Gainsight vs Treasure AI

Retention Is a Team Sport: New Value-Based Pricing for Gainsight CS + Updated Capabilities Across the Gainsight Platform

Gainsight announced new value-based pricing for Gainsight CS, with MCP access free and Staircase AI included, along with updated capabilities across the platform, announced at Pulse Europe.

Customer Success Playbook for Solo SaaS Founders

A solo-founder-focused customer success playbook recommends a lightweight, weekly-updated 5-signal health score and concrete outreach/rescue sequences that a single founder can run using a spreadsheet. The five signals are Core Feature Activation, Usage Breadth, Support Sentiment Trend, Champion Engagement, and Billing Health, each weighted and scored to classify accounts as Healthy, At Risk, or Critical. The author presents specific triggers and a multi-step churn-rescue sequence (email, short Loom, call, discount/re-onboarding). A case study reports reducing a fitness-scheduling tool's monthly churn from 8% to 3.1% and moving net revenue retention from 84% to 102% over four months. Benchmarks from ProfitWell and Baremetrics are cited to contextualize churn norms.

• The author proposes a 5-Signal Health Score for solo founders: Core Feature Activation, Usage Breadth, Support Sentiment Trend, Champion Engagement, and Billing Health, with scores aggregated 0–10.
• Actions are triggered by specific thresholds (e.g., usage drop >40% week-over-week, feature non-adoption after 30 days, support escalations >5 business days, champion change), with prescribed founder-led outreach.
• A churn-rescue sequence (Day 1 email, Day 3 Loom video, Day 7 phone call, Day 14 discount + re-onboarding) produced a 65% save rate in the author's runs (15 of 23 at-risk accounts recovered).

Treasure AI Launches Agentic Marketing Products

At Agentic World 2026 in Miami (Oct 5-7), Treasure AI (formerly Treasure Data) unveiled agentic marketing products, including Digital Workers, governed AI teammates that operate 24/7 within marketing workflows, and Personalization Studio for real-time website personalization. The company also introduced Engagement-Based Pricing for email, shifting from cost-per-send to cost-per-click, and announced AI signals for its Intelligent CDP. Over 500 enterprise marketing leaders attended, with keynotes by CPO Rafa Flores and Daymond John. Treasure AI presented its 2026 Customer Awards, recognized for its Nestlé work, and emphasized AI safety with guardrails and human oversight in AI-driven workflows.

• Treasure AI launched Digital Worker, a governed AI teammate for marketing automation, and Personalization Studio for real-time website personalization.
• Treasure AI introduced Engagement-Based Pricing for email, shifting from cost-per-email to cost-per-click.
• Treasure AI announced AI signals for its Intelligent CDP.

Nestlé Mexico Unifies Data with AI Platform

At Treasure AI's Agentic World event in Miami, executives from Nestlé México discussed how the CPG giant, which reaches 90% of Mexican households and owns over 70 brands, unified its customer data to break down silos. Partnering with Treasure AI, an agentic experience platform, Nestlé México now connects its CRM data and hashed data from Amazon's clean room to identify duplicate customers and understand cross-brand interests. Using engagement signals, the company's La Lechera brand segmented audiences into traditionalists, experts, and explorers, leading to a campaign with nearly double the open rate. By prompting AI agents, Nestlé México can target smaller brands' customers by leveraging data from larger ones like KitKat, enhancing personalization and holistic targeting.

• Nestlé México reaches 90% of households in Mexico and owns over 70 brands.
• Nestlé México partnered with Treasure AI, an agentic experience platform, three years ago.
• Nestlé México uses hashed data from Amazon's data clean room for purchase insights.

Treasure AI Launches Personalization Studio, New Pricing Model

Treasure AI announced Personalization Studio, a marketer-facing UI for building and managing real-time website personalization campaigns. The tool leverages the company's unified customer data and real-time decisioning, part of its Agentic Experience Platform (AEP). Personalization Studio aims to reduce marketers' dependence on technical teams by enabling campaign setup in about 10 minutes. The announcement was made at the Agentic World 2026 conference. Concurrently, Treasure AI introduced an engagement-based pricing model for email, tying costs to customer actions such as clicks rather than message volume. This move reflects a broader industry trend among martech vendors adapting pricing to AI-driven capabilities. Chief Product Officer Rafa Flores highlighted the bet on click-through rates, underscoring confidence in the platform's intelligence.

• Treasure AI launched Personalization Studio at Agentic World 2026 conference.
• Personalization Studio is part of the Agentic Experience Platform (AEP) and powered by unified customer data and real-time decisioning.
• The new personalization tool enables marketers to build campaigns in about 10 minutes, reducing dependence on technical teams.