Prosecution Insights
Prosecution Insights
10 pending office actions • 5 art units • 8 examiners • 0 of 10 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 4 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 3 (30%) |
| §101 + other | 5 (50%) |
| §103 only | 1 (10%) |
| Multi-statute (no §101) | 1 (10%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| LONG, MEREDITH A | 2 | 43.4% | +22.0% |
| POUNCIL, DARNELL A | 2 | 21.3% | +30.6% |
| PATEL, DIPEN M | 1 | 20.2% | +24.1% |
| SNIDER, SCOTT | 1 | 28.7% | +18.0% |
| HONG, DUNG | 1 | 83.7% | +14.3% |
| HENRY, MATTHEW D | 1 | 30.0% | +20.5% |
| SINGH, GURKANWALJIT | 1 | 61.3% | +26.6% |
| ANDREI, RADU | 1 | 36.8% | +20.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18368894 | APPARATUS, SYSTEMS, AND METHODS FOR ANALYZING MOVEMENTS OF TARGET ENTITIES | HONG, DUNG | 140d overdue |
| 18635691 | DETERMINING EXPOSURES TO CONTENT PRESENTED BY PHYSICAL OBJECTS | LONG, MEREDITH A | 89d overdue |
| 16841121 | TASTE EXTRACTION CURATION AND TAGGING | SINGH, GURKANWALJIT | 45d overdue |
| 18132161 | DETERMINING TARGETING INFORMATION BASED ON A PREDICTIVE TARGETING MODEL | LONG, MEREDITH A | 63d |
| 19358105 | DATA ATTRIBUTION PIPELINE | PATEL, DIPEN M | — |
| 18502716 | Automated Attribution Modeling and Measurement | SNIDER, SCOTT | — |
| 17935828 | MATCHING USER INFORMATION BETWEEN DATA SETS, WHILE PRESERVING DATA PRIVACY | HENRY, MATTHEW D | — |
| 16405481 | VISIT PREDICTION | ANDREI, RADU | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18368894 | APPARATUS, SYSTEMS, AND METHODS FOR ANALYZING MOVEMENTS OF TARGET ENTITIES | HONG, DUNG | 140d overdue |
| 18635691 | DETERMINING EXPOSURES TO CONTENT PRESENTED BY PHYSICAL OBJECTS | LONG, MEREDITH A | 89d overdue |
| 16841121 | TASTE EXTRACTION CURATION AND TAGGING | SINGH, GURKANWALJIT | 45d overdue |
| 18132161 | DETERMINING TARGETING INFORMATION BASED ON A PREDICTIVE TARGETING MODEL | LONG, MEREDITH A | 63d |
| 19358105 | DATA ATTRIBUTION PIPELINE | PATEL, DIPEN M | — |
| 18502716 | Automated Attribution Modeling and Measurement | SNIDER, SCOTT | — |
| 17935828 | MATCHING USER INFORMATION BETWEEN DATA SETS, WHILE PRESERVING DATA PRIVACY | HENRY, MATTHEW D | — |
| 16405481 | VISIT PREDICTION | ANDREI, RADU | — |
| Art Unit | Apps |
|---|---|
| 3622 | 4 |
| 3621 | 2 |
| 3625 | 2 |
| 2643 | 1 |
| 3698 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19358105 | DATA ATTRIBUTION PIPELINE | PATEL, DIPEN M | 3621 | §101§103 | Non-Final OA | — | Pending | Oct 14, 2025 |
| 18635691 | DETERMINING EXPOSURES TO CONTENT PRESENTED BY PHYSICAL OBJECTS | LONG, MEREDITH A | 3622 | §101§103DP | Non-Final OA | 89d overdue | Pending | Apr 15, 2024 |
| 18502716 | Automated Attribution Modeling and Measurement | SNIDER, SCOTT | 3621 | §101§103Other | Final Rejection | — | Pending | Nov 06, 2023 |
| 18368894 | APPARATUS, SYSTEMS, AND METHODS FOR ANALYZING MOVEMENTS OF TARGET ENTITIES | HONG, DUNG | 2643 | §102§103 | Final Rejection | 140d overdue | Pending | Sep 15, 2023 |
| 18132161 | DETERMINING TARGETING INFORMATION BASED ON A PREDICTIVE TARGETING MODEL | LONG, MEREDITH A | 3622 | §101Other | Non-Final OA | 63d | Pending | Apr 07, 2023 |
| 17935828 | MATCHING USER INFORMATION BETWEEN DATA SETS, WHILE PRESERVING DATA PRIVACY | HENRY, MATTHEW D | 3625 | §101 | Final Rejection | — | Pending | Sep 27, 2022 |
| 16841121 | TASTE EXTRACTION CURATION AND TAGGING | SINGH, GURKANWALJIT | 3625 | §101 | Non-Final OA | 45d overdue | Pending | Apr 06, 2020 |
| 16405481 | VISIT PREDICTION | ANDREI, RADU | 3698 | §101§103§112 | Non-Final OA | — | Pending | May 07, 2019 |
| 13974708 | SYSTEM AND METHOD FOR CONTEXTUAL MESSAGING IN A LOCATION-BASED NETWORK | POUNCIL, DARNELL A | 3622 | §103 | Final Rejection | — | Pending | Aug 23, 2013 |
| 13949465 | SYSTEM AND METHOD FOR PROMOTING ITEMS WITHIN A LOCATION-BASED SERVICE | POUNCIL, DARNELL A | 3622 | §101§103 | Final Rejection | — | Pending | Jul 24, 2013 |
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