AdsKeeper

Start by deciding what outcome you want: leads, purchases, app installs, or article reads. In the campaign creator, set your KPI targets, daily cap, and pacing. Import creatives or build them with on-platform tools, then choose formats suited to native inventory or video. Attach tracking parameters such as UTM and click IDs and map conversions via pixel or postback. Pick audiences by interest, intent, device, and location. Add frequency caps, dayparting, and bid rules by site or widget. Launch knowing inventory is screened for quality and your bids compete in real-time auctions.

Optimization is a repeatable routine. Check the live performance view segmented by placement, publisher, geo, OS, and creative. Pause sources that miss CPA or ROAS, raise bids where margin holds, and schedule tests for headlines, images, and calls to action. Use automated suggestions to reallocate budget, expand contextual themes that convert, and refresh underperforming ads. Spin up retargeting to recover abandoners, build lookalike groups from converters, and open private marketplace deals when you want guaranteed access to premium inventory.

Running multiple brands or funnels? Manage web, in-app, and video channels from a shared workspace. Set demographic filters, tailor messages per audience variant, and sync mobile measurement partners for accurate post-install events. Enable fraud shields to block bots, suspicious IPs, and proxies. Apply whitelists for strict control or broaden reach with curated lists. Keep spend on track with automated budget guardrails, alerts, and pacing. Export granular logs to your BI tool or pull them via API, and subscribe to email or Slack summaries.

Monetizing a site is just as direct. Drop a lightweight widget tag, choose layouts that match your theme, and select categories that fit your editorial guidelines. Test placements above or below articles, in-feed, or sticky units, and compare RPM, CTR, and viewability. Set floor prices, control how often a user sees a tile, and block advertisers or topics you do not want. Fill every device with localized recommendations and let machine learning adapt to visitor behavior so revenue grows without sacrificing user experience.