, or dismiss it. Your feedback refines the next Twins.
↗Twin, Radar, and CRM share the context
The ranking, line by line.
The source customer stays pinned at the top. Every candidate shows both scores and what justifies them.
app.sprintlead.io/twin/maison-raku
Twin — RankingFingerprint active

Source customer

Maison Raku

Restaurant · Lyon 2nd · site rebuilt

Fragile websiteLocal visibilityContactable
Business
Similarity
Timing
B

Le Bistrot Auguste

Restaurant · Lyon 6th

91
74
T

Table du Rhône

Restaurant · Lyon 7th

87
41
C

Café Mornay

Café · Villeurbanne

82
68
B

Brasserie Saint-Jean

Brasserie · Lyon 5th

78
55

Timing stays neutral when no recent signal is available.

A commercial fingerprint.
Not just an industry code.
01
The source customer’s fingerprint

Twin does not keep “restaurant in Lyon”. It keeps the set of observable characteristics that made this customer reachable — and that set becomes the reference.

Offer sold

Website rebuild

Visible need

Fragile web journey

Size

Small team

Area

Dense city centre

Reputation

Many rated reviews

Contact

Public email visible

02
Two dials, two readings

They are never averaged. You see which one carries the recommendation.

91Similarity
74Timing
03
Evidence and confidence

Every line of the ranking opens onto what supports it, with its source and freshness.

Detected problemMenu unreadable on mobile
SourcePublic website
ConfidenceHigh
To verifyBudget and internal priority
04
No source customer?

Describe your ideal customer: area, business type, and one to three observable needs. The fingerprint is built by hand.

Lyon · 20 kmRestaurantsFew reviewsNo booking
Fingerprint built manually
05
Your feedback refines the Twin

“Relevant” or “dismiss” on a match: the next ranking takes it into account.

Le Bistrot Auguste · 91 / 74

RelevantDismissUnder Radar
06
Twin, Radar, and CRM speak the same language

A match that is not ripe goes under Radar. A ready match goes to the CRM with its evidence. Nothing gets retyped.

Context follows the match, not the other way round
Twin
Radar
CRM
Three moves.
A market re-read through your best customers.
01
Step 01
Choose the starting point
A won customer from the CRM, or an ideal profile described by hand if you are starting out.
MR

Source customer

Maison Raku · Restaurant Lyon 2nd

From the CRM
Or a hand-built profile
Two possible entries
02
Step 02
Twin compares the market
Every business in the area is matched against the fingerprint. Both scores are computed separately.
92
68
84
Comparison
Similarity and timing kept apart
03
Step 03
You verify, then you decide
Open the evidence, keep what holds, send the rest under Radar. Your decision feeds the next Twin.

Le Bistrot Auguste

Twin → CRM

Human decision, context kept
Use cases
When Twin
really changes
the game.
Four situations where starting from a won customer saves weeks of guesswork.
  • The fingerprint reuses the offer sold and the visible needs of the won customer
  • The ranking shows what brings each candidate close to the model
  • You keep the trace of where every recommendation came from
  • Match volume is visible before you start prospecting
  • Similarity separates the addressable market from the rest
  • Timing indicates which ones deserve outreach now
  • Industry alone never triggers a recommendation
  • Observable signals carry the ranking
  • A business from another industry can surface if the fingerprint fits
  • Every line arrives with its reason for being there
  • Matches that are not ripe go under Radar
  • Moving to the CRM keeps evidence and context
Commercial fingerprint · human decision
You already know
who you know how to sell to.
Start from a won customer. Twin finds the businesses that resemble it — with the evidence that comes with them.
Create my first Twin
No credit card A Twin in 2 minutes