How We Test Data Removal Services

TL;DR: We build one controlled test identity, document every data broker and people-search site it appears on (the baseline exposure count), then subscribe to each service and re-check the exact same brokers at 30, 60 and 90 days. We measure the verified removal rate and how many listings reappear. That field data is blended with the 2024 Consumer Reports study into a single Removal Score and a letter grade. Affiliate commissions never move a score. EasyOptOuts pays us nothing and still ranks second on our list, because it earned it on removals.

Why a benchmark, not a feature checklist

Most data-removal roundups rank services by how many brokers a company claims to cover, the size of the marketing page, or, honestly, how much the company pays per signup. None of that tells you whether your name actually comes off Whitepages, Spokeo, BeenVerified or the dozens of smaller aggregators that feed them.

The only honest test is outcome-based. So we treat a data-removal subscription like any other product on a test bench: define a measurable result (listings removed), hold the conditions constant, run every service against the same target, and re-measure over time. We are Dana Whitfield and the team behind The Removal Lab, and this is the protocol every verdict on the site rests on.

The grounding number we keep coming back to is the 2024 Consumer Reports study: across paid services, only about 35% of listings were removed on average within four months, and plain DIY opt-outs beat several paid tools. The top performers were Optery at roughly 68% and EasyOptOuts at roughly 65%, with Incogni and DeleteMe landing mid-pack. That study is why we never assume a paid service works. We make it prove it.

Step 1: We build a controlled test identity

You cannot measure removal without a clean, traceable target. So we construct a synthetic but realistic US identity: a consistent full name, a date of birth, a current address and two prior addresses, a phone number, and an email. The identity is deliberately ordinary, the kind of profile brokers index heavily, and it is held constant across every service we test so the comparison is apples to apples.

We never use a real person's data, and we never feed brokers more information than they already aggregate. The test identity exists only inside the benchmark.

Step 2: We document the baseline exposure count

Before any service touches the identity, we hand-search a fixed panel of the largest US data brokers and people-search sites and record exactly where the identity appears. This is the baseline exposure count, the denominator for everything that follows.

Our panel includes the high-traffic people-search names most users actually find themselves on (Whitepages, Spokeo, BeenVerified, Intelius, TruePeopleSearch, Radaris and similar) plus a rotating set of secondary aggregators. We log the listing URL, what fields are exposed (address history, relatives, phone), and the date. If a service claims a removal later, we go back to that same URL and verify with our own eyes. A claim in a dashboard is not a removal.

Step 3: We subscribe and re-check at 30, 60 and 90 days

We pay for each service like a normal customer, no press accounts, no comped plans, and submit the identical test identity. Then we wait and re-check the same baseline brokers at three checkpoints:

• Day 30: early signal. Fast services (Optery, EasyOptOuts) usually show real removals here. Slow ones show mostly "in progress."
• Day 60: the meaningful read. Most legitimate opt-out requests clear within 4 to 6 weeks, so this is where the verified removal rate stabilizes.
• Day 90: durability and reappearance. We re-check every broker that was removed earlier, because listings frequently come back when brokers re-scrape public records. A service that removes fast but lets listings reappear scores worse than its day-30 number suggests.

The headline field metric is the verified removal rate: brokers confirmed gone by us, divided by the baseline exposure count. We track reappearance as a separate penalty so a service cannot hide churn behind a good first month.

How the Removal Score and letter grades work

The Removal Score is a 0 to 100 composite. It is weighted toward what we can verify ourselves, with the published research as a stabilizing second source so a single test run cannot swing a grade unfairly.

Price is not in the score. We report it plainly in every review and on our cheapest-service breakdown, but a cheap service that does not remove your data is not a bargain, and an expensive one that does is not automatically the winner.

You can see how individual services land in our 2026 ranked benchmark, including the Optery and EasyOptOuts reviews that consistently top our chart.

Our independence: commissions never change a score

FTC disclosure: some links on this site, such as /go/optery, /go/incogni and /go/deleteme, are affiliate links. If you buy through them we may earn a commission. It does not change what we score or how we rank.

Here is the proof, not just the promise. EasyOptOuts has no affiliate program. It pays us nothing. We still rank it second, because in both our re-checks and the Consumer Reports data it removes listings at one of the highest rates of any service, and it does it for about $20 a year. When we send you there, we link plainly to easyoptouts.com and earn zero.

Meanwhile, two of our most lucrative affiliate partners, Incogni and DeleteMe, land mid-pack in our grades because that is where their measured removal rate puts them. If commissions drove the rankings, they would be at the top. They are not. Read the Incogni and DeleteMe reviews, then the head-to-head at Incogni vs DeleteMe, and you can check our work.

When free DIY is enough, and how often we update

We will tell you when you do not need to pay anyone. If your exposure is concentrated on five or six big people-search sites, you can opt out yourself in an afternoon, and the Consumer Reports study found DIY beat several paid tools. We lay out exactly when that makes sense in free vs paid data removal and are data removal services worth it. Paid services mainly buy you continuous monitoring and breadth, not magic.

Update cadence: we re-run the full 30/60/90 benchmark on the major services at least twice a year, and we re-check immediately when a service changes its broker list, its pricing, or its removal process. Prices and removal rates in our reviews carry the date we last verified them. When a number changes, the grade changes with it. This page itself is reviewed every benchmark cycle so the protocol you read here is the protocol we actually ran.