Acquisition Aggregator Campaign Database 
Duct Tape Marketing
JUNE 30, 2017
Consider the following: 78% of organizations say data-driven marketing increases lead conversion and customer acquisition ( source ). Data-driven marketing is the ability to analyze your existing data, understand what’s missing, how to segment it and apply it to your marketing campaigns. That’s data-driven marketing.
Occam's Razor
JULY 18, 2011
Analyzing email campaigns requires three important insights: 1. Your campaign data. Ready for the best email marketing campaign metrics? For everything you do it is important to measure your effectiveness of all three phases of your effort: Acquisition. Optimal Acquisition Email Metrics. You can’t track everything.
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ConversionXL
JANUARY 8, 2020
After the acquisition, it started branching out into more areas of data science and analytics. Enter a keyword to search the datasets database. Try the Google Analytics revenue prediction dataset and analysis Notebooks , or the conversion optimization dataset with ROI analysis for Facebook marketing campaigns. ”).
David Teten
DECEMBER 3, 2019
I use another live Google doc to maintain my database of companies I’m marketing to other VCs. We use Google Analytics, HubSpot, and LinkedIn Campaign Manager for the majority of our analytics. I’ve used Asana extensively to manage activities firm-wide. 3) Raise capital. TruthFinder and Intelius provide basic background vetting.
ConversionXL
FEBRUARY 18, 2020
For example, while the data aggregation process in Google Analytics seems like a “normal” feature, it might be a hurdle if your business needs to process data at the hit level instead of by sessions or campaigns. English-only audience, those who saw your last ad campaign, etc.). Attribution modeling. Customization.
Occam's Razor
FEBRUARY 7, 2011
So use unique phone numbers (specific to campaigns if you want granular details)… leverage unique coupon / campaign / offer codes… get good at geographic targeting… become a God of controlled experiments. What's the best way to aggregate to understand clearly how to improve? 7 Best Practices, Bonus Tips.
Occam's Razor
APRIL 19, 2010
experiment with p type of campaigns. Now when I do analysis of my performance (not just in aggregated but segmented by geo and campaign and source and…) I'll know if our results are good or bad or ugly. In aggregate almost all data is useless (like # of Visits). identify broken things in m. They are priorities.
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