Advertise harder during the hours that actually sell.

Dayparting (Hourly Optimization) analyzes each campaign's clicks, sales and ACoS hour by hour and by day of the week, identifies when it performs best and suggests — or applies automatically — a bid adjustment for just those hours. Less spend in the weak hours, more investment in the ones that convert.

Dayparting · see it in action

Spend more during the hours that sell.

The performance map by hour and day shows the strong hours; the recommendation explains why, and a simulation comes before scheduling.

Illustrative demo with sample data.

No credit card required to sign up. Pause anytime to check the details.

What it is and who it's for

You'll find it under Hourly Optimization, with a product view or a campaign view. The product view consolidates every campaign advertising that ASIN and shows the best-performing window; the campaign view shows the full heat map (12 AM–11 PM × Mon–Sun), Vision's recommendation (with its confidence level) and the current vs. suggested strategy hour by hour.

It's for sellers whose campaigns have run long enough to show an hourly pattern — the product that sells more at night, the campaign that does better on weekends — and who want to capture that without adjusting bids by hand every hour.

The problem it solves

A fixed bid treats 3 AM the same as peak hour — spending budget during low-conversion hours and underinvesting in the strong ones. Finding that pattern by hand means matching clicks, sales and ACoS by hour and day of the week, campaign by campaign — math nobody has time to redo every week.

How it works

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Performance map

A 12 AM to 11 PM grid for each day of the week, colored by metric (sales, clicks, ACoS) — green is the best result, red the worst, gray means insufficient data.

🎯

Best hours identified

Vision points out the product's or campaign's best-performing hours, with the share of sales/clicks that happen in them and the confidence level of the data analyzed.

📈

Bid recommendation

A suggested percentage adjustment (e.g., +25%) for the best-performing hours, comparing today's current bid with the strategy Vision proposes.

🧪

Analysis → Simulation → Activation

Three steps before any real change: the analysis completes the diagnosis, the simulation shows the expected behavior, and only then does activation apply the adjustment on Amazon.

⏸️

Pause whenever you want

With automation active, a "Pause" button stops the automatic bid adjustments at any time — without losing the analysis already done.

Example

An exact-match campaign built up 67 clicks over 29 days, and Vision identified 1 AM, 1 PM, 2 PM and 5 PM as the best-performing hours, with low confidence (still a small data set) and a recommendation of +25% on the bid for just those four hours — every other hour keeps the current strategy. With automation active, the adjustment runs on its own; the last adjustment applied is logged, and you can pause at any time if you want to take back manual control.

Integrations and data used

Amazon Ads API

Clicks, orders, sales and ACoS by hour and day of the week for each campaign, plus the current bid and applying the suggested adjustment.

ACoS targets

Confidence and recommendations take into account how much data each campaign has built up — new campaigns show as "insufficient data" until they mature.

Controls and safety

🧪

Simulation before activation

No hourly bid adjustment goes to Amazon without a completed analysis and a simulation of the expected behavior.

⏸️

Pause at any time

An active automation can be paused with one click, without losing the analysis history and the configured strategy.

🛡️

Isolated per account

The performance map and recommendations always use the account's own data — no data is accessible to any other EcomVision customer.

Learn more in our Privacy Policy.

Dayparting vs. a fixed 24-hour bid

Fixed 24-hour bid

The same investment at peak hour and in dead hours — with no visibility into where the budget actually converts.

In EcomVision

A performance map by hour and day of the week, with Vision recommending (and applying, if you turn it on) the right bid for each hour.

Frequently asked questions

What is dayparting in Amazon Ads?

It's adjusting a campaign's bid by hour of the day instead of keeping the same bid 24 hours — spending more during the hours when the campaign has historically sold best and avoiding spend in the weakest hours.

How does EcomVision decide the best hours?

Vision analyzes each campaign's click, sales and ACoS history by hour and day of the week in the performance map and identifies the hours with the best results. When there's still little data, the recommendation comes with low confidence, or the campaign shows as "insufficient data" until it builds enough history.

Does the automation apply changes directly on Amazon?

Not without analysis and a simulation first. The flow has three steps: analysis completed, a simulation to see the expected behavior, and only then activation, which applies the bid adjustment on Amazon. Once active, you can pause it at any time.

Is the adjustment the same for every campaign of a product?

Not necessarily. Campaigns for the same product can have very different hourly patterns — when that happens, Vision recommends individual adjustments per campaign instead of a single rule for the whole product.

Related features and articles

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Find where your ad budget drains away without generating sales. Learn more →

Official Amazon partner

EcomVision is part of the Amazon Service Provider Network (SPN), takes part in the Amazon Mentor program and is an Amazon Ads Verified Partner. Learn more on About Us →

Amazon Ads — Verified Partner Amazon SPN — Verified Partner

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