This diagnostic checks four structural conditions that determine whether ALG will compound for you. The results engine cross-references your answers to produce a readiness profile, recommended entry path, and projected first-campaign performance.
ALG activates existing participation. The volume and frequency of completion moments determines how fast the loop can spin.
Real-world example
Salesforce runs 300+ events per year with thousands of certification completions per quarter - that's a participation layer generating continuous completion moments. A 50-person startup running one annual user conference has 1-2 moments per year. ALG still works, but the loop spins differently.
Companies with fewer than 50 completions/quarter can still run ALG, but expect campaign-based rather than always-on motion. Each campaign needs to work harder because there's no compounding between cohorts.
How many people completed a meaningful experience with your company in the last quarter?
How often do these completion moments happen?
2 of 4
02 / Network Density
Who are your participants connected to?
The advocate's network has to contain your next customers. The tighter the overlap between participant networks and buyer profiles, the faster the loop converts.
Real-world example
A cybersecurity certification holder's LinkedIn connections are 70% other security professionals - exactly who you sell to. A consumer brand's event attendees connect to college friends and family - strong network, but wrong overlap for B2B. Same advocacy effort, radically different conversion.
Low network-buyer overlap doesn't disqualify ALG - it means advocacy creates awareness, not pipeline. Strong overlap means advocacy signals convert 3-5x faster into qualified leads.
What role level are most of your participants?
How much do your participants' networks overlap with your buyer profile?
3 of 4
03 / Digital Surface
Where do your participants show up online?
Advocacy signals need a surface to land on. The platform mix affects reach, persistence, and whether AI engines pick up the signal.
Real-world example
HubSpot's user community is active on LinkedIn, Twitter, and their own forum - three surfaces for advocacy signals to land and compound. A manufacturing company's customers are active on zero public platforms. Their advocacy happens at trade shows and in private conversations - real but unmeasurable.
Companies with 0-1 active surfaces can run ALG through review sites and owned communities. Companies with 3+ surfaces see compounding effects as signals cross-pollinate across platforms.
Where are your participants most professionally active? Select all that apply.
What share of your participants have posted work-related content in the past month?
4 of 4
04 / Motive Alignment
What does sharing do for your participants?
The strongest advocacy doesn't need to be asked for - it needs to be worth doing. This section determines whether the value exchange is already present or needs to be designed.
Real-world example
AWS certification holders post their badges unprompted because the credential advances their career - sharing serves them. Nobody posts "Just finished my annual compliance training!" - no personal stake, no sharing motive. The difference isn't the content. It's who benefits from the share.
When sharing serves the participant's goals, activation rates hit 15-25%. When sharing only helps your brand, rates drop to 1-3% even with prompting. Motive alignment is the single strongest predictor of ALG success.
What do participants gain from being associated with your company? Select all that apply.
How often do participants voluntarily share about you - without being asked?