Compare customer sentiment between your brand and competitors to identify strengths and weaknesses.
Deliverables:
⭕ Benchmarking report with comparative sentiment analysis
⭕ Strategic recommendations for leveraging strengths and addressing weaknesses
⭕ Example competitor benchmarking report here
Provide influencers with insights into customer sentiment to guide authentic content creation.
Deliverables:
⭕ Influencer briefs with messaging guidelines and content suggestions
⭕ Examples of successful customer narratives
Revise post-purchase or churn surveys using language that reflects how customers express themselves. Review negative sentiment reviews and cancellation feedback, and identify emotional drivers, objections, or friction points.
Deliverables:
⭕ Updated survey questions and answer bank
⭕ Tone-of-voice and phrasing recommendations
⭕ Example Exit Survey report here
Improve CTR on brand campaigns by using high-performing customer phrases. Analyze 5-star customer reviews to identify language of loyalty and satisfaction.
Deliverables:
⭕ 10 revised brand ad variants, based on emergent themes
⭕ Messaging matrix mapping sentiment to ad elements (headlines, descriptions)
⭕ Example Brand Search Ad Copy report here
Build ad campaigns targeting pain points found in competitor 1- and 2-star reviews. Scrape and analyze competitor reviews for dissatisfaction signals.
Deliverables:
⭕ Entire Google Ads search campaign build including keywords, ads, and recommended settings (in CSV)
⭕ Includes suggested LP framings and CTA recommendations
⭕ Example Competitor Conquesting report here
Generate new ad variants based on 5-star customer language and emotional drivers
Build keyword themes and LPs around customer-voiced problems and desires
Extract pain points from 1-star competitor reviews and create alternative ad campaigns targeting those gaps.
A supplements brand entered the menopause wellness category.
RedditLens scanned forums and subreddits to surface high-friction pain points overlooked in traditional research – e.g. “feeling dismissed by doctors”, “brain fog”, “relationship strain.”
These themes directly informed a brand campaign that achieved 4.5x ROAS on first touch.
A new product team needed to prioritize features and fix early-stage churn. SPARK revealed that while formulation scored high, users felt disappointed by packaging quality and price justification.
These insights fed into a product relaunch strategy that directly impacted on reduced refund rates.
A client lacked clarity on who their best customers really were.
SPARK clustered reviews into 3 primary personas, including “Luxury Devotee” and “Skeptical First-Timer”, each with distinct motivations.
These were used to personalize landing pages and Meta ad sets, driving a 24% lift in CTR on cold traffic.
A haircare client submitted creative with strong copy, but weak visual hierarchy.
AdVitals’ attention heatmap showed the CTA was being ignored while attention pooled on a minor design element.
With visual rebalancing and clearer focal emphasis, engagement increased by 39% without any copy change.
A beauty brand tested five static ads for Performance Max using AdVitals before launch.
The highest-scoring creative showed superior cognitive fluency and clear sequence framing (Serial Position Effect).
That variant later outperformed the others by 2.1x in ROAS, validating the predictive value of pre-testing.
A DTC skincare client had 1,000+ reviews but no clarity on what mattered most to customers.
SPARK scored and clustered reviews into 5 actionable themes (price sensitivity, texture, scent, packaging, long-term effects).
Outputs powered a new email and landing page flow, leading to 48% higher engagement on remarketing assets.
A premium beauty brand saw low conversion on a best-selling product page.
SenseIQ revealed the hero copy lacked empathy and emotional intensity, while FAQs failed to address core objections.
After reordering key sections and rewriting headlines with stronger emotional framing, conversion rates increased by 32%.
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