Yes. Each case study and tier carries a motion tag in postmeta: bottoms-up self-serve, hybrid PLG plus sales-assist, or PLG plus enterprise tier. When a prospect describes their motion the bot filters to the relevant playbooks and case studies. The vocabulary of activation versus the AE-led upgrade conversation sits in separate buckets.

Case studies are tagged with starting free-to-paid conversion, activation rate, and ARR band in postmeta. The bot matches by closest starting metric first. A 2.8 percent free-to-paid ask returns a 2-4 percent starting case, not a 6 percent flagship logo. The realism of the match drives buyer trust faster than impressive but irrelevant examples.

Yes. Amplitude, Mixpanel, June, PostHog, Heap, and Segment all sit as stack variables. The bot reads the prospect's stack from chat and surfaces case studies that used similar tools. Implementation work differs meaningfully between Amplitude cohort analysis and Mixpanel funnel inspection, and the bot acknowledges that in its recommendations.

Pricing and packaging consulting overlaps with PLG monetization. The bot reads your pricing engagement tier and explains whether it's bundled with monetization or sold separately. Most engagements treat pricing as part of monetization, but some PLG companies need a pure pricing reset, which the bot scopes as a Pricing Sprint tier.

Yes, and many Head of Growth buyers shop early specifically to build internal alignment. The bot quotes tier ranges so the prospect can bring a real budget number to their CEO conversation. Once internal alignment lands, they come back to book a scoping call already pre-sold on the engagement model.

Yes. Virality engagements sit as a separate tier or as an add-on to activation. The bot quotes the scope: viral loop design, referral program build, network-effect modeling, and the analytics instrumentation required to measure them. Most PLG companies need this only after activation is healthy, and the bot recommends sequencing accordingly.

Account-based PLG (where multiple users in the same company adopt the product) requires different motion design than pure user-based PLG. The bot reads your expansion engagement tier and explains the difference. Buyers serving prosumer markets get different recommendations than those serving mid-market or enterprise.

Yes. Each engagement tier may have specific partners. The bot routes activation-focused conversations to your activation lead, monetization to your monetization specialist, and so on. The AE handoff carries motion type, stack, starting metrics, and ARR band, so the next conversation opens already deep in the substance.