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Target ICP + the outbound engine
We help EVERY type of business — enterprise & scaled DTC, growth-stage/mid-market, SMB & local, municipal/public sector, agencies/platforms (partners), and mission/nonprofits — anyone who touches consumer data or runs campaigns and wants measured results over theater. The wedges (SIE · Performance · the Lab) are the high-intent entry points; the TIERED OFFER LADDER (T0 open/free → T4 enterprise) × the ENGAGEMENT MODEL (do-it-yourself · advisory/thought-leader · done-for-you) means there is an offer for everyone, at every budget + involvement level, at all times. San Antonio rooted (the SA–ATX corridor), sold globally — the brand and ICP are not geo-limited. How we serve everyone profitably: we TIER BY AUTOMATION (productized/self-serve for SMB → semi-bespoke for mid → bespoke for enterprise) — the same machine, more or less human per tier.
Compliance-exposed consumer brands
WhoDTC / ecommerce, health & wellness, real estate, financial services (any brand with CA/EU customers — privacy law follows the customer, not the HQ)
PainCCPA / Delete Act / GPC / ~20-state-patchwork / GDPR exposure with no affordable consent infrastructure
TriggerA privacy notice, a data-rights request, or a CA enforcement headline
MessageConsent infrastructure priced for you — SIE turns a compliance forcing-function into first-party intent you own
WedgeSIE (app.siedata.dev)
Target titlesFounder/CEO · Head of Marketing · Head of Growth · Ops/Compliance lead
Growth-stage brands with broken attribution
WhoBrands spending on paid with post-cookie measurement gaps
PainSpend they cannot tie to revenue; walled gardens grading their own homework
TriggerA quarter of flat ROAS, a cookie-deprecation scramble, an agency that over-promised
MessageTie every dollar to a result — the measurable stack, minus the hype
WedgePerformance pillar + the content machine
Target titlesHead of Marketing · Head of Growth · Founder
Neutral-builder partners
WhoAgencies, platforms, and Texas + national operators wanting range without an in-house build
PainNeed a builder with creative + data + dev range and no ad-business conflict
TriggerA client ask outside their lane; a platform integration need
MessageA neutral builder with range — we run it in public, on ourselves, first
WedgeThe Lab (temerarii.xyz) + the 8 pillars
Target titlesAgency owner · Partnerships lead · Platform BD
Enterprise / scaled DTC + retail
WhoLarge e-commerce + retail brands at scale (the Grunt Style-type — Dom drove 35% YoY there)
PainCompliance + attribution + creative volume across many channels; expensive tooling + slow agencies
TriggerA privacy mandate, an attribution overhaul, a creative-throughput crunch, a platform migration
MessageEnterprise range without the enterprise drag — SIE + custom dev + the content machine, run on ourselves first
WedgeSIE + custom dev/apps + full GTM
Target titlesVP Marketing · Head of Growth/RevOps · Director of Ecommerce · CMO
SMB / local businesses
WhoRetail · food/bev · service · local shops (the seasonal-promo audience — incl. the SA–ATX corridor)
PainNeed timely campaigns + presence but priced out of agencies; no time to DIY well
TriggerAn upcoming holiday/season, a slow month, a competitor out-marketing them
MessageRun-ahead seasonal campaigns + a self-serve machine + a free consult — agency-grade, SMB-priced
WedgeSeasonal campaign builds + SlotSlot (self-serve) + the Academy + a starter package
Target titlesOwner/operator · Marketing manager · GM
Municipal / public sector
WhoCity initiatives, civic programs, public-awareness campaigns (Dom's municipal-initiatives experience)
PainPublic-awareness reach + reporting under procurement + accessibility + transparency constraints
TriggerA program launch, a public-awareness mandate, a grant/initiative timeline
MessageCivic campaigns that are measurable + accessible + transparent — built by an operator who's done public work
WedgeFull GTM + content machine (procurement-aware) + reporting
Target titlesProgram director · Comms/PIO · Initiative lead
Mission / nonprofits (CSR)
WhoNonprofits + mission-driven orgs + the CSR arms of brands (ties to Community Incubator)
PainBig mission, thin budget + team; need reach + donor/awareness campaigns without enterprise cost
TriggerGiving Tuesday / a campaign push / a grant cycle / a CSR initiative
MessageMission reach on a nonprofit budget — give-it-away tools + the Academy + cause campaigns
WedgeSelf-serve + the Academy + cause-campaign builds (discounted/pro-bono lane)
Target titlesED · Development/Comms lead · Program manager
Exactly which companies + the signal we scrape
| Vertical | Buying signal we scrape for | Why | Built for |
|---|
| DTC / ecommerce | Shopify/again-commerce stack · Meta/Google ads live · a privacy-policy page · CA/EU shoppers | collect consumer PII + run paid → both consent-exposed AND attribution-broken | SIE + Performance |
| Health & wellness / med-adjacent | intake forms · HIPAA-adjacent language · a data-rights/opt-out link | high-sensitivity consumer data, heavy compliance pressure | SIE |
| Real estate / brokerages | IDX/lead forms · CRM in use · local paid spend | lead-heavy, local, relationship-driven — our San Antonio anchor + Performance fit | Performance + content machine |
| Financial services / fintech (mid-market) | consent banners · GLBA/CCPA exposure · paid acquisition | regulated, attribution-starved, can't afford enterprise clean rooms | SIE + Performance |
| Agencies / platforms / Texas + national operators | client work outside their lane · integration needs · no in-house build team | want creative+data+dev range without an ad-business conflict — the neutral-builder partner lane | The Lab + the 8 pillars |
How we find them — scrape → enrich → score
Outbound offer: A first-outcome conversation — one number to move, the path and the cost, no deck
Channels: LinkedIn (founder-led) · Email (declared-intent capture → sequence) · Texas (SA–ATX) events / workshops · Warm intros via Strategic Relations · Reddit / niche communities
Cadence: Outbound sequences keyed to the ICP segments; every touch points to a receipt (the Lab, a case study, a run on ourselves)
Proof-first: Lead with the machine run on Temerarii itself — receipts over rhetoric
How we find + qualify the list: Define ICP → scrape candidates → detect the consent/attribution signal → enrich → Claude scores fit + personalizes → send → UTM→GA4 attribution. Human-in-the-loop at the decision point.
| Stage | Tools | What it does |
|---|
| Source / scrape | Apify (store scrapers: Shopify/store directories, LinkedIn company + people, Google Maps for local SA/real-estate, niche directories) · reddit-scraper · Google News | build the raw candidate list per vertical |
| Signal detection | Apify + Playwright (site crawl) · custom checks | flag the buying signal — a privacy-policy/consent banner, a data-rights link, live Meta/Google ad pixels, intake/lead forms, CA/EU shoppers |
| Enrich / research | Perplexity · Tavily · Exa (semantic) · Apify firmographic actors | append firmographics + intent + a context paragraph per account |
| Score + personalize | Claude (reasoning) over the enriched row | score ICP fit 0–100, pick the segment, draft the personalized first-line tied to the account's real signal |
| Store | Airtable (the custom CRM) via MCP | the system of record — synced across email/outbound/calendar; client owns the data + IP |
| Send + attribute | Resend (email) · LinkedIn (founder-led) · UTM (engine/lib/utm.py) → GA4 | sequence the touch, tag every link, tie the reply to the source |
Ethics — Public / consented business data only · honor ToS + robots · no PII harvesting or surveillance · the same consent posture SIE sells