Leveraging Insights For Today

Problem: Marketing agencies are constantly looking to improve ROAS (Return on Ad Spend) to deliver value back to clients. Whether promoting through traditional or digital channels, a new product or an existing one, targeting in-store shoppers or click-and-collect shoppers, all agencies are looking to improve ROAS. The challenge is bringing to light the lift in sales a product generated during an active marketing campaign.

Solution: Atlas’ LIFT platform enables marketing agencies to connect product sales to their marketing execution strategy through granular item/store-level insights.

Atlas is your data expert. We consume multiple disparate datasets, harmonize, cleanse and validate the data, then
place it into our data integration platform ready for analysis. Our engineers and data scientists have built a marketing
analytics solution that allows agencies to analyze and optimize marketing campaigns through data-driven insights.
Problem:
Marketing agencies are constantly looking to improve ROAS (Return on Ad Spend) to deliver value
back to clients. Whether promoting through traditional or digital channels, a new product or an existing one,
targeting in-store shoppers or click-and-collect shoppers, all agencies are looking to improve ROAS.
The challenge is bringing to light the lift in sales a product generated during an active marketing campaign.
Solution:
Atlas’ LIFT platform enables marketing agencies to connect product sales to their marketing
execution strategy through granular item/store-level insights.
Atlas is your data expert. We consume multiple disparate datasets, harmonize, cleanse and validate the data, then
place it into our data integration platform ready for analysis. Our engineers and data scientists have built a marketing
analytics solution that allows agencies to analyze and optimize marketing campaigns through data-driven insights.
Probem
Marketing agencies are constantly looking to improve OAS (Return on Ad Spend) to deliver value
back to clients. Whether promoting through traditional or digital channels, a new product or an existing one,
targeting in-store shoppers or click-and-collect shoppers, all agencies are looking to improve ROAS.
The challenge is bringing to light the lift in sales a product generated during an active marketing campaign.
Solution:
Atlas’ LIFT platform enables marketing agencies to connect product sales to their marketing
execution strategy through granular item/store-level insights.

Functions That Put You in Control:

Be Informed – Get access to rolling marketing insights with Atlas’ Weekly Campaign Tracking report. Enable your team to be ‘in the know’ with near time campaign progress reports, allowing marketers to make adjustments in reaction to how the market is responding to ensure every campaign is delivering results.

Understand your Audience – Take your post-analysis one step further with Atlas’ audience insights. Combine geographic data with store demographic traits and sales data to understand the audience the campaign attracted. Optimize your campaign at any time to target the most responsive demographic segments.

Strengthen your Position – With our domain knowledge of store level data, clients are relying on Atlas to group and set their control market. Atlas has built out a dataset of traits each store possesses to easily cluster similar stores for a more defined control group testing.

Broaden your Execution Strategy – Agencies can now distinguish whether the item sold went out the front door vs. the back door. Marketing execution strategies can now include promotions at click & collect stores in designated market areas (DMA).


Optimize your Insights – Agencies can gain access to Atlas’ Data Scientists to analyze post-campaign trends by layering additional datasets to campaign performance data providing marketing agencies the ability to offer optimized insights.


Build Credibility – Agencies are enabled with a competitive advantage by validating ROAS (Return on Ad Spend) with UPC store-level sales measurement data.

Key Features

Campaign Planning & Development

  • Define Objectives, Brands, Target Markets, Channels and Stores
  • Harmonize Disparate Data Sources (i.e. Syndicated, Weather, CDC, etc.)
  • Test and Control Markets
  • Develop the Offer and Timing
  • Use Campaigns to Control Inventory Levels

Campaign Monitoring

  • Sales Lift (Online and In-store)
  • A/B Testing
  • Feedback and Alerts
  • Determine Conversion Rates
  • Performance Comparisons (Clicks vs Bricks)

Evaluate and Refine

  • Apply Data Science to Measure Campaign Effectiveness
  • Integrate Brand Attribution for Faster Insights
  • Review Audience Insights to refine future campaigns