Can I customize the survey questions Bookbag sends?

Yes. You can configure the CSAT scale (stars, numbers, emoji), question text, and optional follow-up questions for different issue types or channels.

Does Bookbag send feedback requests after every interaction, or only certain types?

You configure the rules. Common setups include: send CSAT after every closed support ticket, send post-purchase check-ins 5 days after delivery, and skip feedback requests on exchanges still in progress.

How does the negative review interception work in practice?

When a customer gives a 1 or 2 rating, Bookbag creates a high-priority ticket and optionally sends an immediate reply from your team offering to make it right — all before the customer is prompted to leave a public review.

Where can I see the aggregated feedback data?

The Bookbag dashboard shows CSAT over time, breakdown by channel and issue type, common complaint themes extracted from open-text responses, and product-level satisfaction data.

Does Bookbag integrate with review platforms like Okendo or Yotpo?

Yes. Satisfied customers (high CSAT scores) can be automatically prompted to leave a public review on your preferred platform as a follow-up step.

Channels & Ops

Collect Feedback That Actually Changes How You Operate

Automated post-interaction surveys and post-purchase check-ins that capture honest feedback — and route negative signals before they become public reviews.

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Most Shopify stores either don't collect feedback at all or send generic review-request emails weeks after purchase. Bookbag embeds feedback collection into the natural support flow — asking for satisfaction scores after resolutions, sending short post-purchase check-ins, and flagging low scores for proactive outreach before an unhappy customer leaves a public review.

The problem

Shopify merchants are often flying blind on customer satisfaction. They see aggregate revenue numbers and review stars, but have no systematic way to understand why customers are frustrated, which products have fit or quality issues, or which support interactions leave people feeling unheard. Without structured feedback, the same problems repeat endlessly.

Generic review request emails sent days after purchase get low response rates and no actionable specificity
Unhappy customers who don't submit feedback silently churn and post negative reviews instead
Support teams have no feedback loop to know which automated resolutions actually satisfied customers
Product quality issues that show up in support tickets are never aggregated and never surface to the product team

How Bookbag handles it

Step 1

Post-resolution CSAT surveys

After Bookbag or a human agent closes a support interaction, a short satisfaction survey is sent automatically — a 1–5 rating and optional comment, delivered via the same channel as the conversation.

Step 2

Post-purchase check-ins

A few days after delivery confirmation, Bookbag sends a brief check-in — 'Did everything arrive as expected?' — that opens a conversation for customers with issues and feeds into your CSAT data.

Step 3

Negative signal interception

Low satisfaction scores (1–2) trigger an immediate outreach from your team rather than a review-request email — turning a potential negative review into a recovery conversation.

Step 4

Feedback aggregation and reporting

All feedback flows into a dashboard showing CSAT trends, common complaint themes, and product-level satisfaction data — actionable insights, not raw data.

See it in action

[Post-resolution survey response] Rating: 2/5. Comment: 'The return process was confusing and I had to send 3 emails before anyone helped me.'

Hi Maya — thank you for the honest feedback. I can see your return for order #5281 did take longer than it should have, and I'm sorry for the frustration. Your refund has been processed as of today. I'd like to offer you a $15 credit on your next order as an apology for the experience. Would that be helpful?

Why it matters

Early warning system for unhappy customers

Low CSAT scores trigger proactive outreach before frustrated customers post publicly — turning problems into recovery opportunities.

Actionable product and operations data

Aggregated feedback reveals patterns — a specific product with fit complaints, a shipping carrier with damage issues — that drive real operational changes.

Higher response rates through in-context delivery

Feedback requests sent through the same channel as the support conversation get dramatically higher response rates than email-only surveys.

Continuous improvement for AI accuracy

CSAT data from AI-resolved tickets feeds directly into Bookbag's knowledge base updates — low-scoring resolution types get reviewed and improved.

higher survey response rate when sent in-channel vs email

68%

of unhappy customers don't complain — they just churn

40%

of low-CSAT customers retained through proactive recovery outreach

Frequently Asked Questions

Related use cases

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Great automation isn't about replacing humans — it's about making sure humans focus on the conversations where they make the biggest difference.

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Returns & Exchanges

Bookbag walks customers through your return policy, initiates return requests, and generates labels — all without a human in the loop.

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Order Tracking

Bookbag connects to your Shopify store and carrier feeds to deliver real-time order status without a human agent.

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Let Bookbag handle it for you

Join the ecommerce teams resolving more tickets, answering 24/7, and turning support into a revenue channel with Bookbag.

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