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natural language processing

Finding frequently asked questions in Google with Natural Language Processing

It's pretty clear that Google searches are a key way people find businesses.  35% of referral traffic comes from search, versus 26% from social, a difference that appears to be growing.  

  • Ben Batorsky
6 min read
Interactive Visualization

Visualizing business categories across Facebook, Yelp and Google

In the process of building business profiles on social media platforms, choosing the right businesses categories plays critical role as it helps potential customers find the business right away. However, the task is

  • Jing
4 min read
models

Talks on probabilistic modelling from tech @ ThriveHive

In the past month or so we've been giving talks and workshops on one of our projects to predict customer spend on different digital marketing services.  Briefly, the project aimed to use

  • Ben Batorsky
1 min read
models

Interpreting machine learning models: Picking low-hanging business insights, Part 3: Getting results

In the previous blog posts we talked about interpretability in machine learning and how to set up your machine learning question.  We also discussed a bit about the application to ThriveHive's data.

  • Ben Batorsky
7 min read
models

Interpreting machine learning models: Picking low-hanging business insights, Part 2: Asking questions

Interpreting machine learning models: Picking low-hanging business insights Part 2: Asking questions In the previous blog post we examined the importance of interpretability in machine learning models and how to interpret the parameters

  • Ben Batorsky
5 min read
models

Interpreting machine learning models: Picking low-hanging business insights, Part 1: Linear thinking

ThriveHive has been putting out a couple of exciting infographics based on some of our work here on the Data Science team.  I thought it might be worthwhile to dig into the

  • Ben Batorsky
5 min read
natural language processing

Identifying product mix, part 2: Implementation

In the previous post, we outlined one of the major challenges facing analytics here at ThriveHive; segmenting a business population that may not fall neatly into existing classification systems.  We came up

  • Ben Batorsky
5 min read
natural language processing

Identifying product mix: A bottom-up approach to segmenting a small business population

Part 1: Set up Typically methods for segmenting businesses have relied on standardized industry classification systems (e.g. NAICS).  However, the limitation of a top-down industry classification system is that it does

  • Ben Batorsky
3 min read
social media

What are the major social traffic drivers for ThriveHive small businesses?

 Small businesses (those employing less than 500 people) make up the majority of firms (>99%) and the majority of new jobs created in the last 10 years.  As such, they're

  • Ben Batorsky
2 min read
commentary

Two Myths, Debunked: Why Data Analytics isn’t just for Big Business

We're already two months into 2018, so this isn't one of those new year crystal ball prediction blogs. Let's all agree to leave those in the rearview for at least another 10 months!

  • Ben Batorsky
2 min read
natural language processing

How the Words Used in Email Subject Lines Relate to Open Rates

 Previously, we found that the association between subject line length and email open rate varies by industry. In this blog post, I will use the same generalized linear model (GLM) to examine

  • Ben Batorsky
3 min read
email

What Impact Do Email Subject Lines Length Have on Open Rates?

  Previously, we found that ThriveHive customers' email campaigns achieve open rates significantly higher than the industry standard. This difference, however, varies by industry. For example, Computers & Electronics and Entertainment & Events

  • Ben Batorsky
3 min read
news

How Do ThriveHive Users’ Email Marketing Stats Compare with Industry Standards?

Despite the proliferation of social media sites and connected apps, email still remains the marketing channel with the highest return on investment. According to the Direct Marketing Association, email has a median ROI

  • Ben Batorsky
2 min read
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