Hooks in your buyers own words
Phrases pulled from reviews and comments where customers already explain why they bought, ranked by how often the theme repeats rather than by how good it sounds in a meeting.
Similarweb Ad Intelligence
Similarweb ad intelligence is a competitive advertising research product: it shows which ads your competitors run, on which networks and publishers, and how their spend and creative mix move over time. That answers what the market is doing. It does not answer why your own buyers will respond, which objection is costing you conversions, or which sentence in your reviews would outperform the hook you are testing now. Selzee answers that half, and this page covers exactly where the line falls.
Similarweb ad intelligence is built for competitive visibility. Similarweb describes the module as letting you research any website desktop and mobile advertising strategies, track market share by traffic and impressions across video and display formats, platforms, countries and partners, and access millions of ad creatives and landing pages. For a team that needs to know which networks a rival is buying, which publishers carry their display, and how the creative mix shifted last quarter, that is the right purchase and it does the job well.
The boundary is worth naming precisely, because it is not a flaw. Competitive intelligence is observational by construction. It reports what is externally visible about another company advertising, and everything that decided that advertising stays inside the company that ran it. You can see that a competitor ran a durability claim for eleven weeks. You cannot see the review analysis that told them durability was the objection worth answering, because that never left their building.
So the product cannot tell you what your own customers respond to, which objection is killing conversion on your product pages, or which exact phrase from your reviews would beat the hook currently running. Teams that work only from competitor ad data end up copying surface patterns, and that is the usual explanation for why creative described as inspired by competitors underperforms: the execution transfers and the argument does not.
What actually happens inside most ecommerce teams is a two-layer process, and only the top layer is tooled. A competitor tool covers market awareness. Underneath it, somebody opens the review export, scrolls Klaviyo replies, reads ad comments and tries to find language worth testing. That second layer is manual, it is inconsistent between the person who does it well and the person who does it in a rush, and it is the first thing dropped when a launch date moves.
The result is briefs written from memory. The strategist who read four hundred reviews in March writes the July brief from what they half remember, and the customer evidence that made the March ad work never reaches the designer. Nothing compounds, and every quarter starts near zero.
The pressure on that bottleneck keeps rising from both directions. Production volume stopped being the constraint, with Meta reporting more than one million advertisers using its generative tools to create over 15 million ads in a single month as of December 2024, and the cost of a weak argument keeps climbing, with Facebook cost per lead up almost 21% year over year in 2025, per WordStream benchmarks. So the real bottleneck was never competitor visibility. It is turning first-party feedback into creative direction fast enough to keep pace with the testing cycle.
Selzee reads your customer reviews, comments and product data alongside your Meta Ads and Klaviyo performance, then returns the hooks, angles and objections that move your buyers. Not a screenshot library. A ranked set of things to say, each carrying the customer evidence that argues for it. The reason this works is unglamorous: the answer was already sitting in data you own and nobody had the hours to read it.
That evidence is also what makes the output survive a meeting. A brief that says make it feel more premium is one person taste against another. A brief that says thirty seven reviews name the packaging as the reason they gifted it, lead with that, ends the debate before it starts. Sarah Levinger, Founder of Tether Insights, puts the same point at the level of the data itself: “I wish more brands would use the data they have and start analyzing for emotional insights instead of just transactions.”
It is also where the leverage genuinely is. Nielsen creative effectiveness research credits creative, not targeting or media spend, with up to 89% of a digital ad in-market success, and the creative doing that work is the argument rather than the aspect ratio. For the wider category view, the ad intelligence tools comparison scores Similarweb, AdClarity, BigSpy and Selzee side by side on data source and use case.
Six outputs, all derived from data your store already produces. Nothing here requires a research phase first, because the material is your existing reviews, comments and campaign results.
Phrases pulled from reviews and comments where customers already explain why they bought, ranked by how often the theme repeats rather than by how good it sounds in a meeting.
The reasons buyers hesitate, refund or leave a three star review, surfaced as a ranked list so the next ad answers the one that actually blocks purchase.
Structured briefs that carry the angle, the proof and the customer evidence behind it, so the creative team starts from a decision rather than a blank document.
Themes present in your customer language and absent from your live creative, which is the fastest place to find a test that is genuinely new rather than a variant of a winner.
Campaign performance read alongside customer language, so a claim that is winning gets more budget and a claim that is flattering nobody gets retired.
Connects to Shopify, Meta Ads, Klaviyo, Google Sheets and review platforms, so the data stays where it already lives and nobody exports a spreadsheet to make it work.
Ecommerce marketing teams, growth managers and creative strategists use Selzee to remove the manual digging that used to eat hours before every brief. The workflow becomes repeatable rather than heroic: customer insight in, tested creative direction out, on a cadence that survives a busy quarter instead of collapsing during one.
The teams that switch tend to arrive from the same four places: a spreadsheet of review quotes, a Notion doc nobody updated, a folder of ChatGPT prompts that produce fluent hooks with no provenance, or a generic ad generator that makes assets faster without making them righter. In every case the missing piece was not more competitor visibility. It was faster, sharper use of the customer data they already had.
Keep the competitor tool if it is earning its price. Market awareness is real and a category you cannot see is a category you will misprice. Just stop asking it a question it was never built to answer. If you want the neighbouring view, the digital advertising intelligence guide covers the wider field and competitor ads analysis covers reading rival creative properly when you do it.
"Competitor tools tell you what the category is saying. They cannot tell you what your buyer is stuck on, because that sentence is in your reviews and nowhere else. Teams keep buying more visibility when the answer was already in their own data."
Similarweb ad intelligence is a competitive advertising research product. It shows which ads a competitor is running, on which networks and publishers, and how their creative mix and estimated spend shift over time, alongside market share by traffic and impressions across display and video. It is built for market visibility, not for campaign execution.
Only if the job you are hiring for is creative direction. Selzee does not monitor competitor ad accounts, estimate rival spend or map publisher networks. It reads your own reviews, comments, product data and campaign performance and returns hooks, angles and briefs. Teams that need both market visibility and creative direction run both.
Because a competitor ad shows the execution and hides the argument. You can see the format, the pacing and the offer framing, but not the customer research that decided what the ad should claim. Copying the visible half produces an ad that looks correct and answers an objection your buyers do not have.
Your existing customer feedback and campaign data. Reviews, ad comments, survey answers and support threads on the language side, and Meta Ads, Shopify and Klaviyo on the performance side. There is no research phase to run first, because the material Selzee reads is data your store already produced.
A general model writes plausible hooks from general knowledge of your category. Selzee writes hooks from your customers actual sentences and attaches the evidence, so you can see how many buyers raised a theme before you spend on testing it. The difference is provenance, not phrasing.
No. Knowing what the market is running is genuinely useful for format and category awareness. What it cannot do is tell you which objection is stopping your buyer, and that question decides more of your performance than any competitor screenshot.
The fastest way to know if Selzee fits is to see it run on your actual reviews, comments and campaign performance rather than a demo dataset. In a live walkthrough we will turn your customer feedback into hooks and briefs your team can test this week.
Request a demoKeep exploring: the best ad intelligence tools compared, the digital advertising intelligence guide, the ad intelligence platform, competitor ads analysis, ad analysis from customer data.