Customereye

The LOTE Agency

Professional Services • Australiawww.loteagency.com.au

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,764 days (about 1.7 per month). Busiest month: 75% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

63/100
4.78 ★ average rating · 100 reviews
63/100 from 100 reviews over 4 months, limited confidence. no reviews in the last 12 months. one month holds 75% of the reviews.

These figures describe an earlier period, not the last 12 months.

Professional Services average: score 66.0, rating 4.35 stars, reply rate 45.1%, over 1,150 ranked companies · benchmark 30 Oct 2026

Score

63.0

Industry average 66.0

3.0 below average

Rating

4.78

Industry average 4.35

0.43 above average

Reply rate

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Industry average 45.1%

not measured

Competitive Performance Rank

Not ranked

no reviews in the last 12 months

Overall Customer Sentiment

Below Average

88% of reviews positive, 10% negative

88%
positive
  • Positive88%
  • Neutral2%
  • Negative10%

Sentiment Balance

Covering May 2023 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Loyalty
Hidden
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. 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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