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What Proof Points Show TPG Has Delivered 20%+ Lift?
We demonstrate 20%+ improvements (where achieved) with auditable before/after data from client systems—not anecdotes. Proof includes Search Console and GA4 exports, rich result and AI citation evidence, experimentation logs, and CRM pipeline deltas tied to AEO pages.
Our proof is a “show your work” packet: time-normalized exports from your analytics and CRM, linked to change logs and page lists. We only cite 20%+ lift when the data is attributable (e.g., question-query CTR, organic sessions from answer pages, CPQL, pipeline per page) and independently verifiable in your systems.
What We Share to Substantiate Results
| Proof Point | Data Source | How You Audit | Why It Proves Lift |
|---|---|---|---|
| Question-query CTR gain | Google Search Console (query & page reports) | Filter who/what/why/how queries; compare pre/post for AEO pages | Shows better match to buyer intent and snippet eligibility |
| Organic traffic to AEO pages | GA4 landing page report with AEO page set | Segment by page path; normalize by publish age | Isolates growth from the answer cluster |
| Rich result / FAQ coverage | Search Console rich result reports + schema lint logs | Verify valid JSON-LD and coverage over time | Evidence that engines can extract answers |
| AI citation visibility | Visible citations in AI experiences (where surfaced) | Spot-check referenced URLs; tag and trend monthly | Indicates machine-readable authority beyond SERP |
| CPQL / CAC improvement | Ad platforms + marketing automation + CRM | Attribute leads/opps to AEO pages; compare costs | Economic validation, not just traffic |
| Pipeline per page | CRM multi-touch model with page set | Export opp influence; divide by published pages | Normalizes results to content volume |
| Experiment results | A/B test logs or holdout analysis | Review test design, sample sizes, and uplift calc | Removes seasonality and campaign bias |
How We Assemble the Proof Packet
1) Define Page Set
Lock the canonical list of AEO pages and their publish dates; map to slugs for reporting.
2) Capture Baselines
Pull 90-day pre-publish metrics from GSC, GA4, and CRM; note any major campaigns.
3) Log Changes
Track content pushes, schema updates, redirects, and internal links in a changelog.
4) Compare Fairly
Normalize post-publish windows by page age; remove brand spikes and paid cannibalization.
5) Share Artifacts
Provide redacted exports, dashboards, and methodology notes so your team can replicate.
FAQs
Can you share named client numbers?
We protect client confidentiality. We share redacted dashboards and reproducible methods so you can verify results without exposing private data.
What counts as “20%+ lift”?
A sustained ≥20% improvement in a primary KPI (e.g., question-query CTR, organic sessions to AEO pages, CPQL reduction, or pipeline per page), measured against a comparable pre-period.
How do you avoid seasonal or brand-driven bias?
We use matched time windows, holdouts where possible, and exclude brand spikes and paid traffic from the AEO page set.
Will you run an independent audit?
Yes. We’ll walk your analysts through recreating the exports directly in your GSC, GA4, and CRM so findings are independently verified.
What if data is incomplete?
We document gaps, add tracking where needed, and define interim metrics until a full funnel view is available.
Get in touch with a revenue marketing expert.
Contact us or schedule time with a consultant to explore partnering with The Pedowitz Group.