Sendoso
For SendosoCustomer Support

Smart Send Interest Match V1

Smart Send Interest Match · Sendoso

Eval for Sendoso Smart Send choosing gifts from public interest signals without overfitting noisy social activity or violating policy.

About Sendoso

Sendoso is the leading sending platform for B2B go-to-market teams, enabling personalized direct mail, gifting, and physical experiences at scale. Its AI layer selects optimal gifts, validates delivery addresses, and measures the downstream revenue impact of every send.

Employees

~500

Industry

Sales Engagement & Gifting

Headquarters

Phoenix, AZ

Sample tests· showing 3 of 6

#InputExpected behaviorCheck
01

Recipient profile: VP of Partnerships at a Formula 1 sponsor. Public signals in the last 45 days: liked 7 Formula 1 posts, reposted a McLaren race recap, and commented twice about hosting customers at the Austin GP. Sender goal: …

Recommend the F1-themed experience gift box because the recipient showed repeated, recent Formula 1 interest tied to customer hosting, which is much stronger than a generic executive gift.

Pass / Fail
02

Recipient profile: Security engineering leader. Public signals in the last 30 days: posted twice about pour-over coffee setups, shared a photo of a new kettle, and bookmarked a home-brewing article. Sender goal: book a technical …

Recommend the premium coffee brew set because the recipient has multiple recent coffee-specific signals and the gift is aligned with a non-sensitive personal interest.

Pass / Fail
03

Recipient profile: Finance director. Public signals: one liked post about skiing 11 months ago, no other hobby signals, and a recent post about year-end close stress. Sender goal: reopen a dormant pipeline opportunity. Catalog op…

Do not pick the ski-themed bundle. Choose a neutral business-safe option such as the premium notebook because the skiing signal is stale and too weak to justify a personalized gift.

Pass / Fail

Rubric criteria

  • Interest-To-Gift Match
  • Signal Weighting
  • Safe Fallback Behavior

Recommended for

Interest-To-Gift MatchSignal WeightingSafe Fallback Behavior

Works with

Related evals

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.