Instacart shoppers cleared $24/hour last month — here's what the top quartile is doing differently

The most-quoted earnings number from Instacart this spring is $24 an hour — the platform-reported median for active full-service shoppers in the most recent four-week window. That number is real, in the sense that it’s calculated honestly, but it conceals a spread that matters more than the headline. The 25th-percentile shopper is making about $16. The 75th percentile is making about $32. The work is the same. The shoppers are not.

We spent the last six weeks talking to shoppers in three markets — Austin, Denver, and metro Boston — about what separates the top quartile from the bottom. Four patterns came up consistently.

Batch selection discipline. Top-quartile shoppers reject more batches than they accept. The pattern is to wait for batches with a high effective-per-hour rate (calculated from estimated time including travel, not just shop time) rather than taking the first batch offered. Acceptance rates among the top quartile are running in the 20-40% range, not the 80-90% range that the bottom quartile defaults to. The platform does not penalize low acceptance the way Uber does, which is the structural fact that makes this strategy work.

Single-store focus during peak. The top quartile picks one or two stores they know cold — store layout, where the produce code stickers are, which manager is on which shift — and clusters their batches there. Walking to the dairy aisle on autopilot beats walking to it via map every time, and across 30-40 hours a week the time savings compound to a full extra batch per shift.

Multi-apping during off-peak only. The top earners are running a second app (usually DoorDash or Shipt) only in the gaps when Instacart batches are thin. They’re not running both simultaneously and they’re not splitting attention during the peak hours when Instacart pays best. The bottom quartile is more likely to be juggling three apps continuously and getting suboptimal batches from all of them.

Pickup over delivery on the long-tail customers. Several top-quartile shoppers told us they’ve started declining delivery batches with low tips or addresses that historically tip poorly, and instead taking the lower-paying pickup-only batches that get them back in queue faster. The math works out because the pickup batches stack predictably and the variance is lower.

None of these are secrets. The platform-level economics of full-service shopping have always rewarded selection over volume. What the top quartile is doing differently is taking that seriously enough to leave money on the table in the short term to make more in aggregate.

We’ll have the Q2 platform data in mid-July.