We didn't build better tools. We built new categories.
AI Pipegen. Lifecycle Revenue. Revenue Attribution. AI Creative Ops.
0.0on G2The problem
Point tools automated functions. Nobody owns outcomes.
Your CRM stores records but doesn't execute deals. Your ESP sends emails but doesn't orchestrate lifecycles. Your dashboards show charts but don't give answers. Your creative tools generate one asset at a time but don't produce campaigns.
Each tool automated a function. But no tool owns an outcome. The categories these teams need - deal execution, lifecycle orchestration, unified analytics, omnichannel creative production - didn't exist before. Now they do.
Four new categories
We didn't build better tools. We built agents that own outcomes.
Each category requires unified data to exist. That's what makes them categories, not features.
Intempt Sell
Pipegen broke into 8 tools. We put it back together.
Clay enriches. Outreach sequences. Gong records. Apollo prospects. HubSpot stores contacts. ZoomInfo sells intent. Reps stitch them together and still can't connect intent to call to close. And every signal is third-party.
The category: AI Pipegen
Find. Enrich. Sequence. Call. Close. Attribute. One workspace, one agent. Built on first-party CDP data - what prospects actually did on your site, not third-party intent you rent.
- Triages inbox by deal intent and value
- Drafts replies in your voice from the full account context
- Schedules inside threads - no calendar ping-pong
- Captures meetings into 60-second summaries + follow-ups
- Syncs deal state without rep data entry
Intempt Market
Your customer is one person. Your tools treat them like three.
Optimizely tests the page but can't send an email. Klaviyo sends the email but can't run an experiment. You optimize the page OR the journey, never both. Nobody can test 'does this page variant + this email sequence = more LTV?'
The category: Lifecycle Revenue
Same customer profile enters a website A/B test and receives the follow-up journey across email, SMS, and push. Revenue attributed back to the winning variant. Experiment the page. Orchestrate the journey. Attribute the dollar.
- Updates lifecycle stages automatically from behavioral + payment signals
- Triggers journeys by lifecycle stage, not channel
- Runs experiments that know who they're testing - not blind A/B splits
- Promotes winners to personalization rules automatically
- Measures activation, retention, repeat purchase, and LTV
Intempt Analyze
Three analytics tools. None connect a click to a dollar.
Google Analytics tracks pageviews. Amplitude tracks funnels. ChartMogul tracks MRR. Not one connects a click to a dollar. You know THAT you're making money but not WHY.
The category: Revenue Attribution
The only analytics that connects first touch to final dollar. Revenue, web, and product analytics on one identity graph. Dashboards live in minutes, the Data Analyst explains every revenue driver.
- Unifies web, revenue, product, and attribution - same numbers everywhere
- Connects ad spend to actual MRR with multi-touch attribution
- Tracks funnels with clickable drop-offs - users behind every number
- Scores accounts for churn risk and LTV from combined signals
- Surfaces anomalies and flags at-risk accounts proactively
Intempt Design
Your AI knows your brand. It doesn't know your customer.
Creative tools have one brain or two. Pletor knows your brand. Marpipe knows your catalog. Neither knows your customer. Every asset is on-brand but generic - same creative for a first-time visitor and a loyal buyer.
The category: AI Creative Ops
Three brains, every asset. Brand kit + customer data + product catalog. The only creative engine that generates for the person, not the audience. Page, email, SMS, image, video - all personalized.
- Extracts brand from your URL and enforces it across every surface
- Generates pack shots, lifestyle, on-model, and video at catalog scale
- Produces ads, email/SMS, site modules, and landing pages from one brief
- Formats for marketplace compliance and refreshes as products change
- Scales with your catalog, not your headcount
How switching works
Pick your category. Run the audit. Deploy the agent.
Start with a $1,000 Growth Audit on your chosen category. Two weeks, no commitment beyond that. Then an optional 90-day deployment that installs the agent and measures the outcome.
Pick your category
Start where the gap between your point tools and the outcome you need is widest.
Run a Growth Audit
A two-week assessment that maps your revenue leaks and produces a prioritized fix list with estimated lift. $1,000, no commitment beyond that.
Deploy the agent for 90 days
White-glove setup for up to 5 users. We install the agent, configure the data layer, and measure the outcome. $5,000/month.
Measure and decide
At 90 days, you have before-and-after numbers. Keep the platform and run it yourself (tech-only), or continue month-to-month. No long-term contract.
* Salesforce State of Sales (2024), HubSpot Sales Trends Report. Sales reps spend 28-35% of time on admin; marketing teams report 30-50% on data reconciliation across disconnected tools.
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.
The 90-day deployment
Four new categories. One platform.
Each initiative names a category that didn't exist before. Point tools automated functions. We built agents that own outcomes. The CDP makes the agent smart. The agent makes the data actionable.
White-glove setup for up to 5 users. Measured in 90 days. You keep everything we build.
Intempt Sales
Sales tools record. Agents execute.
Reps juggle 5 disconnected tools. Each sees one signal. The rep is the integration layer - manually stitching context across 50 deals. CRMs store records. Sequencers send emails. Call recorders transcribe. None of them move deals forward.
The category: AI Pipegen
This isn't a better CRM or a smarter sequencer. It's a new category. Gong records calls but can't draft the follow-up. Outreach sequences emails but can't read meeting notes. 11x and Artisan automate outbound but can't execute deals. Each tool sees one signal. The Outbound Prospector and Pipeline Closer see the full account - inbox threads, call transcripts, product usage, deal history - because the CDP unifies them. That's what lets reps move deals forward instead of updating systems: triage by intent, draft from context, schedule in-thread, capture meetings, sync deal state automatically. No rep can chain these across 50 deals in real time. No point tool can, because it only sees its own channel. Blu runs on desktop, mobile, and web - wherever the rep is, Blu is working.
01
Meet your deal execution agent
Clay enriches. Outreach sequences. Gong records. Apollo prospects. HubSpot logs. Five tools, zero connection from intent to close. One agent runs the full loop on first-party data:
- Triages inbox by deal intent and value - acts on signals the moment they arrive, not when a rep checks email
- Drafts replies in your voice from the full account context - deal history, call notes, product usage (saved to Drafts)
- Schedules inside threads - no calendar ping-pong, no external booking page, pre-call briefs auto-delivered
- Captures meetings into 60-second summaries, follow-up drafts, and next-step tasks - synced automatically
- Syncs deal state from call + email + product signals - pipeline reflects reality without rep data entry, on any device
This isn't a trial. It's a 90-day deployment.
02
What we deliver
Deal execution on desktop, mobile, and web
Integration + setup (white-glove for 5 reps)
White-glove setup for up to 5 reps: inbox, calendar, pipeline, qualification rules, and tone calibration.
Inbox → qualification → scheduling
Triage by intent, draft contextual replies, schedule inside threads. No manual back-and-forth.
Meetings → follow-through
Auto-generated summaries, follow-up drafts, next-step tasks, all synced automatically.
Deal velocity + pipeline accuracy
Stalled deal detection, auto-logged activity, and pipeline stages that reflect reality. Reps sell; Blu keeps the system honest.
03
How it works
| Action | Result | |
|---|---|---|
| 1 | Connect inbox + calendar + pipeline | Threads map to deals + contacts across devices |
| 2 | Lock qualification rules | 'Ready for meeting' criteria set |
| 3 | Run daily execution | Triage, draft, schedule inside threads |
| 4 | Capture meetings | Summary + follow-up + tasks created |
| 5 | Measure deal velocity | Time-to-close and meeting-to-opp conversion vs baseline |
Intempt Marketing
Point tools automated channels. Agents automate the lifecycle.
Marketing stacks split lifecycle across 4 tools - ESP, personalization, experiments, CDP. Each bolted on AI in 2025-2026, but the AI only sees what that tool sees. 94% of marketers have made zero progress integrating AI into operations. The data is fragmented. The agent is blind.
The category: Lifecycle Revenue
This isn't a better ESP or a smarter A/B testing tool. It's a new category. Braze sends messages but can't personalize your site. Optimizely runs experiments but doesn't know if the visitor is a first-timer or at churn risk. Klaviyo builds segments but they go stale between runs. When lifecycle stages, journeys, experiments, and personalization share one CDP, the Lifecycle Marketer orchestrates across the full lifecycle: it moves customers through stages, triggers journeys from behavioral signals, personalizes site experiences by lifecycle intent, and runs experiments that know who they're testing. That's what point tools can't retrofit - the agent needs the full picture to act.
01
Meet your lifecycle agent
Optimizely tests pages but can't email. Klaviyo emails but can't test pages. Nobody closes the loop. One agent experiments the page, orchestrates the journey, and attributes the dollar:
- Updates lifecycle stages automatically (New → Activated → Engaged → At-Risk → High-Value) from behavioral + payment signals
- Triggers journeys by lifecycle stage, not channel - onboarding for New, repeat-purchase nudges for Engaged, winback for At-Risk
- Runs experiments that know who they're testing - lifecycle-targeted variants, not blind A/B splits. CUPED variance reduction gets reliable winners in days
- Promotes winners to personalization rules automatically - experiment feeds the journey, journey data informs the next experiment
- Measures impact on activation, repeat purchase, retention, and LTV - not just opens and clicks
This isn't a trial. It's a 90-day deployment.
02
What we deliver
Lifecycle + journeys + experiments + personalization included
Behavioral data foundation + lifecycle design
Webstore + payments connected, identity resolved, lifecycle stages defined (New → Activated → Engaged → At-Risk → High-Value).
Journey orchestration (4-6 core flows, shipped)
Onboarding, repeat purchase, winback, at-risk intervention, and more - email/SMS/push + on-site, coordinated by lifecycle stage.
On-site personalization + experiments (3-5 tests)
Behavior-driven site experiences + CUPED-powered experiments with AI-generated creative. Winners promoted to personalization rules.
Lifecycle measurement
Cohort-based reporting on activation, retention, repeat purchase, and LTV direction. Before-and-after by lifecycle stage.
03
How it works
| Action | Result | |
|---|---|---|
| 1 | Connect webstore + payments + tracking | All behavioral + revenue signals unified in CDP |
| 2 | Define lifecycle stages + segments | The Lifecycle Marketer auto-assigns customers to stages from live signals |
| 3 | Build journeys + on-site experiences | Flows, templates, personalization rules shipped |
| 4 | Run experiments with CUPED | Reliable winners in days, promoted to rules |
| 5 | Measure lifecycle progression | Cohorts compared vs baseline across stages |
Intempt Analytics
Analytics tools show charts. The Data Analyst gives answers.
Teams run 5 analytics tools that can't see each other: GA for web, Mixpanel for product, ChartMogul for revenue, Triple Whale for attribution, Gainsight for accounts. Each added NL querying, but an AI that only sees one slice gives confident wrong answers. The numbers never agree because the data never connects.
The category: Revenue Attribution
This isn't a better dashboard or a smarter BI tool. It's a new category. Google Analytics sees web traffic. Mixpanel sees product events. ChartMogul sees Stripe. Triple Whale sees ad spend. Each added NL querying in 2025-2026, but an AI that only sees one slice gives you confident wrong answers. Churn risk needs behavioral + revenue + product signals together. Attribution needs to connect to actual MRR, not form fills. When the CDP unifies web, revenue, product, and ad signals on one identity graph, the Data Analyst can answer questions correctly - because it sees the full picture, not one tool's fragment. ThriveStack proved this for B2B SaaS. Same principle, broader scope.
01
Meet your analytics agent
Not a dashboard you stare at. Not a BI tool you query. Not 5 disconnected tools reporting different numbers. An agent that answers from web, revenue, product, and attribution data on one identity graph:
- Unifies web, revenue, product, and attribution analytics on one identity graph - same numbers everywhere
- Connects ad spend to actual MRR (not form fills) with multi-touch attribution across the full journey
- Tracks funnel conversion with clickable drop-offs - see the users behind every number, not just the percentage
- Scores every account for churn risk and LTV from behavioral + payment + product signals combined
This isn't a trial. It's a 90-day deployment.
02
What we deliver
Replaces GA + Mixpanel + ChartMogul + Triple Whale + Gainsight
Data foundation + unified identity graph
SDK installed, Stripe + webstore + CRM + ad platforms connected. One identity graph resolving across devices, sessions, and channels.
Revenue + attribution dashboards (same numbers everywhere)
Traffic, revenue, subscription, and multi-touch attribution from one source of truth. Period-over-period on every chart. No more conflicting reports.
Funnel + retention views (user-level, clickable)
Core conversion funnels built, retention heatmaps configured. Every drop-off step clickable to the user list behind it.
Predictive scoring from combined signals
Churn probability and LTV models trained on behavioral + revenue + product signals together - not just one source. At-risk accounts auto-flagged.
03
How it works
| Action | Result | |
|---|---|---|
| 1 | Connect Stripe + webstore + CRM + ad platforms | One identity graph across all revenue signals |
| 2 | Configure unified dashboards | Revenue, attribution, subscription - same numbers everywhere |
| 3 | Build conversion funnels | Every drop-off clickable to the users who left |
| 4 | Enable predictive models | Churn + LTV scored from combined behavioral + revenue signals |
| 5 | Set up agent alerts | Anomalies surfaced, at-risk accounts flagged before they churn |
Intempt Design
Creative tools make one thing. The Creative Designer produces everything.
Creative production is split across 5 tools for 5 surfaces - catalog photos, paid ads, email/SMS, site modules, marketplace listings. Each tool handles one surface. Nobody handles all five from one product feed. Traditional production: $85-250/SKU, 2-4 week turnarounds, scales with headcount.
The category: AI Creative Ops
This isn't a better photo generator or a smarter ad builder. It's a new category. CreatorKit generates photos but can't produce the matching ad or email. Smartly produces ads but can't build a landing page. Braze sends messages but can't generate creative. Each tool covers one surface. Nobody covers all five - catalog, paid, owned, site, channels - from one product feed. The Creative Designer connects your product catalog, Brand Kit, and channel specs into one creative layer and generates across every surface because it sees the product data, the brand rules, and the channel requirements together. Cost: $3-12/image, same day. ASOS reported 340% higher conversions with AI-generated imagery. The shift isn't cheaper photos - it's a production agent that scales with your catalog, not your headcount.
01
Meet your creative production agent
Pletor knows your brand. Marpipe knows your catalog. Neither knows your customer. Three brains - brand kit, customer data, product catalog - every asset personalized to who's seeing it:
- Extracts your brand from your URL and enforces it across every surface - catalog, paid, owned, site, channels
- Generates pack shots, lifestyle, on-model, and video from your product feed at catalog scale - no photoshoot
- Produces catalog ads (Meta, TikTok, Google, Pinterest), email/SMS/push templates, site modules, and landing pages from one brief
- Formats for marketplace compliance (Amazon, Etsy) and refreshes automatically as products and seasons change
This isn't a trial. It's a 90-day deployment.
02
What we deliver
Brand Kit + all five surfaces included
Brand Kit + product feed foundation
Brand extracted from URL, product catalog connected (Shopify/WooCommerce), generation rules configured, channel specs locked.
Catalog creative (product photography + video)
Pack shots, lifestyle, on-model, and product video for up to 200 SKUs - print-resolution, multi-angle, scene-controlled.
Paid + owned + site (ads, email, SMS, push, landing pages)
Catalog ads for every platform, message templates, site modules, and matched landing pages - all from one brief per campaign.
Marketplace + ongoing refresh
Amazon/Etsy format-compliant listings. Auto-refresh as products change. 5-10 performance variants per week biased toward winners.
03
How it works
| Action | Result | |
|---|---|---|
| 1 | Brand Kit + product feed connected | Brand governs every surface, SKU data ready |
| 2 | Generate catalog creative | Photos + video for up to 200 SKUs |
| 3 | Build paid + owned + site assets | Ads, email, SMS, push, landing pages, site modules from one brief |
| 4 | Format for marketplaces | Amazon, Etsy listings compliant and published |
| 5 | Measure production velocity | Cost-per-asset and time-to-market vs baseline |
After 90 days
Tech-only: Keep the platform and run it internally. Lower cost. You retain all configuration, journeys, experiments, and integrations built during the deployment.
Continue month-to-month: We keep optimizing and expanding workflows. No long-term contract. Useful when you want to add products or maintain managed execution.
Pick your category. See it in action.
Start where the gap between your point tools and the outcome you need is widest.
Talk to our team
Walk through a demo or get help scoping the $1,000 Growth Audit for your stack.
Compare alternatives
Side-by-side breakdowns against the tools you're already running.
See comparisonsCommon questions and objections
Pick the category where the gap between your point tools and the outcome you need is widest. AI Pipegen, Lifecycle Revenue, Revenue Attribution, or AI Creative Ops. Start with the $1,000 Growth Audit - two weeks, no commitment beyond that.
Turn your data into profit.
You set the strategy. Agents run the plays. Nine AI agents across design, marketing, sales, and analytics. One customer context, tracked from first pixel to final dollar.