Datasheets

Cost of Poor Matching Datasheet

Datasheets that provide the latest information for understanding how LeanData is helping businesses master their complicated lead-flow process.

Issue link: https://leandata.uberflip.com/i/926274

Contents of this Issue

Navigation

Page 0 of 1

The Cost Of Poor Matching What happens when you use just domain matching or sub-standard fuzzy matching? The downstream impact of poor matching is more significant than we imagine. It slows down our sales cycle, we lose deals to competition, or worse to inaction, and finally, we fail to recognize the impact of marketing on pipeline and revenue. PRODUCT SHEET | THE COST OF POOR MATCHING 1 in 4 Leads are incorrectly assigned* 1. You lose or delay deals because Account Executives (AEs) cannot automatically see all new leads that match with their account. Reps spend up to 4-5 minutes reassigning leads that were incorrectly routed. 14% Higher CTR** when emails are personalized ^ 3. Nurture campaigns are incorrectly personalized when leads are matched to the incorrect accounts and the wrong account-level data is appended onto these leads. Imagine sending a lead a prospecting email when she actually works for a company that's already a customer. 57% Companies don't create ideal buying experience* 2. Prospects report a poor buying experience as they get calls f rom multiple SDRs, sometimes when they're in active opportunities with an AE. Without the right matching, outreach efforts are not aligned, creating a negative association with the brand. 15% Less revenue attributed to Marketing with poor matching # 4. Marketing campaigns do not get due credit when leads don't match with accounts and as a result marketing touchpoints on leads are not related to revenue. *LeanData State of Lead Management Report 2017 ** Click Through Rate ^ Aberdeen Group # RevPulse Case Study LeanData matched ~1 million leads with 99.9997% accuracy "We have relied on LeanData to do matching, and we noted an incorrect match three times. Only Three. That's much better than we could have achieved manually." DANITA FLECK Manager of Marketing Operations at Gigamon How Poor Matching Will Cost You Imagine a new lead, Rob Smith, who fills out his company name as "HP" and email as "rob@gmail.com". If the HP account in Salesforce is set up as H.P. or Hewlett Packard, sub-standard matching solutions will not recognize this as a match. The result: 1. Two different reps work on differently spelled account names. That's a disaster waiting to happen. 2. If you auto-create new accounts for non-matches, you may add Rob to a Google account. 3. If you delay or lose Rob's lead, you may end up delaying or losing millions of dollars in potential deals.

Articles in this issue

Links on this page

view archives of Datasheets - Cost of Poor Matching Datasheet