Double Your Survey Response Rates

AI personalizes survey invitations and automatically follows up with non-respondents. Autonomous mode handles the full distribution lifecycle.


Why this matters

Survey response rates average 10-15% because generic invitations fail to motivate recipients. Without follow-ups, the majority of potential respondents never complete the survey. Manually tracking who responded and sending personalized reminders does not scale, leaving valuable feedback uncollected.


How MultiMail solves this

MultiMail's AI agent personalizes survey invitations based on each recipient's relationship and recent interactions, then automatically follows up with non-respondents. Autonomous mode handles the full distribution and follow-up cadence since survey invitations are templated and low-risk.

1

Build Target Audience

Use search_contacts to identify the right survey audience based on role, engagement level, product usage, or any other contact metadata.

2

Personalize Invitations

The AI agent drafts personalized survey invitations that explain why this recipient's feedback matters and how long the survey takes.

3

Send and Track

Using send_email with autonomous oversight, invitations are delivered immediately. The agent tracks which recipients complete the survey.

4

Follow Up with Non-Respondents

After a configurable waiting period, the agent sends personalized follow-up reminders to recipients who haven't responded, adjusting the messaging to be more compelling.


Implementation

Send Personalized Survey Invitations
python
import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

def send_survey_invitation(recipient: dict, survey_url: str):
    response = requests.post(
        f"{API}/send",
        headers=HEADERS,
        json={
            "from": "[email protected]",
            "to": [recipient["email"]],
            "subject": "2 minutes: Help us improve our API documentation",
            "text_body": (
                f"Hi {recipient[&"cm">#039;name']},\n\n"
                f"As an active API user, your feedback would be incredibly "
                f"valuable. This 2-minute survey covers our documentation "
                f"quality, code examples, and search experience.\n\n"
                f"Take the survey: {survey_url}?ref={recipient[&"cm">#039;id']}\n\n"
                f"Your responses directly influence our Q2 documentation "
                f"roadmap. Every response matters.\n\n"
                f"Thanks,\nProduct Team"
            ),
            "html_body": f"<p>Hi {recipient[&"cm">#039;name']}...</p>"
        }
    )
    return response.json()

# Send to targeted audience
audience = requests.get(
    f"{API}/contacts/search",
    headers=HEADERS,
    params={"query": "api-user active"}
).json()

for recipient in audience["results"]:
    send_survey_invitation(recipient, "https://survey.yourcompany.com/api-docs")

Distribute survey invitations with personalized messaging to targeted recipients.

Follow Up with Non-Respondents
python
import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

"cm"># Find contacts tagged as survey-sent but not survey-completed
non_respondents = requests.get(
    f"{API}/contacts/search",
    headers=HEADERS,
    params={"query": "survey-sent -survey-completed api-docs-2026"}
).json()

for recipient in non_respondents["results"]:
    response = requests.post(
        f"{API}/send",
        headers=HEADERS,
        json={
            "from": "[email protected]",
            "to": [recipient["email"]],
            "subject": "Quick reminder: Your feedback helps shape our docs (2 min)",
            "text_body": (
                f"Hi {recipient[&"cm">#039;name']},\n\n"
                f"Just a friendly reminder — we&"cm">#039;d love your input on our "
                f"API documentation. Only 2 minutes.\n\n"
                f"Take the survey: https://survey.yourcompany.com/api-docs?ref={recipient[&"cm">#039;id']}"
            )
        }
    )

Send reminders to recipients who haven't completed the survey.

MCP Tool: Survey Campaign Workflow
typescript
"cm">// Find target audience
const audience = await mcp.search_contacts({
  query: "api-user active",
  limit: 200
});

"cm">// Send personalized invitations
for (const recipient of audience.results) {
  const result = await mcp.send_email({
    to: recipient.email,
    subject: "2 minutes: Help us improve our API docs",
    text_body: `Hi ${recipient.name}, as an active API user...`
  });

  await mcp.tag_email({
    email_id: result.id,
    tags: ["survey", "api-docs-2026", "initial-send"]
  });
}

console.log(`Sent ${audience.results.length} survey invitations`);

Use MCP tools to manage the full survey distribution lifecycle.


What you get

2x Higher Response Rates

Personalized invitations that explain why this recipient's input matters outperform generic survey blasts by 2x or more.

Automated Follow-Up Cadence

The AI handles reminder sequences for non-respondents without manual tracking. Configure timing and frequency to maximize responses without annoying recipients.

Zero-Delay Distribution

Autonomous mode sends survey invitations immediately when campaigns launch. No human bottleneck on templated, low-risk survey communications.

Audience Segmentation

Target specific user segments with relevant surveys. API users get documentation surveys, new users get onboarding surveys, power users get feature prioritization surveys.


Recommended oversight mode

Recommended
autonomous
Survey invitations are templated, low-risk communications. Personalization is limited to recipient name and usage context. Autonomous mode ensures surveys launch on schedule without delays from manual review.

Common questions

How do we track who has responded?
Your survey platform provides completion data. Your AI agent cross-references completions with the contact list to identify non-respondents for follow-up. Tag contacts as 'survey-completed' when they finish to prevent unnecessary reminders.
How many follow-up reminders should we send?
One to two follow-ups are optimal. Send the first reminder 3-5 days after the initial invitation, and a final reminder 3 days before the survey closes. More than two reminders typically annoys recipients without significantly improving response rates.
Can we A/B test survey invitation messaging?
Yes. Your AI agent can draft multiple invitation variants with different subject lines, value propositions, or CTAs. Send each variant to a test segment and measure open and completion rates before rolling out the winner to the full audience.
Does this handle unsubscribe requests?
MultiMail includes unsubscribe links in all emails and automatically honors opt-out requests. Recipients who unsubscribe are excluded from future survey distributions without any manual intervention.

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