
See how Dotdigital elevated its customer experience with more signals and insights

The customer experience platform used Inbox Monster to build out crucial deliverability packages—helping their campaigns reach more of their customers’ customers
Impact & Results
519
Blocklist Removals
0.02%
Drop in Average Domain Complaint Rate
19,500
Inbox Placement Reports Generated
New offerings tailored to customer needs
The Dotdigital team has crafted new deliverability packages, fueled by Inbox Monster signals. These “building blocks” go from providing training on the platform itself, allowing for a self-guided approach, to more intensive consulting packages that combine Dotdigital deliverability expertise with the Inbox Monster platform to deliver tailored advice and support.



An informed approach to platform onboarding
Throughout onboarding, Inbox Monster is used as a constant source of feedback during domain or IP warming. These deliverability signals provide a critical safety net as the Dotdigital team works through the warming plan and opens sending up to less engaged contacts. “Inbox Monster is like having a neutral third party-a place we can turn to and show customers, through rich but easy-to-understand visuals, that a problem exists,” said Tam Bond, Head of Messaging Operations at Dotdigital.
Ongoing monitoring & pattern recognition
As brands get more comfortable in the Dotdigital platform, the team uses seed testing to establish patterns and trends for their customers, keeping tabs on month over month performance and leaning on Monster alerts to flag any unusual dips or inboxing issues. Having comprehensive deliverability metrics in one location helps Dotdigital’s team effectively navigate deliverability challenges for their large and complex customer base.

Keeping tabs on DMARC
When the Dotdigital team sees authentication chains break down on the receiver’s side, they use Inbox Monster as part of their detective work. Inbox Monster’s signals help the Dotdigital team identify the source and timing of authentication fails, which allows for quick fixes and a more efficient return to deliverability success.
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