It would be interesting to have a widget that people could embed in their web pages. The widget could simply calculate provisions for a given conversion/duration. Another variant could ask people if they thought the currency was going to strengthen or weaken and use this to give a forward looking estimate, and not just on historical data. Actually, we could combine the two.
The widget should provide something useful (as above) and have a link to our article on how we calculate the provision. This would be a great way to bring people back to the site and introduce the complete tool ($$)
Friday, August 20, 2010
Marketing chanels
Funnel strategy part 2
I am starting to think that there is not much sense in limiting the features of the free trial. The strategy hinges on the user falling in love with the service, and then realizing that he can't live without it. It makes no sense to limit the features in the trial period:
- The user would have less features to get hooked on
- It would actually be more work for me to disable the features.
Monday, August 16, 2010
Funnel strategy
I am reading Patrick McKenzie's excellent blog that describes the process he went through when starting his micro independent software vendor business. In this post, Patrick describes his strategy for converting people looking for bingo cards into paying customers. He wants to give cookies away, then offer milk for free, but sell the pail needed to get the milk home. It's a great post, so I won't describe the details here but do recommend you read it.
I decided to analyze my intended conversion strategy, which I must say I spent all of ten minutes thinking about - in the shower, against Patrick's successful and well reasoned approach.
My strategy is to:
After the shocking realization that my strategy was flawed, I sat down and tried to improve. The goal of this tool is to help evaluate the risk of making time based commitments. The longer the duration of the commitment, the greater the financial risk. With this in mind, I decided to slightly modify level 2 as described in bold below:
The second stage is not nearly as useful to users as before, but it does give the user a solid 'taste' of the milk.
The short trial should be more effective at converting users to customers since the customers who will benefit most are those with the longer validities. I think a two week period might even be better (a lot of 30 day offers are made), but I also think that getting three weeks of updates should get the user solidly hooked on the information (AB testing!!!). In this version the user can see how the process would be very useful and can even get hooked on the service, but tracking the exposure for three weeks is basically useless for those who need it most. Yes, the user can manually recreate the exposure and effectively get the same service, but this is like having to stop every quarter mile and pour the milk from one disintegrating cup into a new one. The user may do this once, but the next time the cup is falling apart, I think he would pay a small sum to a person standing on the side of the road with a nice pail and some chocolate powder to boot, knowing that he will have to change the cup several more times before he gets home.
Finally, we would have to test the effect of informing the customer that he can renew his exposure manually, or just thanking him form trying our service.
I decided to analyze my intended conversion strategy, which I must say I spent all of ten minutes thinking about - in the shower, against Patrick's successful and well reasoned approach.
My strategy is to:
- Provide a tool to easily analyze currency risk. The analysis, will be slightly limited due to 'server resources' and therefore, the answer may not be as accurate as a paying customer would get, but still very useful (~90% of the solution). The user can have the analysis from the web page after selecting two currencies and a duration. The key result is single figure representing the safety factor to be used when calculating the price of an offer. Additionally, if it helps, some eye candy, in the form of supporting graphs can be displayed as well (ab testing goes here...).
- If the user would like to save this exposure and get weekly updates on the evolution of the risk, then he/she can create a free user account. The user can log in to see the status of his exposure at any time, he can create additional exposures as well and furthermore, he can select to have weekly status updates mailed to him. The updates will include links to relevant articles in our knowledge base section as well as a reminder that the risk factor accuracy is slightly limited due to excessive resources that are required for the full analysis and a call to action to sign up and rectify that issue.
- If the user signs up, he will get the full-bore analysis, which will result in more accurate provisions, which should matter to people using these in actual business cases. The error factor can be from hundreds to thousands of dollars or more, depending on the sum at risk. Also, the user can group exposures for multiple currencies so that the net effect for a single offer can be evaluated. These two features are aimed at reducing risk, the who goal of the exercise, and making it easier to do that task.
- Giving away a sip of milk.
- Providing some milk and a glass that leaks a bit in return for the effort of creating a user account.
- Selling chocolate milk and a pail, that makes taking the milk home much easier.
After the shocking realization that my strategy was flawed, I sat down and tried to improve. The goal of this tool is to help evaluate the risk of making time based commitments. The longer the duration of the commitment, the greater the financial risk. With this in mind, I decided to slightly modify level 2 as described in bold below:
- Provide a tool to easily analyze currency risk. The analysis, will be slightly limited due to 'server resources' and therefore, the answer may not be as accurate as a paying customer would get, but still very useful (~90% of the solution). The user can have the analysis from the web page with just inputting two currencies and a duration number (integer). The key result is single figure representing the safety factor to be used, but if it helps, some eye candy, in the form of supporting graphs can be displayed as well (ab testing goes here...).
- If the user would like to save this exposure and get weekly updates on the evolution of the risk, then he/she can create a free user account. The user can log in to see the status of his exposure at any time, he can create additional exposures as well and furthermore, he can select to have weekly status updates mailed to him. The updates will include links to relevant articles in our knowledge base section as well as a reminder that the risk factor accuracy is slightly limited due to excessive resources that are required for the full analysis followed by a call to action to sign up. The duration over which any exposure will be tracked is limited to three weeks, at which point, the user will receive an email notification explaining that due to limited server resources, free account exposure tracking is limited to a maximum of three weeks. The user can manually create a new exposure to continue tracking his risk or sign up for the paid service.
- If the user signs up, he will get the full-bore analysis, which will result in more accurate provisions, which should matter to people using these in actual business cases (the error factor can be from hundreds to thousands of dollars or more, depending on the sum at risk. Also, the user can group exposure for multiple currencies so that the net effect for a single offer can be evaluated. These two features are aimed at reducing risk, the who goal of the exercise, and making it easier to do that task.
- Giving away a cookie.
- Providing some milk and paper cups that will dissolve on the way home in return for creating a user account.
- Selling chocolate milk and a pail, that makes taking the milk home much easier.
The second stage is not nearly as useful to users as before, but it does give the user a solid 'taste' of the milk.
The short trial should be more effective at converting users to customers since the customers who will benefit most are those with the longer validities. I think a two week period might even be better (a lot of 30 day offers are made), but I also think that getting three weeks of updates should get the user solidly hooked on the information (AB testing!!!). In this version the user can see how the process would be very useful and can even get hooked on the service, but tracking the exposure for three weeks is basically useless for those who need it most. Yes, the user can manually recreate the exposure and effectively get the same service, but this is like having to stop every quarter mile and pour the milk from one disintegrating cup into a new one. The user may do this once, but the next time the cup is falling apart, I think he would pay a small sum to a person standing on the side of the road with a nice pail and some chocolate powder to boot, knowing that he will have to change the cup several more times before he gets home.
Finally, we would have to test the effect of informing the customer that he can renew his exposure manually, or just thanking him form trying our service.
Introduction
For the last several months, I have been working on a simple web app that would make a few of my daily tasks as a risk manager simpler and even done in a better way. This blog is a place for me to document some of the solutions to problems that I have overcome as well as some of my decisions so that I can recall the logic behind them months later.
I am publicizing this information simply because I have benefited tremendously by others doing the same.
I am publicizing this information simply because I have benefited tremendously by others doing the same.
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