50 models answered this prompt. Full text and timings are in the viewer above.
gpt-5.6-terra
## Key trends ### 1. Strong full-year growth, despite a mid-year setback - **MAU:** 45,000 in January to **63,500 in December** — up **41.1%** - **Revenue:** $112,500 to **$171,450** — up **52.4%** - Revenue grew faster than MAU, indicating improved monetization by year-end. ### 2. Clear April–July downturn, followed by a strong recovery | Metric | Mar | Jun | Change | |---|---:|---:|---:| | MAU | 52,000 | 48,000 | -7.7% | | Revenue | $130,000 | $96,000 | -26.2% | | New users | 11,500 | 5,500 | -52.2% | | Churn rate | 4.1% | 6.2% | +2.1 pts | - MAU peaked initially at **54,000 in April**, then declined for three months, reaching a low of **46,500 in July**. - Revenue declined earlier and fas…
Response time: 29568ms · Tokens: 2470
gemini-3.8-flash
### 1. Key Performance Trends * **Strong Full-Year Growth:** Over the 12-month period, MAU grew **+41.1%** (45,000 to 63,500) and monthly revenue increased **+52.4%** ($112,500 to $171,450). * **Average Revenue Per User (ARPU) Volatility:** * **Q1 (Jan–Mar):** Flat at **$2.50**. * **Q2 (Apr–Jun):** Compressed significantly, dropping from **$2.25** in April down to a low of **$2.00** in June. * **H2 (Jul–Dec):** Strong expansion, climbing steadily from **$2.10** in July to an annual high of **$2.70** in December. * **Churn & Acquisition Inverse Symmetry:** * Churn and user acquisition moved in tandem against the business from April to June (churn peaked at **6.2%** while new user additions ha…
Response time: 17268ms · Tokens: 2700
mistral-voxtral-mini-3b-2507
**1. Key Trends** - **Overall Growth (MAU)**: The app grew steadily over the course of the 12 months from 45K in January to 63.5K in December. The CAGR (compound annual growth rate) for MAU is around 13.68%. - **Revenue**: While the average monthly revenue increased, fluctuations in revenue were noticeable. The peak monthly revenue was in December at 171.45K dollars. - **Monthly Returning Users and Gross Retention Rate**: Using the net new and regular churn rate, we estimated the gross retention rate. Assuming users leave on a monthly basis: - **Mid-month drop (Churn) = 4% (constant throughout)** - **Calculation of Gross retention rate**: Monthly retention rate = 1 - daily churn rate per day…
Response time: 4212ms · Tokens: 1004
anthropic-claude-opus-4-6
# Mobile App Performance Analysis: 12-Month Review ## Executive Summary Your app shows a strong overall growth trajectory — MAU grew **41%** and revenue grew **52%** over the year — but this story is interrupted by a notable Q2 dip that warrants careful examination. The recovery and subsequent acceleration in H2 suggest the underlying product is sound. --- ## Key Trends Identified ### 1. Overall Growth Trajectory | Metric | Jan | Dec | Change | |---|---|---|---| | MAU | 45,000 | 63,500 | **+41.1%** | | Revenue | $112,500 | $171,450 | **+52.4%** | | ARPU | $2.50 | $2.70 | **+8.0%** | | Churn Rate | 4.2% | 3.2% | **-1.0pp** | Revenue is outpacing user growth, which signals **improving monetiza…
Response time: 48761ms · Tokens: 2216
anthropic-claude-sonnet-4-6
# Mobile App Performance Analysis ## Executive Summary The app shows **strong overall growth** (+41% MAU, +52% revenue year-over-year) but experienced a notable mid-year contraction that masks an underlying vulnerability worth addressing before it recurs. --- ## Key Trends ### 1. MAU Growth — Strong but Uneven | Period | Trend | MAU Change | |--------|-------|------------| | Jan–Apr | Growth phase | +45,000 → +54,000 (+20%) | | Apr–Jun | Contraction | -54,000 → -48,000 (-11%) | | Jun–Dec | Recovery & acceleration | +48,000 → +63,500 (+32%) | The dip wasn't a blip — it lasted **three consecutive months** and erased nearly all Q1 gains before recovering. ### 2. Revenue Per User (RPU) — A Hidde…
Response time: 37270ms · Tokens: 1883
anthropic-claude-haiku-4-5
# Mobile App Analytics: 12-Month Performance Analysis ## Key Trends ### 1. **Strong Overall Growth Trajectory** - **MAU Growth**: 45,000 → 63,500 (+41% YoY) - **Revenue Growth**: $112,500 → $171,450 (+52% YoY) - **Revenue per User**: $2.50 (Jan) → $2.70 (Dec) (+8% improvement) - **Consistent momentum** from October onwards (Q4 acceleration) ### 2. **User Acquisition Patterns** - Peak new user acquisition: October (12,500) and March (11,500) - Average monthly new users: 9,408 - New user trends correlate strongly with revenue peaks ### 3. **Churn Rate Improvement** - **Declining trend**: 4.2% (Jan) → 3.2% (Dec) - **Best months**: Oct-Dec (3.2-3.8%) - **26% improvement** in retention over 12 mo…
Response time: 11909ms · Tokens: 1430
minimax-m2.7
### Key Trends 1. **Overall Growth**: MAU grew from 45,000 (Jan) to 63,500 (Dec), a 41% increase, while revenue rose from $112,500 to $171,450, a 52% increase, indicating improving monetization. 2. **Revenue per MAU**: Remained stable at $2.5 from Jan–Mar, then dipped to $2.0 by Jun, before recovering to $2.7 by Dec. This suggests a temporary drop in monetization efficiency during Apr–Jun. 3. **New User Acquisition**: Peaked in Mar (11,500) and Oct (12,500), but dropped significantly in Apr–Jun (8,800, 6,200, 5,500), coinciding with the dip. 4. **Churn Rate**: Declined overall from 4.2% to 3.2%, but spiked from Apr–Jun (4.8%, 5.9%, 6.2%), indicating higher user attrition during that period.…
Response time: 49022ms · Tokens: 2531
glm-5
Based on the data provided, here is an analysis of the key trends, an explanation of the mid-year dip, and strategic recommendations. ### 1. Key Trends Analysis **A. Revenue and User Growth Decoupling (April - June)** Typically, Revenue and MAU move in tandem. However, from April through June, this correlation broke down. * **April:** MAU peaked for the first half of the year (54,000), but Revenue dropped significantly ($121,500 vs. March’s $130,000). * This indicates that while the app was acquiring users, their quality or engagement was lower, or monetization mechanics failed to convert that specific cohort. **B. The "Summer Slump" & Recovery** * The app experienced a clear contraction fro…
Response time: 32333ms · Tokens: 3657
llm-jp-3.1-8x13b-instruct4
Key Trends: 1. User Growth: The number of monthly active users (MAU) has been consistently increasing over the past 12 months, with a significant jump in April and a steady growth rate in the following months. 2. Revenue Growth: Revenue has also been growing, but with fluctuations. The highest revenue was recorded in December, and the lowest in June. 3. Churn Rate: The churn rate has been relatively stable, with a slight decrease in the first half of the year and an increase in the second half. Dip in April-June: The dip in MAU and revenue during April-June can be attributed to the following factors: 1. Seasonality: The app may be more popular during certain seasons or events, and the dip co…
Response time: 5097ms · Tokens: 543
gpt-oss-120b
## 1️⃣ What the numbers are telling you | Month | MAU | Rev. ($) | ARPU* | New Users | Churn % | |------|------|----------|------|-----------|--------| | Jan | 45 000 | 112 500 | **2.50** | 8 200 | 4.2 | | Feb | 47 500 | 118 750 | 2.50 | 9 100 | 4.5 | | Mar | 52 000 | 130 000 | 2.50 | 11 500| 4.1 | | Apr | 54 000 | 121 500 | **2.25** | 8 800 | 4.8 | | May | 51 000 | 107 100 | **2.10** | 6 200 | 5.9 | | Jun | 48 000 | 96 000 | **2.00** | 5 500 | 6.2 | | Jul | 46 500 | 97 650 | 2.10 | 6 800 | 5.5 | | Aug | 49 000 | 107 800 | 2.20 | 9 200 | 4.7 | | Sep | 53 500 | 123 050 | 2.30 |10 800 | 4.0 | | Oct | 58 000 | 145 000 | 2.50 |12 500 | 3.8 | | Nov | 61 000 | 158 600 | 2.60 |11 200 | 3.5 | | Dec…
Response time: 13966ms · Tokens: 3113
random-free
**1️⃣ Quick‑look trends (12‑month snapshot)** | Month | MAU ↑/↓ | Revenue ↑/↓ | New Users ↑/↓ | Churn Rate ↓/↑ | |-------|--------|------------|--------------|----------------| | Jan | 45 k | $112.5 k | 8.2 k | 4.2 % | | Feb | +5 % | +5 % | +11 % | +0.3 pp | | Mar | +9 % | +9 % | +14 % | –0.4 pp | | Apr | +4 % | –7 % | –3 % | +0.7 pp | | May | –6 % | –12 % | –44 % | +1.8 pp | | Jun | –6 % | –11 % | –18 % | +0.3 pp | | Jul | –3 % | +2 % | +22 % | –0.7 pp | | Aug | +5 % | +11 % | +35 % | –0.8 pp | | Sep | +5 % | +14 % | +24 % | –0.7 pp | | Oct | +8 % | +18 % | +16 % | –0.2 pp | | Nov | +5 % | +9 % | –10 % | –0.3 pp | | Dec | +4 % | +8 % | –4 % | –0.3 pp | **Key take‑aways** | Trend | What the…
Response time: 9449ms · Tokens: 2493
deepseek-v4-pro
**Key Trends** - **User growth and recovery:** MAU rose from 45k in January to a peak of 54k in April, then slid to 46.5k in July before recovering strongly to 63.5k by December. The second-half rebound was driven by rising new-user acquisition and falling churn. - **Revenue trajectory:** Revenue followed a similar pattern – climbing to $130k in March, dropping sharply to $96k in June, and then surging to $171k in December. - **ARPU compression and expansion:** Average revenue per user (ARPU) fell from $2.50 in Q1 to a low of $2.00 in June, indicating a monetization squeeze. It recovered to $2.70 by December, suggesting improved monetization or a better user mix. - **Churn rate seesaw:** Chu…
Response time: 35614ms · Tokens: 2559
anthropic-claude-fable-5
# Mobile App Performance Analysis ## Key Trends **1. The year tells a "V-shaped" story** - **Q1 (Jan–Mar):** Healthy growth — MAU up 15.6%, revenue up 15.6%, stable ~4% churn - **Q2 (Apr–Jun):** Sharp decline — MAU fell 11.1% from the March peak, revenue fell 26.2% - **H2 (Jul–Dec):** Strong recovery — MAU grew 36.6% from the June trough, revenue grew 78.6% **2. ARPU (Revenue per MAU) is the hidden story** | Period | ARPU | |--------|------| | Jan–Mar | $2.50 (flat) | | Apr | $2.25 | | May | $2.10 | | Jun | $2.00 (trough) | | Jul–Sep | $2.10 → $2.30 (recovering) | | Oct–Dec | $2.50 → $2.70 (all-time high) | This is critical: **revenue fell faster than users during the dip**, meaning the prob…
Response time: 30853ms · Tokens: 1838
anthropic-claude-opus-4-8
# Mobile App Performance Analysis ## Key Trends **Overall trajectory:** Strong net growth. MAU grew from 45,000 to 63,500 (+41%) and revenue from $112,500 to $171,450 (+52%). Revenue outpaced user growth, which is a healthy sign. **Revenue per user (ARPU) tells the real story:** | Period | ARPU | Signal | |--------|------|--------| | Jan | $2.50 | Baseline | | Jun | $2.00 | Trough | | Dec | $2.70 | Peak | ARPU dipped ~20% during the slump then recovered to an all-time high. The second-half improvement in ARPU is your strongest signal — you're monetizing better, not just adding bodies. **Churn is inversely correlated with health:** Churn peaked at 6.2% in June (the worst month) and hit a low…
Response time: 23016ms · Tokens: 1360
anthropic-claude-opus-5
## Headline Revenue grew 52% year-over-year (Jan $112.5K → Dec $171.5K, FY total ~$1.49M), but the growth story isn't about users — it's about monetization. **MAU grew 41% while revenue grew 52%, and the entire Apr–Jun dip was driven by ARPU collapse, not user loss.** ## The Critical Metric You're Missing: ARPU | Month | MAU | Revenue | **ARPU** | New Users | Net Adds | |-------|-----|---------|----------|-----------|----------| | Jan | 45,000 | $112,500 | **$2.50** | 8,200 | — | | Feb | 47,500 | $118,750 | **$2.50** | 9,100 | +2,500 | | Mar | 52,000 | $130,000 | **$2.50** | 11,500 | +4,500 | | Apr | 54,000 | $121,500 | **$2.25** | 8,800 | +2,000 | | May | 51,000 | $107,100 | **$2.10** | 6,2…
Response time: 79705ms · Tokens: 5782
anthropic-claude-sonnet-5
# MAU & Revenue Analysis ## Key Trends **1. Overall Growth Trajectory** - MAU grew from 45,000 (Jan) to 63,500 (Dec) — a **41% increase** over 12 months - Revenue grew from $112,500 to $171,450 — a **52% increase**, outpacing user growth (indicating improving monetization/ARPU) **2. Revenue Per User (ARPU) Improvement** - Jan ARPU: $2.50/user → Dec ARPU: $2.70/user - Suggests better monetization strategies took hold in H2, not just user acquisition **3. Clear "Dip and Recovery" Pattern (Apr–Jun)** - MAU fell from 54,000 (Apr) to 48,000 (Jun) — a **11% decline** - Revenue fell from $121,500 to $96,000 — a **21% decline** (revenue dropped faster than users, signaling loss of high-value users)…
Response time: 15911ms · Tokens: 1296
deepseek-v4-flash
### Key Trends 1. **Overall Growth with a Spring Dip**: Monthly Active Users (MAU) increased from 45,000 in January to 63,500 in December, a net gain of 41%. However, a significant dip occurred between April and June, where MAU fell from 54,000 to 48,000. Revenue followed a similar pattern, dropping from $121,500 in April to $96,000 in June. 2. **New User Acquisition Volatility**: New users peaked in March (11,500) and again in October (12,500), but dropped sharply from April to June (8,800 → 6,200 → 5,500). This decline coincided with rising churn. 3. **Churn Rate Inversion**: Churn rate increased from 4.1% in March to a high of 6.2% in June, then steadily decreased to 3.2% by December. The…
Response time: 37284ms · Tokens: 1558
glm-5.3
# Analysis: 12-Month Mobile App Performance ## Key Trends **1. Strong annual growth, with revenue outpacing users.** MAU grew **+41%** (45,000 → 63,500) and revenue grew **+52%** ($112.5K → $171.45K). Revenue growing faster than the user base means monetization improved over the year. **2. ARPU tells a hidden story.** Revenue ÷ MAU by month: | | Jan–Mar | Jun (trough) | Dec (peak) | |---|---|---|---| | ARPU | $2.50 | $2.00 | $2.70 | ARPU compressed 20% during the mid-year dip and finished the year at its **highest level ever** ($2.70). Something changed in Q4 monetization worth identifying and replicating. **3. A V-shaped mid-year dip — and recovery took twice as long as the fall.** Revenue…
Response time: 93718ms · Tokens: 7292
deepseek-v4-flash-0731
Here’s a clear breakdown of the trends, the April–June dip, and what to do next. ### Key Trends - **Overall growth is strong:** MAU grew from **45,000 in Jan to 63,500 in Dec** (+41%), and revenue grew from **$112,500 to $171,450** (+52%). Revenue grew faster than users, meaning monetization improved over the year. - **Revenue per user (ARPU) improved over time:** ARPU was **$2.50 in Jan–Mar**, dropped to **$2.00 in June**, then recovered to **$2.70 in Dec**. This shows the later growth wasn’t just from more users — each user was also generating more revenue. - **New user acquisition is volatile:** New users peaked at **11,500 in March**, collapsed to **5,500 in June**, then recovered to **1…
Response time: 22187ms · Tokens: 4659
gemini-3.5-flash
Based on the data provided, your mobile app is experiencing strong overall year-over-year growth, but it is highly susceptible to a mid-year slump. Below is a detailed analysis of the key trends, a deep dive into the April–June performance dip, and actionable recommendations to optimize growth and stabilize retention. --- ### 1. Key Trends (The Big Picture) * **Strong Overall Growth:** Between January and December, your **MAU grew by 41.1%** (45k to 63.5k) and monthly **revenue grew by 52.4%** ($112.5k to $171.45k). * **Rising Average Revenue Per User (ARPU):** ARPU (calculated as Revenue ÷ MAU) is not static. It starts at $2.50 in Q1, drops to a low of $2.00 in June, but recovers strongly t…
Response time: 20559ms · Tokens: 3208
gemini-flash-lite-free
Based on the 12-month dataset provided, here is an analysis of your mobile app’s performance, an explanation of the mid-year dip, and actionable recommendations to sustain growth. --- ### 1. Key Trends * **Overall Growth:** The app shows strong net positive growth over the year. MAU grew by **41.1%** (from 45,000 in January to 63,500 in December), and monthly revenue grew by **52.4%** (from $112,500 to $171,450). * **The "V-Shaped" Recovery:** The year is clearly split into three distinct phases: 1. *Q1 (Jan–Mar):* Strong initial growth and steady acquisition. 2. *Q2 (Apr–Jun):* A significant contraction in MAU, revenue, and user acquisition, paired with a spike in churn. 3. *H2 (Jul–Dec):*…
Response time: 5089ms · Tokens: 1132
glm-4.7
Based on the data provided, here is an analysis of the key trends, an explanation of the mid-year dip, and actionable recommendations for future growth. ### 1. Key Trends **A. Strong "J-Curve" Recovery in H2** The most prominent trend is the sharp divergence between the first half (Jan-Jun) and the second half (Jul-Dec) of the year. After hitting a low in June/July, the app saw explosive growth in the back half of the year, ending with **+41% higher MAU** and **+52% higher Revenue** compared to January. **B. Churn Reduction Drives Growth** While New User acquisition fluctuated, the single biggest driver of the Q4 turnaround was retention. * Churn hit a dangerous peak of **6.2% in June**. * B…
Response time: 63880ms · Tokens: 2550
mimo-v2.5
Based on your 12-month dataset, here are the key trends, an explanation of the mid-year dip, and actionable recommendations. ### **Key Trends** 1. **Overall Strong Growth:** From January to December, MAU grew by **41%** (45k → 63.5k) and monthly revenue grew by **52%** ($112.5k → $171.45k). This indicates a healthy, expanding user base with improving monetization. 2. **Revenue is Strongly Correlated with MAU and Retention:** Revenue follows the MAU trend closely, but its dips are amplified by the **churn rate**. The most profitable months (Oct, Nov, Dec) also have the **lowest churn** (3.2%-3.8%) and **highest new user acquisition** (10.8k-12.5k). 3. **The "Golden Metric" is Revenue Per User…
Response time: 22396ms · Tokens: 1461
glm-4.7-flash
Based on the data provided, here is an analysis of your app's performance, an explanation of the mid-year downturn, and strategic recommendations. ### 1. Key Trends **Overall Growth Trajectory** Your app is experiencing strong positive growth. From January to December: * **MAU** increased by **41%** (45,000 to 63,500). * **Revenue** increased by **52%** ($112,500 to $171,450). This indicates a healthy increase in both your total user base and the value derived from each user. **Decreasing Churn Rate** There is a significant positive trend in user retention. The **Churn Rate** decreased from **4.5%** in February to a low of **3.2%** in December. A lower churn rate means your existing users ar…
Response time: 44156ms · Tokens: 2514
glm-5.1
Based on the data provided, here is an analysis of your app’s performance over the past 12 months, including an explanation of the Q2 downturn and strategic recommendations. ### 1. Key Trends * **The V-Shaped Recovery:** The year is characterized by a strong Q1, a sharp downturn in Q2, and a massive rebound in Q3/Q4. You finished the year at an all-time high in MAU (63,500) and Revenue ($171,450). * **Hidden ARPU Volatility:** By calculating Average Revenue Per User (ARPU), we uncover a massive hidden trend. ARPU was stable at **$2.50** from Jan–Mar, plummeted to **$2.00** in June, and then surged to a yearly high of **$2.70** in December. The dip and subsequent recovery weren't just about l…
Response time: 25001ms · Tokens: 3076
glm-5.2
Based on the data provided, here is an analysis of your app's key trends, an explanation of the mid-year dip, and actionable recommendations to drive future growth. ### 1. Key Trends * **Strong Overall Growth (The "V-Shape" Recovery):** Despite a mid-year slump, the app finished the year exceptionally strong. December MAU (63,500) grew by **41%** compared to January (45,000), and December Revenue ($171,450) grew by **52%** compared to January ($112,500). * **Q4 is the Golden Quarter:** The period from October to December shows peak performance. Revenue jumped from $123,050 in September to $171,450 in December (+39%), indicating high user willingness to spend during the holiday season. * **Ch…
Response time: 43298ms · Tokens: 2506
gpt-5.6-sol
## Key trends - **Strong full-year growth:** - MAU increased from **45,000 to 63,500**: **+41%**. - Revenue increased from **$112,500 to $171,450**: **+52%**. - **Monetization improved overall:** Revenue per MAU rose from **$2.50 in January** to **$2.70 in December**. - **Two distinct growth periods:** - January–March: MAU, revenue, and new users rose steadily. - July–December: sustained recovery, culminating in record MAU and revenue. - **Retention strengthened materially in the second half:** Churn peaked at **6.2% in June**, then declined every month to **3.2% in December**. - **Acquisition peaked in October:** New users reached **12,500**, then moderated, while MAU continued growing. Thi…
Response time: 27043ms · Tokens: 1471
grok-4.5
**Key Trends** - **Overall growth**: MAU grew from 45,000 (Jan) to 63,500 (Dec), ~41% YoY. Revenue grew from $112,500 to $171,450, ~52% YoY—outpacing MAU growth. - **Strong H2 recovery and acceleration**: After the mid-year dip, MAU and revenue rebounded from July/August, with particularly strong gains in Oct–Dec (MAU +10k, revenue +~$48k from Sep). Q4 shows the highest absolute levels and improving momentum. - **New users and churn inverted relationship**: New users peaked in Mar (11.5k) and Oct (12.5k), bottomed in May–Jun (~5.5–6.2k). Churn was lowest at the start/end of the year (3.2–4.2%) and highest in May–Jun (5.9–6.2%). Growth periods coincide with higher acquisition + lower churn; t…
Response time: 47615ms · Tokens: 2423
inkling
Here is a data-driven analysis of your 12-month performance. --- ### 1. Executive Summary: Key Trends | Metric | Jan | Dec | Change / Trend | | :--- | :--- | :--- | :--- | | **MAU** | 45,000 | 63,500 | **+41.1%**; U-shaped curve with a sharp Q2 trough | | **Revenue** | $112,500 | $171,450 | **+52.4%**; recovered faster than user base | | **ARPU** (Rev/MAU) | $2.50 | $2.70 | **Flat at $2.50 in Q1 → collapsed to $2.00 in Jun → grew to $2.70** | | **New Users** | 8,200 | 10,800 | **Highly volatile**; peaked Mar (11,500) and Oct (12,500); collapsed to 5,500 in Jun | | **Monthly Churn** | 4.2% | 3.2% | **Inversely correlated with revenue**; spiked to 6.2% in Jun, then improved steadily | **The Bi…
Response time: 51654ms · Tokens: 5937
kimi-k2.6
Here is a data-driven analysis of your app’s performance, the drivers behind the mid-year downturn, and a set of actionable recommendations. --- ### 1. Key Trends **Strong Annual Growth Despite Mid-Year Volatility** Your app finished the year in a significantly stronger position than it started. Over the 12-month period, **MAU grew 41%** (from 45,000 to 63,500) and **total revenue increased by 52%** ($112.5K to $171.5K). However, this growth was not linear; it followed a clear **“dip-and-recovery”** pattern. **Revenue Per User (RPU) is a Critical Health Indicator** By calculating Revenue / MAU, a clear monetization trend emerges: * **Q1:** Stable at **~$2.50** * **Q2 (Apr–Jun):** Collapsed t…
Response time: 61066ms · Tokens: 3524
kimi-k3
# Mobile App Performance Analysis ## Key Trends **1. Strong overall year, but V-shaped.** MAU grew 41% (45.0K → 63.5K) and revenue grew 52% ($112.5K → $171.5K), totaling ~$1.49M for the year. However, this masks a significant mid-year contraction: revenue fell 26% from the March peak ($130K) to the June trough ($96K). **2. The hidden story is ARPU (revenue per user).** This is the most important derived metric: - **Q1:** Flat at $2.50 - **Apr–Jun:** Eroded to $2.00 (−20%) - **H2:** Recovered and expanded to $2.70 by December (+35% off trough, +8% above baseline) Revenue fell harder than MAU during the dip because monetization *and* audience shrank simultaneously. Conversely, Q4's strength ca…
Response time: 111239ms · Tokens: 5747
mimo-v2.5-pro
# App Performance Analysis: 12-Month Review ## 1. Key Trends at a Glance Let me surface a few derived metrics that tell a richer story than raw numbers alone: | Metric | Jan–Mar Avg | Apr–Jun Avg | Jul–Dec Avg | Dec vs. Jan | |---|---|---|---|---| | **ARPU** (Revenue ÷ MAU) | $2.50 | $2.12 | $2.40 → $2.70 | **+8.0%** | | **Net User Growth** (New – Churned) | +7,383/mo | −715/mo | +5,925/mo | — | | **Churn Rate** | 4.27% | 5.63% | 4.12% → 3.2% | **−1.0 pp** | ### 📈 Three Dominant Trends **1. A clear V-shaped recovery** MAU, revenue, and new users all follow the same pattern: strong Q1 → sharp Q2 trough → accelerating Q3/Q4 recovery. By December, every single metric is at its 12-month high. *…
Response time: 56231ms · Tokens: 2811
muse-glimmer-30b
**Overall trend: Strong annual growth with a clear Q2 soft spot and a very strong Q4 rebound** * **MAU:** 45,000 in Jan → 63,500 in Dec = +41.1% YoY. Growth was +15.6% Jan-Mar, then -11.1% Apr-Jun, then +32.3% Jul-Dec. * **Revenue:** $112,500 in Jan → $171,450 in Dec = +52.4% YoY. Revenue per MAU started at $2.50 and ended at $2.70. * **Acquisition vs Retention:** New users and churn are inversely correlated with MAU and revenue. New users peaked at 12,500 in Oct, trough at 5,500 in Jun. Churn peaked at 6.2% in Jun and fell steadily to 3.2% in Dec. * **Monetization recovered and improved:** Revenue per MAU was flat at $2.50 Jan-Mar, dropped to $2.00 in Jun, then recovered to $2.70 in Dec. Th…
Response time: 18686ms · Tokens: 2746
minimax-m3
# Mobile App Performance Analysis: 12-Month Review ## 📊 Key Performance Metrics Calculated Before diving in, here are the derived metrics that reveal deeper insights: | Month | MAU | Revenue | ARPU | Net New Users | Churn Count | |-------|-----|---------|------|---------------|-------------| | Jan | 45,000 | $112,500 | $2.50 | +6,310 | 1,890 | | Feb | 47,500 | $118,750 | $2.50 | +6,962 | 2,138 | | Mar | 52,000 | $130,000 | $2.50 | +9,368 | 2,132 | | Apr | 54,000 | $121,500 | $2.25 | +6,208 | 2,592 | | May | 51,000 | $107,100 | $2.10 | +3,191 | 3,009 | | Jun | 48,000 | $96,000 | $2.00 | +2,524 | 2,976 | | Jul | 46,500 | $97,650 | $2.10 | +4,242 | 2,558 | | Aug | 49,000 | $107,800 | $2.20 | +…
Response time: 26953ms · Tokens: 2937
qwen3.6-27b
Here's a thinking process that leads to the suggested analysis and recommendations: 1. **Understand the Goal:** The user wants an analysis of a provided dataset containing monthly mobile app metrics (MAU, Revenue, New Users, Churn Rate) over the last 12 months. The analysis needs to cover: * Key trends. * Explanation for the dip in April-June. * Actionable recommendations. 2. **Analyze the Data (Mental or Scratchpad Walkthrough):** * *January:* Baseline. 45k MAU, $2.50 ARPU (112,500/45,000). Growth is decent. * *February:* Slight increase in MAU (+2.5k). Revenue up. Churn up slightly (4.5%). * *March:* Big jump in MAU (+4.5k), High New Users (11.5k). Revenue up. Churn low (4.1%). * *April:*…
Response time: 67419ms · Tokens: 2847
qwen3.7-max
Based on the data provided, here is a comprehensive analysis of your mobile app’s performance over the past 12 months, including key trends, an investigation into the mid-year slump, and strategic recommendations. ### 1. Key Trends & Hidden Metrics To truly understand the data, we must calculate **ARPU (Average Revenue Per User)**, which reveals the underlying health of your monetization. *(Calculated as Revenue / MAU)*. * **Strong Overall Year-End Growth:** The app finished the year exceptionally well. MAU grew by **41%** (45k to 63.5k) and Revenue grew by **52.4%** ($112.5k to $171.45k) from January to December. * **ARPU Expansion in H2:** This is the most positive trend. In Q1, ARPU was f…
Response time: 60411ms · Tokens: 3356
muse-spark-1.2
### Executive Summary Your app shows **strong overall annual growth - MAU +41% and Revenue +52%** - but with a severe **Q2 slump in April-June** followed by a powerful recovery from July-December. The dip was not just a user drop, it was a triple-threat: **Acquisition collapsed, Churn spiked, and Monetization efficiency fell 20%.** The recovery since August suggests the issue was fixed and monetization is now *stronger* than before. Derived Metric - Revenue per MAU [ARPU] tells the story: | Month | MAU | Revenue | ARPU | New Users | Churn | |-------|--------|-------------|------|-----------|-------| | Jan | 45,000 | $112,500 | **$2.50** | 8,200 | 4.2% | | Feb | 47,500 | $118,750 | **$2.50**…
Response time: 15363ms · Tokens: 2867
gpt-5.6-luna
## Key trends ### 1. Strong overall growth, especially in the second half - MAU increased from **45,000 in January to 63,500 in December**, a **41% increase**. - Revenue rose from **$112,500 to $171,450**, up **52%**. - Growth accelerated after the June low: - MAU: **46,500 in July → 63,500 in December** - Revenue: **$97,650 in July → $171,450 in December** Revenue grew faster than MAU, suggesting improved monetization as well as user growth. ### 2. Revenue per MAU weakened in April–June, then recovered | Period | Revenue per MAU | |---|---:| | Jan–Mar | About $2.50 | | Apr | $2.25 | | May | $2.10 | | Jun | $2.00 | | Dec | $2.70 | Revenue per MAU fell approximately **20% from March to June**…
Response time: 18747ms · Tokens: 2021
grok-4.6
**Key trends:** Overall MAU grew ~41% (45k → 63.5k) and revenue grew ~52% with a clear Q1 peak, Q2 slump, then stronger H2 recovery and acceleration. New-user acquisition was lumpy (peaks in Mar/Oct), while churn worsened in the slump then improved steadily to a year-low 3.2%. ARPU held at $2.50 through March, fell to $2.00 in June, then recovered and exceeded the starting level (~$2.70 in Dec), indicating both volume and monetization recovered. **April–June dip:** MAU still rose slightly in April but revenue and ARPU dropped immediately; then both MAU and new users declined while churn rose from 4.1% to 6.2%. This points to a combination of weaker acquisition (new users fell from 11.5k in M…
Response time: 42714ms · Tokens: 2381
qwen3.8-27b
## Executive summary Over the last 12 months, the app shows **strong overall growth**, but with a clear **April–June dip** that was driven by a combination of: 1. **Lower monetization / ARPU** 2. **Reduced new-user acquisition** 3. **Higher churn** The most important insight is that **revenue moved more than MAU**, meaning monetization quality, not just user growth, is a major driver. By Q4, the business recovered on both sides: more users and higher revenue per user. --- # 1. Key trends ## A. Strong top-line growth | Metric | Jan | Dec | Change | |---|---:|---:|---:| | MAU | 45,000 | 63,500 | **+41.1%** | | Revenue | $112,500 | $171,450 | **+52.4%** | | Revenue per MAU / ARPU | $2.50 | $2.7…
Response time: 202427ms · Tokens: 11756
gemini-3.7-flash
Here is a comprehensive analysis of your app’s performance over the past 12 months, including key trends, a breakdown of the Q2 downturn, and strategic recommendations. --- ### 1. Key Trends Overview * **Strong Net Growth:** Across the full year, **MAU grew by 41.1%** (45k $\to$ 63.5k) and **Monthly Revenue grew by 52.4%** ($112.5k $\to$ $171.45k$). * **ARPU (Average Revenue Per User) Expansion:** * **Q1:** Steady at **$2.50** * **Q2:** Collapsed to a low of **$2.00** in June * **H2 (Recovery):** Climbed steadily to a high of **$2.70** by December. * **Churn & Acquisition Inversion:** Churn rate and new user acquisition moved inversely. When acquisition was high (Q1, Q4), churn hit annual lo…
Response time: 15334ms · Tokens: 2109
solar-pro4
Based on the data provided, here is an analysis of your app's performance over the past 12 months, including an investigation into the mid-year slump and strategic recommendations. ### 1. Key Trends **A. Strong Annual Growth Trajectory** Despite the mid-year volatility, the app ended the year in a strong position. * **MAU Growth:** Grew from 45,000 (Jan) to 63,500 (Dec), a **41% increase** year-over-year. * **Revenue Growth:** Grew from $112,500 (Jan) to $171,450 (Dec), a **52% increase**. * **Revenue per User (ARPU):** ARPU fluctuated but ended higher. Jan ARPU was $2.50; Dec ARPU was $2.70. This indicates that later in the year, you were monetizing users more effectively than at the start.…
Response time: 34406ms · Tokens: 1433
glm-5.3-flash
# Analysis of 12-Month Performance ## Key Trends **1. Overall growth with a mid-year dip** - MAU grew from 45,000 → 63,500 (+41% YoY), but the path wasn't linear — a clear dip from May–July before strong H2 recovery. - Revenue grew from $112.5K → $171.45K (+52%), outpacing user growth — a healthy sign of monetization improving. **2. ARPU tells the real story** | Period | ARPU | |---|---| | Jan–Mar | $2.50 | | Apr | $2.25 | | May | $2.10 | | Jun | $2.00 | | Jul | $2.10 | | Aug–Dec | $2.20 → $2.70 | Revenue dipped *faster and deeper* than users — the Apr–Jun problem was **monetization, not just engagement**. ARPU recovered and exceeded prior levels by Q4. **3. Churn correlates tightly with rev…
Response time: 22398ms · Tokens: 948
qwen3.8-2.4t-a95b
## Executive summary Over the full 12 months, the app shows **strong overall growth**: - **MAU grew from 45,000 in Jan to 63,500 in Dec: +41.1%** - **Revenue grew from $112,500 to $171,450: +52.4%** - **Revenue per MAU / ARPU improved from $2.50 to $2.70: +8.0%** However, growth was not smooth. The **April–June dip** was caused by a combination of: 1. **Sharp decline in new-user acquisition** 2. **Rising churn** 3. **Lower monetization per active user** The most important warning sign was **April**, where MAU increased but revenue declined. That indicates the problem started as a **monetization/engagement issue**, then compounded into a **user-base contraction** in May and June. --- ## Deriv…
Response time: 106339ms · Tokens: 19386
anthropic-claude-fable-5-1
# Executive Summary Your app had a strong year on paper (MAU +41%, revenue +52%), but the year really contains two different stories: a sharp Q2 contraction that erased Q1 gains, followed by a strong H2 recovery. The most important finding is that **the April–June dip started as a monetization problem, not a user problem** — ARPU fell before MAU did. Understanding what changed in April is the key to knowing whether the Q4 momentum is durable. --- ## 1. Key Trends ### Derived metrics (the table hides the real story) | Month | MAU | Revenue | **ARPU** | New Users | Churn | MAU Δ | |---|---|---|---|---|---|---| | Jan | 45,000 | 112,500 | **$2.50** | 8,200 | 4.2% | — | | Feb | 47,500 | 118,750 |…
Response time: 69603ms · Tokens: 4961
muse-spark-1.3
Here is a breakdown of what your last 12 months are really telling you: ### 1. Key Trends at a Glance **Overall: Strong growth despite a mid-year setback** * MAU: 45,000 (Jan) -> 63,500 (Dec) = **+41% YoY** * Revenue: $112,500 (Jan) -> $171,450 (Dec) = **+52% YoY** * Total year revenue: ~$1.49M Revenue grew faster than users, which means you're not just growing, you're monetizing better by year-end. **The 3 phases are clear:** 1. **Jan - Mar: Healthy Expansion:** MAU, Revenue, and New Users all up. Churn stable at 4.1-4.5%. 2. **Apr - Jul: The Dip:** MAU fell 13.9% from its April peak (54,000 to 46,500). Revenue fell much harder: 26% from its March peak ($130,000 to $96,000). 3. **Aug - Dec:…
Response time: 40179ms · Tokens: 3346
gpt-6-astra
## 1. Key trends The app ends the year substantially stronger, but growth was interrupted by a midyear decline in both engagement and monetization. | Metric | January → December | Interpretation | |---|---:|---| | MAU | 45,000 → 63,500 (**+41.1%**) | Strong growth in active audience | | Revenue | $112,500 → $171,450 (**+52.4%**) | Revenue grew faster than MAU | | Revenue per MAU* | $2.50 → $2.70 (**+8.0%**) | Improved monetization by year-end | | New users | 8,200 → 10,800 (**+31.7%**) | Higher acquisition, although October was the peak | | Churn rate | 4.2% → 3.2% (**−1.0 percentage point**) | Reported retention improved | *Revenue per MAU = monthly revenue ÷ MAU; it is not revenue per payi…
Response time: 22207ms · Tokens: 1220
mercury-2.5
### Key Trends * **Overall Growth:** MAU and revenue expanded significantly over the year, rising from 45,000 to 63,500 and $112,500 to $171,450, respectively. * **Retention Improvement:** Churn rates trended downward in the second half of the year, dropping from a peak of 6.2% in June to 3.2% in December. * **Acquisition Momentum:** New user acquisition accelerated in Q4, reaching highs of 12,500 in October. ### Analysis of the April–June Dip The contraction during Q2 resulted from a combination of reduced inflow and increased outflow: 1. **Lower Acquisition:** New user signups fell steadily from 8,800 in April to 5,500 in June. 2. **Higher Attrition:** Churn rates climbed from 4.8% to 6.2%…
Response time: 2929ms · Tokens: 1865
nex-n2.5-mini-free
## Key trends 1. **Strong overall growth** - MAU rose from **45,000 in Jan** to **63,500 in Dec**, up **41%**. - Revenue rose from **$112,500** to **$171,450**, up **52%**. - Q4 was the strongest quarter: MAU averaged about **61.7k** and revenue averaged about **$158k/month**. 2. **Clear dip from April to June** - MAU peaked at **54,000 in April**, then fell to **48,000 in June**. - Revenue fell from **$121,500 in April** to **$96,000 in June**. - This was the weakest revenue period after March. 3. **New user growth weakened sharply** - New users dropped from **11,500 in March** to **5,500 in June**, a decline of about **52%**. - June had the lowest new-user count of the year. 4. **Churn wor…
Response time: 23817ms · Tokens: 4969
deepseek-v4.1-flash
## Key trends - **Overall growth is strong.** MAU grew from **45,000 → 63,500 (+41%)** and revenue from **$112,500 → $171,450 (+52%)**. - **Revenue grew faster than MAU in H2** because revenue per MAU recovered: **$2.50 Jan–Mar → $2.00 Jun → $2.70 Dec**. - **Churn is the main swing factor.** Churn rose from **4.2% Jan to 6.2% Jun**, then fell steadily to **3.2% Dec**. Growth accelerated as churn improved. - **Acquisition is lumpy.** New users peaked in **Mar (11,500)** and **Oct (12,500)**, but bottomed in **Jun (5,500)**. Q4 acquisition stayed strong at 10,800–12,500/month. - **The Apr–Jun dip was not just a MAU problem.** Q2 average MAU was ~51k vs Q1 ~48k, yet Q2 revenue was **$324.6k vs…
Response time: 40579ms · Tokens: 6768