Customereye

toddla.co

Entertainment & Eventstoddla.co

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

200 reviews over 32 days (about 190 per month). Busiest month: 90% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

77/100
Short observation window (32 days)
4.69 ★ average rating · 200 reviews
77/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 90% of the reviews.

Entertainment & Events average: score 59.7, rating 4.06 stars, reply rate 34.9%, over 991 ranked companies · benchmark 6 Oct 2026

Score

77.4

Industry average 59.7

17.7 above average

Rating

4.69

Industry average 4.06

0.63 above average

Reply rate

—

Industry average 34.9%

not measured

Competitive Performance Rank

Among ranked Entertainment & Events companies

#163of 991 ranked in Entertainment & Events
Top 16% · Top Tier
#1 (best)#991 (worst)
#161Peer
#162Peer
#163This company
#164Peer
#165Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

90% of reviews positive, 10% negative

90%
positive
  • Positive90%
  • Neutral1%
  • Negative10%

Sentiment Balance

Covering September 2026 — 180 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 90% of reviews in this period, with 9% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Customer Support
Hidden
Delivery Shipping
Hidden
Hidden

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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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