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Every customer has a channel where they engage and one where they ignore you. A Channel Preference Prediction Playbook reads response history across email, in-app, phone, and social to surface the channel where each account is most likely to act, and recommends the contact rhythm that fits.
The Challenge
Outreach defaults to email because it is the cheapest channel to scale. The cheapest channel is also the most ignored. Customers who respond reliably to in-app prompts, calls, or LinkedIn get the same email cadence as everyone else and tune out.
Email opens live in marketing automation. Call outcomes live in the CRM. In-app engagement lives in product analytics. Without joining these, the marketing team cannot see which channel a customer actually responds to versus which channel they tolerate.
Every customer gets the same touch frequency on the same channels in the same order. High-response customers receive over-contact; low-response customers receive a uniform mix that misses their actual preferred path. Conversion suffers on both ends.
How eyko Solves It
A Channel Preference Prediction Playbook reads response history across email, in-app, phone, social, and direct mail. It scores each customer's response probability per channel, ranks the channels per account, and recommends a contact rhythm shaped by the customer's actual responsiveness rather than the team's default mix. The output is a per-account channel preference profile updated as new response data arrives.
The Playbook scored 4,200 active accounts across 5 channels and found that 38% of the base responds at materially higher rates on a channel other than email. 14% of accounts have a strong in-app preference, 12% favor phone outreach, and 8% engage primarily through LinkedIn. The current outreach mix matches the preferred channel on only 41% of accounts.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Channel Preference Prediction identifies the communication channel each customer is most likely to respond on, based on actual response history rather than role or industry assumptions. The Playbook scores every account across email, in-app, phone, social, and direct mail, ranks the channels per account, and surfaces how often the current outreach mix matches the customer's preferred channel so marketing and customer success can rebuild flows around evidence.
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FAQ
Everything you need to know about Channel Preference Profile.
Channel Preference Prediction is an AI-driven analysis that scores every customer on response probability per communication channel (email, in-app, phone, social, direct mail) and surfaces the channel where each account is most likely to engage. The Playbook joins response data across silos, ranks channels per account, and recommends a contact rhythm matched to the customer's actual responsiveness rather than the default outreach mix.
The Playbook reads from your marketing automation (email opens, clicks, replies), CRM (call outcomes, meeting acceptance, opportunity activity), product analytics (in-app event response, notification interaction), and social platforms where outreach occurs (LinkedIn engagement, direct message response). At least 6 months of paired outreach and response data per channel improves model accuracy meaningfully.
Attribution traces which channels touched a closed-won opportunity, looking backward. Channel Preference Prediction looks forward: it predicts which channel a customer is most likely to respond on for the next outreach, regardless of which channels closed previous deals. The two are complementary, but the preference signal is the one that changes how the next campaign is built, not just how the last quarter is reported.
Yes. For each account the Playbook surfaces the recommended channel sequence and frequency based on observed response gaps and tolerance for over-contact. Accounts that respond on phone but only quarterly should not get weekly calls; accounts that respond to in-app prompts may benefit from higher cadence than email. The recommendation includes both the channel mix and the rhythm so customer success can adopt both without separate analysis.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
