Automating Sales Prospecting Emails

Raj Anand, Goodman Lantern

Does writing sales emails take a lot of time out of your day? Each prospecting email can take around ten minutes to write. Wouldn’t it be better to make the process a lot faster?

Analyze Your Mails

Carefully reading through your sales prospecting emails is the best place to start. Find the personalized aspects of your email, and try to automate them!

– Avoid being too personalized – it’s a waste of time.

– Find the personalized sections and analyse them.

– Search for data that could replace the section entirely.

Using the Data

It’s important to ask the right questions to make sure you’re making the best decisions:

– Question 1: Can the personalised section be replaced?

– Question 2: If not, can company or personal data be used instead?

– Question 3: Ifdata not, can a range of data points be combined?

– Question 4: Is it possible to find the data quickly?

Once you have worked through the process it’s time to edit your emails and add in the personalized aspects of your mail. You’ll save time, send more emails, and get more responses as a result!

SAAS Metrics – Easy When You Know How

Raj Anand, Goodman Lantern
Highs and lows in business are normal aspects of everyday operations. Do you waste time by investigating every fluctuation in your metrics? If you focus, you can have far better benchmarking.

So Much Data, So Few Insights?

Natural fluctuations in your key SaaS metrics will happen. It’s vital to know what “normal” looks like for your business. Most startups struggle with this.Knowing what figures to expect from your SAAS Metrics on a normal day can be a challenge.  Analyse how you arrived at the numbers you’re benchmarking against.Be honest – have you done the math or are you visually judging your figures?Guesswork is no way to run a business. Especially when there’s a super-simple way to benchmark your results.

Easy Benchmarks

Take 20 minutes out of your day to do some easy calculations. It’s good to know your averages, but that’s not enough. The “normal” range of figures for your company will fall on your average line, as well as above and below it. Next, you can begin by analyzing the numbers that fall outside of your “normal” range.

Doing the (Easy) Math

You’ll need some calculations. You need to understand your Median, and your Standard Deviation.– Median: This is the number in the middle of your data set. To find it, arrange your data from the largest to the smallest number. If you have an even number of entries, find the average between the two middle numbers.– Standard Deviation: This measures the range of your data. It helps to figure out if your data is pretty consistent, or generally differs a lot. If your data is widespread, you need to have a wider “normal” zone.A note on Averages: These don’t work for making business decisions. Outlying data can reduce accuracy, resulting in misleading results.