AUANI vs. ezCater: The Real Catering Commission Compared

ezCater is a large catering marketplace, and listing on it costs nothing upfront. The real cost shows up on every accepted order, where a 15% commission and a 2.99% processing fee both apply before a caterer sees the remainder.

What ezCater Actually Offers

ezCater is a marketplace connecting corporate and event buyers with local catering companies, with no listing fee and no contract required to join.

  • Free to list, no signup fee or ongoing subscription required
  • A 15% commission on every accepted marketplace order, excluding tips and taxes
  • A separate 2.99% payment processing fee, also excluding tips
  • ezOrdering, a lower-commission option around 7% plus processing for orders through a caterer's own website
  • Weekly payouts by check or direct deposit

What ezCater Actually Costs

On a $1,000 catering order, the marketplace commission and processing fee together run close to $180 before the caterer sees the rest, a meaningful cut on an order type that already tends to carry thin margins from food cost and labor alone.

Cost Line Rate or Price
Listing fee $0
Marketplace commission 15% per accepted order
Payment processing 2.99% per order
ezOrdering (own-site orders) Approximately 7% plus processing
Payout schedule Weekly, by check or direct deposit

What AUANI Offers Instead

AUANI starts at $0 a month with no setup fee. The Free tier carries a 10% marketplace fee, already lower than ezCater's 15%, and includes:

  • A widget built for collecting event details, guest counts, and delivery windows
  • Pickup, dine-in, and real courier delivery through Uber
  • A punch-card loyalty program and an exportable guest list
  • Reviews tied only to verified completed orders

The Monthly plan is $300 a month, drops the marketplace fee to 5%, and adds a fully hosted website with a 0% direct ordering widget, so a repeat corporate client booking directly costs nothing in commission at all.

Side by Side

Feature ezCater AUANI
Listing cost $0 $0
Marketplace commission 15% + 2.99% processing 10% Free, 5% Monthly, 3% at 2+ locations
Direct-order option at 0% commission Yes, via ezOrdering at roughly 7% Yes, via the Monthly tier's widget at 0%
Built for event-detail intake Yes Yes
Permanent free tier Yes, listing only, commission still applies Yes, at 10% marketplace fee

A Worked Example

A catering company booking a $2,500 corporate order through ezCater's marketplace pays 15% commission, or $375, plus 2.99% processing, another roughly $75, for a combined cost near $450 on that single order, leaving about $2,050 before food cost and labor are even subtracted. Over 10 such orders a month, that's roughly $4,500 going to commission and processing alone.

The same $2,500 order booked through AUANI's Free tier carries a 10% marketplace fee, or $250, saving $200 versus ezCater on that order alone. Once that corporate client becomes a repeat booking and the caterer has moved to AUANI's Monthly tier, the same order placed through the 0% direct ordering widget costs nothing in commission at all, a tier ezCater's own ezOrdering option approaches but doesn't fully match at its roughly 7% rate.

An Honest Case for Choosing ezCater Anyway

ezCater's scale as a corporate catering marketplace is real, and a caterer that depends on discovering new corporate accounts it wouldn't otherwise reach has a genuine reason to stay listed there, even at a 15% commission, for the reach alone.

A caterer just entering the corporate catering space, with no existing list of office managers or event planners to call on, often needs that marketplace discovery more than it needs the lowest possible commission rate, at least until a base of repeat direct clients is built up.

Best For

ezCater suits a caterer that wants access to its existing corporate buyer network and is willing to pay for that discovery. AUANI suits a caterer that wants a lower marketplace fee from day one and a genuine path to 0% commission on repeat direct bookings.

Frequently Asked Questions

Does ezCater charge anything just to list a business?

No, listing on the ezCater marketplace is free; the 15% commission and 2.99% processing fee only apply to accepted orders.

Is ezOrdering the same as ezCater's marketplace?

No, ezOrdering is a separate, lower-commission option for orders placed through a caterer's own website rather than the marketplace itself.

How does AUANI's marketplace fee compare to ezCater's?

AUANI's Free tier charges 10%, lower than ezCater's 15%, and drops to 5% on the Monthly tier.

Can a caterer use both platforms at once?

Yes, many caterers keep a marketplace listing for discovery while building a direct ordering channel elsewhere at the same time.

Where can I compare every platform in this series at once?

Does the 15% ezCater commission apply to tips and taxes too?

No, both the marketplace commission and the processing fee exclude tips and taxes; they apply only to the order subtotal.

For the full picture against every platform in this series, see the master fee comparison table. For the catering-specific picture beyond fees, see the Catering Company online ordering guide.

Why Reviews Beyond Google Still Deserve Real Attention

Google is the obvious place to check for reviews, and often the only place a vendor actually monitors. Guests leave feedback across a much wider set of platforms, delivery apps, general directories, and niche review sites specific to food and drink, and a review sitting unanswered on one of those can matter just as much as one on Google.

Why This Gets Missed So Often

Checking one platform is manageable; checking dozens is not, without some system to make it practical. Most vendors default to Google alone simply because it's the platform they think of first, not because it's the only place guests are talking.

A delivery app review, in particular, often gets overlooked entirely, since it lives inside an app the vendor mostly opens to manage active orders, not to read guest feedback. That review sits there influencing every future guest browsing that same app, unnoticed and unanswered, simply because checking it was never built into anyone's routine.

Why It Still Matters

  • A negative review sitting unanswered anywhere is still visible to anyone who finds it.
  • Reviews on delivery platforms specifically can influence a guest's decision at the exact moment they're ordering.
  • Catching a review within hours, rather than weeks, changes how effectively a response actually helps.

A review left on a niche food and drink review site or a general local directory can also show up in its own search results, sometimes even outranking the business's own website or Google listing for a specific query, which means ignoring that platform entirely can leave an unanswered, unmanaged review sitting at the very top of a relevant search.

A Practical Approach Without Checking Everything Manually

Prioritizing the platforms most relevant to actual order volume, rather than attempting to monitor every possible site equally, keeps this manageable without requiring constant manual checking across dozens of separate logins.

A rotating check-in, rather than an every-platform-every-day habit, tends to be what actually survives long term. Even a fixed fifteen minutes set aside once a week to work through the priority list keeps most meaningful feedback from sitting unanswered for more than a few days at a time.

  1. List every platform where the vendor actually receives orders or is listed at all, delivery apps, general directories, niche food and drink review sites.
  2. Rank them by how much order volume or visibility actually flows through each one.
  3. Set a realistic check-in cadence for the top few, weekly for the highest-volume ones, monthly or less for the rest.

Revisiting this ranked list every few months keeps it accurate as order volume shifts between platforms over time, since a channel that mattered little a year ago can quietly become a vendor's second-largest order source without anyone noticing the shift happened.

How AUANI Handles This

AUANI's own verified-order-only review system captures feedback directly tied to real orders on the platform itself, giving a vendor a reliable core review base alongside whatever it monitors elsewhere.

Having one reliable, verified review source already covered reduces the pressure to monitor every other platform with equal intensity, since a vendor can prioritize checking the highest-volume outside platforms without worrying that its own core review base is being neglected in the meantime.

That baseline also gives a vendor something concrete to compare outside platforms against, making it easier to notice if a specific delivery app or directory is quietly accumulating unanswered complaints that the vendor's own verified reviews never show.

A noticeable gap between the two, a strong verified rating on the vendor's own platform against a weaker one somewhere else, is itself a useful signal worth investigating rather than dismissing it as an unrelated outlier not worth a second look.

Frequently Asked Questions

Which platforms besides Google are worth monitoring?

It depends on the vendor, but any platform where actual orders are placed, delivery apps included, deserves attention alongside general review sites.

Is it necessary to respond on every platform equally?

Prioritizing the platforms with the most visibility or order volume is reasonable rather than treating every platform as equally urgent.

Does a review on a delivery app affect Google ranking?

Not directly, but it affects guest decisions on that platform, which matters for revenue even without a direct ranking connection.

How quickly should a review be addressed once found?

As soon as practical; catching it within hours or a day tends to matter more than catching it within weeks.

What is the wider guide this fits into?

The Local SEO & Google visibility guide covers this alongside review velocity and response time.

How should a vendor decide which platforms to prioritize?

By ranking them according to actual order volume or visibility, rather than trying to monitor every possible review site with equal effort.

For the wider picture on local search, see the Local SEO & Google visibility guide.

Why Asking for Reviews in Person Feels So Awkward Too

Asking a guest to leave a review while they're still at the counter or table puts both people in an awkward spot: the guest feels put on the spot to respond positively in person, and the person asking has to read the room in real time. A simple, well-timed follow-up after the fact tends to sidestep that discomfort almost entirely.

Why the In-Person Ask Struggles

A guest asked directly, in the moment, may agree just to avoid an awkward exchange rather than out of genuine enthusiasm, and staff often feel uncomfortable pushing the ask past a single polite mention.

There's also a practical timing problem: a guest standing at the counter or mid-meal hasn't actually finished the experience yet, so any review given right then reflects only part of the visit, not the full picture a guest could offer once the meal, delivery, or pickup was truly complete.

What Tends to Work Better

  • A follow-up message sent after the order is complete, once pressure to respond in the moment is gone.
  • A direct link making it as easy as possible to leave a review without extra steps.
  • Timing the ask close enough to the experience that it's still fresh, without being immediate and intrusive.

This shift also removes an uneven burden from staff, who previously had to gauge, table by table or order by order, whether a particular guest seemed receptive to being asked. A consistent, automated follow-up applies the same fair approach to every guest, rather than depending on one staff member's read of the room on a busy night versus a quiet one.

Keeping the Ask Genuine

A follow-up that reads as automated and generic can feel just as impersonal as an awkward in-person ask. A short, specific message referencing the actual order tends to feel more genuine than a blanket request.

Naming the actual item ordered, rather than a generic "thanks for your order," is a small detail that makes a real difference. "Hope you enjoyed the roasted vegetable bowl" reads as a message that was actually generated from a specific order, while a fully generic message reads as the same automated blast every guest received regardless of what they ordered.

Keeping the message brief matters just as much as keeping it specific. A short, warm note that takes a guest five seconds to read and act on tends to convert better than a longer message padded with extra marketing language that delays the actual ask.

A direct link that drops a guest straight into the review form, rather than a link to a general profile page they then have to navigate from, also removes an unnecessary step between the ask and the actual review being written.

How AUANI Handles This

AUANI's verified-order-only review system ties naturally to a post-order follow-up approach, since every review is already connected to a real completed order rather than requiring an in-person ask at all.

Because the review request itself connects directly to a specific completed order, the message can reference the actual item ordered automatically, without a staff member needing to remember any detail about that particular guest's visit after the fact.

That automation also removes the inconsistency that comes from relying on individual staff members to remember to ask, since every guest gets the same fair, well-timed follow-up regardless of who happened to be working that particular shift.

It also frees staff from having to gauge, order by order, whether a given guest seems receptive to the ask, letting them focus purely on the actual service rather than reading the room for a marketing opportunity on top of it.

Frequently Asked Questions

Does an automated follow-up feel impersonal to guests?

It can if generic, but a short, specific message tied to the actual order tends to read as considerate rather than impersonal.

Should staff still mention reviews in person at all?

A brief, low-pressure mention can work, but the actual ask tends to convert better as a follow-up rather than an in-the-moment request.

How soon after an order should the follow-up go out?

Soon enough that the experience is still fresh, typically within a day, without feeling immediate or intrusive.

Does this approach work for delivery orders too?

Yes, a post-delivery follow-up works the same way as a post-pickup or post-dine-in one.

What is the wider guide this fits into?

The Local SEO & Google visibility guide covers this alongside review velocity and response time.

Does referencing the specific item ordered actually improve response rates?

It tends to, since it signals the message was generated from a real order rather than sent as an identical blast to every guest, which reads as more genuine.

For the wider picture on local search, see the Local SEO & Google visibility guide.

Review Velocity: Why Recency Beats Total Review Count

A business with two hundred reviews, all from three or four years ago, and no new ones since, looks static to a searcher and to Google alike. Review velocity, the steady, ongoing pace of new reviews arriving over time, tends to carry more weight for current ranking than a large but frozen lifetime total.

Why Recency Matters More Than a Static Total

A steady stream of recent reviews signals an actively operating, currently relevant business, while an old, unchanging total can read as stale, even if the number itself looks impressive on paper.

A searcher weighing two similar-looking listings often scans the most recent review dates before the total count registers at all, since a recent date answers the question that actually matters to them: is this business still running the way these reviews describe right now, not three years ago.

What a Healthy Velocity Looks Like

  • New reviews arriving consistently, not clustered around one campaign and then stopping.
  • A pace roughly proportional to actual order or visit volume, not artificially inflated.
  • Recent reviews mixed with older ones, rather than a long gap since the last one.

A vendor can get a rough sense of its own velocity by simply scanning review dates over the last three months, if most of them cluster around a single week with nothing before or after, that's a sign the pace was driven by a one-time push rather than an ongoing habit, and worth correcting going forward.

Building a Sustainable Cadence

Asking for a review shortly after a completed order, consistently, tends to produce a steadier flow than occasional bursts tied to a single campaign or promotion. A short window right after the order is fulfilled, while the experience is still fresh, tends to produce a higher response rate than a request sent days later once the guest has moved on to other things.

Automating this specific step, rather than relying on someone remembering to ask manually after every order, is usually what determines whether a steady cadence actually survives past the first few enthusiastic weeks of a new initiative.

A vendor doing 200 orders a month that converts even 5% of those into a review is looking at roughly ten new reviews monthly, a modest but genuinely sustainable pace that compounds meaningfully over a year without requiring any single big push.

That same ten-a-month pace, sustained consistently, also outperforms a one-time push of fifty reviews collected in a single week and then nothing for the following year, since the sustained version keeps showing up as recent no matter when a guest happens to be looking, while the one-time burst ages into the same stale-looking total it was trying to avoid.

None of this requires a vendor to hit an exact number every single month either, since the underlying goal is simply to avoid a long, visible gap between one review and the next, not to chase a specific quota regardless of actual order volume.

How AUANI Handles This

AUANI's verified-order-only review system, included on every tier, ties reviews directly to real completed orders, which naturally supports an ongoing, order-proportional review pace rather than a one-time push.

Because the request goes out automatically tied to each completed order, the pace of new reviews naturally tracks the vendor's own real order volume over time, rather than depending on someone remembering to run a manual campaign every few months.

That tie to real orders also keeps the review pace honest by design, since it rules out the kind of artificial burst a one-time campaign or an incentivized push can create, the exact pattern that tends to look suspicious rather than reassuring to a searcher scanning recent dates.

Frequently Asked Questions

Is a large total review count still worth having?

Yes, total count still matters, but an ongoing recent pace on top of it matters more for current ranking than the total alone.

Can a business have too many reviews too quickly?

A sudden, unnatural spike can look suspicious; a pace roughly proportional to real order volume tends to look more credible.

Does responding to reviews affect velocity?

Response activity is a related but separate signal; both response and steady new review arrival contribute to an actively managed appearance.

How does AUANI ensure reviews stay tied to real orders?

AUANI's review system only allows reviews from guests with a verified completed order, rather than open, unrestricted reviews.

What is the wider guide this fits into?

The Local SEO & Google visibility guide covers this alongside review response time and the GBP checklist.

When is the best time to ask a guest for a review?

Shortly after the order is completed, while the experience is still fresh, tends to produce a noticeably higher response rate than a delayed request.

For the wider picture on local search, see the Local SEO & Google visibility guide.

Reading Your First Month of Orders Without the Overwhelm

A brand-new vendor's first month of order data feels like a strange in-between: too thin to draw big conclusions from, but still full of small signals worth noticing before a full season of data builds up. Knowing what to actually look at avoids both over-interpreting a slow week and ignoring a real early pattern.

The Manual, Free Approach

  • Which items got ordered more than once by the same guest, even in a small sample.
  • Which times of day or days of the week saw the most orders.
  • Whether any single guest already ordered more than once in the first month.

None of this requires special software in month one, a simple manual tally from order history is enough to start noticing early patterns.

A basic spreadsheet with a row per order, noting the guest, the item, and the date, takes only a few minutes to set up and is usually enough structure to spot the earliest repeat patterns without needing anything more sophisticated in these first few weeks.

How Other Platforms Approach This

Several platforms gate any kind of analytics behind a higher-priced tier from day one, leaving a brand-new vendor with raw order notifications and nothing structured to learn from until it upgrades.

That gap forces a genuinely new vendor to either pay for a higher tier before it has any real volume to justify the cost, or go without any structured way to review its own early order history at all, neither of which is a reasonable position to put a brand-new business in.

How AUANI Solves This

AUANI's exportable guest list, included on the Free tier, already captures which guests are ordering and when, giving a brand-new vendor real data to review manually. Menu analytics, included on the Monthly tier, adds structured item-level detail once volume grows enough to make that worthwhile.

Getting Started

Reviewing the exportable guest list at the end of the first month, even manually, is enough to start spotting which early guests and items are showing repeat behavior.

Setting a fixed date each month for this review, rather than doing it whenever there happens to be a free moment, makes it far more likely the habit actually continues into month two and beyond, once the initial novelty of a brand-new business has worn off.

Avoiding Common First-Month Mistakes

  • Treating a single slow week as proof the location or menu isn't working, when a full month or two of data would show a clearer picture.
  • Discontinuing an item after only a handful of orders, before there's been enough exposure to judge its real popularity.
  • Ignoring which specific guests have already ordered more than once, the single clearest early repeat signal available.
  • Comparing month one directly against an established competitor's numbers, rather than against the vendor's own following months.

Each of these mistakes shares a common root: judging a brand-new operation against a standard that only makes sense for an established one. Month one is genuinely a different phase, and the fairest comparison is always the vendor's own data a month or two later, not someone else's.

Revisiting this same list again at the end of month two, checking whether any of these mistakes crept in during the first busy weeks, helps confirm the early data is being read fairly rather than judged against an unrealistic standard.

By month three, most of these early-reading mistakes tend to resolve on their own simply because there's finally enough real order history to see past the noise of any single slow or unusually busy week.

Frequently Asked Questions

Is one month of data really enough to learn anything?

It's enough to notice early signals, not enough for firm conclusions; the goal in month one is noticing patterns worth watching, not making final decisions.

Does a brand-new vendor need menu analytics from day one?

Not necessarily; the Free tier's guest list already supports basic manual review before menu analytics becomes worth the Monthly tier's cost.

What's the most useful thing to track in month one?

Whether any guest has already ordered more than once, since that's the earliest sign of real repeat behavior forming.

Does AUANI require special software to see this data in month one?

No, the exportable guest list is included on the Free tier and can be reviewed manually right away.

What is the wider guide this fits into?

The First $6K Fast Track guide covers this alongside pickup sequencing and choosing a tier.

Should a new vendor drop a menu item after a slow first month?

Not usually based on a single month alone, since a small sample can easily misrepresent an item's real popularity once demand has more time to show itself.

For the full series, start with the First $6K Fast Track guide.