Two Anthropic marketing-ops staff moved manual work into Claude Cowork. A Sunday-evening scheduled task reads last week's review, the latest meeting transcript and Slack, queries the data warehouse and leaves draft metrics and suggested headlines; a proofreading skill checks every number against a verified source. For campaigns, an hourly dispatcher skill picks the most urgent Slack intake request and hands it to specialist skills that build the event across Salesforce, HubSpot, Swoogo and email tools, then a fresh audit agent submits a test registration before a human reviews it. The weekly report went from up to two days of work to up to two hours (vendor's own product; reported by Anthropic); event-build savings are not quantified
The weekly marketing metrics review took one to two days a week because metrics were split across dashboards, the warehouse, Slack and call transcripts, and every event had to be set up by hand across CRM, marketing automation and event platforms (reported by Anthropic)
Scheduled task (Sunday evening) gathers last week's review, meeting transcript, Slack context and warehouse data into a draft report folder
Analyst picks the narrative focus; Claude expands it, builds the leadership slide and turns follow-ups into Asana tasks
Proofreading skill checks every number in the draft against a verified source; mismatches are flagged to the analyst
Hourly dispatcher skill reads the intake Slack channel, stamps the most urgent request and routes it to a specialist skill (event build, webinar landing page, apply-to-attend, approval support, data import)
Event-build skill creates the CRM campaign, marketing-automation campaign, email drafts and landing page
Separate audit agent with no prior context test-registers on the live page, checks the confirmation email and marks the Asana task complete; the ops lead reviews before it ships
Human-in-the-loop: The analyst chooses the report narrative and reviews the draft; the campaign-ops lead reviews each event build before it ships and uses a separate "manager" agent to diagnose misfires.
A scheduled task runs every Sunday evening, prompting Claude to read the previous week's review and the latest meeting transcript, check Slack for what the sales team is focused on, query the warehouse, and leave a folder with the numbers and a few suggested focus areas.
The audit agent starts with no prior context, submits a test registration on the live landing page, opens the confirmation email in Gmail, and marks the Asana task complete if everything looks right.
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)
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)
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)
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)
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)