Calculating-MultiCasting-Profits
September 9, 2026 Last Updated

Calculating MultiCasting Profits

Ecom profit math

Three small changes that turn a losing store into $121,200 a year

Plenty of online stores look successful and still make no money. This page shows how that happens. It uses one example store selling $504,000 a year, which is losing money today. Then MultiCasting is added, and every line of the maths is shown. Nothing here is complicated. Every figure comes from five numbers multiplied together. You can put your own five numbers in at the end.

Written for anyone who sells online, pays for ads, and cannot find the profit.

Part one

Most Stores Make No Profit, and the Owner Is Often the Last to Know

Most new online stores lose money. Around nine in ten of the people who start one fail at it, and in 2021 the average Shopify store lasted 143 days before it closed.

It rarely looks like a disaster while it is happening. Sales come in. The ads dashboard shows a profit. Then rent, wages, and software come out at the end of the month, and there is nothing left. A store can run like this for years.

More ad spend is usually not the fix. Almost nobody buys the first time they hear about you. They go and look you up. They ask an AI assistant, search, read posts, watch videos, and listen to podcasts. If you are not there when they look, you lose twice. You never see the people who went looking. And the visitors you did pay for arrive colder than they needed to be.

The 143-day figure and the rest: why e-commerce stores fail

Part two

What MultiCasting Is

This is where the extra visitors and the extra sales come from. Get this part, and the rest of the page is just arithmetic.

A question your buyers ask before they buy
becomes

Eight formats

News article Blog post Long video Short video Podcast Infographic Flipbook Social posts
published to

300+ places

Yahoo News YouTube Spotify TikTok Pinterest LinkedIn X Facebook Instagram Flipboard Medium Fox Associated Press Business Insider NASDAQ and hundreds more

Start with one question your buyers really ask. A real question, the kind someone types into Google or asks ChatGPT while they are deciding. Answer it properly, once.

That one answer is then made into eight formats. A written article cannot play on a podcast app. A video cannot sit in a news feed. So each format goes to the places that carry it. One question, answered once, ends up in 300+ places.

That is MultiCasting. It works because buyers research in lots of places at once. Someone asks an assistant, then watches a video, then reads a thread, then checks the news. If the same answer is in all of them, you are the name they keep seeing.

Part three

It Only Works If You Keep Going

MultiCasting is not one campaign. It is a habit. One answer does very little on its own. A few hundred answers change your business.

Every answer you publish stays published. It keeps getting found long after you post it. So the work stacks up instead of running out.

One answer a day is about 30 questions a month. Over a year, that is roughly 365 questions you own the answer to. Each one is another way into your business.

The traffic builds the same way. A handful of answers get cited now and then. A few hundred get cited constantly, across search, social feeds, and AI assistants. The more questions you answer, the more often you are the source.

So the numbers below are not what one post does. They are what a steady habit looks like after it has been running for a while.

Day 1     1
After 1 month 30
After 3 months 90
After 6 months 180
After 12 months 365

One answer a day, added up. By month twelve you have answered 365 questions, and all 365 are still published and still being found.

Google Search Console chart for a fitness equipment store. Clicks and impressions climb, then drop sharply at a point marked Content Removed.
What happens when you stop. This is a fitness equipment store’s own Search Console data, 14,000 clicks and 574,000 impressions over the period. The arrow marks where the CEO deleted the high-ranking pages. The line falls straight away.

Read the full case study: 61.5x return on content spend

Part four

The Three Changes MultiCasting Makes

Doing this changes exactly three numbers in the accounts. Here they are. Nothing else changes: same team, same rent, same software, same ad budget, same product, same price.

  • 1
    AI engines start naming you Someone asks ChatGPT, Gemini or Google about your kind of product. The answer names a source. Publish the answer and that source is you. Traffic: 10% more visitors×1.10
  • 2
    Buyers find you while they research The same answers sit on news sites, video sites, podcast apps and social feeds. That is where people go before they buy. They arrive from places you were not in at all. Traffic: another 10% more visitors×1.10
  • 3
    That traffic buys more often Someone who read your answer already knows you. They trust you a little. They buy more often than a cold click from an ad. Conversion goes from 1.0% to 1.2%. Conversion: 20% better conversion×1.20

Part five

Why Three Small Changes Add Up to a Big One

Ten plus ten plus twenty is forty. That is not what happens here. The three changes land on top of each other, so they multiply instead. Here it is, one step at a time.

Step Multiplier Visitors and rate Customers Revenue Owner keeps
Before MultiCastingThe store as it is today 4,200at 1.0% 42 $42,000 −$1,300
After change 1AI engines name you 1.10 4,620at 1.0% 46 $46,000 +$1,100
After change 2Buyers find you researching 1.10 5,082at 1.0% 51 $51,000 +$4,100
After MultiCastingAll three changes together 1.20 5,082at 1.2% 61 $61,000 +$10,100
1.10 × 1.10 × 1.20 = 1.45× Traffic × Traffic × Conversion. Revenue $42,000 × 1.45 = $61,000.

Revenue goes up 45%. Now look back at the three changes. Not one of them is a 45% jump. The biggest is a fifth. Nothing about the business got dramatically better. The 45% is just what three small numbers do when they stack up.

Part six

The Books Before MultiCasting

Now the money. Five numbers, multiplied and taken away in order. Read down to the last line. That is what the owner actually keeps.

Visitors 4,200
×Conversion rate 1.0%
=Customers 42
×Average order $1,000
=Revenue $42,000
Cost to deliver it (40%) $16,800
=Gross profit $25,200
Fixed costs $26,500
=What the owner takes home −$1,300

Fixed costs are team, rent, software and the ad budget. Watch this line. It never changes again on this page.

The store sells $42,000 in the month. The owner is $1,300 down. Over a year, that is $15,600 out of pocket. Nobody is doing anything obviously wrong. There is just not enough revenue to cover the fixed costs.

Part seven

The Books After MultiCasting

Same layout. Same fixed costs. Only two numbers have moved: visitors and conversion rate, and both moved for the reasons set out above.

Visitors 5,082
×Conversion rate 1.2%
=Customers 61
×Average order $1,000
=Revenue $61,000
Cost to deliver it (40%) $24,400
=Gross profit $36,600
Fixed costs $26,500
=What the owner takes home +$10,100

Unchanged. Not one dollar more.

Same team. Same rent. Same ad budget. Nineteen more customers in the month. The owner goes from $1,300 down to $10,100 up.

Publishing all those answers costs money, so where is it in the ledger? It sits inside the same fixed-cost line, at roughly $700 to $800 a month. Against $26,500 that is too small to change what the owner takes home, which is why the figure is held flat.

Part eight

What Changed

The two months side by side, with the yearly figures underneath. Most lines went up. One did not, and that one line is why this works.

Per month Before
MultiCasting
After
MultiCasting
Change
Visitors 4,200 5,082 +882
Conversion rate 1.0% 1.2% +0.2 pts
Customers 42 61 +19
Revenue $42,000 $61,000 +$19,000
Cost to deliver $16,800 $24,400 +$7,600
Fixed costs $26,500 $26,500 no change
Owner keeps −$1,300 +$10,100 +$11,400
Revenue, a year $504,000 $732,000 +$228,000
Owner keeps, a year −$15,600 +$121,200 +$136,800

$19,000 of new sales came in. Only $7,600 of new cost came with it. The fixed costs did not care how many orders went out. So $11,400 of that $19,000 was profit. That is sixty cents in every new dollar. A year of it is the gap between losing $15,600 and making $121,200.

Part nine

What MultiCasting Does to Google Traffic

Google is the prize here, and it is not close. Search sends more than half of all web traffic, around eight times what every social network manages put together. Across twelve different niches, it accounts for 60.68% of everything that arrives. AI assistants are growing fast and worth being cited in, and MultiCasting puts you in both. The volume, though, is in search.

Why Google is the biggest traffic source for ecom brands

A fitness equipment brand, twelve months in

Treadmills and ellipticals, competing with companies spending millions a year on ads. Here is what a year of answering questions did to their search traffic.

200×

blog traffic growth in twelve months

Q1 2024 86,900
Q1 2025 207,000

Whole site, visits per quarter. Up 138%.

Blog visits a month, before 221
Blog visits a month, now 50,000
Blog clicks a day, before 8
Blog clicks a day, now 1,600
New keyword rankings gained 23,500
Keywords now ranking first 1,400
Blog posts published 393

The client’s own twelve-month performance review, 2025.

Nearly half the site’s traffic now comes from the blog, which did not meaningfully exist a year earlier. Those 23,500 keyword rankings are 23,500 questions the brand now answers when somebody searches.

And what that traffic was worth

Traffic is only half of it. This is the same brand’s published set of numbers, which is rare, because most businesses will show you a chart and stop there.

Content spend, a month $5,000
Blog visits a month, from Google 41,000
Conversion rate 0.5%
Average order $1,500
Sales from the blog, a month $307,500
Sales over six months $1,845,000
Return on content spend 61.5×

That last figure counts sales. Sales are not profit. Return on content spend means sales for every dollar spent on content, measured before the cost of making and shipping the goods.

So here is the margin, which is the part that actually matters. The case study puts the blog traffic at better than 90% profit margin. Their paid ads, once the ad spend came out, ran at 23%. Same product, same order value, four times more profitable per customer.

Those figures are the same arithmetic as the made-up store at the top of this page. Visits, times conversion rate, times average order. The difference is that this is a real business.

Read the full case study: 61.5x return on content spend

It works outside ecommerce too

A pest control company. No products to ship and no cart, just a phone that needs to ring. Same method: answer the questions people ask before they call somebody.

Pages ranking in Google 368
Sessions 23,000+
Tracked events 97,000+

Client reporting, nine months in, May 2026.

Search Console agrees over a longer window. Twelve months on the same site returned 26,300 clicks from 4.1 million impressions, with an average position of 9.4.

They switched the paid ads off because they could not staff the leads coming in. This is the only case on this page where the bottleneck stopped being traffic and became the phone.

Part ten

Now Use Your Own Numbers

That was an example. This is yours. Put your own five numbers into the same order below and read down to the last line.

If the sliders are not showing, use the table below. It runs the same arithmetic across five different delivery costs.

Part eleven

When This Does Not Work

Everything stays as it was in the example, except one number. That number is what it costs you to deliver one order. It decides whether any of this is worth doing. All three columns are yearly.

Cost to deliver Before
MultiCasting
After
MultiCasting
A year after
30% +$34,800 +$194,400 +$159,600
40% −$15,600 +$121,200 +$136,800
50% −$66,000 +$48,000 +$114,000
60% −$116,400 −$25,200 +$91,200
70% −$166,800 −$98,400 +$68,400

Red rows still lose money over the year, even after MultiCasting.

Up to about 50 cents in the dollar, MultiCasting turns the loss into a profit. At 60 cents, it does not. The store stays underwater before and after. There is not enough left in a new sale to pay for itself. More traffic cannot fix a margin problem. Fixed costs work differently. Change those and the gain is $136,800 a year every time. So your overheads decide where you end up, and your margin decides whether the trip is worth taking.

Part twelve

What This Actually Takes

Three steps. Two of them are not yours to do.

  • 1
    Handled for you Find the questions people ask Topic tools surface what buyers are actually typing and asking in your niche, with the demand behind each one.
  • 2
    Handled for you Write the answer in every format One answer becomes the article, the blog post, the video, the short, the podcast episode, the infographic, the flipbook and the social posts.
  • 3
    Handled for you Publish it everywhere Each format goes out to the platforms that carry it, across 300+ sites.

Your part, and only your part

Pick good topics A topic needs three things at once: people are asking it, nobody has answered it well, and the person asking is close to buying. Search the question yourself. If page one and page two are full of big sites that already answer it properly, pick something more specific.
Say what only you can say Ask who on earth is best placed to answer a question about your own product. You are. Your customers ask, your competitors guess, and you actually know. Answer it and you have added something to the internet that was not there before.
Check it once a year Look at which pages brought traffic and which brought none. Improve the ones that worked. Consider deleting the ones that did nothing.

Get started in as little as twenty minutes a day, using AmpCast to help you create the content. One question answered, every day. Or hire the AmpiFire team to go all out and do it for you.

Part thirteen

One Reason Not to Sit on This

Every marketing channel gets harder as more people arrive. Search did. Facebook did. YouTube did. Starting a channel three years ago was easier than starting one today, and everybody who was there early knows it.

Answer engines are at that early stage now. Most businesses have only just worked out that buyers ask an assistant before they buy, and most still have nothing published for the assistant to find. The ones who fill that gap first are the ones who become the default answer, and a default answer is expensive to displace.

This is for you if

  • You sell something online.
  • Your rent, wages and software bills stay the same at 40 orders a month or at 60.
  • Making and delivering an order costs you less than half of what you charge for it. On a $100 order, that means under $50 goes on the product and getting it to the customer.

This is not for you if

  • Making and delivering an order eats most of what you charge. If $70 of every $100 order goes on the product and shipping, extra visitors will not rescue it. There is too little left in each sale.
  • You need more profit this month. This builds up over months, because each answer you publish takes time to be found.

Established brands

Apply for done-for-you content

Agencies and marketers

Request early software access

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