Best Practices
Proven strategies for running high-converting AI voice campaigns
Best Practices for AI Voice Campaigns
These are the patterns that consistently produce the best results across campaigns.
Script Best Practices
Keep the opener under 10 seconds. State your name, your company, and one clear reason for calling. Then ask a permission question: “Do you have 30 seconds?”
One call, one goal. Don’t try to qualify, pitch, and book a meeting in the same call. Pick one objective per campaign.
Write for ears, not eyes. Read your script aloud before deploying it. Sentences that look fine on paper often sound awkward when spoken.
Prepare for the top 3 objections. At minimum: “I’m not interested”, “We already have a solution”, and “Call me back later.”
Contact List Best Practices
Segment before you import. Don’t mix cold leads, warm leads, and existing customers in the same campaign. Each segment needs a different script.
Validate phone numbers before import. Invalid numbers waste call minutes and inflate your failure rate. Use E.164 format: +1234567890.
Keep lists fresh. Contacts with opted_out or dnc status are automatically skipped by Ariel, but regularly audit your list to remove bad data.
Campaign Configuration Best Practices
Respect call windows. Only call during business hours in your target market’s timezone. 9:00–17:00 Monday–Friday is a safe default for B2B.
Don’t over-retry. The default 5-attempt maximum with exponential backoff is appropriate for most use cases. Reducing this for cold outreach can improve your overall answer rate quality.
Start small, then scale. Run your first campaign with 50–100 contacts before scaling to thousands. Identify issues with your script and configuration before amplifying them.
Analytics Best Practices
Look at sentiment, not just answer rate. A high answer rate with poor sentiment means your script is off. A lower answer rate with good sentiment means you’re qualifying well.
Compare scripts head-to-head. Run two campaigns with identical contact lists and different scripts to find what works.
Check the calls page weekly. Reading actual transcripts reveals objections and patterns that aggregate stats can miss.