Google explicitly recommends feeding offline conversion data back into their algorithm. Their documentation is direct about why: it improves campaign performance and unlocks more powerful automated bidding.
"Combine your online website measurements with your offline first-party data (from order management or data platforms) in Google Ads to improve campaign performance."
Google calls it enhanced conversions for leads, describing it as a feature that can "improve the accuracy of your conversion measurement and unlock more powerful bidding." When Google receives actual revenue data, its bidding algorithms can optimize for conversion value, not just conversion volume. Instead of treating every call equally, Value-Based Bidding strategies like Target ROAS learn which clicks produce higher-value customers and allocate budget accordingly.
RevSync by SearchLight automates this feedback loop with accurate, normalized data pulled from multiple call tracking providers, conversion tools (including forms and chats), and CRMs. It connects a contractor's downstream performance data to Google Ads, continuously uploading booking confirmations and closed revenue so the algorithm can learn which clicks actually produce paying customers.
This case study tracks one contractor's Google Ads performance across 10 months: 4 months before RevSync (June-September 2025) and 6 months after (October 2025-March 2026). It then compares the results against a control account with comparable Google Ads spend and no RevSync.
A note on methodology: Because the pre and post periods are different lengths (4 months vs. 6 months), all performance metrics are compared as monthly averages, not period totals. Revenue figures represent average monthly closed revenue. ROAS, book rate, and average ticket are calculated on the full period then compared as percentage change. The indexed comparison further normalizes by setting each account's own pre-period average to 100.
After RevSync activation, ROAS climbed 25%, average ticket climbed 14.5%, and average monthly closed revenue climbed 28% (from $559K/month to $718K/month). When the algorithm knows which clicks produce revenue, it allocates budget toward those signals, favoring the searches, devices, times of day, and audiences that produce higher-value customers.
The pre-RevSync period (June-September) is peak summer demand. The post-period (October-March) starts in the off-season. To isolate RevSync's impact from seasonal effects, we compared performance against a control account, a similar independent contractor with comparable Google Ads spend and no RevSync activation during the same period.
We indexed each account's pre-period monthly average to 100, then measured post-period monthly performance against that baseline. An index of 125 means a 25% improvement over the account's own starting point. This approach normalizes for the different period lengths (4 months vs. 6 months) and lets us compare how each account performed relative to itself, regardless of absolute numbers or time frames.
The RevSync account improved ROAS by 25% relative to its own baseline. The control account declined by 20%. Same market conditions. Same seasonal dynamics. Same time period. The difference: one account was feeding real revenue data into Google's algorithm. That produced a 45-point swing in ROAS performance.
A fair question: did the campaign mix shift in a way that explains the improvement? We looked at both the spend distribution and the customer composition to find out.
Branded spend barely moved. Branded campaigns accounted for 6.4% of total spend in the pre-period and 7.4% in the post-period, a 1-point increase that does not meaningfully affect blended ROAS.
PMax spend increased. Performance Max campaigns rose from 19.3% to 30.5% of spend, absorbing share from non-branded search. Because PMax blends multiple campaign types into a single bucket, the branded vs. non-branded split within PMax was not isolated for this study. Some portion of the ROAS improvement could reflect a favorable mix within PMax.
| Campaign Type | Pre-RevSync | Post-RevSync | Change |
|---|---|---|---|
| Branded | 6.4% | 7.4% | +1.0pp |
| Performance Max | 19.3% | 30.5% | +11.2pp |
| Non-Branded Search | 74.3% | 62.1% | -12.2pp |
But the new customer share held steady. If the improvement were driven by branded spend or repeat customers (people who already know the name), you would see the share of new paying customers decline in the post-period. It didn't.
| Period | New Paying Customers | % of Total Paying |
|---|---|---|
| Pre-RevSync (Jun-Sep) | 67.6% | avg of 64.0%, 66.9%, 68.9%, 70.6% |
| Post-RevSync (Oct-Mar) | 68.4% | avg of 69.0%, 67.3%, 67.9%, 66.7%, 69.4%, 69.8% |
The algorithm isn't recycling existing customers more efficiently. It is finding better new customers: new customers who book higher-ticket jobs. The average ticket increase is happening on new customer acquisition, not repeat business.
Both accounts saw average ticket increase, expected in the cooler months when system replacements outpace repairs. But the RevSync account's ticket rose 15% versus the control's 11%.
That 4-point gap is the algorithm at work. When Google knows that certain searches produce $8,000 system replacements while others produce $200 diagnostic calls, it shifts budget toward the higher-value signals. The mix naturally tilts toward larger jobs. On hundreds of paying customers per month, even a small shift in average ticket compounds into the 28% revenue increase we see in the top-line numbers.
This is exactly what Google describes: when the algorithm receives higher-quality conversion signals, it can optimize for conversion value and allocate budget more effectively.
| Metric | RevSync (Index) | Control (Index) | Gap |
|---|---|---|---|
| ROAS (Closed) | 125 (+25%) | 80 (-20%) | 45 pts |
| ROAS (Potential) | 124 (+24%) | 86 (-14%) | 38 pts |
| Average Ticket | 115 (+15%) | 111 (+11%) | 4 pts |
| Closed Revenue (Avg/Month) | $718K | — | +28.3% |
The RevSync account outperformed its own baseline and outperformed the control on every metric that measures revenue. The pattern held on both closed revenue and revenue potential, which suggests the improvement is durable, not a one-month anomaly.
Booking data. When a Google Ads lead books an appointment in the contractor's CRM, RevSync sends that booking confirmation back to Google as a conversion event, including average ticket values segmented by business unit (install, service, maintenance). Google now knows which clicks led to booked jobs, not just phone calls.
Revenue data. When the job is completed and invoiced, RevSync sends the closed revenue amount back to Google. Google now knows which clicks led to $500 drain cleanings versus $12,000 system replacements, and can optimize bidding accordingly.
All conversion tools included. RevSync tracks and uploads bookings and revenue from every conversion source: phone calls, forms, chats, and online booking. Most contractors use multiple tools across their marketing stack. RevSync normalizes the data across all of them so nothing falls through the cracks.
Multiple CRM integrations. RevSync integrates with the CRMs home services contractors actually use. The data is normalized and deduplicated before it reaches Google, so the algorithm receives clean, accurate conversion signals regardless of how complex the tech stack is.
This feedback loop runs continuously. Every booking and every invoice updates Google's understanding of which audiences, keywords, and campaigns produce the highest-value customers. It is the same mechanism Google recommends in their own documentation, automated and connected to the contractor's full conversion ecosystem.
Built for home services. RevSync is not a generic offline conversion tool. It was designed specifically for the complexities of the home services market, where leads flow through call tracking providers, CRMs, and dispatch systems before becoming revenue. SearchLight's data architecture was built to handle that complexity with maximum accuracy.
Managed setup and expert support. SearchLight's team handles the full setup process and provides ongoing strategic consultation from advertising and analytics experts who know your account, your market, and your business. Support is direct and responsive, not a ticket queue.
Trusted nationwide. RevSync is used by leading agencies, private equity groups, and contractors across the country. The SearchLight team brings decades of experience in advertising management and analytics to every account.
Data Source
RevSync account: Multi-trade home services contractor · Pre-period: June-September 2025 (4 months) · Post-period: October 2025-March 2026 (6 months) · RevSync activated October 2025
Control account: Independent contractor with comparable Google Ads spend · Same time periods · No RevSync activation
Indexed comparison: Each account's pre-period average set to 100 · Post-period shown as index against own baseline · Revenue compared as monthly averages to normalize for different period lengths · All metrics from SearchLight revenue attribution with CRM integration