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Categories / Reviews & Reputation

Bulk review request email campaigns

Sporting goods retailer · reviews up 2,800% in two months

CostReviewTrackers (quote-based, per location)Vendor-published results (Google/Facebook reviews 15→435 in two months; ~16,000 Ask emails in a month across four campaigns). ReviewTrackers plans are custom quotes. Exact Ask Tool click paths are not in a public help center—steps name documented features (Ask, Drip, Alerts, inbox) plus Settings paths from ReviewTrackers' FAQ materials used on related guides.
Businesssporting goods retailer (2 locations/brands after acquisition; previously distressed 1-star ratings)
StatusNew✓ Setup guide
Added2026-10-15
SourceWeb View original ↗
Task
send large Ask campaigns and centralize Google/Facebook monitoring and replies
Result
Google/Facebook reviews from 15 to 435 in two months (+2,800%); ~16,000 review-request emails in one month across four campaigns of 4,000+ each; ~1 hour/day saved vs manual feed checks; team responds to every review
Tools
  • ReviewTrackers (Ask tool, review inbox)
Setup
  1. export 6 months of fulfilled-order emails → split Ask campaigns evenly across brands and Google vs Facebook → send four staggered campaigns → morning ReviewTrackers inbox check for new reviews → personalize replies (thank positives
  2. ask for feedback on 4-stars
  3. investigate negatives)

Send this to your AI

A ready-to-send prompt built from this card. Your AI will ask a few questions about your business, then give you a beginner setup plan.

Copy the prompt below, then open your AI: Claude · ChatGPT · Grok · Gemini

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Help me set this up for my business: "Bulk review request email campaigns".
Example business: sporting goods retailer (2 locations/brands after acquisition; previously distressed…. Task: send large Ask campaigns and centralize Google/Facebook monitoring and replies.
Reported result: Google/Facebook reviews from 15 to 435 in two months (+2,800%); ~16,000 review-request emails in one month across four campaigns of 4,000+ each; ~1 hour/day saved vs…
Tools: ReviewTrackers (Ask tool, review inbox)
Setup outline:
1. export 6 months of fulfilled-order emails → split Ask campaigns evenly across brands and Google vs Facebook…
2. ask for feedback on 4-stars
3. investigate negatives)
Starter prompt from the guide (use it as a base):
I run a sporting goods / retail shop with [N] locations. We use ReviewTrackers Ask.

Write:
1. A review-request email (under 100 words) with placeholders [FIRST NAME], [STORE NAME], [REVIEW LINK].
2. Three reply templates: 5-star thank-you, 4-star ask-for-detail, 1–2 star apology + invite to [SUPPORT EMAIL].
No incentives that violate Google’s review policies. Tone: friendly and specific.

First, ask me up to 5 questions about my business and tools. Then give me a beginner step-by-step setup plan, plus copy-paste prompts/templates I can use. Plain English, and tell me if any step needs a tech helper.

via autopilotbusiness.ai/use-case/sporting-goods-retailer-reviewtrackers-ask-reviews-15435-in-two-months/
Step-by-step setup guide + copy-paste prompt

Honest note: mostly rules-based software (Ask campaigns, inbox, alerts). The +2,800% figure is vendor-published after a distressed acquisition baseline—do not expect the same multiple from a healthy starting point. Public nested menus for Ask are thin; Settings paths below match ReviewTrackers FAQ/blog documentation.

Prerequisites

  • ReviewTrackers admin login (sales-quoted).
  • Google Business Profile and Facebook Page admin access for each brand/location.
  • A CSV of fulfilled-order emails (about six months is what the case used), split by brand if you operate more than one.

Step-by-step setup

Step 1. Connect sources. Settings → Integrations: Connect Google and Facebook. Allow overnight sync. Check Settings → Locations for errors.

Step 2. Add users. Settings → Users → Add New User for anyone who will reply or get alerts.

Step 3. Export and segment Ask lists. From your store or POS, export fulfilled-order emails. Split into roughly equal campaigns by brand and by destination (Google vs Facebook) so you do not dump one giant blast.

Step 4. Send staggered Ask campaigns. Open the Ask Tool. Build an email (or SMS) with merge tags (business name, location, customer name with a fallback). Quick Send handles small batches; larger lists use full campaigns. Add Drip Campaigns so non-reviewers get a reminder. Space the four campaign waves over days or weeks (the case sent ~4,000+ per wave). Prefer Google if that is where shoppers look first.

Step 5. Morning inbox routine. Each morning open the ReviewTrackers review inbox. Thank 5-stars, ask 4-stars what would have made it perfect, and investigate 1–3 stars with a public reply plus a private follow-up. Assign an owner so nothing sits unanswered.

Step 6. Optional alerts. Settings → Alerts → Add New Alert (or from a user profile → Alerts) for reviews under 3 stars so managers see problems the same day.

Easier: let your AI do it

No official ReviewTrackers connector for Claude, ChatGPT, or Grok. Use the prompt for Ask copy and reply templates.

What success looks like

Past customers get a polite ask; new reviews arrive daily; one inbox replaces checking Google and Facebook separately. Track review count and response rate against your own baseline (the case reported ~1 hour/day saved vs manual feed checks).

Common issues & fixes

  • Reviews missing: reconnect under Settings → Integrations.
  • Low Ask response: shorten copy, send closer to delivery, and enable drip reminders.
  • Team overwhelmed: stagger campaigns; do not send all 16k in one day.

Optional: Maintenance

  • Monthly: export newer fulfilled orders and run a smaller Ask wave.
  • Quarterly: refresh reply templates.

Copy-paste prompt

I run a sporting goods / retail shop with [N] locations. We use ReviewTrackers Ask.

Write:
1. A review-request email (under 100 words) with placeholders [FIRST NAME], [STORE NAME], [REVIEW LINK].
2. Three reply templates: 5-star thank-you, 4-star ask-for-detail, 1–2 star apology + invite to [SUPPORT EMAIL].
No incentives that violate Google’s review policies. Tone: friendly and specific.

Sources

Industries: AI automation for Retail Shops

Results as reported by the source; not independently verified. Community-sourced from public sites and attributed to the source platform. Original author? Ask us to correct or remove it. Read the disclaimer.

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