PulseAugur
EN
LIVE 14:12:49

FunnelCausalNet model optimizes coupon allocation for conversion and revenue

By PulseAugur Editorial · [2 sources] ·

Researchers have developed FunnelCausalNet, a novel uplift estimator designed to optimize coupon allocation by jointly considering conversion and revenue. The model couples a binary conversion head with a non-negative conditional-value head, addressing the zero-inflated and heavy-tailed nature of gross merchandise value (GMV). This approach, validated on semi-synthetic and industrial datasets, aims to improve return on investment by accounting for subsidy-aware ROI. AI

IMPACT This research could lead to more effective marketing strategies by improving the accuracy of predicting conversion and revenue uplift from coupon campaigns.

RANK_REASON The cluster contains an academic paper detailing a new model and methodology.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

FunnelCausalNet model optimizes coupon allocation for conversion and revenue

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
The cluster contains an academic paper detailing a new model and methodology.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
57 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Yu Zhang (AMap Alibaba Group, Beijing, China), Zhihan Wang (AMap Alibaba Group, Beijing, China), Guanlin Chen (AMap Alibaba Group, Beijing, China), Min Jiang (AMap Alibaba Group, Beijing, China), Shuai Li (AMap Alibaba Group, Beijing, China) ·

    FunnelCausalNet: Funnel-aware Joint Conversion-Revenue Uplift for Multi-tier Coupon Allocation

    arXiv:2608.11675v1 Announce Type: new Abstract: Coupon campaigns seek to lift both conversion and revenue, but gross merchandise value (GMV) follows a deterministic funnel from conversion to conditional order value and is zero-inflated and heavy-tailed. We propose FunnelCausalNet…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shuai Li ·

    FunnelCausalNet: Funnel-aware Joint Conversion-Revenue Uplift for Multi-tier Coupon Allocation

    Coupon campaigns seek to lift both conversion and revenue, but gross merchandise value (GMV) follows a deterministic funnel from conversion to conditional order value and is zero-inflated and heavy-tailed. We propose FunnelCausalNet, an uplift estimator coupling a binary conversi…

RELATED TOPICS