Using Data Science to find and convert more of your perfect customers at scale.
Help us deliver this for you, giving us feedback below.
WHAT IS THE PROBLEM
Large brands and businesses use teams of data scientists to locate and target large audience segments that match the profiles of their best existing customers. They also map how and when to market to those audiences to maximise conversion and ROI.
Mid-sized businesses, SMEs and funded scale-ups do not have the required budgets to employ teams of data scientists to do this and are therefore at a significant disadvantage.
A data science department will:
- Build Ideal Customer Profiles (ICPs) and define their attributes (People)
- Develop and test messages that resonate the most for purchasing (Intent)
- Map where to communicate those messages (Channels)
- Identify when to amplify those messages (Timing)
While much of this work can be done through manual analysis, some subjective conjecture and limited analogue testing. Data Science will get to better answers faster, in a more consistent way and based on empirical data and scaled testing.
WHO IS PG FOR
This product is designed for marketers, funded founders and mid sized business owners that have more than 5k pcm to spend across all channels, that work in either b2b or b2c and want to improve the targeting and effectiveness of their digital marketing.
Existing customer data, a customer data platform or large scale ICP insight work are not required.
HOW DOES IT WORK
Artios extracts data from Reddit, X, Panelists and TikTok. Statistical processing is applied to build audiences and inform insights, helping our customers to reach their audiences with laser focus.
Sample size: Minimum of 10,000 per audience segment.
Demographics: Age, Region, Gender, Income (B2C) / Budgets (B2B)
Variables: Preferences stated in terms of product/service features, websites, podcasts, influencers, seasonality, and other variables relevant to reaching your perfect audience
WHAT DOES IT DELIVER
Customers receive reports on
- Profile Attributes/Interests with sizing
- Right Message
- When to talk to them (time of year/week/day)
- Which Channels (where they can be found)
such as:
- Interests
- Messaging to be focused on product attribute
- Social media groups
- Podcasts
- Blogs
- Times of the day/week/year
With demographic breakdown: Age, Region, Gender, Income (B2C) / Budgets (B2B)
WHAT DOES IT COMPARE TO
This compares to studies a Marketing Scientist working for a multinational company would undertake to determine the same insights.
HOW LONG DOES IT TAKE TO DELIVER
4 weeks per audience ICP per region.
WOULD YOU PAY FOR THIS SERVICE
Yes/No
HOW MUCH WOULD YOU PAY FOR THIS SERVICE?
So we get pricing feedback from the market