Customereye

Tapjoy

Professional Services • United Statestapjoy.com

Review data last updated .

Based on public reviews and response behavior.

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600 reviews over 133 days (about 137 per month). Busiest month: 63% of reviews — one month dominates this sample.

Overall Score

46/100
−24.4 vs. last month3.75 ★ average rating · 600 reviews
46/100 from 600 reviews over 6 months, moderate confidence. one month holds 63% of the reviews.

Professional Services average: score 66.2, rating 4.38 stars, reply rate 42.8%, over 1,436 ranked companies · benchmark 23 Oct 2026

Score

46.1

Industry average 66.2

20.1 below average

Rating

3.75

Industry average 4.38

0.63 below average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#1308of 1436 ranked in Professional Services
Top 91% · Bottom Tierdown 14 from last month
#1 (best)#1436 (worst)
#1306Peer
#1307Peer
#1308This company
#1309Peer
#1310Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

68% of reviews positive, 31% negative

68%
positive
  • Positive68%
  • Neutral1%
  • Negative31%

Sentiment Balance

Covering September 2024 — 9 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Reviews (Count)
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
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Problem Resolution
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Response Speed
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Communication
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Loyalty
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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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