How to Use Your CRM Data for Targeted AI Research: Import Participants and Personalize Every Interview

Your CRM contains the most valuable research sample you will ever have — real customers segmented by lifecycle stage, product usage, deal size, and behavior. By importing CRM data into Koji and sending personalized interview links, you can run targeted research on exactly the customer segments that matter, with response rates 3–5x higher than generic recruitment.

Why CRM-Backed Research Is Different

Most research recruiting starts from scratch. You either tap a research panel of strangers who approximately match your criteria, or you run broad customer outreach and hope enough of the right people respond.

CRM-backed research is fundamentally different. You already know exactly who you want to talk to. You have their name, company, deal stage, product usage tier, support ticket history, and often their job title and team. You can recruit with surgical precision instead of fishing with a broad net.

This matters because research questions are not one-size-fits-all. What you need to learn from a churned customer is completely different from what you need from a freshly onboarded user or an enterprise account that has been quiet for 90 days. Generic recruitment gives you a mixed bag. CRM-backed recruitment gives you exactly the cohort whose insights will drive your next decision.

What You Can Do with Koji + CRM Data

Segment-specific research. Pull your churned customers from the last 90 days, your power users who have never upgraded, your enterprise accounts approaching renewal — and run targeted studies for each group with questions designed for their specific situation.

Personalized interview links. Koji lets you create personalized interview links that pre-populate participant context. When your interview invitation says "Hi Sarah, we noticed your team has been using the Reporting feature heavily — we would love to understand your experience," response rates jump significantly. Participants feel recognized, not mass-marketed to.

Longitudinal tracking. Interview the same cohort of customers at multiple points in their journey — 7 days post-onboarding, 30 days, 90 days — using Koji's CSV import capability to maintain participant continuity across study waves.

Closed-loop research. Connect research findings back to CRM records. When you understand why a specific segment churns, you can update CRM fields, trigger CSM alerts, or inform account health scoring with qualitative insight, not just usage metrics.

Step-by-Step: CRM to AI Interview

Step 1: Define Your Target Segment

Before touching your CRM, get precise about who you want to research. Vague segments produce unreliable data. Strong segment definitions look like:

• "Enterprise accounts (50+ seats) who completed onboarding in the last 30 days and have not activated the Reports feature"
• "Customers who downgraded from the Interviews plan to the Insights plan in Q1 2026"
• "Contacts tagged 'champion' in accounts with open upsell opportunities in the pipeline"
• "All users who submitted a support ticket in the last 14 days that was resolved in under 2 hours"

The more precisely you define the segment, the more targeted your questions can be — and the more actionable your findings.

Step 2: Export from Your CRM

Export a CSV from Salesforce, HubSpot, Attio, or your CRM of choice. Include at minimum: first name, last name, email address. You can also include company name, account tier, and any other variables you want to reference in personalized links.

HubSpot: Lists → Export List → CSV Salesforce: Reports → Export → CSV format Attio: Contacts view → Apply filters → Export

Clean the export before importing: check for duplicates, verify email formats, and confirm names are properly capitalized. A personalized link that says "Hi MARCUS CHEN" from a poorly cleaned export undermines the personalization effect immediately.

Step 3: Import to Koji

In Koji, navigate to your study's Recruit tab and use the CSV Import feature. Map your CSV columns to Koji's participant fields. The import process validates email addresses, removes duplicates, and creates individual participant records that you can track through to completion.

For studies where personalization matters — churn research, executive outreach, high-value account check-ins — take a few minutes to preview the imported list before distributing. Spot-check 10–15 records for data quality issues before sending to hundreds of participants.

Step 4: Configure Personalized Links

Koji's personalized links feature lets you include participant-specific variables in the interview invitation. You can reference {{first_name}}, {{company}}, or custom fields you imported. Each participant's interview link is unique, which means you can track completion at the individual level without relying on email marketing attribution tools.

This individual tracking is valuable beyond completion monitoring. When you later analyze findings, you can filter by participant attributes — "show me responses from enterprise accounts only" or "compare onboarding experience by plan tier" — because the participant context flows through to your study data.

Step 5: Distribute via Your Preferred Channel

For CRM-backed research, your existing customer communication channel is almost always the most effective distribution mechanism:

• CSM-sent emails deliver the highest trust and response rates, especially for enterprise accounts and high-value customers. A CSM who knows the account can personalize the framing beyond what the invitation template provides.
• CRM email sequences work well for medium-volume campaigns (50–500 participants) where individual CSM outreach is not practical.
• In-product notifications are ideal for active users — they see the research invitation in the context where they actually use the product.
• LinkedIn direct messages work for contacts who are responsive on LinkedIn but not email-responsive, particularly for B2B senior personas.

Track which channel drove completions by tagging your distribution in Koji's participant notes field, so you can optimize channel selection for future studies.

Step 6: Monitor and Follow Up

Koji's Recruit tab shows real-time completion status for each imported participant. You can identify who has not completed and trigger a follow-up through your CRM or email tool. A single follow-up sent 3 days after the initial invitation typically generates 40–60% of final completions — many participants intend to complete but forget without a reminder.

Keep follow-ups short: "Just a quick reminder — the interview is only 10 minutes and your input genuinely shapes how we build [product]. Click here to share your experience."

Designing Questions for CRM-Segmented Research

When you know exactly who you are talking to, you can design much more targeted questions. Koji's six structured question types add particular value in CRM-backed studies because the quantitative outputs can be compared across segments.

For churn research:

• Single choice: "Which best describes your primary reason for downgrading?" [Cost, Missing features, Switching to a competitor, Team restructure, Other]
• Open-ended (with AI follow-up): "Walk me through what a typical week looked like when you were using the product most actively."
• Scale 1–10: "If we added [specific feature], how likely would you be to upgrade?"

For expansion and upsell research:

• Yes/no: "Has your team tried using the export functionality in the last 30 days?"
• Open-ended: "Tell me about a moment in the last month when you wished Koji could do something it couldn't."
• Scale 1–10: "How confident are you that our reporting features meet your leadership's needs?"

For onboarding research:

• Ranking: "Rank these features by how quickly you understood their value: [Reports, Insights Dashboard, Voice Interviews, API Integration]"
• Open-ended: "What was the first thing that made you think 'this is going to save me time'?"
• Scale 1–10: "How well does your current workflow match what you expected when you signed up?"

The structured questions system in Koji ensures that quantitative answers — scale ratings, choice selections, rankings — are automatically extracted and aggregated in your report. You get the distribution chart showing where your onboarding is failing and the qualitative "why" from the same conversation, without any manual analysis.

Connecting Research Findings Back to Your CRM

The most sophisticated use of CRM-backed research is closing the loop: updating your CRM with qualitative insights from the interviews.

After a churn research study, you can:

• Tag churned accounts by their stated churn reason in your CRM
• Update health scores for at-risk accounts based on themes identified in the research
• Create CSM tasks triggered by specific findings ("Account said they didn't know about X feature — schedule enablement call")

After an expansion research study, you can:

• Flag accounts that expressed strong interest in an unreleased feature as potential early adopters
• Update the "expansion likelihood" field for accounts where research revealed strong unmet needs
• Provide sales with specific objection-handling context for each account that participated

Koji's webhook integration can automate parts of this loop — triggering a CRM update when a participant completes an interview, or flagging specific responses for CSM follow-up.

Privacy and Compliance Considerations

When importing CRM data for research purposes:

Lawful basis. Ensure your customer communication consent covers research invitations. In most B2B contexts, legitimate interest under GDPR applies to service improvement research sent to existing customers — but confirm this with your legal team, particularly for EU-based contacts.

Data minimization. Import only the fields you actually need for the study. Do not import internal scoring, financial data, or proprietary account intelligence that should not appear in interview links or participant views.

Unsubscribe and opt-out. Respect unsubscribes. Filter your CRM export to exclude contacts who have opted out of non-transactional communications. Koji tracks completion but does not manage unsubscribes — your CRM is the system of record for communication preferences.

Data retention. Define how long participant data will be retained in Koji after the study closes. For most research, you need participant records only until findings are analyzed and documented — after that, they can be deleted from Koji while the synthesized insights live in your research repository.

Related Resources

• Personalized Interview Links: Send Targeted Research Invitations to Every Participant
• Importing Participants via CSV
• Managing Research Participants: The Complete Guide to Koji's Recruit Tab
• Structured Questions in AI Interviews
• Churned Customer Interviews: How to Talk to Users Who Left (and Win Them Back)
• Research Automation: How to Build Real-Time Research Pipelines with Webhooks