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I think comparing free trial conversions is a little bit misleading. It would be more complete if you looked at the customer LTV (life time value). People love free stuff, so there is a probability that some of the free trial customers converted through the landing page are random clickers. If you have the data, I would love to see the results after a couple of months.
Hey Ryan I have been using ZingChart for a very long time now.
Could you suggest me some tools other than you have already mentioned!
Happy to hear it!
Usually behavior-based ladders are more effective, but the real "secret sauce" is using both together: combining behaviors with time data.
As a simple example: people who visited your sales page (behavior) in the last 2 days (time). You could give them a discount or free trial offer and have your frequency capping set pretty high just for those 2 days, then drop back down to a less aggressive frequency cap and switch to ads that reinforce some specific benefit.
I'm surprised to see there are some tricks here that I haven't used before. I'll probably eventually use both, but would you recommend starting with the behavior-based ladder or the time-based one?
I'll follow the discussion and leave this link here: https://median-ads.com/en/guides/guide-to-quora-ads/
I'm wary of such services in general.
There is no surety, as to how many users/ customers/qualified signups etc you might expect in X time frame and there is no 100% money back guarantee if whatever they do doesn't result in any meaningful traffic.
But more than that, I'm confused as to the positioning of these services.
If you're an early, bootstrapped startup, any money you have to spend, should be spent trying to understand if you have a product that solves a problem. Your main concern here is not press coverage.
If you are not as early and are a little further along with a small base of passionate users, you are trying to get to product/market fit. Press coverage is not your main concern here either.
[Side note: Its fair to assume that if you have users that love your product, they will talk about you to their friends and family. This is the best marketing possible at this stage as this helps move you towards product/market fit.]
If you've found product/market fit, and are ready to scale, then yes, you're at the point where you're looking for press and PR and doing a "marketing launch". This involves more effort than simply submitting your startup to certain directories and having someone pitch your startup to a few publications.
I recommend reading this post (and the discussion on GH) on what's actually involved here: https://growthhackers.com/articles/why-most-startups-dont-get-press/
So I can't think of one stage in a startup's life cycle that you would use such services - they seem either unnecessary or inadequate based on which stage you're at.
Some of the basic mistakes when starting working with Adwords mistakes. I would add devices (I.e. if your site runs super slow on mobile) and audiences (i.e. if your intent is prospecting customers but you are not excluding your client list).
Good tips. Subtitle could be "How Google's default options make you waste ad spend".
Interesting article, very good points. Evaluation of incremental revenue and incremental cost can help you decide whether you should launch a campaign in the first place. However, it makes even more sense to use these metrics for your ongoing marketing activities. Measuring incremental revenue in real time will help you prioritize between your marketing campaigns and channels. Controlled experiments provide an optimal framework for such measurement.
This is awesome. Thanks for the info!
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