Retirement Planning Software Reviews: An Honest DIY Look

Most retirement planning software reviews rank tools by features and price. Very few ask the question you actually care about: when a tool says your plan has an 85% chance of success, does that number mean anything?

Here's the short answer. For a traditional US retirement with linked accounts and some guidance, reviewers mostly recommend Boldin. For early retirement, living outside the US, or keeping your accounts unlinked, they recommend ProjectionLab. For the most detailed tax modeling, they recommend Pralana. That's the consensus, and it's useful as far as it goes.

A feature list can't tell you whether the engine underneath is any good, though. This guide covers both: what the reviews say, and what to check that they don't.

The short version: what reviewers agree on

Sources: Boldin PlannerPlus review at retirementplanningtools.net, firenum's October 2026 planner comparison, MoneyGuide reviews on G2.

Look at the price column. One product has three different prices depending on who you read. That's the first sign that page one is less settled than it looks. Check the vendor's own pricing page before you trust any roundup, including this one. This article is dated November 2026.

Why most retirement planning software reviews miss the point

Look at who's writing them.

• Vendors. Boldin ranks for this search with its own comparison pages, such as Boldin and 13 others. Quicken publishes its own roundup.
• Affiliates and AI-generated lists. Some top results label their rankings "AI-verified." Others are thin pages that look generated.
• Old content. Some well-ranked reviews are from the early-to-mid 2010s. The tools have changed a lot since then.

That doesn't make any of them wrong. It means you should know the angle. Some roundups do real work. Moneywise says it reviewed more than 300 tools for its free-tools list, last updated in February 2026.

The bigger problem is what the reviews measure. They compare features: Roth conversion modeling, IRMAA projections (the Medicare surcharge charged to higher-income retirees), the order you withdraw from accounts, scenario tools, AI assistants. Those features matter. But almost none of the reviews ask whether the tool's central output, the success rate, is any good.

What a "success rate" actually means

Most of these tools use Monte Carlo simulation. In plain terms, the tool runs your plan through a large number of randomly generated market futures: some good years, some bad years, in different orders. Then it counts how many of those futures still have money left at the end.

If 870 out of 1,000 futures stay funded, your success rate is 87%.

This approach is more honest than a single average-return projection, because real markets don't deliver the average every year. A crash in your first years of retirement does far more damage than the same crash twenty years in. Monte Carlo is built to capture that.

Morningstar uses the same kind of test. Its 2025 research puts the safe starting withdrawal rate at 3.9% for a 30-year retirement. "Safe" there means the money is still there in 90% of simulated outcomes, not that it holds up under an average return. (Source: Morningstar, The State of Retirement Income 2025, Dec 2025.)

Two caveats apply to every tool:

1. A success rate measures whether the portfolio lasts. It doesn't measure how well you live. A future that ends with $1 left counts the same as one that ends with $1 million.
2. It's the model's probability, not yours. Still River, another software vendor, argued that Monte Carlo success rates show the likelihood of the model coming out OK, not a retiree's real-world chance of running out of money (CS Monitor).

So treat the number as a probability, not a promise. That holds for every tool, including ours.

More simulations isn't the same as better simulations

Reviews often count simulation runs: 10,000 beats 1,000. It sounds sensible. More runs do smooth out random noise in the estimate.

But more runs can't fix a bad input. If the assumptions about future returns are off, 10,000 runs give you a very precise wrong answer.

The research agrees:

• Assumptions drive the result. Researchers David Blanchett... no, Young and Pfau found that success probabilities and "safe" withdrawal rates depend heavily on how accurate the expected-return assumptions are. They also found that Monte Carlo can produce a wide range of safe withdrawal rates (PlanSponsor).
• Method matters. An analysis published by Kitces with Income Lab compared Monte Carlo forecasts with real retiree outcomes and found they were significantly wrong. The traditional approach, which uses one fixed set of return assumptions for the whole plan, was among the most error-prone. Historical and regime-based models did better. Keep in mind that Income Lab sells those alternative methods.

The practical takeaway: when you compare tools, don't ask "how many runs?" Ask "what does it assume, and can I see and change it?"

To be clear, we run 1,000 futures. We'd rather you judge us on our assumptions than on the run count.

Seven things to test before you pay for any tool

Use this checklist on any product you're considering.

1. How far does the plan run?

According to Social Security's planning guidance, about one in three 65-year-olds may live to at least 90. A plan that stops at 85 quietly bets against a third of retirees. Check the default end age. (Source: Social Security Administration, Retirement Information for Medicare Beneficiaries, 2026.)

2. How does it handle health care?

Fidelity estimates that a 65-year-old retiring in 2025 will spend $172,500 on Medicare premiums, deductibles, and prescriptions over retirement. That figure leaves out long-term care entirely. (Source: Fidelity Investments, 2025 Retiree Health Care Cost Estimate, Jul 2025.) Find out whether the tool uses one flat guess or models premiums and income-based surcharges year by year.

3. What withdrawal rate does it treat as safe?

Compare the tool's answer with Morningstar's 3.9% benchmark. A higher number isn't automatically wrong. But if a tool tells you a much higher rate is comfortably safe, find out which assumptions make that work.

4. Can you see the return assumptions?

Given the research above, this may be the most important item on the list, and no roundup checks it. If you can't see what the tool assumes about returns and inflation, you can't judge its success rate.

5. Do you have to link your accounts?

Some people want automatic syncing. Others don't want a planning tool holding their bank logins. Reviewers often say this is the deciding factor between Boldin and ProjectionLab.

6. Web or app?

Money Digest's ranking of retirement planning apps found mixed mobile reviews, including reports of crashes. It also notes that Schwab's best planning tool is on its website, not in its app.

7. Can you get started with the numbers you already have?

EBRI's 2025 Retirement Confidence Survey found that only 52% of workers have estimated the monthly income they'll need in retirement. The other 48% are guessing. (Source: EBRI/Greenwald, Retirement Confidence Survey 2025, Fact Sheet 3.) A tool that needs fifty inputs before it gives you an answer may never get used.

One more tip: enter the same household into two or three tools. If the success rates are far apart, the tools are making different assumptions, and that's what you should look into.

Where Monte Climb fits

Here's what Monte Climb's retirement calculator does, without the sales pitch.

Three numbers: your age, what you've saved for retirement, and what you spend each month. We run them through 1,000 simulated futures, the same engine behind the app, and return one answer: how many of those futures stay funded.

A few design choices follow from the research above:

• Plans run to age 95 by default, and you can extend them, because of the SSA longevity data.
• Health care is a line item. The engine charges Medicare premiums and income-based surcharges year by year instead of using a flat guess.
• It runs in your browser. Nothing is saved until you say so.
• You can ask William, our AI planner, follow-up questions such as "Am I on track?", "Can I retire at 62?", or "What's a sustainable spend?" Talk to him like you would a friend.

A 7-day trial costs $1. It's planning software, not advice.

What it isn't: if your top priority is the most detailed tax modeling available, the reviews above point to Pralana. Pick the tool that answers the question you actually have.

The bottom line

Feature-by-feature reviews are useful for narrowing your list. They won't tell you which success rate to trust. For that, check the assumptions, the time horizon, the health care modeling, and whether the answer is a probability or a single average projection.

Then try it with your own numbers. Three numbers is enough to start.

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Frequently asked questions

What is the best retirement planning software for DIY planners?

It depends on your situation. Reviewers generally recommend Boldin for a traditional US retirement with linked accounts, ProjectionLab for early retirement, non-US users, or anyone who doesn't want to link accounts, and Pralana for the most detailed tax modeling. Whichever you consider, check whether you can see and change its return assumptions.

Is paid retirement planning software worth it compared with free tools?

Paid tools usually add more detailed modeling, such as Roth conversions, Medicare surcharges, and withdrawal order. Whether that's worth it depends on how complicated your situation is. Reported prices for the same product differ between review sites, so check the vendor's own pricing page.

How accurate are Monte Carlo retirement calculators?

They're only as good as their assumptions. Research from Young and Pfau found that success rates depend heavily on expected-return assumptions. An analysis from Kitces and Income Lab found that forecasts using one fixed set of assumptions were among the most error-prone when checked against real retiree outcomes.

What does a retirement plan's success rate actually mean?

It's the share of simulated market futures in which your money lasts to the end of the plan. For example, 870 of 1,000 futures staying funded gives an 87% success rate. It doesn't measure how comfortably you live, and it's the model's probability, not a guarantee about your real outcome.

Do I need to link my bank accounts to use retirement planning software?

No. Some tools are built around account linking and some work without it. If privacy matters to you, choose a tool that lets you enter your own numbers manually, or one that runs in your browser and doesn't save your data unless you choose to.