Dayuse writes individualized repeat-booking emails in 30 countries with BrazeAI Agent Console agents

L3 · Conditional Verified · Production Travel Marketing

Day-use hotel booking platform Dayuse has a three-person CRM team that puts BrazeAI Agent Console agent steps inside Braze Canvas journeys; each step writes copy for one user from their wish-listed hotels, booking count, property type and preferred language. Moving from a ChatGPT webhook to Agent Console gave a further 23% uplift on the repeat campaign; the earlier LLM-written wishlist campaign had doubled incremental revenue vs. a control group (reported by Braze)

Problem

Repeat and abandoned-cart emails used the same copy for everyone, and hand-writing personalized versions across many languages and booking histories was not feasible for a small CRM team (reported by Braze)

Workflow

  1. User triggers a journey (wish-listed hotel without booking, or no second booking after a set time)
  2. Agent step in the Braze Canvas receives that user's data (saved hotels, booking count, property type, last stay, language)
  3. Agent writes individualized subject and body copy in the user's preferred language
  4. CRM team inspects agent output in Braze; messages send within the journey and are measured against control groups

Human-in-the-loop: The CRM team designs the journeys and prompts and can inspect what the agent produces; individual messages then send without per-message approval.

Tools & stack

Tools

  • BrazeAI Agent Console
  • Braze Canvas

Integrations

  • Dayuse booking and wishlist data in Braze

Frameworks

None listed

Prerequisites

  • Braze Canvas journeys and clean user/booking attributes
  • Language preference data
  • Control groups for measurement

Risks & limitations

Risks

  • Hallucinated hotel details or offers in sent emails
  • Tone errors in less-reviewed languages

Limitations

  • Vendor-published; the 2x result predates Agent Console (ChatGPT webhook)
  • The 90% conversion headline has no stated baseline, period or attribution method
  • Second Braze Agent Console record in the index (ConsumerAffairs is the other)

Outcomes & evidence

Reported outcomes

  • Additional 23% uplift on the repeat campaign after moving from a ChatGPT webhook to Agent Console
    Reported by Braze · Source (braze.com)
  • LLM-personalized "favorite" (wishlist) campaign doubled incremental revenue vs. control; this was first achieved on the earlier ChatGPT webhook setup
    Reported by Braze · Source (braze.com)
  • 90% increase in overall booking conversion rate, headline figure without stated baseline or period
    Reported by Braze · Source (braze.com)

Evidence

Vendors & implementers

Review history

Last reviewed by Research Chief (agent).

  • : Added in batch-13; source fetched 2026-10-16 and key figures confirmed in page text; figures attributed.

More marketing use cases

Marketing

260 Sample Sale Loomi marketing agent for weekly Last Chance targeting (Bloomreach)

260 Sample Sale has Bloomreach's Loomi marketing agent rescan its 900K+ contacts for each week's sale theme and build the "Last Chance" send list, shrinking it from 800K+ recipients to 36K high-intent shoppers; conversion rose 2.4x, from 1.44% to 3.45% (reported by Bloomreach)

L3 · Conditional Verified · Production

Retail — Marketing

Marketing

360 MMS compliant multi-brand campaign building with Agentforce Marketing

Australian non-bank lender 360 MMS runs marketing for four brands on Agentforce Marketing, with pre-approved brand templates that carry Spam Act and credit-licensing disclosures into every send; campaign build time fell from up to four hours to 15 minutes (reported by Salesforce / 360 MMS)

L2 · Supervised Verified · Production

Financial Services — Marketing

Marketing

7-Eleven multi-agent creative assistant

LangGraph multi-agent system on Databricks generates campaign concepts and copy in brand voice.

L2 · Supervised Verified · Production

Retail — Marketing

Marketing

Adore Me's merchandising and copy teams built WRITER agents that rewrite product descriptions to each marketplace's rules, batch-localized 2,900 descriptions for its Mexico launch and draft stylist notes

Adore Me, a roughly 500-person intimate-apparel retailer, uses WRITER AI Studio, with a non-engineer 'prompt coordinator' role, to build content agents. A marketplace agent takes a product ID, writes descriptions that meet each channel's rules (Macy's, Target, Walmart, Amazon, Victoria's Secret) and can publish to the Adore Me site. For Adore Me Mexico, a prompt coordinator, a merchandiser and a native speaker built a two-step translate-then-localize prompt and ran 2,900 product descriptions as a batch through the API. Earlier agents write SEO product descriptions and draft the 400-500-word notes stylists write more than 1,000 times a day for its Dailylook try-on service. Reported results: the marketplace process went from 20 hours a month to 20 minutes, the Mexico content took ten days instead of an estimated months, stylist note-writing time fell 36%, and non-branded search rose 40% (reported by WRITER, citing Adore Me's SVP of Strategy; self-reported, 2024 interview)

L2 · Supervised Verified · Production

E-commerce — Marketing

Marketing

AG1 runs affiliate-creator recruiting across 40 Gmail inboxes with Cheerful's AI reply and routing agent

AG1 used Cheerful for an affiliate recruiting campaign: 20,521 creators contacted across 40 Gmail inboxes, about 2,460 replies handled with AI-drafted, context-aware responses ready for one-click send (tuned by 80 custom AG1 rules) in multiple languages, 261 FAQs answered automatically, 123 paid requests redirected to the affiliate program, 45 edge cases escalated, and 2,030 creator opt-ins written to Google Sheets over about seven weeks. Cheerful projects a 24x ROI ($36k value on about $1.5k spend) and estimates about 90% of the workload removed (reported by Cheerful; projections, campaign still active)

L2 · Supervised Verified · Production

Consumer Health — Marketing

Marketing

Algolia's marketing team builds a pricing-page A/B test with Amplitude's Website Conversion Agent instead of waiting for developers

Algolia's website optimization manager needed a pricing-page A/B test that required custom JavaScript, CSS and HTML, which could have taken months through a busy dev team. She described it to Amplitude's Website Conversion Agent, which built several working variants, iterated with her on look and function, and configured a two-variant experiment ready to launch within hours. The test drove a 15% increase in its target metric and an estimated six-figure pipeline impact (reported by Amplitude; one experiment, pipeline impact is an estimate)

L2 · Supervised Verified · Production

SaaS — Marketing

See all AI agent use cases for marketing

Newsletter

Get new agent use cases in your inbox

A short roundup of newly added and newly verified use cases. Unsubscribe any time.

By subscribing you agree to receive our newsletter by email. We'll send a confirmation link first. We store your email address and signup date only to send it, and you can unsubscribe at any time. See our privacy policy.