feat(skills): add marketing skills collection

shared/skills/ads/references/abm-playbook.md

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+# ABM Playbook (Paid)
+
+Account-based marketing with ads: targeting named accounts on LinkedIn and Meta, accelerating open pipeline, and stitching channels together. ABM ads are a *pipeline influence* motion, not a lead-gen motion — measure accordingly.
+
+## Contents
+
+- When ABM (go/no-go)
+- LinkedIn ABM
+- ABM on Meta
+- Acceleration campaigns (ads against open pipeline)
+- Cross-channel orchestration
+- Cross-channel UTM remarketing
+- Sales orchestration
+- Measuring ABM
+
+## When ABM (go/no-go)
+
+Run paid ABM when: target account list ≥ ~1,000 companies (or you accept 1:1/1:few economics), deal size ~$25K+, sales cycle 60+ days, sales and marketing actually aligned on the list, and (for Meta) contact enrichment available.
+
+Skip it when: TAL under ~500 with no enrichment, no first-party data, budget under ~$3K/month, or a short transactional cycle — standard ICP targeting will outperform.
+
+## LinkedIn ABM
+
+Three motions, by list size:
+
+- **1:1** — add the company by name; fully personalized creative for one account.
+- **1:few** — up to ~10–20 accounts per campaign, shared pain/industry angle.
+- **1:many** — uploaded list (or native targeting), scaled creative.
+
+**List mechanics:**
+- LinkedIn needs **300 matched members minimum** to serve; aim for 1,000+ rows (duplicating company names to pad the upload is fine — it dedupes on match). Contact lists match best at scale (LinkedIn suggests ~10K emails); **company lists beat contact lists** for most teams — easier to source, better match rates, less maintenance.
+- Cold ABM audiences need ~15K members to deliver reliably.
+- **Segment mixed lists.** Left as one audience, LinkedIn over-serves the largest enterprises in the list — accounts have sat at 15% list coverage because the algorithm parked on a few big companies. Split into homogeneous bands (e.g., enterprise / mid-market / SMB) with separate campaigns and budgets.
+- List-based targeting typically buys reach materially cheaper than native firmographic targeting, with stronger decision-maker engagement.
+- Use the per-company engagement report (Audiences → click into the list) to find under-served priority accounts, then break them into a dedicated campaign.
+
+**Personalized 1:1 creative:** putting the target account's name/logo in the creative can lift CTR ~5–10× over generic ads. **Legal exception: do not run company-name/logo-personalized ads into Germany** — privacy law, not platform policy.
+
+**Frequency capping:** target ~3 impressions/person/week in priority accounts. Mechanic: build a company-engagement audience of accounts that crossed ~500 impressions in the last 7 days and add it as an *exclusion* — it self-rotates accounts out as they cool down. Tune the threshold (300 if fatigue shows, 750 for more pressure).
+
+## ABM on Meta
+
+Meta has no native company targeting — the play is **bring your own matched audience**:
+
+- **The match-rate problem:** raw CRM exports of work emails match under ~5% on Meta. Enrichment providers (identity-graph tools that resolve work identities to personal profiles — e.g., Primer, Metadata, ZoomInfo, Clearbit) raise matches to ~40–85%. Workflow: firmographic criteria → identity-graph match → upload as Custom Audience → target directly or seed a 1% lookalike.
+- **Minimum sizes:** account-list audiences ~1,000 companies (5–10K optimal); retargeting slices work down to ~100 accounts; lookalike seeds want 500+.
+- Advantage+ **conflicts with strict ABM** — it won't stay locked to your list. Run ABM campaigns manual (or hybrid: manual for the list, Advantage+ for the broad layer).
+- Meta's ABM role is cheap **air cover and multi-threading** (reaching the buying committee beyond your champion) while LinkedIn does precision — see the split below.
+
+## Acceleration campaigns (ads against open pipeline)
+
+Ads aimed at accounts already in your pipeline, to speed deals rather than source them:
+
+- Segment the CRM by stage (evaluation / proposal / negotiation), filter to deals worth the spend, upload as an audience, refresh weekly.
+- **Use an awareness/reach objective, not conversions** — you're keeping the vendor top-of-mind for the buying committee, not asking in-pipeline accounts to "book a demo" they already booked.
+- Creative: case studies, proof, objection-handlers — matched to stage. Budget scales with deal value (larger open deals justify $100–200/day of air cover; stalled deals get a maintenance dose).
+
+## Cross-channel orchestration
+
+Default split for B2B ABM: **~60% LinkedIn / ~30% Meta / ~10% other**. LinkedIn buys precision (right person, right company) at $40–70 CPMs; Meta buys presence and committee reach at $10–25. Sequence LinkedIn first to validate the audience, then extend to Meta. Multi-channel ABM consistently and materially outperforms single-channel on engagement and conversion — the channels compound, they don't compete.
+
+## Cross-channel UTM remarketing
+
+The cheapest high-quality audience you can build: retarget one platform's validated clickers on another platform.
+
+1. Tag all paid traffic with consistent UTMs (`utm_source=linkedin`, `utm_source=google&utm_medium=cpc`).
+2. On Meta, build a website Custom Audience with the rule **"URL contains `utm_source=linkedin`"** (or `utm_source=google`).
+3. Retarget that audience on Meta — LinkedIn-grade audience quality at Meta-grade CPMs (typically 50–70% cheaper reach).
+
+Works in both directions (search clickers → LinkedIn remarketing needs meaningful search volume — worth it above roughly $30K/month search spend). Requires enough source-channel traffic to clear minimum audience sizes. Use a consistent account/campaign token in UTMs so attribution survives the hop.
+
+## Sales orchestration
+
+ABM ads without sales follow-up is billboard spend:
+
+- Pipe ad-engagement signals to the CRM (LinkedIn company-engagement exports, or connectors that sync engagement per account) and treat an engagement spike as a sales trigger — **outreach within ~48 hours** of the spike.
+- Route new leads to a shared channel (Slack webhook) with a per-campaign quality reaction (👍/👎) — the cheapest lead-quality feedback loop that exists.
+- Hold a monthly sales-marketing session on the list itself: who's engaging, who's dark, who closed — and re-cut the list.
+- Expect ~7–10 cross-channel touches before a sales conversation is normal at ABM deal sizes.
+
+## Measuring ABM
+
+Judge ABM on account movement, not CPL:
+
+- **Account penetration** (% of list reached): target ~40–60%.
+- **Cost per engaged account** (not per click): ~$100–300 is a workable band.
+- **Account → opportunity rate:** ~10–20%.
+- **Pipeline influenced:** aim for 3–5× spend; expect win-rate and velocity improvements on engaged vs. non-engaged accounts.
+- **Incrementality:** hold out ~20% of the list from ads and compare pipeline formation after 21+ days — the only honest answer to "did the ads do anything?"
+
+---
+
+*Framework lineage: adapted (re-expressed and restructured) from practitioner playbooks, notably Ivan Falco's ads-skills. Thresholds are practitioner-reported starting points — recalibrate against your own accounts.*