# Do LinkedIn ads work? A decision table

7 checks for your deal size, audience, budget and patience, with the public return data and the payback math behind them.

*By Stan Rymkiewicz, maintainer of adwarp. Updated November 7, 2026.*

LinkedIn ads work when 1 customer is worth more than LinkedIn charges to win one, and in [Metadata's 2025 data from 153 advertisers](https://metadata.io/benchmark-report-2026) that cost was 31,000 USD for a customer at a small company and 78,000 to 103,000 USD at enterprise and mid-market companies. They also need an audience of at least 300 members, which is [the smallest LinkedIn will serve](https://www.linkedin.com/help/lms/answer/a423690), plus a budget that reaches each member 1 to 8 times a month and a measurement window longer than the sales cycle.

*Updated 2026-11-07. Every figure names its source and the year of its data.*

## Do LinkedIn ads work? The decision table

Put your own numbers into each row and read across to the column they land in.

*Fig. 01: Each row of the decision table as its own picture, with the value that puts it in Works, from payback inside 12 months to pipeline counted in the CRM.*

| Check | Works | Borderline | Fix first | Source |
| --- | --- | --- | --- | --- |
| Months to pay back 1 customer (cost per customer / monthly gross margin per customer) | 12 or fewer | 13 to 24 | Over 24 | [Metadata](https://metadata.io/benchmark-report-2026), 2025 cost per customer: 31,000 USD small company, 78,000 USD enterprise, 103,000 USD mid-market. Month bands are Adwarp's starting values |
| Buyer | Named by job function, seniority and company | A mix of business and consumer buyers | Consumers | [LinkedIn Help a424655](https://www.linkedin.com/help/lms/answer/a424655) |
| Audience you can target | 50,000 or more for prospecting by role | 300 to 50,000: account lists and retargeting only | Under 300: LinkedIn won't serve it | [LinkedIn Help a423690](https://www.linkedin.com/help/lms/answer/a423690) |
| Impressions per member a month (budget / cost per 1,000 x 1,000 / audience) | 1 to 8 | Under 1 | Over 8 | Formula. Bands are Adwarp's starting values ([linkedin-audience-sizing](https://adwarp.dev/docs/skills/linkedin-audience-sizing)) |
| Budget per ad set | 10 USD a day or more, and each ad reaches about 1,000 impressions or 3 conversions in the window | The floor is met, the judgment floor isn't | Under 10 USD a day | [LinkedIn's budget page](https://business.linkedin.com/advertise/ads/best-practices/maximize-your-budget), Adwarp's [judgment floor](https://adwarp.dev/docs/skills/linkedin-ads-performance-review) |
| Time you can wait | Longer than your sales cycle | 1 quarter | 30 days | [Dreamdata 2026](https://www.prnewswire.co.uk/news-releases/dreamdata-linkedin-ads-benchmarks-report-2026-linkedin-outperforms-all-platforms-delivering-positive-return-on-ad-spend-302709177.html) (272-day journey), [Ehrenberg-Bass](https://marketingscience.info/the-955-rule-is-the-new-6040-rule) (about 5% in market) |
| Measurement | Pipeline and revenue by ad set in your customer relationship management system (CRM) | Lead form fills | Clicks and click-through rate | [ZenABM 2026](https://zenabm.com/blog/linkedin-ads-ctr-benchmarks) (a correlation of -0.170 between click-through rate and pipeline) |

Any row in the Fix first column is the thing to fix before you spend more.

*Fig. 02: In this sample reading, 5 rows land in Works and the audience is borderline, but the company measures on clicks, and that orange row is the one to fix before it spends more.*

The month bands follow annual contracts. At 12 months or fewer, a customer on a 1-year contract earns back what it cost to win before it comes up for renewal. Past 24, it has to renew twice before LinkedIn's share is back.

If an opportunity in the CRM can't be traced back to the ad set that started it, the last row stays in Fix first no matter how the other 6 look.

## What public data says about LinkedIn ad returns

5 public reports put a number on LinkedIn ad performance. No 2 of them count the same thing, so the table says what each one measures.

| Source and date | Sample | Measures | LinkedIn figure |
| --- | --- | --- | --- |
| [Dreamdata LinkedIn Ads Benchmarks Report 2026](https://www.prnewswire.co.uk/news-releases/dreamdata-linkedin-ads-benchmarks-report-2026-linkedin-outperforms-all-platforms-delivering-positive-return-on-ad-spend-302709177.html), 2026-03-10 | Thousands of Dreamdata customers, 66 million sessions, 3.5 million journeys | Closed-won revenue, data-driven attribution, 12 months | 121% return on ad spend (Google Search 67%, Meta 51%) |
| [Metadata 2026 B2B Paid Media Benchmark Report](https://metadata.io/benchmark-report-2026), updated 2026-09-16 | 153 advertisers, 57.6 million USD, 2025 | Sourced pipeline per 1 USD of lead-gen spend | 10.20 USD (all channels 7.97 USD) |
| [ZenABM LinkedIn ABM 2026 report](https://zenabm.com/blog/linkedin-abm-performance-benchmarks-report-2026), updated 2026-01-15 | 211 companies, 5.54 million USD, 2025 | Influenced pipeline and revenue, accounts with 3 or more impressions | 5.21 USD pipeline per 1 USD and 1.62 return on ad spend (medians); top quarter 15.20 USD and 2.79 |
| [HockeyStack Labs 2025 report](https://www.hockeystack.com/lab-blog-posts/linkedin-ads-benchmarks), no fixed publish date, data 2023 to 2024 | More than 70 business software companies, 28 million USD | Days from lead to sales-qualified opportunity | 24 days |
| [WebFX survey](https://www.webfx.com/social-media/pricing/how-much-does-linkedin-advertising-cost/), updated 2026-05-26 | US marketers, self-reported | Satisfaction | 57% satisfied with their LinkedIn ad return |

*Fig. 03: In Dreamdata's 2026 report LinkedIn returned 121% of its spend over 12 months, against 67% for Google Search and 51% for Meta, and it was the only platform above break-even.*

Dreamdata and Metadata both compare channels, and LinkedIn comes out ahead in each: above Google Search and Meta in one, above the all-channel average in the other. The 2 that measure time explain why a short test misses most of it. HockeyStack counted 24 days from lead to sales-qualified opportunity, and Dreamdata's buyer journey stretched to 272 days in its 2026 report, up from 211.

*Fig. 04: A 30-day read covers HockeyStack's 24 days from lead to sales-qualified opportunity, but only the first 30 of the 272 days in Dreamdata's 2026 buyer journey.*

### Why the return figures disagree

Metadata's 10.20 USD is sourced pipeline, the opportunities lead-gen ads started, divided by that spend. It comes from the 90 of Metadata's 153 advertisers that connected a CRM, a smaller group than the one behind its cost per lead. ZenABM's 5.21 USD is a looser credit from a different kind of program: any pipeline at a target account that saw 3 or more impressions from an account-based campaign. Dreamdata's 121% counts closed revenue instead, deals won within 12 months, each split across every touch by a data-driven model.

Keep in mind who published them. All 3 sell measurement or account-based tools, and Dreamdata describes itself as a LinkedIn Marketing Partner. Metadata's 153 advertisers ran their paid media through Metadata's product and Dreamdata's data comes from its own customers, so both samples are companies already paying to trace pipeline back to ads.

The figures also clash with pages that rank for this question, and with each other:

| Figure | 1 source says | Another says | Reason |
| --- | --- | --- | --- |
| Cost per lead | 30 to 80 USD ([Resonate](https://www.resonatehq.com/blog/pros-and-cons-of-linkedin-advertising), 2026-01-31) | 202 USD, and 376 USD for the middle of the market ([Metadata](https://metadata.io/benchmark-report-2026), 2025) | Resonate gives no source or sample |
| Return on ad spend | 4.1 to 8.3x ([Stackmatix cost guide](https://www.stackmatix.com/blog/linkedin-ads-cost), checked 2026-11-07) | 1.21x (Dreamdata, 2026), 1.62 median (ZenABM, 2025) | An unsourced claim against 2 attribution models |
| Pipeline per 1 USD | 10.20 USD sourced (Metadata, 2025) | 5.21 USD influenced (ZenABM median, 2025) | Lead-gen spend and sourced pipeline against account-based programs and influenced pipeline |

## A worked payback example

The formula is payback months = cost per customer / monthly gross margin per customer. Below, the contract and margin are made-up example inputs, and the cost per customer is Metadata's 2025 LinkedIn figure, split by the size of the company that bought.

*Fig. 05: Metadata's 2025 cost per customer peaks in the middle, at 103,000 USD for mid-market against 31,000 USD for small companies and 78,000 USD for enterprise.*

Take a 40,000 USD a year contract at 80% gross margin. That's 32,000 USD of margin a year, or 2,667 USD a month.

| Customer's company size | Cost per customer (Metadata, 2025) | Months to pay back at 2,667 USD a month | Decision table row |
| --- | --- | --- | --- |
| Small company | 31,000 USD | 11.6 | Works |
| Enterprise | 78,000 USD | 29.3 | Fix first |
| Mid-market | 103,000 USD | 38.6 | Fix first |

*Fig. 06: 1 customer's margin builds at 2,667 USD a month and passes Metadata's 2025 cost per customer at 11.6 months for a small company, 29.3 for enterprise and 38.6 for mid-market.*

The odd one is mid-market, which cost 25,000 USD more per customer than enterprise. Metadata's note on that chart is that 1 blended number hides a 3x gap, so use the row for the companies you actually sell to.

Coming at it from the spend side gives a similar answer. Spend 5,000 USD a month for 12 months, 60,000 USD in all, and Dreamdata's 121% return on ad spend turns it into 72,600 USD of attributed revenue. At 80% margin that's 58,080 USD, about 97% of the spend back by month 12, close to the small-company row.

Margin and contract size are the inputs you can move. Raising margin to 85% only takes the small-company row from 11.6 to 10.9 months. A 60,000 USD contract does far more: 7.8 months at small companies, and enterprise falls to 19.5, which is Borderline instead of Fix first.

Retargeting is the other lever, with thinner evidence. Metadata found it sourced 9.6 USD of pipeline per 1 USD at 196 USD a lead, slightly more per lead than cold prospecting at 187 USD, and its advice is to fund retargeting on pipeline per dollar. The report doesn't say whether that figure covers LinkedIn alone.

Payback months = cost per customer / (contract value a year x gross margin / 12), with Metadata's 2025 LinkedIn cost per customer of 31,000 USD (small company), 78,000 USD (enterprise) or 103,000 USD (mid-market).

## When LinkedIn ads don't work

6 setups make LinkedIn look like it failed, and 5 of them can be fixed inside the account. The last one, a price point that's too low, is a good reason to put the budget somewhere else.

**The audience can't clear 300 members.** LinkedIn won't serve an ad set under 300 ([LinkedIn Help a423690](https://www.linkedin.com/help/lms/answer/a423690)). In the [audience sizing skill's](https://adwarp.dev/docs/skills/linkedin-audience-sizing) made-up example, a 1:1 audience at 1 logistics company fell to 260 when it was limited to vice presidents and C-level titles, and only cleared the floor, at 610, once directors went back in.

*Fig. 07: In the sizing skill's made-up example, vice presidents and C-level titles at 1 logistics company came to 260 members, under the 300 LinkedIn will serve, and putting directors back in brought it to 610.*

**The budget sits at the 10 USD floor on a large audience.** 10 USD a day for 30 days buys about 4,800 impressions at ZenABM's 62.67 USD US median per 1,000. On a 50,000-member audience that's under 0.1 impressions per member a month, and the auction decides which few people see anything.

**The verdict comes inside 30 days.** Dreamdata's 2026 report puts the business buyer journey at 272 days, and [Ehrenberg-Bass Institute research with John Dawes](https://marketingscience.info/the-955-rule-is-the-new-6040-rule) says about 5% of business buyers are in market at a time. A 30-day read can only see the few who were already shopping, while most of the people the ads reached won't be ready for months.

*Fig. 08: About 5 in 100 business buyers are in market at any moment (Ehrenberg-Bass Institute), so a short test spends most of its impressions on people who will buy later, if they buy at all.*

**The ads are judged on click-through rate.** [ZenABM](https://zenabm.com/blog/linkedin-ads-ctr-benchmarks) found a slightly negative correlation, -0.170, between click-through rate and pipeline in 2026, and the top quarter by pipeline per dollar in its 2025 account-based data ran a 0.21% median click-through rate against 0.69% for the typical company. Click-through rate still helps you spot ads nobody reads, which is how [the click-through rate guide](https://adwarp.dev/blog/linkedin-ads-ctr) uses it, but it can't tell you whether the channel pays.

**The price point is too low.** A 3,000 USD a year product at 80% margin earns 200 USD a month, so Metadata's 31,000 USD small-company cost per customer takes about 13 years to come back. Social Surge Marketing, an agency, starts its [pros and cons page](https://socialsurgemarketing.com/the-pros-cons-of-linkedin-ads/) (2025-06-06) by saying "we don't recommend LinkedIn Ads very much anymore", and puts it down to opportunity cost.

**Audience expansion spreads spend past the list.** LinkedIn turns it on by default where it's available and adds members "with similar attributes", who aren't counted in the forecast ([LinkedIn Help a418929](https://www.linkedin.com/help/lms/answer/a418929)). On an account list, that means paying for people at companies you never picked. Switch it off for account-based and retargeting ad sets, or create them through Adwarp, which [leaves it off](https://adwarp.dev/docs/safety).

*Fig. 09: Where LinkedIn offers Audience Expansion it starts switched on and adds similar members from outside your list, and every ad set Adwarp creates has it off.*

### What Adwarp's rules stopped

Adwarp was built while running LinkedIn campaigns through it, and 2 of these patterns became rules. Every audience gets sized before an ad set exists: 169 audience estimates so far, each checked against the 300-member floor, so an ad set that couldn't serve never got built. Every LinkedIn ad set Adwarp creates also has Audience Expansion and Audience Network turned off, and no Adwarp tool turns them back on ([safety](https://adwarp.dev/docs/safety)).

A third rule runs on Mondays and leans on click-through rate, which might look odd after the ZenABM finding. The [linkedin-ads-pause-rules](https://adwarp.dev/docs/skills/linkedin-ads-pause-rules) skill pauses an ad that has passed 1,500 impressions under the floor for its format: 0.29% for single image, 0.22% for carousel and 0.17% for video, each 70% of ZenABM's 2025 median for that format. It pauses at most 5 ads a run, protects the top 5 by conversions and the last active ad in each ad set, and shows a dry-run table before anything changes. All it clears out is single ads nobody engages with. Whether LinkedIn works at all gets answered in the CRM.

*Fig. 10: Adwarp's Monday pause rule checks each ad after 1,500 impressions against a click-through rate floor for its format: 0.29% for single image, 0.22% for carousel and 0.17% for video, each 70% of ZenABM's 2025 median.*

Every change also lands in the [change journal](https://adwarp.dev/docs/journal), 1,125 since June, including 29 budget changes, 23 bid changes, 16 rotation switches and 36 notes on why. When results drop, `adwarp changelog list` shows what changed and when, and `adwarp lift` compares the 14 days before a change with the 14 after.

## Pros and cons, with numbers

| Side | What | Number and source |
| --- | --- | --- |
| Pro | Targeting runs on job data | Job function, seniority, company and title ([LinkedIn Help a424655](https://www.linkedin.com/help/lms/answer/a424655)) |
| Pro | Lead forms cost less than landing pages | 193 USD a lead against 346 USD (Metadata, 2025) |
| Pro | More pipeline per dollar than the average channel | 10.20 USD of sourced pipeline per 1 USD against 7.97 USD across all channels (Metadata, 2025) |
| Pro | Cheaper leads than Google Ads | 202 USD a lead against 524 USD on Google Ads; Facebook was 145 USD and Instagram 138 USD (Metadata, 2025) |
| Pro | The only positive return on ad spend in Dreamdata's data | 121%, against 67% for Google Search and 51% for Meta (Dreamdata, 2026) |
| Con | Expensive clicks and impressions | 8.99 USD per click and 62.67 USD per 1,000 impressions, US medians; 78.30 USD per 1,000 across all 211 companies (ZenABM, 2025) |
| Con | A long wait | 272-day buyer journey (Dreamdata, 2026) |
| Con | Audience expansion is on by default | Adds members outside your targeting ([LinkedIn Help a418929](https://www.linkedin.com/help/lms/answer/a418929)) |
| Con | Clicks don't predict pipeline | A correlation of -0.170 between click-through rate and pipeline (ZenABM, 2026) |

*Fig. 11: The pros and cons are market-wide numbers, so what tips the scale for 1 advertiser is its own deal size.*

These are medians and averages across many advertisers, roughly what anyone pays. What differs between 2 companies is what 1 customer is worth to them, and that decides whether 8.99 USD a click is a lot. The full price breakdown is in [LinkedIn Ads cost](https://adwarp.dev/blog/linkedin-ads-cost).

*Fig. 12: In Metadata's 2025 data a lead cost 193 USD when a lead form opened over the ad and 346 USD when the ad sent people to a landing page.*

## How to test LinkedIn ads in 90 days

90 days is enough to see whether the ads reach the right accounts and start pipeline. These steps set the test up so the read at day 90 means something.

1. **Size the audience.** Narrow by job function, then seniority, then company filters, and check the estimate after each step against 300 and the range for the goal. The [linkedin-audience-sizing](https://adwarp.dev/docs/skills/linkedin-audience-sizing) skill walks it with `estimate_audience`. More on targeting at [LinkedIn audiences](https://adwarp.dev/linkedin-ads/audiences).
2. **Set the budget from the frequency band.** Monthly budget = audience x impressions per member x cost per 1,000 / 1,000. Aim for 1 to 8 impressions per member a month, using your own cost per 1,000 when you have one.
3. **Run 1 lead form ad set and 1 retargeting ad set.** Lead forms were the cheaper lead in Metadata's data, and retargeting is where Metadata says to judge spend on pipeline per dollar.
4. **Log the hypothesis before launch.** Write down what should happen, the metric and the read date. The [ad-experiment-lift](https://adwarp.dev/docs/skills/ad-experiment-lift) skill logs it with `log_ad_change` and reads before and after lift with `compute_lift` on equal windows.
5. **Judge each ad after about 1,000 impressions or 3 conversions.** The [linkedin-ads-performance-review](https://adwarp.dev/docs/skills/linkedin-ads-performance-review) skill holds every call to that floor. At 10 USD a day and a 62.67 USD cost per 1,000, an ad set buys about 160 impressions a day, so 3 ads take about 19 days to reach 1,000 each.
6. **Read pipeline in the CRM at day 90, and again at the length of your sales cycle.** Day 90 shows whether the right accounts are turning into opportunities. Whether they pay back takes the second read.

*Fig. 13: The test runs from a hypothesis logged at day 0 to a first pipeline read at day 90, with a second read once a full sales cycle has passed.*

Steps 1, 2 and 4 look like this from the terminal, using the made-up audience in the sizing skill's examples:

```text
> Size the finance leaders audience and check it against 6,000 USD a month at our 70 USD cost per 1,000.
adwarp.estimate_audience finance leaders spec  52,000 members, can serve
6,000 / 70 x 1,000 = 85,714 impressions a month
1.6 impressions per member a month: workable (1 to 8)
> Log the test before launch. We read pipeline in the CRM at day 90.
adwarp.log_ad_change campaignGroup "Finance leaders test", label "90-day LinkedIn test"  logged
Saved to ~/.adwarp/changelog.jsonl. Nothing in the ad account changed.
```

At 1.6 impressions per member a month, the budget reaches the audience without wearing it out. Run the same check on a 1,000-member account list at that budget and it comes back at 86 impressions per member, far past 8, so either the budget drops or the list grows.

*Fig. 14: The sizing example's 6,000 USD a month gives each of its 52,000 members 1.6 impressions, inside the 1 to 8 band, and a 1,000-member list at that budget would get 86 apiece.*

### In practice: 49 account-based ad sets, each sized before it spent

49 account-based ad sets have gone out through Adwarp. Each one aimed at 400 to 1,000 decision makers at 1 company and had 3 ads, its own landing page and a 2-week flight.

Every one of their audiences was sized first, part of 169 audience estimates in all, each checked against the 300-member floor. The journal holds 1,125 changes, 29 of them to budgets and 23 to bids, plus 16 rotation switches and 36 notes explaining why.

Results from that account stay out of this post. The counts are here to show how the work was done.

Put it to work: [LinkedIn Ads reporting](https://adwarp.dev/linkedin-ads/reporting). Pull spend, impressions, conversions and leads by campaign, ad set or ad from your terminal, and read the lift on any change in the journal.

## Questions

### Do LinkedIn ads actually work?

They work for business offers where 1 customer's margin covers what LinkedIn charges to win one, which was 31,000 USD at small companies and 78,000 to 103,000 USD at enterprise and mid-market companies in Metadata's 2025 data. Dreamdata's 2026 report found a 121% return on ad spend for LinkedIn, the only platform in its data that returned more than it cost. They tend to fail on consumer products and on tests judged inside 30 days.

### Is it worth advertising on LinkedIn?

Divide what LinkedIn charges for a customer by 1 customer's monthly gross margin. At 12 months or fewer it's worth testing, 13 to 24 is borderline, and over 24 needs a bigger contract or a cheaper channel first. A 40,000 USD contract at 80% margin pays back in 11.6 months at Metadata's small-company figure and 38.6 months at its mid-market figure.

### How successful are LinkedIn ads?

Dreamdata's 2026 report found a 121% return on ad spend, counting closed-won revenue over 12 months under data-driven attribution. Metadata's 2025 data shows 10.20 USD of pipeline sourced per 1 USD of lead-gen spend, and ZenABM's 2025 median is 5.21 USD of pipeline influenced per 1 USD at accounts that saw 3 or more impressions. They measure different things, so they can't be averaged, and all 3 publishers sell measurement or account-based tools.

### Is 10,000 impressions a lot on LinkedIn?

It costs about 627 USD at the 62.67 USD US median per 1,000 impressions in ZenABM's 2025 data. Spread over a 50,000-member audience that's 0.2 impressions per member, too thin to reach most of them. On a 1,000-member account list it's 10 per member, past the 8 at which the same people start seeing each ad too often.

### What is the 95-5 rule on LinkedIn?

It comes from Ehrenberg-Bass Institute research with Professor John Dawes: about 5% of business buyers are in market at any time, and the other 95% won't buy for months or years. For LinkedIn ads it means most impressions land on people who will buy later, if at all, so a 30-day lead count sees only a small part of what the ads do.

### Is LinkedIn still relevant in 2026?

Dreamdata's 2026 report says LinkedIn takes 41% of business-to-business paid social budgets, and it was the only platform in that data with a positive return on ad spend, at 121%. In Metadata's 2025 data it sourced 10.20 USD of pipeline per 1 USD of lead-gen spend, against 7.97 USD across all channels.

### Are LinkedIn ads worth it for small businesses or consumer brands?

For consumer brands, rarely, because LinkedIn targets by job function, seniority and company, which describes people at work. For a small business it depends on the price: a 3,000 USD a year product at 80% margin would take about 13 years to earn back Metadata's 31,000 USD small-company cost per customer. A small firm selling high-value services to other businesses can still make the math work.

### Are LinkedIn ads still worth it for business-to-business (B2B) companies?

On the 2025 and 2026 public data, yes, when the deal size covers the cost. LinkedIn lead forms cost 193 USD a lead against 346 USD for landing pages in Metadata's data, and a LinkedIn lead cost 202 USD against 524 USD on Google Ads. The catch is the 272-day buyer journey Dreamdata measured, so the full answer takes most of a year.

### Why do my LinkedIn ads get clicks but no leads?

Clicks don't predict pipeline on LinkedIn: ZenABM's 2026 benchmark found a correlation of -0.170 between click-through rate and pipeline. Start by checking that the conversion is tracked and that audience expansion is off on account lists. If the ad sends people to a landing page, try a lead form, which cost 193 USD a lead against 346 USD for landing pages in Metadata's 2025 data.

### Do thought leader ads work better?

On clicks, yes. ZenABM's 2025 data shows a 2.68% median click-through rate and 2.29 USD per click for thought leader ads, against 0.42% and 13.23 USD for single image ads. Its top performers by pipeline per dollar ran a lower click-through rate than the typical company, so judge thought leader ads on pipeline like any other format.

## Related

- [LinkedIn Ads cost](https://adwarp.dev/blog/linkedin-ads-cost): What LinkedIn charges per click, per 1,000 impressions and per lead, with sources and dates.
- [A good LinkedIn click-through rate](https://adwarp.dev/blog/linkedin-ads-ctr): Median click-through rates by format, and the rule for when to pause an ad.
- [LinkedIn conversion tracking](https://adwarp.dev/blog/linkedin-conversion-tracking): The tracking that lets you read pipeline by ad set instead of by click.

Canonical page: https://adwarp.dev/blog/do-linkedin-ads-work
Last updated: 2026-11-07