Marketing operations that run at the speed you plan them
Custom AI for the production line behind your campaigns — briefs to drafts, pre-launch QA, audience assembly, attribution plumbing and reporting that builds itself.
How it works
The bottleneck in most marketing teams isn't ideas, it's the assembly line between an idea and a live campaign: the brief, the draft, the twelve resizes, the UTM nobody checked, the report someone rebuilds by hand every Monday. We build AI into that line — connected to your CMS, ESP, ad platforms and warehouse — so content moves through a real pipeline with your brand rules enforced, campaigns get checked before they spend money, and the numbers arrive without a human copying them out of five dashboards.
A content pipeline, not a prompt box
Briefs turn into drafts, variants and channel-ready assets through a workflow with review gates and your style rules built in.
- Brand voice, banned phrases and claim rules enforced at generation time
- One source asset expanded into email, ad, social and landing variants
- Regulated claims and legal-review triggers flagged before a human reads it
- Approved drafts pushed straight into your CMS or ESP with metadata intact
Pre-flight QA that catches what humans miss at 6pm
Every campaign is checked against a machine-readable version of your launch checklist before it can go live.
- UTMs, tracking pixels, redirects and consent tags validated automatically
- Broken links, wrong price, stale offer dates and missing alt text caught
- Merge tags, segment logic and suppression lists tested against real records
- Render checks across major clients, with a hold on launch until QA passes
Attribution plumbing that stops contradicting itself
One modeled view of spend and pipeline in your warehouse, so ad platforms, CRM and finance finally agree on a number.
- Ad spend, web, CRM and product usage joined on a stable identity graph
- Multi-touch and incrementality views next to platform-reported numbers
- Anomaly alerts when a channel's cost per opportunity moves off baseline
- Board and exec reporting generated on a schedule with written commentary
Where teams use it
Built for real revenue work.
Localizing a campaign into nine markets
Instead of a six-week agency cycle, source assets are adapted per market with local claims rules, currency and legal disclaimers applied, then routed to in-market reviewers who approve rather than rewrite.
Audience building without a ticket to the data team
Marketers describe the segment they want in plain language and get a validated audience built from warehouse data, size-checked and synced to the ad platforms and ESP — with consent and suppression rules applied automatically.
Creative testing at a volume you can't staff
Generate and traffic disciplined variant sets, then let the system read performance daily, kill losers early and write up what actually differentiated the winner instead of leaving it in a spreadsheet.
“We were producing eleven pieces a month and rebuilding the same board deck by hand every quarter. The pipeline APPIT built took production to about fifty pieces without adding headcount, and the deck now writes its own first draft off the warehouse.”
FAQ
Questions, answered.
How is this different from the Leadify Marketing CRM?
The Leadify Marketing CRM is a product: campaigns, journeys, segmentation and email built into a platform you subscribe to. This page is custom engineering for teams staying on HubSpot, Marketo, Braze or Klaviyo who need the operational layer around those tools — a content pipeline with your brand rules, QA against your own checklist, or attribution joined in your warehouse. Buying the Marketing CRM is faster and cheaper if you're open to consolidating; building makes sense when the workflow is genuinely yours.
Isn't AI-generated content bad for SEO and brand?
Unreviewed volume is, and we don't build that. The pipelines we ship enforce a brief, ground claims in your own product and research material, and route everything through a named human approver before publish. The gain is in the middle of the process — research, outlining, variant production, formatting, repurposing — not in removing the editor. Teams that keep the review gate typically see quality hold while output multiplies.
Can it work with our existing martech stack?
That's the usual reason people call us. We integrate with HubSpot, Marketo, Salesforce Marketing Cloud, Braze, Klaviyo, the major ad platforms, Snowflake, BigQuery and Databricks, plus whatever internal systems hold your product and billing data. Where an API is missing we build the connector, and it ships as part of the fixed project cost rather than an add-on.
How do we know it's working?
We agree on the measurable before we quote: cycle time from brief to publish, campaigns launched per month, QA defects reaching production, hours spent on reporting. Those get instrumented into the build itself, so the dashboard showing the improvement is part of the delivery. Most marketing projects run 4-10 weeks, at a fixed cost, with the code and models handed to your team at the end.
Fix the assembly line, not the headcount
Walk us through one campaign launch end to end and we'll show you the three steps worth automating first.