Heartbeat.ai contact

Ben Argeband, Founder & CEO of Heartbeat.ai — Not marketing; pure trust and support.

Who this is for

Anyone needing support or reporting an issue. If you need to contact Heartbeat.ai support, want to report issue details (like the wrong person), or need opt-out help, use the routes below. If you are a candidate receiving outreach and want opt-out help, use the opt-out route in the CONTACT_BLOCK.

Quick Answer

Core Answer

Use the contact routes below to reach Heartbeat.ai support, request opt-out help, or report an issue like wrong-person data for review and correction.

Key Insight

Fast handling depends on identifiers: who, where you saw it, what is wrong, and what outcome you want (correction, suppression, or opt-out).

Best For

Anyone needing support or reporting an issue.

Compliance & Safety

This method is for legitimate recruiting outreach only. Always respect candidate privacy, opt-out requests, and local data laws. Heartbeat does not provide medical advice or legal counsel.

CONTACT_BLOCK (start here)

• Report a data issue (preferred intake): follow the instructions on our corrections and update policy page.
• Opt-out help or abuse report: use the same intake (linked above) and put Opt-out or Abuse report as the first line so it routes correctly.
• General support: use the same intake and label your request Support in the first line.
• Responsible use guidance: review data ethics and acceptable use.

Framework: The “Easy Escalation” Signal: responsible company behavior

When a company handles data and outreach responsibly, escalation is simple: clear routes, clear inputs, and a closed loop. That is the point of this page, so you can contact the right team, get opt-out help, or report issue details without getting bounced around.

For urgent recruiting workflows, Heartbeat.ai has ranked mobile numbers by answer probability to help teams prioritize outreach responsibly.

Step-by-step method

1) Choose the route (do not guess)

• General support: product, account, billing, workflow questions.
• Report a data issue: wrong person, incorrect role or organization, outdated contact point, duplicate record.
• Opt-out help: request suppression of a specific email or phone from future outreach where applicable.
• Abuse report: suspected misuse or inappropriate outreach that needs investigation.

2) Send the minimum viable details (copy/paste)

Include these fields

• Who: full name plus organization plus role or specialty (if relevant)
• Where: the exact page URL or source context where you saw the record
• What: the specific field and value that is wrong (quote it)
• Outcome: correction, suppression, or opt-out confirmation
• For outreach concerns: channel (email, call, text), timestamp (with timezone), and message header or body excerpt

This requires manual verification.

3) Send one request per outcome

If you need both a correction and an opt-out, send two separate requests. It prevents partial handling and reduces follow-up.

4) What you will receive

• Correction: the record is updated and you receive confirmation.
• Suppression or opt-out: the specified contact point is suppressed where applicable and you receive confirmation.
• Abuse report: the report is acknowledged and investigated; actions depend on findings.

Diagnostic Table:

Weighted Checklist:

Use this to send a complete request the first time. Score yourself out of 10 before you hit send.

• (3 points) Exact identifiers included (name plus organization plus role plus where you saw it)
• (2 points) Clear route label in the first line: Support, Report a data issue, Opt-out help, or Abuse report
• (2 points) Clear outcome: correction, suppression, or opt-out confirmation
• (2 points) Evidence included (quoted field and value, header excerpt, or screenshot text)
• (1 point) Best reply path and any time constraints

Interpretation: 9 to 10 equals fastest handling; 7 to 8 equals likely one follow-up; 6 or less equals expect back-and-forth.

Outreach Templates:

Template 1 — Report a data issue (wrong person)

Subject: Report issue: wrong person record

Body:

Hello Heartbeat.ai support team,

I am reporting a wrong-person issue. Please review the record below and correct or suppress it.

• Who (name plus organization plus role):
• Where I saw it (URL or source context):
• What is wrong (field and value):
• Requested outcome (correction or suppression):

Thank you,

[Your name] | [Best reply email]

Template 2 — Opt-out help

Subject: Opt-out request

Body:

Hello,

Please process an opt-out for the following contact point(s):

• Email(s):
• Phone number(s):

Please confirm when suppression is complete.

Thanks,

[Your name]

Template 3 — Abuse report

Subject: Abuse report

Body:

Hello,

I am submitting an abuse report related to outreach that appears inappropriate or unauthorized.

• Channel (email, call, text):
• Date and time (with timezone):
• From (if visible):
• Message header or body excerpt:
• Any relevant context:

Please confirm receipt and next steps.

[Your name]

Common pitfalls

• No where: if you do not include the exact URL or source context, the team cannot reliably find the record you mean.
• Multiple outcomes in one thread: correction plus opt-out plus support in one message slows triage. Split by outcome.
• Vague it is wrong: quote the exact field and value that is incorrect.
• Forwarding more personal data than needed: send only what is required to identify the record and validate the issue.

How to improve results

If you want faster resolution and fewer follow-ups, treat your message like a reproducible ticket: who, where, what, and outcome.

Measure this by… tracking (a) time-to-first-response and (b) number of follow-up questions required before action is taken. The goal is one complete request in, one confirmation out.

Measurement instructions

1. Create a simple log with columns: date sent, route used, completeness score (0 to 10), first response timestamp, resolution timestamp.
2. After several requests, compare average resolution time for completeness score 9 to 10 versus 6 to 8.
3. Use the Weighted Checklist to push more requests into the 9 to 10 range.

Legal and ethical use

Heartbeat.ai is intended for legitimate recruiting outreach and operational use. Respect privacy, honor opt-out requests promptly, and follow applicable data laws and platform policies. For practical guidance, review data ethics and acceptable use.

Evidence and trust notes

• Trust methodology (how we approach accuracy and verification)
• Corrections and update policy (how to request changes)
• Data ethics and acceptable use (what is allowed and what is not)

Footer note: If you are reporting an issue or requesting opt-out help, start with the corrections and update policy intake so your request is routed and tracked.

FAQs

What is the fastest way to contact Heartbeat.ai support?

Use the CONTACT_BLOCK and include who, where, what, and outcome. If you are unsure which route applies, start with the corrections and update policy intake and label your request Support.

How do I report an issue like wrong-person data?

Use the report a data issue route and include the incorrect field and value plus where you saw it (URL or source context). State whether you want correction or suppression.

Where do I get opt-out help?

Use the opt-out help route and provide the specific email or phone to suppress. Ask for confirmation when suppression is complete.

What should I include in an abuse report?

Include channel, timestamp (with timezone), and the message header or body excerpt. That is the minimum needed to investigate.

Can I ask questions about responsible outreach?

Yes. Start with data ethics and acceptable use, then send your scenario using the CONTACT_BLOCK so it can be routed correctly.

Next steps

• Need help now: use the CONTACT_BLOCK and send a complete request.
• Submitting a correction: follow the corrections and update policy intake so your request includes what is needed.
• Want to start using Heartbeat.ai: sign up for Heartbeat.ai.

For trust context, see the Heartbeat.ai trust methodology.

About the Author

Ben Argeband is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben’s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on LinkedIn.