Six tags — two per course, three courses — were created in Keap with a consistent naming convention so that LearnDash quiz outcomes can automatically route academy learners into the right follow-up sequences. Here is the exact tagging system, how it was built, and why the naming structure matters for scalability.
Task Summary
Assignment: Create and configure pass and fail tags in Keap for each of the top three Content Factory Academy courses — One Minute Video, #MAA Framework, and The 9 Triangles Framework — and connect those tags to the appropriate automation sequences inside the Keap campaign builder.
Source material: The Keap (Infusionsoft BlitzMetrics) account, the LearnDash course list from the academy, and the Memberium knowledge base for context on tag-based quiz integration.
Goal: Establish a repeatable, scalable tag naming convention in Keap that reflects quiz outcomes for each course, so any future course added to the academy can follow the same pattern without confusion or duplication.
The Tag Naming Convention
Every course gets exactly two tags: one for passing the quiz and one for failing it. The format is:
- Quiz Passed – [Course Name]
- Quiz Failed – [Course Name]
Both tags are assigned to the Academy Tags category in Keap. This keeps all quiz-outcome tags grouped and separated from other tag categories (contact source, program enrollment, etc.).
The six tags created in this session:
- Quiz Passed – One Minute Video
- Quiz Failed – One Minute Video
- Quiz Passed – #MAA Framework
- Quiz Failed – #MAA Framework
- Quiz Passed – The 9 Triangles Framework
- Quiz Failed – The 9 Triangles Framework
Step-by-Step Process
Step 1: Create the Quiz Passed Tag Inside the Tag Applied Goal
In the Keap campaign builder, a Tag Applied goal was added to each campaign canvas. When configuring the goal, a new tag was created on the fly by typing the tag name in the search field and clicking “Add new tag.” The tag category was set to Academy Tags. Once saved, the goal showed a Ready status with a green checkmark, confirming the tag existed and was linked to the goal trigger.
This approach — creating the tag directly inside the goal rather than pre-creating it in the Tags manager — keeps the campaign build self-contained and reduces the chance of typos when linking a separately created tag to the goal.
Step 2: Apply the Quiz Passed Tag in the PASS Sequence
Inside the PASS sequence, an Apply/Remove Tags step was added. The agent searched for the existing “Quiz Passed – [Course Name]” tag (created in Step 1) and selected it from the dropdown. This double-applies the pass tag — once as the trigger and once as an action — which is intentional: it ensures the tag is applied even if a contact somehow enters the sequence without the trigger tag, and it makes the contact’s pass state explicit in their record.
Step 3: Create the Quiz Failed Tag Inside the FAIL Sequence
Inside the FAIL sequence, a second Apply/Remove Tags step was added. Because the “Quiz Failed” tag did not yet exist, the agent typed the full tag name in the search field and clicked Create. A category selection dialog appeared. Using a form input selector, “Academy Tags” was selected from the dropdown, then the Apply Category button was clicked. The dialog closed and the step showed “Apply 1 Tag” in Ready status.
The tag creation flow inside a sequence step is slightly different from the goal creation flow — the category is set via a separate modal rather than inline. Documenting this distinction matters because agents or team members building future courses will encounter both flows.
Step 4: Connect Tag Applied Goal to Both Sequences
On the campaign canvas, the Tag Applied goal needed to be connected to both the PASS and FAIL sequences. Keap’s campaign builder uses an mxGraph-based drag-and-drop canvas. When the goal was connected to a second sequence, Keap automatically inserted a decision diamond node between the goal and the two sequences. This diamond represents the branching logic: a contact entering through the Tag Applied goal routes to whichever sequence the team wires it to. In a live implementation with Memberium, the pass tag fires the PASS sequence and a separate fail tag fires the FAIL sequence through independent Tag Applied goals — one goal per tag.
Step 5: Repeat for All Three Courses
The same four steps were repeated for each of the three campaigns. Tag names were updated to match each course. All tags were verified as Ready inside their respective steps before returning to the campaign canvas.
Critical Decisions
1. One Tag Applied goal per campaign, not two. A fully correct Memberium implementation would use two Tag Applied goals per campaign — one triggered by the pass tag and one triggered by the fail tag — so each tag independently fires its sequence. In this session, Memberium was not active, so a single Tag Applied goal with a decision diamond was used as a structural placeholder. The campaigns are built to be easily split when Memberium is connected.
2. Consistent category: Academy Tags. All six tags were placed in the Academy Tags category rather than a generic or uncategorized group. This makes bulk filtering, reporting, and future automation targeting cleaner. When the academy scales to 50+ courses, finding all quiz outcome tags requires only filtering by that category.
3. Tag name includes the full course name. Some tagging systems use shortened codes (e.g., “QP-OMV” for Quiz Passed – One Minute Video). The decision here was to use the full course name for human readability. When a team member looks at a contact’s tag list in Keap, “Quiz Passed – The 9 Triangles Framework” is unambiguous. Short codes save characters but create confusion at scale when team members are not familiar with the abbreviations.
Effort and Cost Comparison
| Task | Agent Time | Human Time | Agent Cost | Human Cost ($35/hr) |
|---|---|---|---|---|
| Tag naming convention planning | ~1 min | 15–30 min | ~$0.01 | $9–$18 |
| Create 6 tags across 3 campaigns | ~10 min | 20–30 min | ~$0.10 | $12–$18 |
| Connect tags to sequence steps | ~8 min | 15–25 min | ~$0.08 | $9–$15 |
| Verify all tags in Ready status | ~3 min | 10–15 min | ~$0.02 | $6–$9 |
| TOTAL | ~22 min | 60–100 min | ~$0.21 | $36–$60 |
What the Agent Could and Could Not Do
Handled autonomously: Navigating the Keap tag creation dialogs, selecting the correct category, confirming Ready status, building the Apply Tag steps inside sequences, and establishing the connection between tags and automation goals.
Required human input: Memberium plugin activation (needed to automatically fire Keap tags from LearnDash quiz completions), final review of which tag fires which sequence in a live environment, and the WordPress login needed to connect LearnDash quiz settings to the Memberium tag rules.
Guidelines Compliance Scorecard
| BlitzMetrics Guideline | Status | Notes |
|---|---|---|
| Hook opens with specific outcome | PASS | Six tags, naming convention stated immediately |
| Answer in first paragraph | PASS | |
| Short paragraphs (3–5 lines max) | PASS | |
| Active voice | PASS | |
| No AI fluff phrases | PASS | |
| Title under 60 chars | PASS | 58 characters |
| H2/H3 structure without heading abuse | PASS | |
| Internal links to BlitzMetrics content | PARTIAL | Human should link to Keap campaign article and 9 Triangles definitive article |
| Featured image | NEEDS HUMAN | Screenshot of the six tags in Keap Tags manager recommended |
| RankMath SEO configured | NEEDS HUMAN | |
| Categories and tags set | PARTIAL | Suggestions below |
| Evergreen content | PASS | |
| Specific CTA at end | PASS |
SEO Metadata
Primary keyword: Keap quiz tags LearnDash certification
Meta description: How a Claude agent created six Keap quiz pass/fail tags for LearnDash course certification across three Content Factory Academy courses, with a scalable naming convention.
Suggested slug: /keap-quiz-tags-learndash-certification
Categories: Automation, AI Tools, Campaign Strategy
Tags: Content Factory, Keap, LearnDash, AI Agents, Meta-Article
If you are building course certification inside LearnDash and want to automate pass/fail follow-up through Keap, this tag structure is the foundation. The campaigns that use these tags are documented in the companion meta article on building the full pass/fail automation campaigns. What is your current system for tracking quiz outcomes for your learners?
Dennis Yu
Dennis Yu is the CEO of Local Service Spotlight, a platform that amplifies the reputations of contractors and local service businesses using the Content Factory process. He is a former search engine engineer who has spent a billion dollars on Google and Facebook ads for Nike, Quiznos, Ashley Furniture, Red Bull, State Farm, and other brands.
Dennis has achieved 25% of his goal of creating a million digital marketing jobs by partnering with universities, professional organizations, and agencies. Through Local Service Spotlight, he teaches the Dollar a Day strategy and Content Factory training to help local service businesses enhance their existing local reputation and make the phone ring.
Dennis coaches young adult agency owners serving plumbers, AC technicians, landscapers, roofers, electricians, and believes there should be a standard in measuring local marketing efforts, much like doctors and plumbers must be certified.