When we deploy Hyros for a client, we set two internal LGG targets, not Hyros or industry benchmarks. The first is 70% attribution at the lead capture level, which we aim to hit within the first few weeks. The second is 85%, which we work toward over subsequent months. Both refer to the same metric: the percentage of your revenue that Hyros can trace back to a specific click source.
Hyros bills on tracked revenue, not total business revenue. If a revenue event occurs but there is no click source associated to the lead record that produced it, Hyros does not count it as tracked revenue for billing purposes.
This distinction also has a direct operational meaning. Revenue that is not tracked to a click source is revenue for which you have no attribution data. You do not know which campaign, ad, or keyword contributed to producing it. It is invisible to your bidding optimization.
The tracked revenue percentage is therefore both a billing metric and a data quality metric. A higher percentage means more of your revenue is attributable and more of your media buying decisions can be grounded in actual performance data rather than estimates. Attribution accuracy is the foundation of our full Hyros implementation service.
Two functions, one number: tracked revenue percentage determines your billing tier and how much of your revenue you can actually optimize toward.
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The two targets represent different phases of implementation maturity, what a correct base deployment produces, and what deliberate ongoing optimization achieves.
The first meaningful target when Hyros is newly deployed. This means 70% of the leads entering your system have a click history stored in their Hyros lead record. When a correct base implementation is in place, LGG sets 70% as the minimum for a correct base implementation.
The three elements required:
Going from 70% to 85% requires closing gaps that are harder to solve. Some visitors will always be unattributable, users with aggressive fingerprinting protection, users behind corporate proxies, users who convert via channels with no click IDs.
Reaching 85% typically requires:
Very few implementations reach 85% without deliberate ongoing work. Most never get there. Complete call tracking is one prerequisite →
These targets describe lead records. Traceable revenue is a separate measurement. We ran the revenue version across 203,043 transactions that settled in client merchant and bank accounts, and 79.1% traced back to an ad click. Lead generation accounts reached 95.9%. Retail reached 63.9%. If your Hyros match rate looks healthy but your traceable revenue does not, the business model is usually the reason.
The practical value of a high tracked revenue percentage is not just cleaner reporting. It changes what bidding strategies are available to you and how well those strategies perform.
You have enough data to run target ROAS or target CPA bidding strategies and see meaningful improvement over manual bidding. The algorithm is receiving a signal more accurate than platform-native attribution but is still missing roughly 30% of your revenue events.
The bidding signal is strong enough that the algorithm's decisions are based on a near-complete picture of where revenue is coming from. Small changes in campaign structure, audience targeting, or creative produce measurable and predictable changes in revenue output. You can run experiments with confidence.
The real difference between 70% and 85%: the difference is not 15 percentage points of attribution. It is the difference between media buying decisions based on reasonably good data and media buying decisions based on data you can genuinely trust.
| Attribution | Bidding capability |
|---|---|
| Under 70% | Insufficient for reliable tROAS / tCPA |
| 70% | tROAS and tCPA viable, meaningful improvement over manual |
| 85%+ | Predictable optimization. Experiments produce measurable results. |
A common experience when first deploying Hyros is that the revenue Hyros attributes to your paid campaigns is lower than what Google Ads and Meta report. This is expected.
Hyros attribution is based on the actual click ID stored in the lead record. If there is no click ID, there is no attribution. This produces lower reported numbers than platform dashboards, but more accurate numbers for making media buying decisions.
What happens when clients switch to Hyros-based bidding: reported ROAS appears to drop. What has actually happened is that inflated attribution has been replaced with accurate attribution. The actual revenue has not changed. The measurement has become more honest.
| Factor | Platform attribution | Hyros attribution |
|---|---|---|
| Basis | Click windows + modeled estimates | Actual click ID in lead record |
| Conversion without click | Yes, view-through + modeled | No, click ID required |
| Reported ROAS vs actual | Often inflated | Lower, but accurate |
| Useful for bidding | Partially, incentive to over-report | Yes, no platform self-interest |
Hyros logs the full click chain and assigns each conversion once, to the right source. How the attribution models work →
The fingerprinting mechanism, first-party data association, and click ID capture that determine what gets into your attribution data. →
How downstream revenue events get sent back to Google and Meta and what the API payload contains. →
How we diagnose why attribution is low and what specific steps close the gap toward 85%. →
What Hyros costs by tracked-revenue tier, billing cycles, and the certified-agency discount.
Google Ads Help: About conversion windows, About modeled online conversions. Hyros: Pricing. Checked on October 3, 2026.
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Improving your Hyros attribution percentage is the foundational work that makes everything else in performance marketing more effective. LGG Media is a Hyros Certified Agency and has been working toward an 85% attribution target for clients since 2019.
For advertisers spending $100K+/month. No cost, no obligation. A person reads every submission.
Request a Discovery Call →Disclosure: LGG Media is a Hyros Certified Agency. We earn a commission when a client subscribes to Hyros through us. It does not change what we recommend.
