For marketing & growth teams

Your AI is only as smart as the data you  feed it.

AI personalization promises relevant content for every customer. But when your data lives in 6 different tools with 6 different schemas, AI produces "Dear {first_name}" — not real personalization. Boost.space gives AI the complete, structured customer profiles it needs to actually deliver.

AI without complete data

AI Output

"Dear {first_name}, check out our latest products we think you'll love!"

✗ No purchase history✗ No browsing data✗ No support context✗ No ad interactions
Boost.space
Purchase history
Browsing behavior
Email engagement
Support tickets
Ad interactions
CLV score
AI with complete customer profiles

AI Output

"Sarah, your running shoes from March are due for a replacement — here's 15% off the upgraded model based on your training frequency."

Trusted by 15,000 teams & companies across 140 countries

Sounds familiar?

"We turned on AI personalization. It gave everyone the same email with a different name."

Your AI tool sees one data source. Without purchase history, browsing behavior, support context, and ad interactions — it can't personalize beyond a mail merge.

What you expected

"Personalized product recommendations based on behavior"

What you got

"Hi {first_name}, check out our bestsellers!"

Same email sent to 12,000 contacts

"Our email tool says they're active. Our CRM says they churned. Which is it?"

Every tool holds a fragment of the customer story. AI trained on conflicting fragments produces conflicting output — or worse, wrong recommendations.

Email (Klaviyo)
Active
CRM (HubSpot)
Churned
Eshop
Bought 3d ago
Ads (Meta)
Excluded
Support
Open ticket
AI doesn't know who to trust

"Half our automations fire on the wrong triggers because the data is stale."

Your automation says "if last purchase > 30 days, send win-back." But it only sees email data — not the purchase they made last week through the eshop.

Automation trigger

"No purchase in 30 days → send win-back discount"

Reality

Customer bought 3 days ago via eshop — email tool doesn't know

Result: 15% discount to someone who just paid full price

The problem isn't your AI. It's that AI can't personalize what it can't see.

Give AI the full picture. Get real personalization.

Boost.space merges every customer data source into unified, structured profiles — then makes them available to your AI tools, email platform, ad channels, and automation workflows. When AI sees the complete customer, personalization stops being a buzzword and starts driving revenue.

Complete profiles for every AI tool

Unified data from CRM, eshop, email, ads, and support — structured so AI can actually consume it.

Cross-channel behavioral context

AI sees what customers do everywhere — not just in one tool. Recommendations get dramatically better.

Automations that fire correctly

Triggers based on real-time, unified data. No more win-back emails to someone who just purchased.

Personalization that converts

Move beyond "Dear {first_name}" to behavioral triggers, product affinity, and lifecycle-aware messaging.

Unify. Enrich. Activate. Automatically.

1
CRM profiles merged
Purchase history linked
Email engagement joined
Support context added

Unify all customer data

Boost.space connects CRM, eshop, email, ads, and support into one living database. Every profile is deduplicated, enriched, and continuously synchronized.

2
Email AI — full context
Google Smart Bidding — enriched
Meta algorithms — complete
AI agents — structured data

AI gets the full picture

Structured, clean profiles flow into your AI tools — email personalization, smart bidding, audience algorithms, and AI agents all work from the same complete data.

3
Behavioral email triggers
Dynamic ad audiences
Product recommendations
Real-time sync

Activate across every channel

Personalized content, offers, and targeting flow to every channel automatically. When behavior changes, activation adapts in real time.

Customer success story

TLAMA Games saved €8–16K/month from week one.

TLAMA Games

Ecommerce — board games & tabletop

TLAMA Games' marketing team was hitting a ceiling. Google Ads, Facebook Ads, and Sklik campaigns were running — but scaling revenue efficiently felt impossible. Finding a way to grow sales volume while keeping acquisition costs sane was the core challenge.

The solution: Boost.space customer segmentation deployed across all online marketing channels. The results spoke from day one.

€8–16K/mo saved

Year-over-year ad spend reduction from the very first week of deployment

Higher ROAS

Improved return on every crown spent across all marketing channels

Smarter AI targeting

Google Ads "smart" campaigns fed with relevant segment data for both acquisition and retention

+23% CLV in 5 months

Overall customer lifetime value increase — what some eshops work on for years

"We still have a long road ahead and more things to finalize, but I can already say — this is an outstanding performance."

Peter G.

Peter G.

Head of Performance Marketing

The difference at a glance

Before
AI personalization = "Dear {first_name}"
After
Behavioral, lifecycle-aware personalization
Before
Each tool sees a different customer
After
Every tool works from one unified profile
Before
Automations fire on stale, partial data
After
Triggers based on real-time cross-channel data
Before
Generic product recommendations
After
Affinity-based recommendations from full history
Before
AI output you can't trust
After
AI output grounded in complete, structured data
Quick answers

Email tools like Mailchimp or Klaviyo use AI trained on email engagement data only — opens, clicks, and send history. They can't see purchase behavior from your eshop, support tickets from Zendesk, or ad interactions from Meta. Boost.space feeds AI the complete customer profile from every connected source, so personalization is based on the full picture — not one channel's fragment.

Stop feeding AI incomplete data.

One demo. We'll show you what AI can do when it sees the full customer.