Mary builds your pipeline now. Not just manages it.
Hand her a brief and Mary writes the copy, builds the creative, ships the campaign, and works every lead to qualified opportunity. One AI agent running your whole demand engine — we call it Pipeline on Demand.
Trusted by marketing ops, demand gen, and marketing leadership
“allGood is the best. They really do everything so well. 120% improvement. I am a real customer, not AI. Seriously guys, this isn't AI.”
Rich Copenhagen
Sr. Director Business Operations
“Mary took our enrichment rate from 40% to 80% and cut list processing time from over an hour to under 15 minutes. 84% of our records are now fully enriched and ready to route — pipeline starts with clean data, and we finally have it.”
Kristine Boulay-Phaneuf
Marketing Operations Campaign Manager
“We've run over 22 campaigns with Mary. She's generated over 1,000 MQLs, $1 million in pipeline, and more than 150 meeting bookings, while reducing email build times by 40%.”
Senior Manager, Global Engagement Marketing
Global Tech Company
75–95%
of inbound leads never make it to pipeline.
Pipeline breaks in two places. Mary owns both.
First, you can’t create enough demand. Every campaign is a supply chain of copywriters, designers, and ops — so a campaign manager ships 3–5 programs at a time when you need 20+.
Second, the demand you do create leaks. Most inbound dies in the handoff — lost between 6 tools, 7 people, and 3 days of delays.
6+
Tools
7
People
3 days
Time elapsed
Mary owns the whole engine. Generate to qualified.
Every lead in your funnel — and the campaigns that create them — generated, worked, and routed automatically, in minutes, not days.
Mary makes the demand.
From a brief, Mary writes the copy in your brand voice, builds the creative from your design system and Marketo modules, and launches across your channels.
Mary owns pipeline from campaign creation to qualified opportunity. Here’s what she did last month.
“Process the 4,200 leads from our webinar.”
4,200 imported, screened, enriched. 1,847 ICP matches enrolled within 6 hours.
“Our event in Tokyo ended at 11pm local time.”
312 processed overnight. 23 qualified opportunities routed to APAC reps by morning.
“Figure out which of these 8,000 leads are worth talking to.”
8,000 screened. 2,100 junk filtered. 3,400 enriched. 1,200 ICP matches prioritized.
“Our data is a mess.”
6,200 records enriched across providers. 50–75% better match rates than rule-based tools.
“We need a follow-up nurture for the webinar series.”
7-touch sequence built and launched in Marketo. 15 minutes from brief to live.
“We have replies piling up from the last three campaigns.”
13,567 replies categorized in real time. 12 high-intent routed. 1,234 spam filtered. 2,847 OOO logged.
“Sales says they don't trust the leads we're sending.”
Every lead routed with full context and plain-English rationale.
“Can Mary route enterprise vs. mid-market differently?”
Custom routing, subsidiaries matched to parents, every decision explained.
“We're running the same nurture we built two years ago.”
6 new programs designed and deployed simultaneously. Conversion rate up 167%.
Mary is an AI marketing agent & marketing automation.
Mary uses
Mary replaces
New Hire vs Agency vs Mary
| New Hire | Agency | Mary | |
|---|---|---|---|
| Starts in | 90 days | 2–4 weeks | 48 hours |
| Cost | $150–$200K/yr + benefits | $10–$30K/month retainer | Pay per job |
| Hours | 40 hrs/week | Project-based | 168 hrs/week — 24×7×365 |
| Languages | 1 | 1–2 | 58 |
| Martech | Yours | Yours | Yours + Hers |
What is an AI pipeline manager?
An autonomous marketing system that handles the work behind B2B pipeline — generating campaigns, enriching leads, routing them to the right rep, and working replies. Unlike rules-based automation, it reasons about each lead and campaign individually. Mary by allGood is an AI pipeline manager built for B2B marketing teams.
What is an AI marketing agent?
Software that does the work of a marketing employee, not just sends emails on a schedule. Mary takes a brief and builds the campaign — copy, creative, and all — cleans a lead list, routes by fit, and handles replies.
How is AI used in B2B pipeline generation?
To generate campaigns from a brief, enrich lead data, score ICP fit, match leads to accounts, route inbounds in seconds, and handle replies. The shift is from rules-based automation to reasoning — every lead and campaign gets individual judgment.
What’s the difference between an AI marketing agent and marketing automation?
Automation executes pre-built workflows — if X, then send Y. An AI marketing agent reads the situation, decides what to do, and does it. Mary sits on top of your automation and handles the judgment work: generation, lead quality, routing, and engagement.
Who is Mary by allGood?
The AI agent built by allGood for B2B marketing teams. She generates campaigns from briefs, enriches leads, nurtures them, and routes inbounds to the right rep — inside your existing Marketo, HubSpot, or Salesforce stack.
You’ve already committed to a pipeline number. Mary delivers it.
Start with one program. If it doesn’t generate pipeline in 30 days, walk away.
It will. That’s why we have 144% NRR — customers keep expanding because the math works.
Book a Demo →