Tie Predict is a shopper intelligence platform for ecommerce brands that converts engagement, behavior, and demographic data into predictions of purchase intent, enabling marketers to target shoppers who are ready to buy. The solution provides identity resolution for both known and anonymous visitors, segment‑based email sending, and inbox placement optimization, helping brands increase revenue from their existing audience.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
eCommerce brands struggle to identify and engage anonymous website visitors, leading to missed revenue opportunities and inefficient email outreach that often targets low‑intent shoppers.
Solution
Tie Predict provides a shopper intelligence platform that resolves anonymous visitors into known profiles, enriches them with demographic and behavioral data, and assigns AI‑driven activity scores indicating purchase intent. The platform integrates with popular commerce and email systems such as Shopify and Klaviyo, automatically syncing enriched contacts and intent scores for real‑time segmentation. Marketers can target high‑intent shoppers with timely email campaigns while the built‑in inbox optimization helps ensure those messages land in the primary inbox. By combining identity resolution, predictive scoring, and deliverability tools in a single credit‑based service, Tie Predict enables brands to increase conversion, improve email ROI, and reduce wasted outreach.
Target Audience
Primary customers are DTC ecommerce brands and growth/retention teams that rely on email, SMS, and paid acquisition to convert website traffic into sales.
Features
- Deterministic identity resolution that de‑anonymizes up to 90% of site visitors using IP, device IDs, and hashed PII
- AI‑generated shopper activity scores that predict likelihood to open, click, or purchase on a daily basis
- Demographic and psychographic enrichment (age, gender, income, marital status) linked to each visitor profile
- Native integrations with Shopify, BigCommerce, Klaviyo, Sendlane, Yotpo and other ESPs for seamless data sync
- Automated creation of new email contacts and enrichment of existing CRM records for abandoned‑cart and lifecycle flows
- Built‑in email warming and inbox placement optimization to improve primary‑inbox delivery rates
- Credit‑based pricing model that scales with the volume of identified visitors and email send capacity