Named people you can legally reach—plus the exact note to win the gift. Now with a public‑signals psychological profile on each record.
Bank‑grade clarity. Everything you need to ask—and get—a gift.
Emails, SMS‑grade mobile, phone, address. Hygiene, HLR checks, dedupe, householding.
Prior gifts, issue affinity, capacity hints. Ranked by Affinity • Capacity • Immediacy.
Angle, first ask + ladder, best channel/time, ready‑to‑send copy (email/SMS/phone/door).
Behavioral facets inferred from public data (donor records, boards, public bios, open social). Drives messaging tone and ask style.
TCPA/10DLC grade, DNC/opt‑out flags, disclaimer token. Copy includes required language.
CSV/XLSX/Google Sheet; VAN/NationBuilder/PDI templates; ActBlue/WinRed links pre‑UTM’d.
Most lists are just rows. Useful for mail merges, but they don’t tell you how, when, or why someone will give.
Last Gift: $25 (2024-10-28)
jane@example.com • (413) 555-0123
Last Gift: $15 (2024-08-12)
john@example.com • (413) 555-0199
Not a list. A plan—person by person.
Frame: Local schools, class size impact. Lead with numbers, cite oversight.
Ask: $20.24 → $35 → $9/mo (monthly framed as steady classroom support).
Best move: SMS first; follow with email that breaks down $ → outcome.
Fallback: Volunteer shift → yard sign. Do not use outrage tone.
Hi J—, it’s NAME. Quick note: $20.24 today keeps class sizes down in Springfield—every $10 covers ~2 hours of supplies. Can you chip in? LINK Txt STOP to opt out.
A) A small gift that keeps class sizes down
B) Where $20.24 goes in our schools
Hi J—, NAME with {Campaign}. We’re funding classroom basics; $20.24 today covers supplies this week. We report totals publicly each Friday. Can we count you in?
We’re neighbors working to keep classes reasonable. Most folks chip in ~$20. Would you consider $20.24 today? QR takes you to the secure page.
first_name, last_nameaddress.city, address.state, address.zipemails[].address, emails[].validphones[].number, phones[].type, phones[].sms_opt_in, phones[].validdonor_history.last_date, last_amount, twelve_month_total, countissues[], capacity_bandscores.affinity, scores.capacity, scores.immediacy, scores.compliance_riskchannel_fit.email/sms/phone/doorpsy.analytical, psy.community, psy.achievement, psy.security, psy.novelty (0–100)psy.tone_pref[], psy.trust_triggers[], psy.objection[]psy.confidence (0–1), psy.sources[]ask_strategy.frame, first_ask, ladder[], best_time[], fallbackcopy.subject[], copy.email_open, copy.sms, copy.phone_script, copy.objection, copy.doorcompliance.tcpa_grade, dnc_flaglinks.donate_utm, ops.pledged, ops.do_not_contactperson_id (stable key)Profiles are predictions based on public signals; volunteers can override with real conversations. One‑click “profile wrong” feedback improves future drops.
Assemble ➜ Compliance merge ➜ Score ➜ Psych profile ➜ Write notes ➜ Deliver ➜ Refresh.
FEC/state, client files, petitions/RSVPs, vetted commercial appends. Hygiene, HLR checks, dedupe, householding.
Opt‑out/suppression, TCPA/10DLC grade per mobile, email deliverability checks.
Affinity • Capacity • Immediacy • Channel fit • Compliance risk.
Behavioral facets inferred from public bios, roles, open socials, giving patterns. Confidence score per record.
Frame, ask ladder, best channel/time, scripts tuned to the profile.
CSV/XLSX/Sheet/JSON, VAN/NationBuilder/PDI templates. Weekly hygiene; new profiles monthly.
Filter Immediacy ≥ 70 + SMS‑ready. Run the included 3‑touch ladder.
Test number‑led vs. community‑led subject lines on high‑Analytical vs. high‑Community segments.
Print walk cards (QR per address). Volunteers log pledge/DNC; profiles update.
Credits for invalids beyond threshold. VAN/NationBuilder templates provided.
Opt‑ins labeled. 10DLC registration + content review before first SMS. One‑tap STOP included.
Copy includes disclaimers and required language. Suppression files honored.
Disclaimers and memo fields tokenized. Exports align with treasurer workflows.
No scraped DMs. No ignoring DNC/opt‑outs. No autodial/robo‑text tricks.
Accuracy Guarantee: We provide credits for any invalid records beyond agreed-upon thresholds, ensuring you only pay for quality data.