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From the desk of Tom Poland

JV Juice Makes It Simple, Fast and Easy to Find Your Perfect Joint Venture Partner.

Hi there and welcome. JV Juice is an algorithm that predicts the performance level of prospective Joint Venture (JV) partners before you approach them.

It’s like having your own crystal ball that reveals in advance how many registrants a JV partner will generate for your webinar or virtual summit or giveaway – and it’s amazingly accurate.

Casual Prediction Searches

$300 USD $25.00 / search
$540 USD $22.50 / search
$720 USD $20.00 / search
$840 USD $17.50 / search

SubscriptionPrediction Search

Unlimited Search
$400 USD /month
$2000 USD /six months

*One-time activation fee $500

Want to know more? Read here

Can you show me how you’ve used JV Juice to predict results?

How JV Juice Works

Check out the screenshots below to see how accurate JV Juice has been for me.

And remember, it doesn’t matter if you want to predict webinar registrants, or virtual summit registrations or infostack/giveaway subscribers – JV Juice will act like your own personal JV crystal ball and will tell you the most likely number that each partner will generate for your campaign.

This first screenshot shows the JV Juice predictions for each of four JV Partners who I approached to promote my webinar. JV Juice allowed me to be very confident that I was reaching out to people who would be able to deliver.

JV Juice predictions BEFORE the webinar estimating an average of 525 registrants

If you look closely at each of the four JV Partners predictions, JV Juice predicted that we would have between 350 – 700 registrants with an average prediction of 525 registrants.

We use LeadPages to track each partners’ registrant numbers and here’s what the LeadPages dashboard looked like for the same four partners.

LeadPages screenshot BEFORE the webinar showing 484 registrants

If you compare the JV Juice predictions from the first screen for each JV partner, to the actual result on the second screenshot (LeadPages) you’ll find that each partner delivered within the range that JV Juice predicted.

Finally, here’s the screen shot showing all four partners cumulated registrants from our GoToWebinar dashboard (I ran two webinars with the same content because I like to cater for north America as well as Australia and Europe).

GoToWebinar registrants report AFTER the webinar (with a few extra non-LeadPages registrants): 514 registrants

Remember: JV Juice predicted a likely average of 525 registrants.

And we got 514.

JV Juice is NOT always that accurate. As of time of writing, JV Juice predicted 650 registrants for our last webinar and we got just a bit north of 800. But it’s in the ball park.

JV Juice now makes it possible to predict how well any single potential JV partner is likely to perform for you, BEFORE you even reach out to them.

Why did you develop JV Juice?

When I started doing webinar swaps way back in 2008 it was all a bit random.  

Don’t get me wrong - I had some idea of what I was doing because I’d been generating leads with seminars through Other People’s Networks (OPN) since 1995 but webinars were new to me and so was the idea of a webinar swap.  

Eleven years on and 155 affiliate-free (important distinction!) webinar swaps later, I’m a lot wiser in terms of what works and what doesn’t.  

That’s because over that time I religiously kept the numbers on every webinar swap, and I was eventually able to identify common factors that made a webinar swap successful and I put those factors into an "OPN Assessment and Checklist" sheet.  

And every time I figured another factor out, my checklist evolved.  

If you’ve completed my Leadsology Program then you’ll have access to that checklist and you’ll know that it covers off a lot of the obvious characteristics that I look for in a potential webinar swap partner, including that they target the same target market, that they offer advice or a service as opposed to a physical product, and a whole lot more.  

That checklist was a game changer for me because it shifted my business from having approximately one out of ten webinars hitting the sweet spot in the early years, to one in four in later years.  

(By “sweet spot” I mean 100 – 200 registrants for my webinars. But please note that’s my sweet spot because that’s the level I can reciprocate at. Your sweet spot may be higher or lower.)  

But being the dissatisfied and unreasonable bugger that I am, I started to wonder if I couldn’t do even better.  

You know how it is: something is great and life-changing (my original webinar-swap-partner checklist) but then after a while it becomes ho-hum.  

I started to feel like there was a pebble in my shoe about this question: how could I improve on one in four?  

And that’s the question that got me started on JV Juice.  

How was JV Juice developed?

As I was actively pondering that question, I had a flashback to 25 years prior when I was introduced to someone who told me that he was a freelance scientist.  

My father had taught me that if I didn’t know what a thing was, I should just ask and not to worry about appearing stupid. He said that the stupid ones don’t ask for fear of looking stupid and so instead of just looking stupid, they stay stupid.  

So I asked him what a freelance scientist does to fill in his work days.  

He paused for a moment and studied my face.  

He must have decided that the details would be lost on me (true) and so he gave me a “big picture” definition of a scientist, which is as follows:  

“Being a scientist is like standing outside a sports stadium and being able to tell someone what the game is that’s being played inside, based simply on the crowd noise. And if he or she is a really good scientist, they can even tell you the final score.”  

This, without ever seeing inside the stadium!  

Bear that definition in mind because I’m going to swing back to it in a moment.  

In the meantime, fast forward 25 years to me thinking how I could do better than only one in four webinar swaps hitting my “swipe right” sweet spot.  

I didn’t know much about science, but I remember someone saying that numbers never lie.  

So I hired three data-miners and they spent weeks feverishly collating dozens of metrics for each of the 155 webinar swap partners I’d worked with over the previous eleven years.  

By “metrics”, I don’t mean some of the obvious numbers such as how many registrants each partner had generated or attendance rates (I already had that data) but rather numbers like the average “bounce” rate on their websites (that’s the number of people who hit their home page and then leave without exploring further), the average time someone spent on their website, the number of email opt-in offers on their website, the age of their website and a bunch more.  

Surprisingly, this information is available if you are prepared to pay third parties for it.  

Once my data-miners had all of the possible metrics for my previous webinar swap partners I spent hours computing, extrapolating, interpolating, correlating and generally going around faster and faster in ever-decreasing circles, trying to see if a mix of certain metrics could predict a certain level of webinar registrants. 

Needless to say, I got nowhere.  

I’ve often said that in order to be successful we only need to be smart enough to know how dumb we are.  

And after weeks of mind-numbing computations and permutations, I had certainly convinced myself that I was data-dumb and that I needed help.  

And that’s when I had the flashback about the definition of a scientist being able to identify the game played in a stadium and the score, without ever getting to look inside.  

What if, I wondered, I could get a data scientist to figure out the likely “score” from the mass of metrics I’d accumulated, even before I started a “game” of webinar-swap?  

In other words, could a data scientist figure out how many registrants a potential webinar swap partner was likely to generate for me, even before I approached them?  

I decided it was worth continuing to tilt at this particular windmill, only this time with real scientists’ brains and not with my tiny little marketing brain.  

So I hired two data scientists (it always pays to hire two of anyone so you can benchmark them and compare their results before selecting the best one) and I gave them both access to all the data from my long history of webinar swap partners, all the metrics my team of data-miners had mined, as well as access to specialist diagnostic platforms (all of this at a cost of over well over $3,500 a month – ouch!) and then I let them play with numbers for several months, checking in with them each week to review progress and talk about ongoing testing options.  

BTW: I also gave each data scientist my “hunch” as to the metrics that I thought would correlate to certain registration numbers. For example, I figured that if someone had more email opt-in offers on their website and those offers were of high quality, then that would be one metric (number of high-quality email opt-ins) that would indicate a higher number of email subscribers associated with that website. Sadly, my hunches were completely useless ☹.  

As mentioned, I hired two data scientists and set them loose to crunch and correlate.  

Here’s a partial list of the metrics that they considered during their anally retentive activities:  

1. Number of email opt-ins on website

2. Average duration of visits

3. Number of visits

4. Number of unique visits

5. Alexa ranking

6. Age of website

7. Organic keywords

8. Average visit duration

9. Average page visits

10. Bounce rate

11. Traffic percentages by source

12. Using PPC

13. Number of no-follow back links

14. Number of follow back links

15. Number of referring domains

16. Traffic by country

17. Blogger – yes or no

18. Podcaster – yes or no

19. Ahrefs ranking

20. SEM Rush ranking

21. Referring I.P.s (don’t ask, I have no idea)

22. Anchor teams (ditto – go find a geek and ask them)

23. Number of emails per week sent from domain URL  

To cut a long story only a little bit shorter, one of the data scientists isolated seven of the above metrics that he thought were possibly, maybe, perhaps, indicative of email list size and therefore of the likely number of webinar registrants that a prospective partner may be able to generate.  

But as the weeks went by, we realized that we were still way off in terms of the accuracy of our predictions and that we needed more than just those seven metrics.  

That’s when the other data scientist had a masterstroke (by this stage I had them collaborate because I couldn’t figure out which one was better than the other).  

Hold on to your hat because this gets hot and heavy…  

Data scientist #2 applied a six month averaging formula to three of the seven metrics and then he further refined the results by eliminating any months that contained aberrations.  

That immediately increased the accuracy of our predictive capability and our predictions were suddenly much closer to the mark.  

But not close enough.  

Both data scientists then agreed that some of the seven metrics were more consequential than others and so they gave each of them a "weighting" and produced a percentile score for each one and then they worked out an algorithm (a.k.a. “a bloody big formula thing”) that they applied to the seven percentiles and bingo … they/I/we hit the jackpot!

By working back from the 155 webinar swaps we’d done, and by applying the new algorithm to the seven winning metrics, we could/can/will/do predict to around a 75% degree of accuracy, whether a potential webinar swap partner will yield either:  

a) 00 – 49 webinar registrants

b) 50 – 99 webinar registrants

c) 100 – 199 webinar registrants

d) 200 or more webinar registrants  


What this means for me is that I’ve gone from one in four webinars swaps hitting my sweet spot to three in four and we enjoy a significant jump in new client flows as a result.  

How do I use JV Juice?

JV Juice is very easy to use.  

You simply input the website URL of a prospective webinar swap partner (and a few other details from our drop down menus), and JV Juice uses a series of things called "APIs" and extracts the seven metrics for that website using various third party platforms and then applies a weighting to each one. JV Juice then runs the combined total through our algorithm and returns a prediction as to how many registrants your partner will likely generate for your webinar or online event.  

And it does all of that in literally a fraction of a second. In fact, the prediction is pretty much instant.  

Even if you had the algorithm, JV Juice saves you or a data miner hours of work every week and thousand of dollars a month in subscriptions, that I pay, to the third party websites where we get the metrics from.  

In addition, JV Juice allows you to skip the eleven years and 155 webinar swaps that I went through.  

JV Juice is like going to the head of an eleven year queue!  

How accurate is JV Juice?

As mentioned above, I’m confident that the range of registrants estimated by JV Juice is 75% accurate. That means that JV Juice's predictions should be accurate three out of four times and if that proves not to be the case, then I’ll give you four JV Juice search credits any time you have more than one out of four predications that proved inaccurate.  

Are there any variables the I should know about?

Please be aware that JV Juice is making predictions based on certain assumptions over which I have no control.  

For example, if you promote a webinar that commences at 9pm in the main timezone of your webinar swap partner’s demographic, you’ll sadly find that registration numbers are lower than predicted by JV Juice which assumes a 4pm start time.  

Likewise, if you hold a webinar on a Sunday the JV Juice predictions will not hold up.  

Also, if only one webinar email invitation is sent out instead of the recommended two, then registrants will be lower than predicted.  

Similarly, if your email is peppered with spam-filter-triggering words such as “free” or “enlargement” or “lottery” or “Nigerian prince wants to give you $20 million”, then your email invitations won’t get through to the intended recipients and therefore your registrion numbers will be lower than predicted, which I'm sure will not be a shock to you.  

Please also note to that you should try and not run webinars during school holidays or during weeks that are shortened due to a public holiday. Both of those factors will drop your registrant numbers.  

BTW: how well the emails were written is not a significant factor provided your email invitations are succinct and clearly state the benefit of attending.  

Lastly, if a website doubles as a membership site then the JV Juices predicted number of registrants will be on the high side because visitors typically stay on a membership website longer than a non-membership website and that artificially inflates two of our seven metrics. However you can easily spot a membership website because it will have a log-in link or window on the home page, normally on the top right hand side.  

How does your guarantee work?

J V Juice is robust and as mentioned, I claim a 75% accuracy rate.  

If you find that more than three out of four predictions are significantly inaccurate then I’ll credit you with four JV Juice searches to replace each of the duds, outside of the expected one in four that will be inaccurate.  

I’ll ask you to provide some basic information to help me figure out where we went wrong. Things like the of number of registrants (date-stamped screen shots are fine or PDF webinar platform reports) as well as copies of the email invitations so I can figure out if the fault lies with JV Juice or with your campaign.  

But don’t worry, if you want credits, you’ll get the credits, regardless of whether or not you supply those screen shots.  

What sort of return on investment can I expect?

This is an easy one because I’ve tracked our numbers and I can tell you categorically that on average, one ‘sweet spot’ webinar swap partner yields the following results: 

  • An increase in our email list of 127 subscribers 
  • Three new clients 
  • Sales of $23,241

When you read my guide for figuring out your best subscription option (see below) you’ll see that if you want one sweet spot webinar swap a week, I’m going to ask you for an investment of only US$395 a month.

That’s less than a hundred bucks a week – in fact it works out at $91 a week because on average there are 4.33 weeks in a month.

That may still sound like a lot to you … until you consider that in return for that $91 a week my average webinar swap is generating over $23,000 in sales.

But let’s assume you don’t do as well as my average.

Maybe your price point is lower or maybe your email list size is smaller.

So, let’s assume that you only do 20% as well as me. You still get to generate US$4,648 for the $91 a week that you invest in JV Juice.

That’s a return of over 4,000%.

If you can find a better ROI than that, please let me know and I’ll invest!  

How many predictions do I need to keep my prospect pipeline full?

Packages are available in multiples of twelve predictions/searches per month. That’s 12 predictions of how many registrants a potential partner will generate for your online event.  

That’s because our statistics indicate that twelve JV Juice searches will result in one successful webinar swap.  

That may seem like a lot of searches to produce one sweet spot webinar swap, so let me explain how the numbers play out for me, so that you’ll have a realistic expectation of which subscription level will meet your objectives.  

When I complete twelve searches, I get an average of six that JV Juice predicts will hit our sweet spot.  

You may do better or worse but if you use the guidelines contained on our JV Juice membership site (it’s above the window when you complete a search so it’s easy to follow) then you’ll probably bat about the same.  

So, 12 searches give me 6 “sweet spot” prospects.  

6 prospects are then approached.  

3 respond positively and book a time to meet.  

2 show up and want to talk about a webinar swap - at some point.  

1 goes ahead with a webinar swap within 15 – 60 days.  

In summary therefore: 12 JV Juice searches safely yields me one successful webinar swap in a relatively short space of time. You will pick up more swaps later from some of the “strays”, but I never count on them.  

Therefore, before you sign up for a specific subscription level, I recommend that you work backwards from the number of ‘sweet spot’ webinar swaps you want each month.  

If you want one sweet spot webinar swap a month, then sign up for 12 searches a month.  

If you want two a month, sign up for 24 searches a month.  

If you want three a month, sign up for 36 searches a month  

If you want four a month (one a week = “I like”) then sign up for 48 searches a month.  

What are the terms of service?

These are spelt out on our order page and you’ll be asked to sign digitally to say you agree to them and that way we can send you a copy of them along with your order confirmation. That way we’re all clear on what we’ve agreed to.  

1. You can cancel your subscription at any time by clicking on the “Cancel” link in the User Panel that's easily accessable from your JV Juice Home page. We make it easy to find so you don’t get frustrated looking for it.  

2. You can upgrade or downgrade to another subscription level on the monthly anniversary of our fee payment by using the relevant links, also found in User Panel.  

3. Credits don’t expire for 12 months so you don’t have to worry about using them up fast.  

4. You will have access to all data within your account but please be aware that all data is the property of the owner being ESP Corporate Pty Ltd trading as Tom Poland International and may be used in any way that the owner chooses. You are of course also free to use the data in your own account in whatever manner you choose.  

5. If you decide that JV Juices predictions were significantly inaccurate in more than three out of four searches, then I’ll credit you with four free searches for each inaccurate prediction that falls outside of the one in four inaccurate predictions that we estimate will occur. I’ll ask you to provide some basic information to help me figure out where we went wrong but rest assured, even if you can’t find all the data I need, if you want the credits, I’ll give you the credits with no fuss or bother.  

6. Outside of #5 above, there are no refunds of fees paid under any circumstances however you may choose to transfer credits to someone else and we’ll arrange that for your nominated transferee.