Your tool sends blasts.No revenue engine.
Your 'automation' is a drip from 18 months ago. Your list charges rent on dead addresses. None of it knows who is about to buy.
4.5on G2
A contact database that charges for every address, active or dead.¹
Hire a lifecycle consultant ($5K) to set up welcome, cart, and win-back.²
Personalization means 'Hi {first_name}.'
A/B tests run 3 weeks because your tool can't reduce variance.
Recommendations mean 'also bought' — the same widget since 2019.
Pay per send. Dormant profiles cost nothing.
Tell Blu your store URL. Flows are built, targeted, and ready to review.
Personalization means a different page, offer, and product — based on what they actually did.
CUPED variance reduction cuts experiment time by 20–40%.³ Ship winners faster.
Collaborative filtering on your actual catalog. Updated with every session.
THE OFFER
Here's what this stack costs you today.
Total value
$0/yr
Your price
$0
10K emails/mo. Pay per send. Blu builds the flows. Free to start.
No credit card required
The marketing stack your agency was about to bill you for
Journey builder (all channels)
Email, SMS, push, in-app — drag and drop
10K emails + 1K SMS + 1K push/mo
Included on free tier
Segments + personalization
Rule-based, auto-updating, visual editor
Recommendation engine
Collaborative filtering on your catalog
The lifecycle consultant you were about to hire
Blu builds 5 lifecycle flows
Welcome, cart, win-back, browse, re-engagement
Channel optimization
Email-first, SMS where it lifts
Copy + subject line generation
On-brand, per-flow
Ongoing optimization
Credits left over for A/B tests and tweaks
Five marketing products. One customer profile. Blu runs it.
Personalization, journeys, experiments, recommendations, and workflows — connected to your product data. No stitching tools that do not share data.
Tell Blu your store URL.
Lifecycle flows, built and targeted.
Blu reads your catalog, your segments, and your purchase data. It builds welcome, cart, win-back, browse, and re-engagement flows — targeted by predicted purchase likelihood, not last-open date.
5 lifecycle flows built from your store URL
Welcome, cart, win-back, browse, re-engagement — ready to review
Copy and subject lines generated on-brand
Blu reads your site and matches your voice
Targeting by predicted purchase likelihood
Not who opened recently — who is most likely to buy
Built for the outcomes that matter.
Three marketing use cases teams run on Intempt.
Connect every trusted source.
Plug into the tools your team already runs on.
%201.svg){kind=logo}
%201.svg){kind=small}
Certified & Compliant
Your customer data stays yours, and stays secure.
The teams that made the switch
“We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim Stromberg, CEO
StockInvest
Case Study
StockInvest needed to turn anonymous traffic into registered users before any retention strategy could work. With Intempt's Experiences, they personalized the anonymous visitor flow, surfacing the right content and CTAs to boost signup conversion. Once users signed up, automated Journeys nurtured them through onboarding and deeper engagement, steadily increasing lifetime value.
FAQ
Frequently asked questions
Everything you need to know about Intempt for marketing teams.
The per-contact model charges you rent on dead addresses. 40–60% of your list never opens.¹ Intempt charges per send — you only pay when someone is worth reaching. And Blu targets by predicted purchase likelihood, not 'opened in last 30 days.'
Sources
- 1.MailerLite, Benchmark Email (2026). Average open rates 31–43% (with Apple MPP inflation); actual human opens may be 13–18% for e-commerce.
- 2.Flowium, Isometrik. Email automation setup projects range $2,000–5,000; full-service lifecycle strategy $3,000–25,000.
- 3.Deng et al. (Microsoft Research, 2013), Eppo, Statsig. CUPED achieves 7–45% variance reduction depending on covariate selection.
- 4.Klaviyo at 50K contacts ≈ $720/mo; Mailchimp Standard ≈ $450/mo; HubSpot Marketing Professional ≈ $2,915/mo.
- 5.VWO Growth starts at $299/mo for 50K MTU. Optimizely starts at ~$36,000/yr. $200/mo reflects entry-tier pricing.
- 6.Dynamic Yield starts at ~$35K/yr; Nosto starts at ~$500/mo. $300/mo reflects below-market entry point.
- 7.Barilliance starts at $250/mo; Nosto starts at ~$500/mo. Algolia Recommend has usage-based pricing.
Connect your store. Skip the $5K consultant.
Blu builds the flows. You approve and turn them on.