MMP comparison · · By Cald
Adjust vs Tenjin: Specs, Pricing and Reviews
Compare mobile campaign operations with a lean game-monetization workflow—and verify the revenue that reaches your reports.
For a game studio, both deserve a revenue-focused pilot. Our editorial starting point is Adjust when campaign investigation, configurable callbacks and operational controls lead the brief; Tenjin when a small team wants acquisition and game monetization reporting together. Neither starting point establishes exclusive capabilities or better attribution accuracy.
This guide uses official documentation and public third-party reviews checked October 30, 2026. We separate documented product behavior, reviewer opinions and our interpretation. Cald has not conducted a controlled performance benchmark of these platforms.
Specs that change the implementation
| Requirement | Adjust | Tenjin |
|---|---|---|
| Ad-revenue collection | SDK, mediation API and network S2S routes have different granularity and delivery frequency. | Ad Mediation Revenue uses user- or impression-level mediation data supplied through the SDK. |
| Revenue reporting | Datascape has aggregated ad revenue and cohorts; raw records use separate delivery paths. | UA reporting includes mediation revenue and combined advertising-plus-IAP metrics. |
| Callbacks | Ad revenue needs a single-activity callback; it is excluded from the global callback. | Mediation revenue can feed ad-revenue callbacks for network-side campaign optimization. |
| Raw-data workflow | Server callbacks and cloud storage uploads deliver raw ad-revenue data. | Raw Data Exporter provides event-level CSV and API access in batches; each dataset covers up to 30 days. |
| Migration detail | API revenue from devices without recorded installs can appear under Unknown Devices. | Validate the existing-user and historical-data treatment for the exact migration rather than assuming continuity. |
Sources: Adjust ad-revenue reporting, Adjust callback setup, Tenjin mediation ROI, Tenjin metric definitions and Tenjin Raw Data Exporter.
The real comparison: source selection and operator effort
Adjust: choose the revenue route deliberately
Adjust documents impression-level callbacks for SDK mediation connections and daily device-level callbacks for mediation API connections. It also warns that API collection can pull account-wide revenue even when another app uses an SDK route. Filtering the intended sources is therefore part of preventing duplication. Source and frequency details.
Our inference: Adjust should get an early demo when your analysts need to inspect that delivery model and investigate exceptions. Bring the person who will own the receiving endpoint. Ask them to trace one sample impression through the agreed schema and explain how retries, missing fields and source changes are handled.
Tenjin: keep the monetization definition visible
Tenjin distinguishes network-based and mediation-based revenue metrics. Its metric list includes ad-only measures and combined ad-plus-purchase measures. Select the intended numerator before comparing cohorts; two columns labeled ROAS can represent different revenue sources. Metric reference.
Our inference: Tenjin should get an early demo when a small studio’s recurring question is whether acquisition cohorts are paying back through ads and purchases. Have the operator build that view unaided, then identify its data sources. A convenient dashboard still needs an owner for ingestion failures and financial reconciliation.
Pricing: compare a complete operating setup
Adjust publishes Base free for the first year up to 1,500 monthly conversions; Core and Enterprise are quoted. Confirm the required Growth Solutions.
Tenjin publishes 2,000 paid-attributed installs monthly free, then $0.04 each; paid plans start at $200 monthly. Confirm volume allowances and overages.
Do not treat those entry points as identical packages. Ask each vendor to mark which acquisition activity is billable and include the required revenue collection, raw-data delivery, support and retention. A plan allowance is not a statement about the total number of events your game may generate.
Prepare two forecasts: expected paid installs and a higher-growth scenario. Include your mediation provider, ad networks, game framework, apps and platforms. Then include the engineering time to maintain data delivery. Adjust identifies RevWorks as a Growth Solution in its revenue documentation; have the proposal state the exact entitlement required for your chosen route.
What third-party reviews say
Adjust: G2’s review synthesis praises usability and support while flagging setup complexity, latency and additional-module pricing. Treat these as reported experiences, not measured platform performance. G2 findings.
Tenjin: visible G2 reviewers appreciate centralized acquisition reporting and responsive support; some describe iOS integration friction or an initial learning curve. G2 reviews.
The review samples span different roles, plans and implementation dates, and some submissions may be solicited or incentivized. They are useful prompts for evaluation, not a guarantee that your team will have the same experience. We do not turn them into a star-rating contest.
Translate the themes into three checks: let your own operator construct a cohort report; submit a technically specific integration question during evaluation; and reconcile the proposed modules against the trial account. Record the time and help required, then compare that evidence with your staffing plan.
Worked pilot: a hybrid game’s first revenue cohort
Synthetic scenario: a Unity game buys traffic on two networks and earns money through rewarded ads and coin packs. The team wants a seven-day revenue cohort using one chosen mediation feed plus verified purchases. This is an illustrative acceptance plan, not a client result.
| Signal | Trigger and fields | Acceptance check |
|---|---|---|
rewarded_ad_revenue | The mediation revenue callback supplies a monetized impression. Preserve its identifier where supplied, timestamp, numeric revenue, currency, mediation provider and placement. | Trace the sample through one selected revenue route. Document unavailable fields rather than fabricating identifiers. |
coin_pack_payment_verified | Backend verifies a settled store transaction. Include transaction ID, event ID, product ID, permitted account context, UTC time, revenue and ISO currency. | One business transaction after retry handling; value and currency match the verified store record. |
- Freeze the definitions: align install dates, timezone, attribution windows and reporting currency. Specify whether revenue includes tax, refunds and store fees.
- Choose one ad source: verify that SDK and API feeds are not both counted for the same earnings. Keep network estimates separate from the selected mediation feed.
- Trace delivery: inspect one impression and one purchase in the supported report or export. Replay a purchase retry; counted revenue must remain one payment under your deduplication design.
- Test existing users: include a device from before the proposed migration. Explain any unmatched revenue and agree on supported device-import or cutover handling.
- Export the evidence: retrieve the agreed fields and rebuild the cohort calculation. Document known exclusions and reporting lag.
- Approve the operation: assign an owner to source failures, callback processing and recurring invoice checks before launch.
For iOS, test the supported Apple attribution setup separately. Aggregate privacy postbacks and eligible user-level reports are different inputs; neither vendor’s dashboard should be assumed to provide an unrestricted customer-level match.
Adjust or Tenjin: which should you evaluate first?
Take a four-step quiz and watch the fit forecast change with each answer. This is our editorial routing model, not a product benchmark. Your answers stay in this page and are not stored or submitted.
Your evaluation starting point
How this quiz makes a recommendation
The live forecast divides the points from answered questions between the contenders. Before weighted answers, shares are evenly split. These shares are not winning probabilities. Business-pattern points are our editorial hypotheses about where to begin a demo. They are not ratings of accuracy, quality or exclusive capabilities.
| Pattern | Adjust | Tenjin |
|---|---|---|
| A mobile app with a broad acquisition brief | 2 | 0 |
| An ad-supported mobile game | 1 | 3 |
| A customer journey spanning website and app | 1 | 0 |
| A team consolidating many ad accounts and spend sources | 1 | 1 |
| None of these, or still deciding | 0 | 0 |
The workflow question adds 3 points for its matching evaluation focus: campaign links → AppsFlyer; operations and callbacks → Adjust; cost normalization → Singular; web-to-app → Airbridge; lean game monetization → Tenjin. A focus outside this pair and “no single workflow” add no points. The higher total is evaluated first; equal totals recommend piloting both. The buying constraint changes the demo task, not the ranking. Mandatory requirements can override the result. Website-only answers bypass the comparison.