3 Growth Marketing Mistakes and How to Avoid Them - Carney
The Daily Carnage

3 Growth Marketing Mistakes and How to Avoid Them

Growth Marketing Toolbox brings you ways to avoid common marketing blunders. And includes many useful tools, which is always, always a plus.

Remember that red pen that teachers used during school that emphasized a tiny mistake like it was an LED billboard on a highway?

Well crew, mistakes happen. And ya know what? That’s a-okay. We’re experimenters at heart so just shake, shake, shake it off. You better believe we’re currently listening to T. Swift. #hatersgonnahate

More importantly, we have your back, and so does the Growth Marketing Toolbox. The host strays from his normal interview style episode to bring you ways to avoid common marketing blunders. And he includes many useful tools, which is always, always a plus.

Let’s get to it!

(01:40) Mistake #1 – Seeing marketers looking at the wrong data. Step away from vanity metrics like the number of likes and focus on the numbers in totality. Some examples being the cost of acquisition or lifetime value of a customer.

(02:35) Dashboard Tools: Klipfolio (highly customizable), Databox (easy to use), Google Data Studio (free to use)

(06:00) Mistake #2 – Sending traffic to a home page. Doing that is rarely a good idea. Instead, send traffic to dedicated landing pages that matches your paid ad content.

(07:50) Building Tools w/o developers: Unbounce, Lead pages, Click funnels

(09:20) Mistake #3 – Not staying up on trends. But we make sure our Daily Carnage fam doesn’t have this problem (we <3 you guys).

(10:20) News Tools: FB groups or podcasts

Current trends to be aware of:

(11:15) Facebook Messenger. During this year’s Facebook summit there was major talk on the push toward messenger and FB spending considerable time to update it. This is a fairly untapped strategy where marketers should pay more attention because it’s not crowded.

(13:23) Machine learning and how it’s applied to growth marketing. Tons of opportunity here. Google Analytics is using machine learning by providing suggestions on what should be optimized. Meanwhile, chatbots are becoming more sophisticated and better equipped to answer consumer questions.

(14:18) Personalization on websites in action. The most relevant company example right now would be Amazon (start counting how many times we mention Amazon in today’s newsletter). Their site is personalized to the individual user when they are logged in. Other (non-Amazon) concepts involve geo-filtering or geotargeting.

Alrighty, it’s time to turn “oops” into “ah, interesting.”

Anyway, this podcast is short so tune in!

Carnage

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