TUOCA vs. Make (Integromat) for Offline Conversion Tracking
The Upload Offline Conversions App (TUOCA) and Make (formerly Integromat) are both serious automation tools, but they live at opposite ends of the abstraction spectrum. Make is a general-purpose visual scenario builder with extraordinary flexibility — you can build almost anything in it. TUOCA is a vertical SaaS that does one thing: upload offline conversions reliably to Google Ads, Meta, Microsoft Ads, and TikTok.
If you’re choosing between them, the question is not “which is more powerful?” Make is more powerful. The question is “where do you want to spend your engineering attention?”
Overview
| TUOCA | Make | |
|---|---|---|
| Type | Vertical SaaS for OCT | Horizontal automation platform |
| Setup metaphor | Configure a Relay | Design a scenario |
| Pricing model | Flat tiers | Per-operation, per-month |
| Best for | Offline conversion uploads | Anything you can wire together |
| Ad platform integrations | Google Ads, Meta, Microsoft, TikTok | Same — plus thousands of other apps |
| Built-in dedup | Yes | No |
| GCLID/PII validation | Yes | DIY |
| Per-record activity log | Yes | Operation history (different model) |
| Multi-tenant agency model | Native | Workspace per client |
Make is the better answer if your conversion uploads are part of a much larger automation footprint. TUOCA is the better answer if you want offline conversion uploads to be a solved problem rather than an ongoing engineering project.
Feature comparison
| Feature | TUOCA | Make |
|---|---|---|
| Google Ads click + call + ECL | Native | Module available |
| Meta Conversions API | Native | Module available |
| Microsoft Ads OCT | Native | Module available |
| TikTok Events API | Native | Module available |
| Automatic SHA-256 hashing | Yes | DIY (Hash module) |
| Automatic E.164 phone normalization | Yes | DIY (Text Parser / Regex) |
| GCLID format validation | Yes | DIY |
| Multi-source matching (Fusion) | Native | DIY (Iterator + Aggregator + Filter) |
| Multiple conversion actions per client | Native (Relay portfolio) | One scenario per action |
| Cross-channel composition (calls + CRM + forms) | Native | DIY across multiple scenarios |
| Hash-based deduplication | Yes | DIY (Data Store + Filter) |
| Retry queue with backoff | Yes (error-aware) | Generic 3-attempt retry |
| Processing-delay buffer | 6h default for Google Ads | DIY (Sleep module) |
| Per-record state | Yes | Operations log |
| Cross-client dashboard | Native (Agency tier) | Multi-workspace setup |
Five key differentiators
1. Operations vs. records
Make’s pricing and observability unit is the operation — one module run consumes one or more operations, depending on what the module does. Make’s logs show you operations: what each module did, what data flowed through it.
TUOCA’s unit is the record — a call, a job, a sale. Records have IDs, hashes, and lifecycle states (pending → uploaded → confirmed, or pending → rejected → retried). You can see every record TUOCA has ever processed for any source, with the platform-side outcome attached.
For ad operations work specifically, the record-level view matters: when a client asks “did the $4,500 plumbing job from last Tuesday make it to Google Ads?” you can answer in seconds in TUOCA. In Make, you trace it back through scenario history.
2. Fusion Relays
Make can technically implement Fusion Relay logic — fetch from Source A, search Source B, match on phone, merge fields, deduplicate, fall back to Enhanced Conversions for Leads if no GCLID is found. The Make scenario looks something like this:
[CallRail: Watch new calls]
↓
[Iterator: per call]
↓
[ServiceTitan: Search jobs by phone]
↓
[Filter: only continue if job exists in correct date range]
↓
[Tools: Hash phone with SHA-256]
↓
[Tools: Format date for Google Ads]
↓
[Data Store: check if conversion already uploaded]
↓
[Filter: only continue if not already uploaded]
↓
[Google Ads: Upload click conversion]
↓
[Data Store: mark as uploaded]Each Make customer who has built this finds it works — until ServiceTitan changes a field name, or a client uses a different match field, or the dedup window needs to change. Then someone has to remember how the scenario works and update it everywhere.
In TUOCA, this is two clicks: pick Source A (CallRail), pick Source B (ServiceTitan), pick destination (Google Ads). Match field, normalization, dedup, and ECL fallback are baked in.
3. Per-platform error knowledge
Make returns whatever the API returns. If Google Ads says CLICK_NOT_FOUND, Make logs CLICK_NOT_FOUND and either retries (generically) or fails the scenario.
TUOCA’s Errors database catalogs every common API error across all four platforms. Each error has a known behavior: CLICK_NOT_FOUND is held in a 6-hour retry queue (because it’s usually a propagation timing issue), INVALID_USER_IDENTIFIER is rejected immediately (because no amount of retrying will fix bad PII), EVENT_TIME_TOO_OLD is rejected and surfaced (because the conversion has aged out of the lookback window). The platform handles each correctly without your team having to learn the rules.
4. Multi-client at scale
Agencies running Make typically end up with one of two patterns:
- One workspace per client with cloned scenarios — easy to reason about, expensive at scale, painful to update everything when an API changes.
- One workspace with parameterized scenarios — efficient, but the scenarios become brittle and hard to debug.
TUOCA’s Agency tier treats clients as first-class objects. Each client has connections, relays, and activity logs. You bulk-onboard clients, apply team templates, and see cross-client metrics in the Agency Dashboard.
5. Cost structure as you grow
Make’s pricing scales with operations. A typical Fusion-style upload uses 8-12 operations per matched conversion (multiple module runs across the scenario). At 30 clients × 200 conversions/month × 10 ops = 60,000 ops/month. That’s into Make’s Pro tier ($16/month for 10k ops) extended with operation packs, or the Teams tier.
TUOCA’s tiers are flat. Once you’re on the Pro or Agency plan, the marginal cost of an additional client or an additional 10,000 records is zero. See Pricing for current limits.
Why Relays Matter (Beyond One Conversion Action)
Make can build a scenario for any single conversion action you can describe. The friction shows up when you want to run many conversion actions per client, each with its own logic, all maintained over time.
TUOCA’s Relay model is structured around exactly that: a portfolio of conversion actions per client, each driven by its own configured Relay, all living under a unified per-client view.
| Business outcome | TUOCA Relay | Google Ads conversion action | Value sent |
|---|---|---|---|
| Call > 60 seconds | CallRail → Google Ads | “Qualified Call” | $50 (signal) |
| Appointment booked | Form / CRM webhook → Google Ads | “Appointment Booked” | $150 |
| Quote sent | HubSpot stage → Google Ads | “Quote Sent” | Avg quote value |
| Job completed (Fusion) | CallRail + ServiceTitan (Fusion) → Google Ads | “Revenue Conversion” | Actual revenue |
| Recurring plan signup | ServiceTitan plan → Google Ads | “Recurring Signup” | Annualized value |
In Make, that’s 5 scenarios × N clients × ongoing maintenance whenever a source schema or destination API changes. In TUOCA, that’s 5 Relays per client, replicated across the portfolio via team templates at the Agency tier.
Conceptual parallel: Invoca’s Signals feature lets enterprise teams produce custom conversion events from call data. TUOCA Relays do the same thing for any source — at a non-enterprise price point. See TUOCA vs. Invoca for that comparison.
When to choose Make
- Your offline conversion uploads are part of a broader automation portfolio that includes CRM hygiene, data warehousing, internal notifications, and other workflows.
- You have an automation engineer on staff who maintains scenarios and is comfortable with the operations-based pricing model.
- You need extreme flexibility — for example, conditional uploads based on data sources Make supports but TUOCA doesn’t (yet).
- You’re under ~3,000 conversions/month and Make’s lower per-operation cost makes the math work.
When to choose TUOCA
- Conversion uploads are a discrete, ongoing operational process.
- You need Fusion — call tracking GCLID + CRM revenue, matched and uploaded.
- You’re at agency scale with 5+ clients, and per-client scenario maintenance is becoming a liability.
- You want the /errors/ catalog and per-record activity log to handle support questions without scenario archaeology.
- You don’t want to be the person on call for the next Google Ads API breaking change.
Side-by-side: a CallRail → Google Ads upload
The simplest non-trivial workflow — fetch CallRail calls, hash phone numbers, upload to Google Ads — looks like this in each tool:
Make scenario (typical):
[CallRail: Watch new calls (10 min)]
→ [Iterator]
→ [Filter: tracking_number_id matches client]
→ [Set Variable: format conversion_time]
→ [Tools: SHA256 phone]
→ [Tools: SHA256 email]
→ [Google Ads: Upload click conversion]
→ [Error handler: log to Google Sheets]Maintenance surface: ~8 modules per client × N clients.
TUOCA Relay (typical):
- Connection: CallRail (3-step OAuth wizard)
- Connection: Google Ads (OAuth)
- Relay: CallRail → Google Ads, set conversion action, schedule daily
- Done.
Maintenance surface: 1 relay configuration per client. Schema changes propagate automatically.
Bottom line
Make is a phenomenal tool. If you’ve already built a complex offline conversion pipeline in Make and it’s working, there’s no urgency to migrate. But if you’re staring at a spreadsheet of “Zaps and scenarios I need to build for a new client portfolio,” TUOCA collapses that work into a configuration step instead of an engineering project.
For most agencies and in-house teams whose primary objective is reliable offline conversion uploads, TUOCA is the right level of abstraction. For teams whose primary objective is broad business automation that happens to include conversion uploads, Make remains a strong choice — and the two work well alongside each other.