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allGood Launches Pipeline on Demand

Jun 16, 2026

Ahmed DatooWritten byAhmed Datoo
Mary, allGood's AI marketing agent, generating a complete campaign from a single brief in under an hour

Until today, Mary managed pipeline. She enriched inbound leads, scored them against your ICP, and routed the right ones to the right reps inside the stacks of companies like Zendesk, Synopsys, and Bonterra. She was very good at it.

Starting today, she builds it.

Two things that are new

The first is capability. From a single campaign brief, Mary now writes the copy in your brand voice, designs and codes the email and ad layouts, selects or creates the imagery, and launches the campaign across email and LinkedIn — then optimizes it based on what's working. A job that previously required a copywriter, a designer, a Marketo specialist, and weeks of coordination now ships in under an hour.

The second is pricing. Mary is now priced against your revenue target — the number your CMO actually carries — not seats, database tiers, or feature packages. When your pipeline target grows, the price grows with it. When the business pulls back and the target comes down, the price comes down too. allGood is the first AI marketing vendor whose price is set by what the customer is accountable for, not by the software.

The broken default

Every CMO is under pressure to adopt AI. The conventional path is to build in-house: hire an AI GTM engineer (a role that barely existed two years ago and costs $200K+), evaluate a dozen point solutions, retrain the team, and stitch it all into the existing stack.

The buildout is slow, expensive, and uncertain. Teams that started twelve months ago are still building. Most will ship their first AI-built campaign sometime in 2027 — assuming the strategy survives the next budget review.

Pipeline on Demand is the alternative: the outcome without the buildout.

"Most companies don't need to build an AI GTM engineering function," said Ahmed Datoo, CEO and Co-Founder of allGood. "They need the outcome one would produce: campaigns shipped, pipeline generated, on-brand, inside their existing stack. That's what Pipeline on Demand is. Our customers are shipping campaigns next week. The companies still hiring engineers will ship them next year."

How Mary builds pipeline

Mary runs a continuous four-stage loop.

Generate. From brief to live campaign in under an hour — copy, design, imagery, and execution across email and LinkedIn. A demand gen leader hands Mary a brief ("create a webinar campaign targeting our ICP in financial services; it needs to generate 300 registrations") and within 60 minutes has a complete, on-brand campaign live across email and social.

Enrich. Every lead is scored against the company's ideal customer profile and enriched with firmographic and engagement data, so volume becomes intelligence.

Engage. Mary nurtures every lead, adjusting messaging, timing, and creative based on what the data says is working — and implementing those changes herself.

Route. Qualified leads are delivered to the right rep instantly, with full context: company fit, engagement history, and a plain-English explanation of why each lead was sent.

From there, Mary owns the loop through to sales handoff.

What Pipeline on Demand is not

It is not an agency. No outside team takes over your marketing. It is not another software license. There are no seats to buy or modules to configure.

Mary is an AI teammate who runs inside the systems a marketing team already owns — Marketo, Salesforce, LinkedIn — and is priced like the team you would otherwise hire: sized to the pipeline number she's responsible for.

Pipeline on Demand is available now.

Frequently Asked Questions
What is Pipeline on Demand?

Pipeline on Demand turns campaign execution into an on-demand utility. You provide the strategic judgment — campaigns, audiences, offers — and Mary handles end-to-end execution: writing copy, designing assets, launching campaigns, qualifying leads, and optimizing performance. It isn't an agency or a software license; Mary acts as an AI teammate priced against your pipeline target.

What is Mary actually doing?

You provide the brief and marketing strategy; Mary handles the rest. She writes copy in your brand voice, designs assets using your approved templates and DAM, builds programs in Marketo, and manages versioned, auditable workflows. Mary automates the production work that typically takes weeks, allowing you to focus on audience, offers, and funnel logic.

How does Mary actually speed things up?

Mary eliminates hand-off delays by consolidating PMM, copy, design, and campaign ops into one collaborative workflow. She avoids blank-canvas starts by adapting to your approved templates, voice guidelines, and DAM — significantly reducing rework loops and off-brand drafts.

How does pipeline-based pricing work?

Your price is based on your pipeline target, not seats, features, or database size. If your target changes, the price adjusts accordingly. There are no attribution audits or disputes over lead counting; Mary is accountable to the same revenue number your marketing team carries.

What if I don't want pipeline-based pricing?

You aren't locked in. Pipeline-based pricing is optional, and you can choose a per-campaign, work-based model instead. The goal is to align pricing with how CMOs are measured.

Does Mary replace my existing tools?

Mary integrates with Marketo without replacing it; your current programs and integrations remain intact. She replaces the fragmented layer of design intermediaries, writing tools, and manual asset management. Most customers see significant reductions in total tool spend within six months.

How is this different from using ChatGPT or Claude directly?

Using general LLMs requires complex engineering to ensure consistency and integrate with enterprise systems. allGood handles this engineering, providing a collaborative console where teams can iterate with automatic version control. Changes sync directly to Marketo without manual effort — solving the fragmentation and versioning issues common with standalone LLM usage.

How is Mary different from hiring an agency?

Unlike agencies, which are often costly and disconnected from your internal stack, Mary operates directly within your systems and delivers campaigns in minutes. She is priced against your pipeline target, enabling you to bring execution in-house without adding headcount.

How does Mary maintain brand consistency?

Mary uses your brand templates, voice guidelines, approved imagery, and compliance rules as built-in constraints from the start. Brand governance is an integral part of the process, not an afterthought — ensuring every asset remains on-brand.

Who on my team needs to be involved?

Anyone with marketing expertise can use Mary. No technical skills — Marketo, integrations, or prompt engineering — are required. Users only need to understand demand gen strategy: segments, offers, messaging, and funnel logic. Mary handles production.

How fast can I launch a campaign?

First-campaign launch usually takes within 30 days. After that, build times drop from weeks to 10–15 minutes. Speed improves over time as assets become reusable and versioned.

What kind of audit trail do I get?

Every asset change is logged, including the user, timestamp, previous version, and campaign association. This provides a clear audit trail for marketing ops, compliance, and legal teams.

What marketing automation platforms do you support?

At launch, allGood supports Marketo.

How do I get started?

Visit allgoodhq.com or contact your allGood representative. The fastest way to start is a single-campaign engagement — to experience the speed, governance, and pipeline impact firsthand.

Ready to hire Mary?

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