> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ocular.dev/llms.txt
> Use this file to discover all available pages before exploring further.
# Device
> Google Ads performance by device and ad network — the richest breakdown, and the only one with cross-device conversion value and ad-level granularity.
Google Ads performance by device and ad-network type — the broadest metric set, including cross-device conversion value.
## What this data model represents
**Grain:** one row per `date × ad_account × campaign × adset × ad × device × ad_network_type`.
**Metrics, grouped by category** — every number you can compute on this data model. Expand below for examples in each.
```mermaid theme={null}
flowchart LR
R1["Spend & revenue"]:::cat --- S
R2["Clicks & impressions"]:::cat --- S
R3["Cost efficiency"]:::cat --- S
S(["Metrics"]):::root
S --- R4[Engagement]:::cat
S --- R5[Conversion]:::cat
S --- R6[Video]:::cat
classDef root fill:#0f172a,color:#f8fafc,stroke:#0f172a,stroke-width:2px
classDef cat fill:#2563eb,color:#fff,stroke:#1d4ed8,stroke-width:1.5px
```
```mermaid theme={null}
flowchart LR
sr1[Ad Spend]:::leaf --- SR["Spend & revenue"]
sr2[Conversion Value]:::leaf --- SR
sr3[ROAS]:::leaf --- SR
sr4[AOV]:::leaf --- SR
ci1[Clicks]:::leaf --- CI["Clicks & impressions"]
ci2[Impressions]:::leaf --- CI
ci3[CTR]:::leaf --- CI
ce1[CPC]:::leaf --- CE["Cost efficiency"]
ce2[CPM]:::leaf --- CE
ce3[CPA]:::leaf --- CE
ce4[RPC]:::leaf --- CE
SR:::cat --- S
CI:::cat --- S
CE:::cat --- S
S(["Metrics"]):::root
S --- En[Engagement]:::cat
S --- Cv[Conversion]:::cat
S --- Vd[Video]:::cat
En --- en1[Engagements]:::leaf
En --- en2[Interactions]:::leaf
Cv --- cv1[Conversion Rate]:::leaf
Cv --- cv2[Cross Device Conversions]:::leaf
Cv --- cv3[Cross Device Conversion Value]:::leaf
Vd --- v1[Video Views]:::leaf
Vd --- v2[Video 100% Watched]:::leaf
classDef root fill:#0f172a,color:#f8fafc,stroke:#0f172a,stroke-width:2px
classDef cat fill:#2563eb,color:#fff,stroke:#1d4ed8,stroke-width:1.5px
classDef leaf fill:#eff6ff,color:#1e3a8a,stroke:#bfdbfe,stroke-width:1px
```
**Dimensions, grouped by category** — every way you can split, filter, or group those metrics. Expand below for examples in each.
```mermaid theme={null}
flowchart LR
D1["Device & network"]:::cat --- M
D2[Ad]:::cat --- M
M(["Dimensions"]):::root
M --- D3["Campaign hierarchy"]:::cat
M --- D4[Time]:::cat
M --- D5["Account & brand"]:::cat
M --- D6["Creative & platform"]:::cat
classDef root fill:#0f172a,color:#f8fafc,stroke:#0f172a,stroke-width:2px
classDef cat fill:#9333ea,color:#fff,stroke:#7e22ce,stroke-width:1.5px
```
```mermaid theme={null}
flowchart LR
dn1[device]:::leaf --- DN["Device & network"]
dn2[ad_network_type]:::leaf --- DN
ad1[ad_id]:::leaf --- Ad
ad2[ad_name]:::leaf --- Ad
ad3[ad_status]:::leaf --- Ad
DN:::cat --- M
Ad:::cat --- M
M(["Dimensions"]):::root
M --- CH["Campaign hierarchy"]:::cat
M --- Ti[Time]:::cat
M --- AB["Account & brand"]:::cat
M --- CP["Creative & platform"]:::cat
CH --- ch1[campaign_id]:::leaf
CH --- ch2[adset_id]:::leaf
CH --- ch3[campaign_type]:::leaf
Ti --- t1[date]:::leaf
Ti --- t2[week_start_date]:::leaf
AB --- ab1[ad_account_id]:::leaf
AB --- ab2[brand]:::leaf
CP --- cp1[ad_platform]:::leaf
CP --- cp2[final_url]:::leaf
classDef root fill:#0f172a,color:#f8fafc,stroke:#0f172a,stroke-width:2px
classDef cat fill:#9333ea,color:#fff,stroke:#7e22ce,stroke-width:1.5px
classDef leaf fill:#faf5ff,color:#581c87,stroke:#e9d5ff,stroke-width:1px
```
**Source:** Google Ads API, daily refresh.
This is the **only** Google Ads data model that exposes `Cross Device Conversion Value`. It's also one of two models with ad-level granularity — the other is [Conversion Action](/data-models/google-ads/conversion-action). Use Device when the question crosses device boundaries; use Conversion Action when you need funnel stages.
## Slice by
Unique to this data model:
| Dimension | Type | Values |
| --------------------------------- | ------ | --------------------------------------------------------------------------------------------------------- |
| `device` | String | `Mobile`, `Desktop`, `Tablet` |
| `ad_network_type` | String | `Search`, `Mixed`, `YouTube`, `Other` |
| `ad_id` / `ad_name` / `ad_status` | String | Individual ad identity — also available on [Conversion Action](/data-models/google-ads/conversion-action) |
Plus the standard campaign hierarchy, time, and account dimensions — documented once on the [Google Ads Overview](/data-models/google-ads/overview).
## Use it to answer
* How does ROAS split across Mobile / Desktop / Tablet — where should budget shift?
* Which network (Search, Display, YouTube, partners) carries the actual conversions?
* How much revenue is being **cross-device-attributed** — am I under-crediting mobile?
* Which individual ad creative wins on each device?
## Available metrics
Everything you can compute on this data model. Need a metric not listed? See the [Google Ads metric availability matrix](/data-models/google-ads/overview#metric-availability-matrix).
| Metric | Formula |
| ----------------------------- | ------------------------------------------------------- |
| **Spend & revenue** | |
| Ad Spend | Sum of daily spend |
| Conversion Value | Sum of reported revenue |
| ROAS | Conversion Value ÷ Ad Spend |
| Conversions | Sum of attributed conversion events |
| AOV | Conversion Value ÷ Conversions |
| **Clicks & impressions** | |
| Clicks | Sum of clicks |
| Impressions | Sum of impressions |
| CTR | Clicks ÷ Impressions × 100 |
| **Cost efficiency** | |
| CPC | Ad Spend ÷ Clicks |
| CPM | Ad Spend ÷ Impressions × 1,000 |
| CPA | Ad Spend ÷ Conversions |
| RPC | Conversion Value ÷ Clicks |
| **Engagement** | |
| Engagements | Sum |
| Interactions | Sum |
| CPE | Ad Spend ÷ Engagements |
| CPI | Ad Spend ÷ Interactions |
| **Conversion** | |
| Conversion Rate | Conversions ÷ Clicks × 100 |
| View Through Conversions | Sum of conversions from impressions without clicks |
| Cross Device Conversions | Sum of conversions on a different device from the click |
| Cross Device Conversion Value | Sum of revenue from cross-device conversions |
| **Video** | |
| Video Views | Sum |
| Video 25% Watched | Sum |
| Video 50% Watched | Sum |
| Video 75% Watched | Sum |
| Video 100% Watched | Sum |
`ad_spend` · `conversion_value` · `conversions` · `clicks` · `impressions` · `engagements` · `interactions` · `view_through_conversions` · `cross_device_conversions` · `cross_device_conversion_value` · `video_views` · `video_25_watched` · `video_50_watched` · `video_75_watched` · `video_100_watched`