# Alibaba's SPAR agent lifts B2B sales conversion 15.8% in live test

> Original title: Great paper from Alibaba on self-evolving agents, with a live A/B test across 200,000+ merchants.

- Source: Elvis Saravia
- Published: 2026-11-03T15:03:02.000Z
- Bad Influence: https://badinfluence.news/items/iex1bx6ndxvzg7ct7eqesoxue
- Original: https://x.com/omarsar0/status/2117633659763339668

## Summary

Alibaba's SPAR, a self-evolving sales agent on the 1688 platform, raised conversion 15.8% and high-intent merchant growth 35.8% in a live A/B test across more than 200,000 merchants. SPAR learns without updating model weights, using per-merchant episodic memory and a shared playbook of testable selling strategies. Before changing the playbook, it attributes each lost deal to either a bad strategy or an outside factor, and domain experts rated its sales quality 4.62 out of 5, the highest of the methods tested.

## Post

Great paper from Alibaba on self-evolving agents, with a live A/B test across 200,000+ merchants.

(bookmark it)

This is another brilliant example of leveraging episodic memory with agents and the importance of attribution.

SPAR runs B2B sales outreach on Alibaba's 1688 platform. Conversion rose 15.8%, and high-intent merchant growth rose 35.8%.

The agent learns at two levels without updating weights. An inner loop keeps episodic memory for each merchant across sessions. An outer loop maintains a shared playbook of selling strategies, each written as a testable hypothesis.

The key step is attribution. Before changing the playbook, SPAR decides whether a lost deal came from a bad strategy or an outside factor, so a deal lost to outside factors doesn't change a strategy that works.

Domain experts rated it 4.62 out of 5 on sales quality, the highest of all methods tested.

If you are building agents that learn from production outcomes, it might be worth adding an attribution step before writing any lesson to memory.

https://arxiv.org/abs/2611.01695

Chat with Paper: https://academy.dair.ai/papers/spar-experience-driven-strategy-evolution-in-multi-session-b2b-sales-2611.01695

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