How One of top VOIP Brand Saved 21% of their Media Spends using DataPOEM.

Brief to DataPOEM

Being one of the Top VOIP providers in the world, the brand generates a high amount of leads from many sources, the biggest problem was to to identify which channel is contributing to more Marketing qualified leads and the crss channel impact of marketing activities.

Input Data

Below is the Data we have taken as an input.

1. Digital Media Data

We have taken access to all the advertising platforms used our APIs to fetch the data automatically to avoid any data loss.Digital Media Data from Company (Facebook, Google Ads, Microsoft, DV 360, Linkedin Ads)

2. Channel Partner Data

other demand generation channels data that the brand has invested in

3. CRM Data

Marketo access and relevant metrics and statistics for Outbound / EIMS

4. SFDC

SFDC API access

5. Web Analytics Data

We have taken web analytics access i.e GA360 used our APIs to fetch the data

6. Market Place spends data

We have taken the spend data that the brand is spending on Amazon Ads.

7. Print Advertising Data

Daily Data of the print advertising that the brand promoted.

8. Retail sales data

Weekly Sales data of retail channels.

9. Macro Economical Factors

Brand Category Search Data.

10. Holiday

US Federal Calender

Strategy

The platform fetched the data from different platforms with as much with daily granularities at campaign/ad group/stage/city with all the key metrics and ingested the data to identify what is impacting the MQLs and the impact of marketing activities on channel partner leads.

We have built 10+ models before finalizing the best model that gives 97% accurate attribution of the marketing channels.

Output

The client was able to see the omnichannel attribution of their marketing spending on the sales

The client was able to identify what marketing channel is impacting their channel partners leads

The client was generate the plan and execute to drive better performance

The client was able to test the hypothesis they have on the media mix of their marketing activities

The client identified the no impact marketing activities and saved the costs.

Results

21% savings on the media spend by delivering the same results.

Scenario planning with 15+ hypothesis.

94% Accurate model results.